OpenAI
AICommonly used with
Skills using OpenAI (5359)
ml-paper-writing
Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, conducting literature reviews, finding related work, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, citation verification workflows, and paper discovery/evaluation criteria.
writing-anti-ai
This skill should be used when the user asks to "remove AI writing patterns", "humanize this text", "make this sound more natural", "remove AI-generated traces", "fix robotic writing", or needs to eliminate AI writing patterns from prose. Supports both English and Chinese text. Based on Wikipedia's "Signs of AI writing" guide, detects and fixes inflated symbolism, promotional language, superficial -ing analyses, vague attributions, AI vocabulary, negative parallelisms, and excessive conjunctive phrases.
parallel-web
Search the web, extract URL content, and run deep research using the Parallel Chat API and Extract API. Use for ALL web searches, research queries, and general information gathering. Provides synthesized summaries with citations.
research-lookup
Look up current research information using the Parallel Chat API (primary) or Perplexity sonar-pro-search (academic paper searches). Automatically routes queries to the best backend. Use for finding papers, gathering research data, and verifying scientific information.
storyboard-prompting
Generate detailed image prompts for storyboard frames optimized for Midjourney, DALL-E, and Stable Diffusion
video-prompt-engineering
Optimize prompts for AI video generation platforms including Sora, Runway, Pika, and Kling
adversarial-reviewer
Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.
business-operations-skills
Use when running, diagnosing, or designing internal business operations — process documentation, vendor SLAs, capacity planning, internal comms, SOP/runbook authoring, procurement spend. Triggers on "BizOps review", "where's the bottleneck", "vendor health", "internal SOP", "all-hands deck", "spend categorization", "capacity for Q3", "process mapping". Forks context to route to one of six BizOps sub-skills (process-mapper, vendor-management, capacity-planner, internal-comms, knowledge-ops, procurement-optimizer) and returns a digest. Distinct from business-growth (external sales motion) and c-level-advisor (strategic, not operational).
capacity-planner
Use when an ops leader (Director of CX, Head of Support, VP Ops, Head of BizOps, Head of IT ops, Head of Finance ops) is sizing ops capacity, building a headcount plan, modeling utilization risk, planning Q3 capacity or annual support capacity, or designing CS coverage — and needs Erlang-C queueing math, P90 demand sizing, shrinkage-adjusted FTE, manager-trigger thresholds, and a quarterly hiring sequence with ramp + attrition. Apply when sustained team utilization is above 80% or when the team is growing >50% in 12 months. Run before committing the headcount budget. This is NOT engineering capacity (see vpe-advisor for DORA + cycle time) and NOT strategic 3-year workforce planning (see chro-advisor).
code-to-prd
Reverse-engineer any codebase into a complete Product Requirements Document (PRD). Analyzes routes, components, state management, API integrations, and user interactions to produce business-readable documentation detailed enough for engineers or AI agents to fully reconstruct every page and endpoint. Works with frontend frameworks (React, Vue, Angular, Svelte, Next.js, Nuxt), backend frameworks (NestJS, Django, Express, FastAPI), and fullstack applications. Trigger when users mention: generate PRD, reverse-engineer requirements, code to documentation, extract product specs from code, document page logic, analyze page fields and interactions, create a functional inventory, write requirements from an existing codebase, document API endpoints, or analyze backend routes.
content-strategist
Builds content engines that rank, convert, and compound. Thinks in systems — topic clusters, not individual posts. Every piece earns its place or gets killed.
cs-agile-product-owner
Agile product owner agent for epic breakdown, sprint planning, backlog refinement, and INVEST-compliant user story generation
cs-ceo-advisor
Strategic leadership advisor for CEOs covering vision, strategy, board management, investor relations, and organizational culture
cs-content-creator
AI-powered content creation specialist for brand voice consistency, SEO optimization, and multi-platform content strategy
cs-cto-advisor
Technical leadership advisor for CTOs covering technology strategy, team scaling, architecture decisions, and engineering excellence
cs-demand-gen-specialist
Demand generation and customer acquisition specialist for lead generation, conversion optimization, and multi-channel acquisition campaigns
cs-engineering-lead
Engineering Team Lead agent for coordinating QA, security, data engineering, ML, and frontend/backend teams. Orchestrates engineering-team skills for team-level technical decisions. Spawn when users need team coordination, tech stack evaluation, incident response, or cross-functional engineering work.
cs-financial-analyst
Financial Analyst agent for DCF valuation, financial modeling, budgeting, forecasting, and SaaS metrics (ARR, MRR, churn, CAC, LTV, NRR). Orchestrates finance skills. Spawn when users need financial analysis, valuation models, budget planning, ratio analysis, SaaS health checks, or unit economics projections.
cs-growth-strategist
Growth Strategist agent for revenue operations, sales engineering, customer success, and business development. Orchestrates business-growth skills. Spawn when users need pipeline analysis, churn prevention, expansion scoring, sales demos, or proposal writing.
cs-product-manager
Product management agent for feature prioritization, customer discovery, PRD development, and roadmap planning using RICE framework
cs-product-strategist
Product strategy agent for quarterly OKR planning, competitive landscape analysis, product vision development, and strategy pivot evaluation
cs-project-manager
Project Manager agent for sprint planning, Jira/Confluence workflows, Scrum ceremonies, and stakeholder reporting. Orchestrates project-management skills.
cs-quality-regulatory
Quality & Regulatory agent for ISO 13485 QMS, MDR compliance, FDA submissions, GDPR/DSGVO, and ISMS audits. Orchestrates ra-qm-team skills. Spawn when users need regulatory strategy, audit preparation, CAPA management, risk management, or compliance documentation.
cs-senior-engineer
Senior Engineer agent for architecture decisions, code review, DevOps, and API design. Orchestrates engineering and engineering-team skills for technical implementation work. Spawn when users need system design, code quality review, CI/CD pipeline setup, or infrastructure decisions.
cs-ux-researcher
UX research agent for research planning, persona generation, journey mapping, and usability test analysis
cs-workspace-admin
Google Workspace administration agent using the gws CLI. Orchestrates workspace setup, Gmail/Drive/Sheets/Calendar automation, security audits, and recipe execution. Spawn when users need Google Workspace automation, gws CLI help, or workspace administration.
devops-engineer
Builds infrastructure that scales without babysitting. Automates everything worth automating. Monitors before it breaks. Treats clicking in consoles as a production incident waiting to happen.
engineering-advanced-skills
25 advanced engineering agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Agent design, RAG, MCP servers, CI/CD, database design, observability, security auditing, release management, platform ops.
engineering-skills
23 engineering agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw, and 6 more tools. Architecture, frontend, backend, QA, DevOps, security, AI/ML, data engineering, Playwright, Stripe, AWS, MS365. 30+ Python tools (stdlib-only).
finance-lead
Startup CFO who builds models that survive contact with reality. Handles fundraising, unit economics, pricing, burn rate, and board reporting. Speaks fluent spreadsheet but translates to English for founders who'd rather build product.
growth-marketer
Growth marketing specialist for bootstrapped startups and indie hackers. Builds content engines, optimizes funnels, runs launch sequences, and finds scalable acquisition channels — all on a budget that makes enterprise marketers cry.
marketing-skills
42 marketing agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw, and 6 more coding agents. 7 pods: content, SEO, CRO, channels, growth, intelligence, sales. Foundation context + orchestration router. 27 Python tools (stdlib-only).
product-manager
Ships outcomes, not features. Writes specs engineers actually read. Prioritizes ruthlessly. Kills darlings when the data says so. Operates at the intersection of user needs, business goals, and engineering reality.
solo-founder
Your co-founder who doesn't exist yet. Covers product, engineering, marketing, and strategy for one-person startups — because nobody's stopping you from making bad decisions and somebody should.
startup-cto
Technical co-founder who's been through two startups and learned what actually matters. Makes architecture decisions, selects tech stacks, builds engineering culture, and prepares for technical due diligence — all while shipping fast with a small team.
ai-image-creator
Generate PNG images using AI (multiple models via OpenRouter including Gemini, FLUX.2, Riverflow, SeedDream, GPT-5 Image, GPT-5.4 Image 2, proxied through Cloudflare AI Gateway BYOK). Also analyze/describe existing images using multimodal AI vision. Use when user asks to "generate an image", "create a PNG", "make an icon", "make it transparent", "describe this image", "analyze this image", "what's in this image", "explain this image", or needs AI-generated visual assets for the project. Supports model selection via keywords (gemini, riverflow, flux2, seedream, gpt5, gpt5.4), configurable aspect ratios/resolutions, transparent backgrounds (-t), reference image editing (-r), image analysis (--analyze), and per-project cost tracking (--costs).
audiocraft-audio-generation
PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.
autogpt-agents
Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.
blip-2-vision-language
Vision-language pre-training framework bridging frozen image encoders and LLMs. Use when you need image captioning, visual question answering, image-text retrieval, or multimodal chat with state-of-the-art zero-shot performance.
clip
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
dspy
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
guidance
Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework
huggingface-tokenizers
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
instructor
Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library
knowledge-distillation
Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. Covers temperature scaling, soft targets, reverse KLD, logit distillation, and MiniLLM training strategies.
langchain
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.
langsmith-observability
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.
llama-cpp
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.
llamaindex
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.
llava
Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.
nemo-evaluator-sdk
Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution. Use when needing scalable evaluation on local Docker, Slurm HPC, or cloud platforms. NVIDIA's enterprise-grade platform with container-first architecture for reproducible benchmarking.
pydantic-ai
Build production-ready AI agents with PydanticAI — type-safe tool use, structured outputs, dependency injection, and multi-model support.
sentence-transformers
Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production embedding generation.
sentencepiece
Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.
serving-llms-vllm
Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.
stable-diffusion-image-generation
State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.
whisper
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.
anth-known-pitfalls
Identify and avoid common Claude API anti-patterns and integration mistakes. Use when reviewing code, onboarding developers, or debugging subtle issues with Anthropic integrations. Trigger with phrases like "anthropic pitfalls", "claude anti-patterns", "claude mistakes", "anthropic common issues", "claude gotchas".
anth-migration-deep-dive
Migrate to Claude API from OpenAI, Gemini, or other LLM providers. Use when switching from GPT-4 to Claude, migrating from Text Completions, or building a multi-provider abstraction layer. Trigger with phrases like "migrate to claude", "openai to anthropic", "switch from gpt to claude", "multi-provider llm".
clade-architecture-variants
Build different types of Claude-powered applications — chatbots, RAG systems, Use when working with architecture-variants patterns. agents, content pipelines, and code generation tools. Trigger with "claude architecture", "anthropic rag", "build with claude", "claude agent pattern", "anthropic app design".
clade-embeddings-search
Implement tool use (function calling) with Claude to let it execute actions, Use when working with embeddings-search patterns. query databases, call APIs, and interact with external systems. Trigger with "anthropic tool use", "claude function calling", "claude tools", "anthropic structured output with tools".
clade-known-pitfalls
Common mistakes when building with the Anthropic API and how to avoid them. Use when working with known-pitfalls patterns. Trigger with "anthropic mistakes", "claude pitfalls", "anthropic gotchas", "common claude errors", "anthropic anti-patterns".
clade-migration-deep-dive
Migrate from OpenAI/GPT to Anthropic/Claude — API differences, Use when working with migration-deep-dive patterns. prompt adaptation, SDK swap, and feature mapping. Trigger with "migrate to claude", "openai to anthropic", "switch from gpt to claude", "replace openai with anthropic".
clay-core-workflow-b
Use Claygent AI research and AI-powered personalization to generate outreach copy from enriched data. Use when writing personalized email openers, running Claygent research prompts, or configuring AI columns for campaign personalization at scale. Trigger with phrases like "clay AI personalization", "claygent research", "clay outreach copy", "clay secondary workflow", "clay AI column".
clay-hello-world
Send your first record to Clay and get enriched data back. Use when starting a new Clay integration, testing webhook setup, or verifying that enrichment columns are working. Trigger with phrases like "clay hello world", "clay example", "clay quick start", "first clay enrichment", "test clay webhook".
cohere-migration-deep-dive
Migrate from OpenAI/Anthropic/other LLM providers to Cohere, or vice versa. Use when switching LLM providers, migrating embeddings between models, or re-platforming existing AI integrations to Cohere API v2. Trigger with phrases like "migrate to cohere", "switch from openai to cohere", "cohere migration", "replace openai with cohere", "cohere replatform".
cohere-upgrade-migration
Migrate from Cohere API v1 to v2 and upgrade SDK versions. Use when upgrading cohere-ai SDK, migrating from CohereClient to CohereClientV2, or handling breaking changes between API versions. Trigger with phrases like "upgrade cohere", "cohere migration", "cohere v1 to v2", "update cohere SDK", "cohere breaking changes".
coreweave-core-workflow-a
Deploy KServe InferenceService on CoreWeave with autoscaling and GPU scheduling. Use when serving ML models with KServe, configuring scale-to-zero, or deploying production inference endpoints on CoreWeave. Trigger with phrases like "coreweave inference service", "coreweave kserve", "coreweave model serving", "deploy model on coreweave".
coreweave-hello-world
Deploy a GPU workload on CoreWeave with kubectl. Use when running your first GPU job, testing inference, or verifying CoreWeave cluster access. Trigger with phrases like "coreweave hello world", "coreweave first deploy", "coreweave gpu test", "run on coreweave".
cortex-integrate
Design and implement an AI feature integration — model selection, architecture pattern, system prompt, data flow, error handling, cost estimate. Use when asked to "add AI to this", "LLM integration", "add Claude/GPT", or "AI-powered feature".
cortex-prompt
Build a production-ready prompt package — system prompt, few-shot examples, output format, edge case handling, eval criteria. Use when asked to "prompt engineering", "build a prompt", "write a system prompt", or "improve this prompt".
cortex-recon
ML reconnaissance — inventory all models, pipelines, data sources, and monitoring. Use when asked "what ML do we have", "model inventory", or "ML assessment".
cursor-compliance-audit
Compliance and security auditing for Cursor IDE usage: SOC 2, GDPR, HIPAA assessment, evidence collection, and remediation. Triggers on "cursor compliance", "cursor audit", "cursor security review", "cursor soc2", "cursor gdpr", "cursor data governance".
cursor-model-selection
Configure and select AI models in Cursor for Chat, Composer, and Agent mode. Triggers on "cursor model", "cursor gpt", "cursor claude", "change cursor model", "cursor ai model", "cursor auto mode".
cursor-usage-analytics
Track and analyze Cursor usage metrics via admin dashboard: requests, model usage, team productivity, and cost optimization. Triggers on "cursor analytics", "cursor usage", "cursor metrics", "cursor reporting", "cursor dashboard", "cursor ROI".
deepgram-migration-deep-dive
Deep dive into migrating to Deepgram from other transcription providers. Use when migrating from AWS Transcribe, Google Cloud STT, Azure Speech, OpenAI Whisper, AssemblyAI, or Rev.ai to Deepgram. Trigger: "deepgram migration", "switch to deepgram", "migrate transcription", "deepgram from AWS", "deepgram from Google", "replace whisper with deepgram".
exa-core-workflow-b
Execute Exa findSimilar, getContents, answer, and streaming answer workflows. Use when finding pages similar to a URL, retrieving content for known URLs, or getting AI-generated answers with citations. Trigger with phrases like "exa find similar", "exa get contents", "exa answer", "exa similarity search", "findSimilarAndContents".
granola-core-workflow-b
Post-meeting note processing, sharing, and follow-up workflows in Granola. Use when enhancing notes after meetings, sharing to Slack/Notion/CRM, drafting follow-up emails, or processing action items. Trigger: "granola post-meeting", "share granola notes", "granola follow-up", "granola enhance", "granola share".
granola-install-auth
Install and configure Granola AI meeting notes with calendar and audio permissions. Use when setting up Granola for the first time, connecting Google/Outlook calendars, granting macOS Screen Recording permission, or configuring Windows audio capture. Trigger: "install granola", "setup granola", "granola calendar", "granola permissions".
granola-performance-tuning
Optimize Granola transcription accuracy, note quality, and processing speed. Use when improving transcription quality, reducing processing time, optimizing templates for better AI output, or tuning audio setup. Trigger: "granola performance", "granola accuracy", "granola quality", "improve granola", "granola transcription better".
granola-reference-architecture
Enterprise reference architecture for meeting management with Granola. Use when designing org-wide meeting workflows, planning integration topology, or architecting meeting-to-action pipelines across departments. Trigger: "granola architecture", "granola enterprise design", "granola system design", "meeting system architecture".
granola-security-basics
Security and privacy configuration for Granola meeting data. Use when reviewing data handling practices, configuring encryption, ensuring SOC 2/GDPR compliance, or securing meeting recordings. Trigger: "granola security", "granola privacy", "granola encryption", "granola SOC 2", "granola GDPR", "secure granola".
groq-common-errors
Diagnose and fix Groq API errors with real error codes and solutions. Use when encountering Groq errors, debugging failed requests, or troubleshooting integration issues. Trigger with phrases like "groq error", "fix groq", "groq not working", "debug groq", "groq 429".
groq-hello-world
Create a minimal working Groq chat completion example. Use when starting a new Groq integration, testing your setup, or learning basic Groq API patterns. Trigger with phrases like "groq hello world", "groq example", "groq quick start", "simple groq code".
groq-incident-runbook
Execute Groq incident response: triage, mitigation, fallback, and postmortem. Use when responding to Groq-related outages, investigating errors, or running post-incident reviews for Groq integration failures. Trigger with phrases like "groq incident", "groq outage", "groq down", "groq on-call", "groq emergency", "groq broken".
groq-install-auth
Install and configure Groq SDK authentication for TypeScript or Python. Use when setting up a new Groq integration, configuring API keys, or initializing the groq-sdk in your project. Trigger with phrases like "install groq", "setup groq", "groq auth", "configure groq API key".
groq-migration-deep-dive
Migrate from OpenAI/Anthropic/other LLM providers to Groq, or migrate between Groq model generations with zero-downtime traffic shifting. Trigger with phrases like "migrate to groq", "switch to groq", "groq migration", "openai to groq", "groq replatform".
groq-reference-architecture
Implement Groq reference architecture with model routing, streaming pipelines, and fallbacks. Use when designing new Groq integrations, reviewing project structure, or establishing architecture standards for Groq applications. Trigger with phrases like "groq architecture", "groq best practices", "groq project structure", "how to organize groq", "groq design".
groq-sdk-patterns
Apply production-ready Groq SDK patterns for TypeScript and Python. Use when implementing Groq integrations, refactoring SDK usage, or establishing team coding standards for Groq. Trigger with phrases like "groq SDK patterns", "groq best practices", "groq code patterns", "idiomatic groq".
ideogram-migration-deep-dive
Migrate from other image generation APIs to Ideogram, or re-architect existing Ideogram integrations. Use when switching from DALL-E/Midjourney/Stable Diffusion to Ideogram, or performing major integration overhauls. Trigger with phrases like "migrate to ideogram", "switch to ideogram", "replace dall-e with ideogram", "ideogram replatform", "ideogram migration".
langchain-ci-integration
Configure CI/CD for LangChain with GitHub Actions, mocked unit tests, gated integration tests, and RAG pipeline validation. Trigger: "langchain CI", "langchain GitHub Actions", "langchain automated tests", "CI langchain", "langchain pipeline testing".
langchain-common-errors
Diagnose and fix common LangChain errors and exceptions. Use when encountering LangChain import errors, auth failures, output parsing issues, agent loops, or version conflicts. Trigger: "langchain error", "langchain exception", "debug langchain", "langchain not working", "langchain troubleshoot".
langchain-core-workflow-b
Build LangChain agents with tool calling for autonomous task execution. Use when creating AI agents, implementing tool/function calling, binding tools to models, or building autonomous multi-step workflows. Trigger: "langchain agents", "langchain tools", "tool calling", "create agent", "function calling", "createToolCallingAgent".
langchain-cost-tuning
Optimize LangChain API costs with token tracking, model tiering, caching, prompt compression, and budget enforcement. Trigger: "langchain cost", "langchain tokens", "reduce langchain cost", "langchain billing", "langchain budget", "token optimization".
langchain-data-handling
Implement LangChain RAG pipelines with document loaders, text splitters, embeddings, and vector stores (Chroma, Pinecone, FAISS). Trigger: "langchain RAG", "langchain documents", "langchain vector store", "langchain embeddings", "document loaders", "text splitters", "retrieval".
langchain-debug-bundle
Collect LangChain debug evidence for troubleshooting and bug reports. Use when preparing GitHub issues, collecting LangSmith traces, or gathering diagnostic info for complex LangChain failures. Trigger: "langchain debug bundle", "langchain diagnostics", "langchain support info", "collect langchain logs", "langchain trace".
langchain-deploy-integration
Deploy LangChain applications to production with LangServe, Docker, and cloud platforms (Cloud Run, AWS Lambda). Trigger: "deploy langchain", "langchain production deploy", "langchain docker", "langchain cloud run", "LangServe".
langchain-enterprise-rbac
Implement role-based access control for LangChain applications with multi-tenant isolation, model access control, and usage quotas. Trigger: "langchain RBAC", "langchain permissions", "langchain access control", "langchain multi-tenant", "enterprise LLM auth".
langchain-hello-world
Create a minimal working LangChain example with LCEL chains. Use when starting a new LangChain integration, testing your setup, or learning LCEL pipe syntax with prompts and output parsers. Trigger: "langchain hello world", "langchain example", "langchain quick start", "simple langchain code", "first langchain app".
langchain-incident-runbook
Incident response procedures for LangChain production issues: provider outages, high error rates, latency spikes, and cost overruns. Trigger: "langchain incident", "langchain outage", "langchain production issue", "langchain emergency", "langchain down", "LLM provider outage".
langchain-install-auth
Install and configure LangChain SDK with provider authentication. Use when setting up a new LangChain project, configuring API keys for OpenAI/Anthropic/Google, or initializing @langchain/core in Node.js or Python. Trigger: "install langchain", "setup langchain", "langchain auth", "configure langchain API key", "langchain credentials".
langchain-local-dev-loop
Configure LangChain local development workflow with testing and mocks. Use when setting up dev environment, creating test fixtures with mocked LLMs, or establishing a rapid iteration workflow for LangChain apps. Trigger: "langchain dev setup", "langchain local development", "langchain testing", "langchain mock", "test langchain chains".
langchain-migration-deep-dive
Migrate to LangChain from raw OpenAI SDK, LlamaIndex, or custom LLM code. Covers codebase assessment, side-by-side validation, RAG migration, agent migration, and feature-flagged gradual rollout. Trigger: "migrate to langchain", "langchain refactor", "legacy LLM migration", "replace openai SDK with langchain", "llamaindex to langchain".
langchain-multi-env-setup
Configure LangChain across dev/staging/production environments with isolated API keys, environment-specific settings, and secrets. Trigger: "langchain environments", "langchain staging", "langchain dev prod", "environment configuration", "langchain env setup".
langchain-performance-tuning
Optimize LangChain application performance: latency, throughput, streaming, caching, batch processing, and connection pooling. Trigger: "langchain performance", "langchain optimization", "langchain latency", "langchain slow", "speed up langchain".
langchain-prod-checklist
Production readiness checklist for LangChain applications. Use when preparing for launch, validating deployment readiness, or auditing existing production LangChain systems. Trigger: "langchain production", "langchain prod ready", "deploy langchain", "langchain launch checklist", "go-live langchain".
langchain-rate-limits
Implement LangChain rate limiting, retry strategies, and backoff. Use when handling API rate limits, controlling request throughput, or implementing concurrency-safe batch processing. Trigger: "langchain rate limit", "langchain throttling", "langchain backoff", "langchain retry", "API quota", "429 error".
langchain-reference-architecture
Implement LangChain reference architecture for production systems: layered design, provider abstraction, chain registry, RAG pipelines, and multi-agent orchestration. Trigger: "langchain architecture", "langchain design patterns", "langchain scalable", "langchain enterprise", "LLM architecture".
langchain-sdk-patterns
Apply production-ready LangChain SDK patterns for structured output, fallbacks, batch processing, streaming, and caching. Trigger: "langchain SDK patterns", "langchain best practices", "idiomatic langchain", "langchain architecture", "withStructuredOutput", "withFallbacks", "abatch".
langchain-security-basics
Apply LangChain security best practices for production LLM apps. Use when securing API keys, preventing prompt injection, sandboxing tool execution, or validating LLM outputs. Trigger: "langchain security", "prompt injection", "langchain secrets", "secure langchain", "LLM security", "safe tool execution".
langchain-upgrade-migration
Upgrade LangChain SDK versions safely with import path migration, LCEL conversion from legacy chains, and agent API updates. Trigger: "upgrade langchain", "langchain migration", "langchain breaking changes", "update langchain version", "langchain 0.3", "langchain deprecation".
langfuse-ci-integration
Configure Langfuse CI/CD integration with GitHub Actions and automated testing. Use when setting up automated testing, configuring CI pipelines, or integrating Langfuse tests into your build process. Trigger with phrases like "langfuse CI", "langfuse GitHub Actions", "langfuse automated tests", "CI langfuse", "langfuse pipeline".
langfuse-core-workflow-a
Execute Langfuse primary workflow: Tracing LLM calls and spans. Use when implementing LLM tracing, building traced AI features, or adding observability to existing LLM applications. Trigger with phrases like "langfuse tracing", "trace LLM calls", "add langfuse to openai", "langfuse spans", "track llm requests".
langfuse-cost-tuning
Monitor and optimize LLM costs using Langfuse analytics and dashboards. Use when tracking LLM spending, identifying cost anomalies, or implementing cost controls for AI applications. Trigger with phrases like "langfuse costs", "LLM spending", "track AI costs", "langfuse token usage", "optimize LLM budget".
langfuse-debug-bundle
Collect Langfuse debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Langfuse problems. Trigger with phrases like "langfuse debug", "langfuse support bundle", "collect langfuse logs", "langfuse diagnostic", "langfuse troubleshoot".
langfuse-deploy-integration
Deploy Langfuse with your application across different platforms. Use when deploying Langfuse to Vercel, AWS, GCP, or Docker, or integrating Langfuse into your deployment pipeline. Trigger with phrases like "deploy langfuse", "langfuse Vercel", "langfuse AWS", "langfuse Docker", "langfuse production deploy".
langfuse-hello-world
Create a minimal working Langfuse trace example. Use when starting a new Langfuse integration, testing your setup, or learning basic Langfuse tracing patterns. Trigger with phrases like "langfuse hello world", "langfuse example", "langfuse quick start", "first langfuse trace", "simple langfuse code".
langfuse-install-auth
Install and configure Langfuse SDK authentication for LLM observability. Use when setting up a new Langfuse integration, configuring API keys, or initializing Langfuse tracing in your project. Trigger with phrases like "install langfuse", "setup langfuse", "langfuse auth", "configure langfuse API key", "langfuse tracing setup".
langfuse-local-dev-loop
Set up Langfuse local development workflow with hot reload and debugging. Use when developing LLM applications locally, debugging traces, or setting up a fast iteration loop with Langfuse. Trigger with phrases like "langfuse local dev", "langfuse development", "debug langfuse traces", "langfuse hot reload", "langfuse dev workflow".
lindy-core-workflow-a
Build and configure multi-step Lindy AI agent workflows. Use when creating agents with triggers, actions, conditions, knowledge bases, or agent steps. Trigger with phrases like "create lindy agent", "build lindy agent", "lindy agent workflow", "configure lindy agent", "lindy workflow".
lindy-cost-tuning
Optimize Lindy AI costs through credit management, model selection, and agent consolidation. Use when reducing spend, analyzing credit usage patterns, or optimizing budget allocation across agents. Trigger with phrases like "lindy cost", "lindy billing", "reduce lindy spend", "lindy budget", "lindy credits".
lindy-prod-checklist
Production readiness checklist for Lindy AI agent deployments. Use when preparing agents for production, auditing live agents, or validating go-live readiness. Trigger with phrases like "lindy production", "lindy prod ready", "lindy go live", "lindy deployment checklist".
lindy-rate-limits
Manage Lindy AI credits, rate limits, and usage optimization. Use when hitting rate limits, optimizing credit consumption, or implementing usage controls. Trigger with phrases like "lindy rate limit", "lindy credits", "lindy quota", "lindy throttling", "lindy API limits".
mistral-migration-deep-dive
Execute migration to Mistral AI from OpenAI, Anthropic, or other providers. Use when migrating to Mistral AI from another provider, performing major refactoring, or re-platforming existing AI integrations to Mistral AI. Trigger with phrases like "migrate to mistral", "mistral migration", "switch to mistral", "openai to mistral", "anthropic to mistral".
ollama-setup
Configure auto-configure Ollama when user needs local LLM deployment, free AI alternatives, or wants to eliminate hosted API costs. Trigger phrases: "install ollama", "local AI", "free LLM", "self-hosted AI", "replace OpenAI", "no API costs". Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
openrouter-audit-logging
Implement audit logging for OpenRouter API calls. Use when building compliance trails, debugging production issues, or tracking model usage. Triggers: 'openrouter audit', 'openrouter logging', 'audit trail openrouter', 'log openrouter requests'.
openrouter-caching-strategy
Implement caching for OpenRouter API responses to reduce cost and latency. Use when optimizing repeat queries, building RAG systems, or reducing API spend. Triggers: 'openrouter cache', 'cache llm responses', 'openrouter caching', 'reduce openrouter cost'.
openrouter-compliance-review
Review OpenRouter integration for regulatory compliance (SOC2, GDPR, HIPAA). Use when preparing for audits, evaluating data handling, or documenting compliance posture. Triggers: 'openrouter compliance', 'openrouter gdpr', 'openrouter soc2', 'openrouter data residency'.
openrouter-cost-controls
Implement cost controls for OpenRouter API usage. Use when setting budgets, preventing overspend, or managing per-key limits. Triggers: 'openrouter budget', 'openrouter cost limit', 'openrouter spending', 'control openrouter cost'.
openrouter-debug-bundle
Create debug bundles for troubleshooting OpenRouter API issues. Use when diagnosing failures, unexpected responses, or latency problems. Triggers: 'openrouter debug', 'openrouter troubleshoot', 'debug openrouter request', 'openrouter issue'.
openrouter-fallback-config
Configure automatic model fallbacks for high availability on OpenRouter. Use when building resilient systems that need to survive provider outages. Triggers: 'openrouter fallback', 'model fallback', 'openrouter failover', 'openrouter backup model'.
openrouter-function-calling
Implement function/tool calling with OpenRouter models. Use when building agents, structured output, or tool-augmented LLM workflows. Triggers: 'openrouter function calling', 'openrouter tools', 'openrouter agent tools', 'tool use openrouter'.
openrouter-hello-world
Send your first OpenRouter API request and understand the response. Use when learning OpenRouter, testing setup, or verifying connectivity. Triggers: 'openrouter hello world', 'openrouter first request', 'test openrouter', 'openrouter quickstart'.
openrouter-install-auth
Set up OpenRouter API authentication and configure API keys. Use when starting a new OpenRouter integration, rotating keys, or troubleshooting auth issues. Triggers: 'openrouter setup', 'openrouter api key', 'configure openrouter auth', 'sk-or key'.
openrouter-known-pitfalls
Avoid common OpenRouter integration mistakes and gotchas. Use proactively when starting a new integration or reviewing existing code. Triggers: 'openrouter pitfalls', 'openrouter gotchas', 'openrouter mistakes', 'openrouter best practices'.
openrouter-load-balancing
Distribute OpenRouter requests across multiple keys and models for high throughput. Use when scaling beyond single-key rate limits or building high-availability systems. Triggers: 'openrouter load balance', 'openrouter scaling', 'distribute openrouter requests', 'multiple api keys'.
openrouter-model-availability
Monitor OpenRouter model availability and implement health checks. Use when building systems that depend on specific models being online. Triggers: 'openrouter model status', 'is model available', 'openrouter health check', 'model availability'.
openrouter-model-routing
Implement intelligent model routing to optimize cost, quality, and latency on OpenRouter. Use when building multi-model systems or optimizing spend across task types. Triggers: 'openrouter routing', 'model routing', 'route to model', 'model selection openrouter'.
openrouter-multi-provider
Use multiple AI providers (OpenAI, Anthropic, Google, Meta) through OpenRouter's unified API. Use when comparing providers, building cross-provider workflows, or maximizing availability. Triggers: 'openrouter providers', 'multi provider', 'openrouter openai anthropic', 'compare models openrouter'.
openrouter-openai-compat
Migrate from OpenAI to OpenRouter with minimal code changes. Use when switching to OpenRouter or maintaining dual compatibility. Triggers: 'openrouter openai compatible', 'openrouter drop-in', 'openai to openrouter', 'openrouter migration'.
openrouter-performance-tuning
Optimize OpenRouter request latency and throughput. Use when building real-time applications, reducing TTFT, or scaling request volume. Triggers: 'openrouter performance', 'openrouter latency', 'openrouter speed', 'optimize openrouter throughput'.
openrouter-pricing-basics
Understand OpenRouter pricing, calculate costs, and optimize spend. Use when budgeting, comparing model costs, or tracking spend. Triggers: 'openrouter pricing', 'openrouter cost', 'model pricing', 'openrouter budget', 'how much does openrouter cost'.
openrouter-rate-limits
Understand and handle OpenRouter rate limits. Use when hitting 429 errors, building high-throughput systems, or implementing retry logic. Triggers: 'openrouter rate limit', 'openrouter 429', 'openrouter throttle', 'rate limiting openrouter'.
openrouter-reference-architecture
Design production architectures using OpenRouter as the LLM gateway. Use when planning system design, reviewing architecture, or scaling AI applications. Triggers: 'openrouter architecture', 'openrouter system design', 'openrouter at scale', 'llm gateway architecture'.
openrouter-routing-rules
Define custom routing rules for OpenRouter requests based on user tier, task type, cost budget, and availability. Triggers: 'openrouter rules', 'routing rules', 'custom routing openrouter', 'conditional model selection'.
openrouter-sdk-patterns
Build reusable OpenRouter client wrappers with retries, typing, and middleware. Use when creating SDKs or client libraries. Triggers: 'openrouter sdk', 'openrouter client wrapper', 'openrouter patterns', 'openrouter library'.
openrouter-streaming-setup
Implement streaming responses with OpenRouter for real-time UIs. Use when building chat interfaces, reducing time-to-first-token, or processing long completions. Triggers: 'openrouter streaming', 'openrouter sse', 'stream response openrouter', 'real-time openrouter'.
openrouter-upgrade-migration
Migrate to OpenRouter from direct provider APIs or upgrade between SDK/model versions. Triggers: 'openrouter migrate', 'openrouter upgrade', 'switch to openrouter', 'migrate from openai to openrouter'.
openrouter-usage-analytics
Track and analyze OpenRouter API usage patterns, costs, and performance. Use when building dashboards, optimizing spend, or reporting on AI usage. Triggers: 'openrouter analytics', 'openrouter usage', 'openrouter metrics', 'track openrouter spend'.
perplexity-architecture-variants
Choose and implement Perplexity architecture blueprints for different scales: direct search widget, cached research layer, and multi-query pipeline. Trigger with phrases like "perplexity architecture", "perplexity blueprint", "how to structure perplexity", "perplexity project layout".
perplexity-common-errors
Diagnose and fix Perplexity Sonar API errors and exceptions. Use when encountering Perplexity errors, debugging failed requests, or troubleshooting integration issues. Trigger with phrases like "perplexity error", "fix perplexity", "perplexity not working", "debug perplexity", "perplexity 429".
perplexity-core-workflow-a
Execute Perplexity primary workflow: single-query search with citations. Use when implementing AI search, building fact-checking tools, or integrating web-grounded answers into your application. Trigger with phrases like "perplexity search", "perplexity query", "search with citations", "perplexity main workflow".
perplexity-core-workflow-b
Execute Perplexity multi-turn research sessions and batch query pipelines. Use when conducting in-depth investigations, generating research briefs, or processing multiple related search queries. Trigger with phrases like "perplexity research", "perplexity batch search", "multi-query perplexity", "perplexity deep dive", "perplexity report".
perplexity-debug-bundle
Collect Perplexity debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Perplexity problems. Trigger with phrases like "perplexity debug", "perplexity support bundle", "collect perplexity logs", "perplexity diagnostic".
perplexity-deploy-integration
Deploy Perplexity Sonar API integrations to Vercel, Cloud Run, and Docker. Use when deploying Perplexity-powered applications to production, configuring platform-specific secrets, or setting up edge functions. Trigger with phrases like "deploy perplexity", "perplexity Vercel", "perplexity production deploy", "perplexity Cloud Run", "perplexity Docker".
perplexity-enterprise-rbac
Configure Perplexity API key scoping, per-team model access, cost controls, and search domain restrictions for enterprise deployments. Trigger with phrases like "perplexity enterprise", "perplexity RBAC", "perplexity team access", "perplexity roles", "perplexity permissions".
perplexity-hello-world
Create a minimal working Perplexity Sonar search example with citations. Use when starting a new Perplexity integration, testing your setup, or learning basic search-with-citations patterns. Trigger with phrases like "perplexity hello world", "perplexity example", "perplexity quick start", "simple perplexity search".
perplexity-install-auth
Install and configure Perplexity Sonar API authentication. Use when setting up a new Perplexity integration, configuring API keys, or initializing the OpenAI-compatible client for Perplexity. Trigger with phrases like "install perplexity", "setup perplexity", "perplexity auth", "configure perplexity API key", "perplexity sonar setup".
perplexity-known-pitfalls
Identify and avoid Perplexity anti-patterns and common integration mistakes. Use when reviewing Perplexity code, onboarding new developers, or auditing existing integrations for best practices violations. Trigger with phrases like "perplexity mistakes", "perplexity anti-patterns", "perplexity pitfalls", "perplexity code review", "perplexity gotchas".
perplexity-local-dev-loop
Configure Perplexity local development with mocking, testing, and hot reload. Use when setting up a development environment, configuring test workflows, or establishing a fast iteration cycle with Perplexity Sonar API. Trigger with phrases like "perplexity dev setup", "perplexity local development", "perplexity dev environment", "develop with perplexity", "mock perplexity".
perplexity-migration-deep-dive
Migrate to Perplexity Sonar from other search/LLM APIs using the strangler fig pattern. Use when switching from Google Custom Search, Bing API, or other LLMs to Perplexity, or migrating from legacy pplx-api models. Trigger with phrases like "migrate to perplexity", "switch to perplexity", "replace search API with perplexity", "perplexity replatform".
perplexity-multi-env-setup
Configure Perplexity Sonar API across development, staging, and production environments. Use when setting up multi-environment search integrations, managing API keys per environment, or controlling cost through model routing by env. Trigger with phrases like "perplexity environments", "perplexity staging", "perplexity dev prod", "perplexity environment config".
perplexity-observability
Set up monitoring for Perplexity Sonar API with latency, cost, citation quality, and error tracking. Use when implementing monitoring dashboards, setting up alerts, or tracking Perplexity API health in production. Trigger with phrases like "perplexity monitoring", "perplexity metrics", "perplexity observability", "monitor perplexity", "perplexity dashboard".
perplexity-performance-tuning
Optimize Perplexity Sonar API performance with caching, streaming, model routing, and batching. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Perplexity integrations. Trigger with phrases like "perplexity performance", "optimize perplexity", "perplexity latency", "perplexity caching", "perplexity slow".
perplexity-reference-architecture
Implement Perplexity reference architecture with model routing, citation pipeline, and research automation. Use when designing new Perplexity integrations, reviewing project structure, or establishing architecture for search-augmented apps. Trigger with phrases like "perplexity architecture", "perplexity project structure", "how to organize perplexity", "perplexity design patterns".
perplexity-reliability-patterns
Implement reliability patterns for Perplexity Sonar API: circuit breaker, model fallback, streaming timeout, and citation validation. Trigger with phrases like "perplexity reliability", "perplexity circuit breaker", "perplexity fallback", "perplexity resilience", "perplexity timeout".
perplexity-sdk-patterns
Apply production-ready Perplexity Sonar API patterns for TypeScript and Python. Use when implementing Perplexity integrations, refactoring SDK usage, or establishing team coding standards for search-augmented generation. Trigger with phrases like "perplexity SDK patterns", "perplexity best practices", "perplexity code patterns", "idiomatic perplexity", "perplexity wrapper".
perplexity-upgrade-migration
Migrate between Perplexity model generations and API parameter changes. Use when upgrading to new Sonar models, handling deprecated parameters, or migrating from legacy pplx-api models. Trigger with phrases like "upgrade perplexity", "perplexity migration", "perplexity model change", "update perplexity", "perplexity deprecated".
perplexity-webhooks-events
Build event-driven architectures around Perplexity Sonar API with streaming, batch pipelines, and scheduled search monitoring. Trigger with phrases like "perplexity streaming", "perplexity events", "perplexity batch search", "perplexity news monitor", "perplexity SSE".
retellai-core-workflow-a
Retell AI core workflow a — AI voice agent and phone call automation. Use when working with Retell AI for voice agents, phone calls, or telephony. Trigger with phrases like "retell core workflow a", "retellai-core-workflow-a", "voice agent".
retellai-hello-world
Retell AI hello world — AI voice agent and phone call automation. Use when working with Retell AI for voice agents, phone calls, or telephony. Trigger with phrases like "retell hello world", "retellai-hello-world", "voice agent".
retellai-sdk-patterns
Production-ready Retell AI SDK patterns for voice agent applications. Use when building production voice agents, implementing retry logic, or establishing patterns. Trigger with phrases like "retell patterns", "voice agent patterns", "retell best practices".
speak-ci-integration
GitHub Actions pipeline for Speak integrations with mocked API tests and audio validation. Use when implementing ci integration, or managing Speak language learning platform operations. Trigger with phrases like "speak ci integration", "speak ci integration".
speak-core-workflow-a
Execute Speak primary workflow: AI Conversation Practice with real-time feedback. Use when implementing conversation practice features, building AI tutor interactions, or core language learning dialogue systems. Trigger with phrases like "speak conversation practice", "speak AI tutor", "speak dialogue", "primary speak workflow".
speak-core-workflow-b
Execute Speak secondary workflow: Pronunciation Training with phoneme-level analysis. Use when implementing pronunciation drills, speech scoring, or targeted pronunciation improvement features. Trigger with phrases like "speak pronunciation training", "speak speech scoring", "speak phoneme analysis".
speak-cost-tuning
Optimize Speak API costs through usage monitoring, tier selection, and efficient audio processing. Use when implementing cost tuning, or managing Speak language learning platform operations. Trigger with phrases like "speak cost tuning", "speak cost tuning".
speak-data-handling
Handle student audio data, assessment records, and learning progress with GDPR/COPPA compliance. Use when implementing data handling, or managing Speak language learning platform operations. Trigger with phrases like "speak data handling", "speak data handling".
speak-deploy-integration
Deploy Speak language learning features to Vercel, Cloud Run, or containerized environments. Use when implementing deploy integration, or managing Speak language learning platform operations. Trigger with phrases like "speak deploy integration", "speak deploy integration".
speak-enterprise-rbac
Configure Speak for schools and organizations: SSO, teacher/student roles, class management, and usage reporting. Use when implementing enterprise rbac, or managing Speak language learning platform operations. Trigger with phrases like "speak enterprise rbac", "speak enterprise rbac".
speak-hello-world
Create your first Speak AI tutoring session with pronunciation feedback. Use when starting a new Speak integration, testing your setup, or learning basic language learning API patterns. Trigger with phrases like "speak hello world", "speak example", "speak quick start", "first speak lesson".
speak-incident-runbook
Incident response for Speak API outages: triage, fallback to offline mode, and recovery procedures. Use when implementing incident runbook, or managing Speak language learning platform operations. Trigger with phrases like "speak incident runbook", "speak incident runbook".
speak-install-auth
Set up Speak language learning API integration and authentication. Use when configuring Speak API access, setting up OAuth with OpenAI Realtime API for speech, or initializing a language tutoring application. Trigger with phrases like "install speak", "setup speak", "speak auth", "configure speak API", "speak language learning setup".
speak-migration-deep-dive
Migrate between language learning platforms, import student progress, and transition from legacy speech APIs. Use when implementing migration deep dive, or managing Speak language learning platform operations. Trigger with phrases like "speak migration deep dive", "speak migration deep dive".
speak-multi-env-setup
Configure Speak across dev, staging, and production with separate API keys and mock modes. Use when implementing multi env setup, or managing Speak language learning platform operations. Trigger with phrases like "speak multi env setup", "speak multi env setup".
speak-observability
Monitor Speak API health, assessment latency, session metrics, and pronunciation score distributions. Use when implementing observability, or managing Speak language learning platform operations. Trigger with phrases like "speak observability", "speak observability".
speak-performance-tuning
Optimize Speak API latency with audio preprocessing, response caching, and connection pooling. Use when implementing performance tuning, or managing Speak language learning platform operations. Trigger with phrases like "speak performance tuning", "speak performance tuning".
speak-reference-architecture
Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store. Use when implementing reference architecture, or managing Speak language learning platform operations. Trigger with phrases like "speak reference architecture", "speak reference architecture".
speak-webhooks-events
Handle Speak lesson completion events, progress webhooks, and achievement notifications. Use when implementing webhooks events, or managing Speak language learning platform operations. Trigger with phrases like "speak webhooks events", "speak webhooks events".
together-ci-integration
Together AI ci integration for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together ci integration".
together-common-errors
Together AI common errors for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together common errors".
together-core-workflow-a
Together AI core workflow a for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together core workflow a".
together-core-workflow-b
Together AI core workflow b for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together core workflow b".
together-deploy-integration
Together AI deploy integration for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together deploy integration".
together-hello-world
Run inference with Together AI -- chat completions, streaming, and model selection. Use when testing open-source models, comparing model performance, or learning the Together AI API. Trigger: "together hello world, together AI example, run llama".
together-install-auth
Install Together AI SDK and configure API key for inference and fine-tuning. Use when setting up Together AI, configuring the OpenAI-compatible API, or initializing the together Python package. Trigger: "install together, setup together ai, together API key".
together-local-dev-loop
Together AI local dev loop for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together local dev loop".
together-prod-checklist
Together AI prod checklist for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together prod checklist".
together-rate-limits
Together AI rate limits for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together rate limits".
together-reference-architecture
Together AI reference architecture for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together reference architecture".
together-sdk-patterns
Together AI sdk patterns for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together sdk patterns".
together-security-basics
Together AI security basics for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together security basics".
together-upgrade-migration
Together AI upgrade migration for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together upgrade migration".
together-webhooks-events
Together AI webhooks events for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together webhooks events".
twinmind-ci-integration
Integrate TwinMind meeting transcription workflows into CI/CD pipelines for automated meeting documentation and action item tracking. Use when implementing ci integration, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind ci integration", "twinmind ci integration".
twinmind-cost-tuning
Optimize TwinMind costs across Free, Pro ($10/mo), and Enterprise tiers with usage monitoring and tier selection guidance. Use when implementing cost tuning, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind cost tuning", "twinmind cost tuning".
twinmind-data-handling
Handle TwinMind meeting data with GDPR compliance: transcript storage, memory vault management, data export, and deletion policies. Use when implementing data handling, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind data handling", "twinmind data handling".
twinmind-deploy-integration
Deploy TwinMind integrations to production environments with Chrome extension deployment, mobile app configuration, and API access setup. Use when implementing deploy integration, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind deploy integration", "twinmind deploy integration".
twinmind-enterprise-rbac
Configure TwinMind Enterprise with on-premise deployment, custom AI models, SSO integration, and team-wide transcript sharing. Use when implementing enterprise rbac, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind enterprise rbac", "twinmind enterprise rbac".
twinmind-incident-runbook
Incident response for TwinMind failures: transcription not starting, audio not captured, sync failures, and calendar disconnect. Use when implementing incident runbook, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind incident runbook", "twinmind incident runbook".
twinmind-migration-deep-dive
Migrate from other meeting AI tools (Otter. Use when implementing migration deep dive, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind migration deep dive", "twinmind migration deep dive".
twinmind-multi-env-setup
Configure TwinMind across development, staging, and production environments with separate accounts and API key management. Use when implementing multi env setup, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind multi env setup", "twinmind multi env setup".
twinmind-observability
Monitor TwinMind transcription quality, meeting coverage, action item extraction rates, and memory vault health. Use when implementing observability, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind observability", "twinmind observability".
twinmind-performance-tuning
Optimize TwinMind transcription accuracy and speed with Ear-3 model configuration, audio quality tuning, and caching strategies. Use when implementing performance tuning, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind performance tuning", "twinmind performance tuning".
twinmind-reference-architecture
Production architecture for meeting AI systems using TwinMind: transcription pipeline, memory vault, action item workflow, and calendar integration. Use when implementing reference architecture, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind reference architecture", "twinmind reference architecture".
twinmind-security-basics
Security best practices for TwinMind: on-device audio processing, encrypted cloud backups, microphone permissions, and data privacy controls. Use when implementing security basics, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind security basics", "twinmind security basics".
twinmind-upgrade-migration
Upgrade between TwinMind plan tiers and migrate configurations. Use when upgrading from Free to Pro, Pro to Enterprise, or migrating between TwinMind environments. Trigger with phrases like "upgrade twinmind", "twinmind pro", "twinmind enterprise", "migrate twinmind", "twinmind tier change".
twinmind-webhooks-events
Handle TwinMind meeting events including transcription completion, action item extraction, and calendar sync notifications. Use when implementing webhooks events, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind webhooks events", "twinmind webhooks events".
windsurf-rate-limits
Understand and manage Windsurf credit system, usage limits, and model selection. Use when running out of credits, optimizing AI usage costs, or understanding the credit-per-model pricing structure. Trigger with phrases like "windsurf credits", "windsurf rate limit", "windsurf usage", "windsurf out of credits", "windsurf model costs".
azure-aigateway
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.
agent-framework-azure-ai-py
Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
agentic-actions-auditor
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches. AI agents running in CI/CD pipelines.
ai-engineer
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.
ai-seo
Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citation readiness.
ai-wrapper-product
Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc. ) into focused tools people will pay for. Not just "ChatGPT but different" - products that solve specific problems with AI.
andrej-karpathy
Agente que simula Andrej Karpathy — ex-Director of AI da Tesla, co-fundador da OpenAI, fundador da Eureka Labs, e o maior educador de deep learning do mundo.
autonomous-agent-patterns
Design patterns for building autonomous coding agents, inspired by [Cline](https://github.com/cline/cline) and [OpenAI Codex](https://github.com/openai/codex).
azure-ai-agents-persistent-dotnet
Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
azure-ai-agents-persistent-java
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
azure-ai-openai-dotnet
Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcription, and assistants.
azure-ai-projects-dotnet
Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes.
azure-ai-projects-py
Build AI applications on Microsoft Foundry using the azure-ai-projects SDK.
azure-ai-projects-ts
High-level SDK for Azure AI Foundry projects with agents, connections, deployments, and evaluations.
azure-ai-voicelive-dotnet
Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication.
azure-ai-voicelive-java
Azure AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI assistants using WebSocket.
azure-ai-voicelive-py
Build real-time voice AI applications with bidirectional WebSocket communication.
blockrun
BlockRun works with Claude Code and Google Antigravity.
cc-skill-security-review
This skill ensures all code follows security best practices and identifies potential vulnerabilities. Use when implementing authentication or authorization, handling user input or file uploads, or creating new API endpoints.
claude-api
Build apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic SDKs, or Agent SDK. DO NOT TRIGGER when: code imports `openai`/other AI SDK, general programming, or ML/data-science tasks.
computer-use-agents
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives.
copilot-sdk
Build applications that programmatically interact with GitHub Copilot. The SDK wraps the Copilot CLI via JSON-RPC, providing session management, custom tools, hooks, MCP server integration, and streaming across Node.js, Python, Go, and .NET.
cred-omega
CISO operacional enterprise para gestao total de credenciais e segredos.
crewai
Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies.
embedding-strategies
Guide to selecting and optimizing embedding models for vector search applications.
expo-api-routes
Guidelines for creating API routes in Expo Router with EAS Hosting
geo-fundamentals
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
ilya-sutskever
Agente que simula Ilya Sutskever — co-fundador da OpenAI, ex-Chief Scientist, fundador da SSI. Use quando quiser perspectivas sobre: AGI safety-first, consciência de IA, scaling laws, deep learning profundo, o episódio de novembro 2023 na OpenAI, superinteligência segura.
langchain-architecture
Master the LangChain framework for building sophisticated LLM applications with agents, chains, memory, and tool integration.
langfuse
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production.
langgraph
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern.
last30days
Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.
llm-prompt-optimizer
Use when improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage.
llm-structured-output
Get reliable JSON, enums, and typed objects from LLMs using response_format, tool_use, and schema-constrained decoding across OpenAI, Anthropic, and Google APIs.
local-llm-expert
Master local LLM inference, model selection, VRAM optimization, and local deployment using Ollama, llama.cpp, vLLM, and LM Studio. Expert in quantization formats (GGUF, EXL2) and local AI privacy.
loki-mode
Version 2.35.0 | PRD to Production | Zero Human Intervention > Research-enhanced: OpenAI SDK, DeepMind, Anthropic, AWS Bedrock, Agent SDK, HN Production (2025)
m365-agents-py
Microsoft 365 Agents SDK for Python. Build multichannel agents for Teams/M365/Copilot Studio with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based auth.
pipecat-friday-agent
Build a low-latency, Iron Man-inspired tactical voice assistant (F.R.I.D.A.Y.) using Pipecat, Gemini, and OpenAI.
podcast-generation
Generate real audio narratives from text content using Azure OpenAI's Realtime API.
prompt-caching
Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation)
prompt-engineer
Transforms user prompts into optimized prompts using frameworks (RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW)
prompt-library
A comprehensive collection of battle-tested prompts inspired by [awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts) and community best practices.
pydantic-ai
Build production-ready AI agents with PydanticAI — type-safe tool use, structured outputs, dependency injection, and multi-model support.
sam-altman
Agente que simula Sam Altman — CEO da OpenAI, ex-presidente da Y Combinator, arquiteto da era AGI.
seo-aeo-blog-writer
Writes long-form blog posts with TL;DR block, definition sentence, comparison table, and 5-question FAQ for SEO ranking and AEO citation. Activate when the user wants to write a blog post, article, or long-form content piece.
seo-aeo-landing-page-writer
Writes complete, structured landing pages optimized for SEO ranking, AEO citation, and visitor conversion. Activate when the user wants to write or generate a landing page for a product, service, or offer.
seo-geo
Optimize content for AI Overviews, ChatGPT, Perplexity, and other AI search systems. Use when improving GEO, AI citations, llms.txt readiness, crawler accessibility, and passage-level citability.
seo-technical
Audit technical SEO across crawlability, indexability, security, URLs, mobile, Core Web Vitals, structured data, JavaScript rendering, and related platform signals like robots.txt and AI crawler access.
trigger-dev
Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design.
vercel-ai-sdk-expert
Expert in the Vercel AI SDK. Covers Core API (generateText, streamText), UI hooks (useChat, useCompletion), tool calling, and streaming UI components with React and Next.js.
voice-agents
Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems.
voice-ai-development
Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit for real-time infrastructure, and WebRTC fundamentals.
wordpress
Complete WordPress development workflow covering theme development, plugin creation, WooCommerce integration, performance optimization, and security hardening. Includes WordPress 7.0 features: Real-Time Collaboration, AI Connectors, Abilities API, DataViews, and PHP-only blocks.
wordpress-plugin-development
WordPress plugin development workflow covering plugin architecture, hooks, admin interfaces, REST API, security best practices, and WordPress 7.0 features: Real-Time Collaboration, AI Connectors, Abilities API, DataViews, and PHP-only blocks.
pgvector-semantic-search
Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. **Trigger when user asks to:** - Store or search vector embeddings in PostgreSQL - Set up semantic search, similarity search, or nearest neighbor search - Create HNSW or IVFFlat indexes for vectors - Implement RAG (Retrieval Augmented Generation) with PostgreSQL - Optimize pgvector performance, recall, or memory usage - Use binary quantization for large vector datasets **Keywords:** pgvector, embeddings, semantic search, vector similarity, HNSW, IVFFlat, halfvec, cosine distance, nearest neighbor, RAG, LLM, AI search Covers: halfvec storage, HNSW index configuration (m, ef_construction, ef_search), quantization strategies, filtered search, bulk loading, and performance tuning.
agentic-development
Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)
ai-models
Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate
code-review
Mandatory code reviews via /code-review before commits and deploys
codex-review
OpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration
ms-teams-apps
Microsoft Teams bots and AI agents - Claude/OpenAI, Adaptive Cards, Graph API
azure-aigateway
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.
m365-agents-ts
Microsoft 365 Agents SDK for TypeScript/Node.js.
yann-lecun-filosofia
Sub-skill filosófica e pedagógica de Yann LeCun.
blog
Full-lifecycle blog engine with 30 sub-skills, 12 content templates, 5-category 100-point scoring, and 5 specialized agents. Routes user requests to the right sub-skill: writing, rewriting, analysis, outlines, audits, schema, charts, images, repurposing, AI-citation optimization, FLOW framework prompts, topic-cluster execution, and multilingual publishing. Optimized for Google rankings (December 2025 Core Update, E-E-A-T) and AI citations (GEO/AEO). Supports any platform (WordPress, Next.js MDX, Hugo, Ghost, Astro, Jekyll, 11ty, Gatsby, HTML). Use when user says "blog", "write a blog", "blog post", "blog strategy", "content brief", "editorial calendar", "blog audit", "blog optimization", "topic cluster", "multilingual blog", "FLOW framework", or any /blog subcommand. Sub-skill descriptions cover narrower triggers.
blog-geo
AI citation readiness audit ONLY (does not touch Google rankings, use blog-rewrite for combined Google+AI work). Use whenever the user wants their content to rank in ChatGPT, Perplexity, Claude, Gemini, or Google AI Overviews. AI citation optimization audit scoring blog posts for ChatGPT, Perplexity, and Google AI Overview citability. Evaluates passage-level citability, Q&A formatting, entity clarity, structured data, and AI crawler accessibility. Generates citation capsules and a 0-100 AI Citation Readiness score. Use when user says "geo", "ai citation", "ai optimization", "citation audit", "aeo", "perplexity optimization", "chatgpt citation".
blog-rewrite
Rewrite and optimize existing blog posts for Google rankings (December 2025 Core Update, E-E-A-T) and AI citations (GEO/AEO). Full rewrite for both Google rankings AND AI citations. For AI-citation-only audit (no Google work), use blog-geo instead. Replaces fabricated statistics with sourced data, applies answer-first formatting, adds Pixabay/Unsplash images, generates built-in SVG charts, injects FAQ schema, performs AI content detection, adds citation capsules and information gain markers, and updates freshness signals. Works with any blog format (MDX, markdown, HTML). Use when user says "rewrite blog", "optimize blog", "update blog", "improve blog", "fix blog", "refresh blog post", "blog optimization".
blog-strategy
Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning (YouTube, Reddit, review platforms for GEO), content scoring targets, measurement framework, and content differentiation through original research and first-hand experience. Use when user says "blog strategy", "content strategy", "blog positioning", "what should I blog about", "blog topics", "content pillars", "blog ideation".
blog-write
Write new blog articles from scratch optimized for Google rankings and AI citations. Generates full articles with template selection, answer-first formatting, Key Takeaways summary box, information gain markers, citation capsules, sourced statistics, Pixabay/Unsplash images, built-in SVG chart generation, FAQ schema, internal linking zones, and proper heading hierarchy. Supports MDX, markdown, and HTML output. Use when user says "write blog", "new blog post", "create article", "write about", "draft blog", "generate blog post".
seo
Comprehensive SEO analysis for any website or business type. Full site audits, single-page analysis, technical SEO (crawlability, indexability, Core Web Vitals with INP), schema markup, content quality (E-E-A-T), image optimization, sitemap analysis, and GEO for AI Overviews/ChatGPT/Perplexity. Industry detection for SaaS, e-commerce, local, publishers, agencies. Triggers on: SEO, audit, schema, Core Web Vitals, sitemap, E-E-A-T, AI Overviews, GEO, technical SEO, content quality, page speed, structured data.
seo-dataforseo
Live SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo, YouTube, Google Images), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (ChatGPT scraper, LLM mention tracking), and domain analytics. Requires DataForSEO extension installed. Use when user says "dataforseo", "live SERP", "keyword volume", "backlink data", "competitor data", "AI visibility check", "LLM mentions", "image SERP", "google images", "image rankings", or "real search data".
seo-geo
Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", or "AI visibility".
seo-local
Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business type (brick-and-mortar, SAB, hybrid) and industry vertical (restaurant, healthcare, legal, home services, real estate, automotive). Use when user says "local SEO", "Google Business Profile", "GBP", "map pack", "local pack", "citations", "NAP consistency", "local rankings", "service area", "multi-location", or "local search".
seo-technical
Technical SEO audit across 9 categories: crawlability, indexability, security, URL structure, mobile, Core Web Vitals, structured data, JavaScript rendering, and IndexNow protocol. Use when user says "technical SEO", "crawl issues", "robots.txt", "Core Web Vitals", "site speed", or "security headers".
geo-content-optimizer
Use when the user asks to "optimize for AI citations"; improves citation readiness for ChatGPT, Perplexity, AI Overviews, Gemini, and Claude. Not for structural on-page SEO — use on-page-seo-auditor; not for net-new drafting — use seo-content-writer. AI引用优化/GEO优化/AI搜索
compute-pulse
Weekly tracker for the AI compute market — GPU/hardware deals, inference pricing trends, decentralized compute token signals, and lab vs hyperscaler dynamics.
credentials
Centralized API key management from Access.txt
business-growth-skills
4 business growth agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Customer success (health scoring, churn), sales engineer (RFP), revenue operations (pipeline, GTM), contract & proposal writer. Python tools (stdlib-only).
cs-product-analyst
Product analytics agent for KPI definition, dashboard setup, experiment design, and test result interpretation.
finance-skills
Financial analyst agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Ratio analysis, DCF valuation, budget variance, rolling forecasts. 4 Python tools (stdlib-only).
pm-skills
6 project management agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Senior PM, scrum master, Jira expert (JQL), Confluence expert, Atlassian admin, template creator. MCP integration for live Jira/Confluence automation.
product-skills
10 product agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. PM toolkit (RICE), agile PO, product strategist (OKR), UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, research summarizer. Python tools (stdlib-only).
ra-qm-skills
12 regulatory & QM agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. ISO 13485 QMS, MDR 2017/745, FDA 510(k)/PMA, ISO 27001 ISMS, GDPR/DSGVO, risk management (ISO 14971), CAPA, document control, auditing. Python tools (stdlib-only).
seo-backlinks
Backlink profile analysis: referring domains, anchor text distribution, toxic link detection, competitor gap analysis. Works with free APIs (Moz, Bing Webmaster, Common Crawl) and DataForSEO extension. Use when user says backlinks, link profile, referring domains, anchor text, toxic links, link gap, link building, disavow, or backlink audit.
together-cost-tuning
Together AI cost tuning for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together cost tuning".
together-debug-bundle
Together AI debug bundle for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together debug bundle".
together-performance-tuning
Together AI performance tuning for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together performance tuning".
implementing-llm-guardrails-for-security
Implements input and output validation guardrails for LLM-powered applications to prevent prompt injection, data leakage, toxic content generation, and hallucinated outputs. Builds a security validation pipeline using NVIDIA NeMo Guardrails Colang definitions, custom Python validators for PII detection and content policy enforcement, and the Guardrails AI framework for structured output validation. The guardrails system intercepts both user inputs (blocking injection attempts, stripping PII, enforcing topic boundaries) and model outputs (detecting hallucinations, filtering toxic content, validating JSON schema compliance). Activates for requests involving LLM output validation, AI content filtering, guardrail implementation, or LLM safety enforcement.
performing-ai-driven-osint-correlation
Use AI and LLM-based reasoning to correlate findings across multiple OSINT sources—username enumeration, email lookups, social media profiles, domain records, breach databases, and dark-web mentions—into unified intelligence profiles with confidence scoring and link analysis.
vcagent-browser
AI-optimized browser automation CLI with context-efficient snapshots. Use for long autonomous sessions, self-verifying workflows, video recording, and cloud browser testing (Browserbase).
vcchrome-devtools
Automate browsers with Puppeteer CLI scripts and persistent sessions. Use for screenshots, performance analysis, network monitoring, web scraping, form automation, JavaScript debugging.
vcdebug
Debug systematically with root-cause analysis before fixes. Use for bugs, test failures, unexpected behavior, performance issues, CI failures, or system investigation.
vcrepomix
Use when you need to pack a local or remote repository into an AI-friendly reference artifact for research, audits, feature-porting prep, context review, or security-oriented repo analysis.
vcsequential-thinking
Apply step-by-step analysis for complex problems with revision capability. Use for multi-step reasoning, hypothesis verification, adaptive planning, problem decomposition, course correction.
vctech-graph
Use when you need publish-grade SVG or PNG technical diagrams for architecture, flow, sequence, UML, state, or comparison visuals, with preview used afterward for review rather than generation.
vcwatzup
Use when you need a read-only handoff summary of current branch state, local/remote refs, worktrees, active project plans, selected-plan hints, and suggested next checks.
vcweb-testing
Web testing with Playwright, Vitest, k6. E2E/unit/integration/load/security/visual/a11y testing. Use for test automation, flakiness, Core Web Vitals, mobile gestures, cross-browser.
vcxia
Use when you need to compare a local or remote repository, extract a feature idea, or prepare an adaptation study without planning or implementing it yet.
agent-identifier
Use when creating or configuring Claude Code agents and their frontmatter.
architecture-design
Use only when creating new registrable ML components that require Factory or Registry patterns.
bug-detective
This skill should be used when the user asks to "debug this", "fix this error", "investigate this bug", "troubleshoot this issue", "find the problem", "something is broken", "this isn't working", "why is this failing", or reports errors/exceptions/bugs. Provides systematic debugging workflow and common error patterns.
citation-verification
This skill provides reference guidance for citation verification in academic writing. Use when the user asks about "citation verification best practices", "how to verify references", "preventing fake citations", or needs guidance on citation accuracy. This skill supports ml-paper-writing by providing detailed verification principles and common error patterns.
code-review-excellence
This skill should be used when the user asks to review a diff or pull request, write review comments, audit code quality, establish review standards, or improve how a team performs code review.
command-development
This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.
daily-paper-generator
Use when the user asks to "generate daily paper", "search arXiv for EEG papers", "find EEG decoding papers", "review brain-computer interface papers", or wants to create paper summaries for EEG/brain decoding/speech decoding research. This skill automates searching arXiv for recent papers on EEG decoding, EEG speech decoding, or brain foundation models, reviewing paper quality, and generating structured Chinese/English summaries.
doc-coauthoring
This skill should be used when the user asks to co-author documentation, draft a proposal, write a technical spec, create a decision doc or RFC, or structure a substantial document through iterative collaboration and reader testing.
frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
git-workflow
This skill should be used when the user asks to "create git commit", "manage branches", "follow git workflow", "use Conventional Commits", "handle merge conflicts", or asks about git branching strategies, version control best practices, pull request workflows. Provides comprehensive Git workflow guidance for team collaboration.
hook-development
This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", or mentions hook events (PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification). Provides comprehensive guidance for creating and implementing Claude Code plugin hooks with focus on advanced prompt-based hooks API.
kaggle-learner
This skill should be used when the user asks to "learn from Kaggle", "study Kaggle solutions", "analyze Kaggle competitions", or mentions Kaggle competition URLs. Provides access to extracted knowledge from winning Kaggle solutions across NLP, CV, time series, tabular, and multimodal domains.
latex-conference-template-organizer
Organize messy conference LaTeX template .zip files into clean Overleaf-ready structure. Use when the user asks to "organize LaTeX template", "clean up .zip template", or "prepare Overleaf submission template".
mcp-integration
This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.
obsidian-literature-workflow
Use this skill when the user keeps paper notes inside an Obsidian project knowledge base and wants filesystem-first literature review, explicit agent-first Zotero ingestion, `Papers/` plus `Knowledge/` synthesis, collection-wide normalization, and a default literature canvas without Obsidian MCP.
paper-self-review
This skill should be used when the user asks to "review paper quality", "check paper completeness", "validate paper structure", "self-review before submission", or mentions systematic paper quality checking. Provides comprehensive quality assurance checklist for academic papers.
planning-with-files
Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Use when starting complex tasks, multi-step projects, research tasks, or when the user mentions planning, organizing work, tracking progress, or wants structured output.
plugin-structure
This skill should be used when the user asks to "create a plugin", "scaffold a plugin", "understand plugin structure", "organize plugin components", "set up plugin.json", "use ${CLAUDE_PLUGIN_ROOT}", "add commands/agents/skills/hooks", "configure auto-discovery", or needs guidance on plugin directory layout, manifest configuration, component organization, file naming conventions, or Claude Code plugin architecture best practices.
post-acceptance
This skill should be used when the user asks to "prepare conference presentation", "create presentation slides", "design poster", "make academic poster", "write promotion content", "create Twitter thread", or mentions post-acceptance conference preparation. Provides comprehensive workflow for presentation, poster, and promotion content creation.
research-ideation
This skill should be used when the user asks to "brainstorm research ideas", "use 5W1H framework", "identify research gaps", "conduct gap analysis", "start research project", "conduct literature review", "define research question", "select research method", "plan research", or mentions research project initiation phase. Provides comprehensive guidance for research startup workflow from idea generation to planning.
results-analysis
This skill should be used when the user asks to "analyze experimental results", "run strict statistical analysis", "compare model performance", "generate scientific figures", "check significance", "do ablation analysis", or mentions interpreting experiment data with rigorous statistics and visualization. It focuses on strict analysis bundles, not Results-section prose.
results-report
This skill should be used when the user asks to "write an experiment report", "summarize experimental results", "do experiment retrospection", "write a results report", "写实验总结报告", "写实验复盘", or mentions turning completed experiment artifacts into a structured, decision-oriented research report. It assumes strict analysis should come from `results-analysis` first.
review-response
Systematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper acceptance rates.
skill-development
This skill should be used when the user asks to create a new skill, repair an existing skill, improve trigger descriptions, reorganize skill structure, or make a Claude skill more reusable and internally consistent.
skill-improver
This skill should be used when the user asks to "apply skill improvements", "update skill from plan", "execute improvement plan", "fix skill issues", "implement skill recommendations", or mentions applying improvements from quality review reports. Reads improvement-plan-{name}.md files generated by skill-quality-reviewer and intelligently merges and executes the suggested changes to improve Claude Skills quality.
skill-quality-reviewer
This skill should be used when the user asks to "analyze skill quality", "evaluate this skill", "review skill quality", "check my skill", or "generate quality report". Evaluates local skills across description quality, content organization, writing style, and structural integrity.
ui-ux-pro-max
This skill should be used when the user asks to design or review a UI, create a landing page or dashboard, choose colors or typography, improve accessibility, or implement polished frontend interfaces with a clear design system.
uv-package-manager
Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.
verification-loop
This skill should be used when the user asks to "verify code", "run verification", "check quality", "validate changes", or before creating a PR. Provides comprehensive verification including build, type check, lint, tests, security scan, and diff review.
web-design-reviewer
This skill enables visual inspection of websites running locally or remotely to identify and fix design issues. Triggers on requests like "review website design", "check the UI", "fix the layout", "find design problems". Detects issues with responsive design, accessibility, visual consistency, and layout breakage, then performs fixes at the source code level.
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
zotero-obsidian-bridge
Use this skill when papers are collected in Zotero but the user wants detailed reading notes, project-linked literature synthesis, collection-wide paper-note coverage checks, and a connected knowledge map inside the bound Obsidian project knowledge base.
my
Check and set the agent's own runtime state (model, iterations, context window, token usage, web config). Use when diagnosing why something doesn't work ("why can't you search the web?", "why did you stop?"), checking resource limits before complex tasks, adapting configuration for long or simple tasks, or remembering user preferences across turns. Also use when the user asks what model you are running, how many tokens you've used, or what your settings are.
tmux
Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.
github-pr-review-fix
Review and resolve PR comments from GitHub. Validates each comment, fixes legitimate issues.
open-notebook
Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis. Use when organizing research materials into notebooks, ingesting diverse content sources (PDFs, videos, audio, web pages, Office documents), generating AI-powered notes and summaries, creating multi-speaker podcasts from research, chatting with documents using context-aware AI, searching across materials with full-text and vector search, or running custom content transformations. Supports 16+ AI providers including OpenAI, Anthropic, Google, Ollama, Groq, and Mistral with complete data privacy through self-hosting.
algorithmic-art
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
deepchat-settings
DeepChat app settings modification (DeepChat 设置/偏好) skill. Activate ONLY when the user explicitly asks to change DeepChat's own settings/preferences (e.g., theme, language, font size...). Do NOT activate for OS/system settings, editor settings, or other apps.
docx
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
pptx
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
web-artifacts-builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
ccg
Claude-Codex-Gemini tri-model orchestration via /ask codex + /ask gemini, then Claude synthesizes results
omc-teams
CLI-team runtime for claude, codex, or gemini workers in tmux panes when you need process-based parallel execution
cover-art-prompting
Create detailed text-to-image prompts for album and song cover artwork optimized for Midjourney, DALL-E, and other AI image generators
guardrails-ai-setup
Guardrails AI validation framework setup for LLM applications. Implement input/output validation, safety checks, and structured output enforcement.
rag-hybrid-search
Hybrid search combining semantic and keyword retrieval for RAG pipelines. Implement BM25 + dense vector search with fusion strategies.
semantic-similarity
Semantic similarity computation for content relationships and intelligent discovery
openclaw-persona-forge
为 OpenClaw AI Agent 锻造完整的龙虾灵魂方案。根据用户偏好或随机抽卡， 输出身份定位、灵魂描述(SOUL.md)、角色化底线规则、名字和头像生图提示词。 如当前环境提供已审核的生图 skill，可自动生成统一风格头像图片。 当用户需要创建、设计或定制 OpenClaw 龙虾灵魂时使用。 不适用于：微调已有 SOUL.md、非 OpenClaw 平台的角色设计、纯工具型无性格 Agent。 触发词：龙虾灵魂、虾魂、OpenClaw 灵魂、养虾灵魂、龙虾角色、龙虾定位、 龙虾剧本杀角色、龙虾游戏角色、龙虾 NPC、龙虾性格、龙虾背景故事、 lobster soul、lobster character、抽卡、随机龙虾、龙虾 SOUL、gacha。
ab-test-setup
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
ad-creative
When the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.
agent-protocol
Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.
agenthub
Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
agile-product-owner
Agile product ownership for backlog management and sprint execution. Covers user story writing, acceptance criteria, sprint planning, and velocity tracking. Use for writing user stories, creating acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing backlog.
ai-seo
Optimize content to get cited by AI search engines — ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, Copilot. Use when you want your content to appear in AI-generated answers, not just ranked in blue links. Triggers: 'optimize for AI search', 'get cited by ChatGPT', 'AI Overviews', 'Perplexity citations', 'AI SEO', 'generative search', 'LLM visibility', 'GEO' (generative engine optimization). NOT for traditional SEO ranking (use seo-audit). NOT for content creation (use content-production).
analytics-tracking
Set up, audit, and debug analytics tracking implementation — GA4, Google Tag Manager, event taxonomy, conversion tracking, and data quality. Use when building a tracking plan from scratch, auditing existing analytics for gaps or errors, debugging missing events, or setting up GTM. Trigger keywords: GA4 setup, Google Tag Manager, GTM, event tracking, analytics implementation, conversion tracking, tracking plan, event taxonomy, custom dimensions, UTM tracking, analytics audit, missing events, tracking broken. NOT for analyzing marketing campaign data — use campaign-analytics for that. NOT for BI dashboards — use product-analytics for in-product event analysis.
andreessen
Marc Andreessen-mode decision and productivity skill. A blunt, market-first operator that pressure-tests ideas, ventures, features, and career bets through Andreessen's actual frameworks — market dominates team and product; the only milestone that matters is product/market fit; bias to build over deliberate. Use when the user says 'andreessen', 'pmarca mode', 'should I build this', 'is there a market', 'are we at product/market fit', 'pmf check', 'pressure-test this idea', 'be brutal about this venture', 'market-first take', or wants a no-disclaimers, no-hedging, confidence-leveled verdict on whether something is worth pursuing. Also provides the 3x5-card + Anti-Todo personal productivity routine. Runs on a fixed anti-sycophancy operating prompt: leads with the strongest counterargument, never validates premises, uses explicit confidence levels, never apologizes for disagreeing. Not for polite brainstorming — this skill exists to tell you the market is dead when it is.
apple-hig-expert
Expert guidance on Apple Human Interface Guidelines (HIG). Covers iOS, macOS, and visionOS with 2026 Liquid Glass aesthetics and accessibility-first design.
autoresearch-agent
Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repo.
board
Read, write, and browse the AgentHub message board for agent coordination.
board-deck-builder
Assembles comprehensive board and investor update decks by pulling perspectives from all C-suite roles. Use when preparing board meetings, investor updates, quarterly business reviews, or fundraising narratives. Covers structure, narrative framework, bad news delivery, and common mistakes.
board-meeting
Multi-agent board meeting protocol for strategic decisions. Runs a structured 6-phase deliberation: context loading, independent C-suite contributions (isolated, no cross-pollination), critic analysis, synthesis, founder review, and decision extraction. Use when the user invokes /cs:board, calls a board meeting, or wants structured multi-perspective executive deliberation on a strategic question.
brand-guidelines
When the user wants to apply, document, or enforce brand guidelines for any product or company. Also use when the user mentions 'brand guidelines,' 'brand colors,' 'typography,' 'logo usage,' 'brand voice,' 'visual identity,' 'tone of voice,' 'brand standards,' 'style guide,' 'brand consistency,' or 'company design standards.' Covers color systems, typography, logo rules, imagery guidelines, and tone matrix for any brand — including Anthropic's official identity.
c-level-advisor
10 C-level advisory agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. CEO, CTO, COO, CPO, CMO, CFO, CRO, CISO, CHRO, Executive Mentor. Multi-role board meetings, strategy routing, structured recommendations. For founders needing executive-level decision support.
c-level-agents
Founder-mode executive team. 8 cs-* C-suite agents (CFO, CMO, CRO, CPO, COO, CHRO, CISO, Chief of Staff) and 17 /cs:* slash commands for forcing-question office hours, multi-role boardroom deliberation, strategic sprint pipeline, and meta routing. Use when the founder needs a virtual executive team, when invoking /cs:* commands, or when orchestrating multi-role decisions.
campaign-analytics
Analyzes campaign performance with multi-touch attribution, funnel conversion analysis, and ROI calculation for marketing optimization. Use when analyzing marketing campaigns, ad performance, attribution models, conversion rates, or calculating marketing ROI, ROAS, CPA, and campaign metrics across channels.
capa-officer
CAPA system management for medical device QMS. Covers root cause analysis, corrective action planning, effectiveness verification, and CAPA metrics. Use for CAPA investigations, 5-Why analysis, fishbone diagrams, root cause determination, corrective action tracking, effectiveness verification, or CAPA program optimization.
capture
Captures and organizes chaotic brain dumps into a structured, actionable system with zero information loss. Use this skill whenever the user says 'capture this', 'brain dump', 'let me dump some ideas', 'I've got a bunch of thoughts', 'here's everything on my mind', 'idea dump', 'let me get this out of my head', 'I need to organize my thoughts', 'here's what I'm thinking', or any variation where someone is unloading a messy stream of ideas, tasks, thoughts, and plans wanting them turned into something coherent. Also trigger when the user pastes or dictates a long, unstructured block of mixed ideas — even without the exact phrase — the intent is the same. Fast-to-action by design: no upfront intake. Output is four sections (Projects/Ideas, Tasks, Connections, How I Can Help) ending with a directive question. Asks at most one mid-organization clarifying question when a single item is genuinely ambiguous between task and project.
caveman
Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman.
ceo-advisor
Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management. Use when planning strategy, preparing board presentations, managing investors, developing organizational culture, making executive decisions, fundraising, or when user mentions CEO, strategic planning, board meetings, investor updates, organizational leadership, or executive strategy.
cfo-advisor
Financial leadership for startups and scaling companies. Financial modeling, unit economics, fundraising strategy, cash management, and board financial packages. Use when building financial models, analyzing unit economics, planning fundraising, managing cash runway, preparing board materials, or when user mentions CFO, burn rate, runway, fundraising, unit economics, LTV, CAC, term sheets, or financial strategy.
chief-of-staff
C-suite orchestration layer. Routes founder questions to the right advisor role(s), triggers multi-role board meetings for complex decisions, synthesizes outputs, and tracks decisions. Every C-suite interaction starts here. Loads company context automatically.
chro-advisor
People leadership for scaling companies. Hiring strategy, compensation design, org structure, culture, and retention. Use when building hiring plans, designing comp frameworks, restructuring teams, managing performance, building culture, or when user mentions CHRO, HR, people strategy, talent, headcount, compensation, org design, retention, or performance management.
churn-prevention
Reduce voluntary and involuntary churn through cancel flow design, save offers, exit surveys, and dunning sequences. Use when designing or optimizing a cancel flow, building save offers, setting up dunning emails, or reducing failed-payment churn. Trigger keywords: cancel flow, churn reduction, save offers, dunning, exit survey, payment recovery, win-back, involuntary churn, failed payments, cancel page. NOT for customer health scoring or expansion revenue — use customer-success-manager for that.
ciso-advisor
Security leadership for growth-stage companies. Risk quantification in dollars, compliance roadmap (SOC 2/ISO 27001/HIPAA/GDPR), security architecture strategy, incident response leadership, and board-level security reporting. Use when building security programs, justifying security budget, selecting compliance frameworks, managing incidents, assessing vendor risk, or when user mentions CISO, security strategy, compliance roadmap, zero trust, or board security reporting.
setup
Set up a new autoresearch experiment interactively. Collects domain, target file, eval command, metric, direction, and evaluator.
social-media-analyzer
Social media campaign analysis and performance tracking. Calculates engagement rates, ROI, and benchmarks across platforms. Use for analyzing social media performance, calculating engagement rate, measuring campaign ROI, comparing platform metrics, or benchmarking against industry standards.
cmo-advisor
Marketing leadership for scaling companies. Brand positioning, growth model design, marketing budget allocation, and marketing org design. Use when designing brand strategy, selecting growth models (PLG vs sales-led vs community-led), allocating marketing budgets, building marketing teams, or when user mentions CMO, brand strategy, growth model, CAC, LTV, channel mix, or marketing ROI.
cold-email
When the user wants to write, improve, or build a sequence of B2B cold outreach emails to prospects who haven't asked to hear from them. Use when the user mentions 'cold email,' 'cold outreach,' 'prospecting emails,' 'SDR emails,' 'sales emails,' 'first touch email,' 'follow-up sequence,' or 'email prospecting.' Also use when they share an email draft that sounds too sales-y and needs to be humanized. Distinct from email-sequence (lifecycle/nurture to opted-in subscribers) — this is unsolicited outreach to new prospects. NOT for lifecycle emails, newsletters, or drip campaigns (use email-sequence).
company-os
The meta-framework for how a company runs — the connective tissue between all C-suite roles. Covers operating system selection (EOS, Scaling Up, OKR-native, hybrid), accountability charts, scorecards, meeting pulse, issue resolution, and 90-day rocks. Use when setting up company operations, selecting a management framework, designing meeting rhythms, building accountability systems, implementing OKRs, or when user mentions EOS, Scaling Up, operating system, L10 meetings, rocks, scorecard, accountability chart, or quarterly planning.
competitive-intel
Systematic competitor tracking that feeds CMO positioning, CRO battlecards, and CPO roadmap decisions. Use when analyzing competitors, building sales battlecards, tracking market moves, positioning against alternatives, or when user mentions competitive intelligence, competitive analysis, competitor research, battlecards, win/loss, or market positioning.
competitor-alternatives
When the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' 'competitive landing pages,' 'switch from competitor,' or 'comparison content.' Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. Emphasizes deep research, modular content architecture, and varied section types beyond feature tables.
content-creator
Deprecated redirect skill that routes legacy 'content creator' requests to the correct specialist. Use when a user invokes 'content creator', asks to write a blog post, article, guide, or brand voice analysis (routes to content-production), or asks to plan content, build a topic cluster, or create a content calendar (routes to content-strategy). Does not handle requests directly — identifies user intent and redirects to content-production for writing/SEO/brand-voice tasks or content-strategy for planning tasks.
content-humanizer
Makes AI-generated content sound genuinely human — not just cleaned up, but alive. Use when content feels robotic, uses too many AI clichés, lacks personality, or reads like it was written by committee. Triggers: 'this sounds like AI', 'make it more human', 'add personality', 'it feels generic', 'sounds robotic', 'fix AI writing', 'inject our voice'. NOT for initial content creation (use content-production). NOT for SEO optimization (use content-production Mode 3).
content-production
Full content production pipeline — takes a topic from blank page to published-ready piece. Use when you need to execute content: write a blog post, article, or guide end-to-end. Triggers: 'write a post about', 'draft an article', 'create content for', 'help me write', 'I need a blog post'. NOT for content strategy or calendar planning (use content-strategy). NOT for repurposing existing content (use content-repurposing). NOT for social captions only.
content-strategy
When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions "content strategy," "what should I write about," "content ideas," "blog strategy," "topic clusters," or "content planning." For writing individual pieces, see copywriting. For SEO-specific audits, see seo-audit.
context-engine
Loads and manages company context for all C-suite advisor skills. Reads ~/.claude/company-context.md, detects stale context (>90 days), enriches context during conversations, and enforces privacy/anonymization rules before external API calls.
coo-advisor
Operations leadership for scaling companies. Process design, OKR execution, operational cadence, and scaling playbooks. Use when designing operations, setting up OKRs, building processes, scaling teams, analyzing bottlenecks, planning operational cadence, or when user mentions COO, operations, process improvement, OKRs, scaling, operational efficiency, or execution.
copy-editing
When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' or 'copy sweep.' This skill provides a systematic approach to editing marketing copy through multiple focused passes.
copywriting
When the user wants to write, rewrite, or improve marketing copy for any page — including homepage, landing pages, pricing pages, feature pages, about pages, or product pages. Also use when the user says "write copy for," "improve this copy," "rewrite this page," "marketing copy," "headline help," or "CTA copy." For email copy, see email-sequence. For popup copy, see popup-cro.
cpo-advisor
Product leadership for scaling companies. Product vision, portfolio strategy, product-market fit, and product org design. Use when setting product vision, managing a product portfolio, measuring PMF, designing product teams, prioritizing at the portfolio level, reporting to the board on product, or when user mentions CPO, product strategy, product-market fit, product organization, portfolio prioritization, or roadmap strategy.
cro-advisor
Revenue leadership for B2B SaaS companies. Revenue forecasting, sales model design, pricing strategy, net revenue retention, and sales team scaling. Use when designing the revenue engine, setting quotas, modeling NRR, evaluating pricing, building board forecasts, or when user mentions CRO, chief revenue officer, revenue strategy, sales model, ARR growth, NRR, expansion revenue, churn, pricing strategy, or sales capacity.
cs-onboard
Founder onboarding interview that captures company context across 7 dimensions. Invoke with /cs:setup for initial interview or /cs:update for quarterly refresh. Generates ~/.claude/company-context.md used by all C-suite advisor skills.
cto-advisor
Technical leadership guidance for engineering teams, architecture decisions, and technology strategy. Use when assessing technical debt, scaling engineering teams, evaluating technologies, making architecture decisions, establishing engineering metrics, or when user mentions CTO, tech debt, technical debt, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, or technology strategy.
culture-architect
Build, measure, and evolve company culture as operational behavior — not wall posters. Covers mission/vision/values workshops, values-to-behaviors translation, culture code creation, culture health assessment, and cultural rituals by stage. Use when building company values, assessing culture health, designing cultural rituals, creating culture codes, handling culture clashes, or when user mentions culture, values, culture debt, founder culture, or culture code.
customer-success-manager
Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success. Use when analyzing customer accounts, reviewing retention metrics, scoring at-risk customers, or when the user mentions churn, customer health scores, upsell opportunities, expansion revenue, retention analysis, or customer analytics. Runs three Python CLI tools to produce deterministic health scores, churn risk tiers, and prioritized expansion recommendations across Enterprise, Mid-Market, and SMB segments.
decision-logger
Two-layer memory architecture for board meeting decisions. Manages raw transcripts (Layer 1) and approved decisions (Layer 2). Use when logging decisions after a board meeting, reviewing past decisions with /cs:decisions, or checking overdue action items with /cs:review. Invoked automatically by the board-meeting skill after Phase 5 founder approval.
docker-development
Docker and container development agent skill and plugin for Dockerfile optimization, docker-compose orchestration, multi-stage builds, and container security hardening. Use when: user wants to optimize a Dockerfile, create or improve docker-compose configurations, implement multi-stage builds, audit container security, reduce image size, or follow container best practices. Covers build performance, layer caching, secret management, and production-ready container patterns.
email-sequence
When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions "email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," or "lifecycle emails." For in-app onboarding, see onboarding-cro.
epic-design
Build immersive, cinematic 2.5D interactive websites using scroll storytelling, parallax depth, text animations, and premium scroll effects — no WebGL required. Use this skill for any web design task: landing pages, product sites, hero sections, scroll animations, parallax, sticky sections, section overlaps, floating products between sections, clip-path reveals, text that flies in from sides, words that light up on scroll, curtain drops, iris opens, card stacks, bleed typography, and any site that should feel cinematic or premium. Trigger on phrases like "make it feel alive", "Apple-style animation", "sections that overlap", "product rises between sections", "immersive", "scrollytelling", or any scroll-driven visual effect. Covers 45+ techniques across 8 categories. Always inspects, judges, and plans assets before coding. Use aggressively for ANY web design task.
eval
Evaluate and rank agent results by metric or LLM judge for an AgentHub session.
executive-mentor
Adversarial thinking partner for founders and executives. Stress-tests plans, prepares for brutal board meetings, dissects decisions with no good options, and forces honest post-mortems. Use when you need someone to find the holes before the board does, make a decision you've been avoiding, or understand what actually went wrong.
extract
Turn a proven pattern or debugging solution into a standalone reusable skill with SKILL.md, reference docs, and examples.
form-cro
When the user wants to optimize any form that is NOT signup/registration — including lead capture forms, contact forms, demo request forms, application forms, survey forms, or checkout forms. Also use when the user mentions "form optimization," "lead form conversions," "form friction," "form fields," "form completion rate," or "contact form." For signup/registration forms, see signup-flow-cro. For popups containing forms, see popup-cro.
founder-coach
Personal leadership development for founders and first-time CEOs. Covers founder archetype identification, delegation frameworks, energy management, CEO calendar audits, leadership style evolution, blind spot identification, imposter syndrome, founder mental health, and succession planning. Use when a founder feels like the bottleneck, struggles to delegate, is burning out, transitioning from IC to executive, managing a board, or when user mentions founder mode, CEO growth, leadership development, delegation, burnout, or imposter syndrome.
free-tool-strategy
When the user wants to build a free tool for marketing — lead generation, SEO value, or brand awareness. Use when they mention 'engineering as marketing,' 'free tool,' 'calculator,' 'generator,' 'checker,' 'grader,' 'marketing tool,' 'lead gen tool,' 'build something for traffic,' 'interactive tool,' or 'free resource.' Covers idea evaluation, tool design, and launch strategy. For pure SEO content strategy (no tool), use seo-audit or content-strategy instead.
helm-chart-builder
Helm chart development agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw — chart scaffolding, values design, template patterns, dependency management, security hardening, and chart testing. Use when: user wants to create or improve Helm charts, design values.yaml files, implement template helpers, audit chart security (RBAC, network policies, pod security), manage subcharts, or run helm lint/test.
internal-narrative
Build and maintain one coherent company story across all audiences — employees, investors, customers, candidates, and partners. Detects narrative contradictions and ensures the same truth is framed for each audience's needs. Use when preparing investor updates, all-hands presentations, board communications, recruiting narratives, crisis communications, or when user mentions company narrative, messaging consistency, storytelling, all-hands, investor update, or crisis communication.
intl-expansion
International market expansion strategy. Market selection, entry modes, localization, regulatory compliance, and go-to-market by region. Use when expanding to new countries, evaluating international markets, planning localization, or building regional teams.
isms-audit-expert
Information Security Management System (ISMS) audit expert for ISO 27001 compliance verification, security control assessment, and certification support. Use when the user mentions ISO 27001, ISMS audit, Annex A controls, Statement of Applicability (SOA), gap analysis, nonconformity management, internal audit, surveillance audit, or security certification preparation. Helps review control implementation evidence, document audit findings, classify nonconformities, generate risk-based audit plans, map controls to Annex A requirements, prepare Stage 1 and Stage 2 audit documentation, and support corrective action workflows.
launch-strategy
When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature release,' 'announcement,' 'go-to-market,' 'beta launch,' 'early access,' 'waitlist,' 'product update,' 'GTM plan,' 'launch checklist,' or 'launch momentum.' This skill covers phased launches, channel strategy, and ongoing launch momentum.
loop
Start an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for scheduling.
ma-playbook
M&A strategy for acquiring companies or being acquired. Due diligence, valuation, integration, and deal structure. Use when evaluating acquisitions, preparing for acquisition, M&A due diligence, integration planning, or deal negotiation.
marketing-context
Create and maintain the marketing context document that all marketing skills read before starting. Use when the user mentions 'marketing context,' 'brand voice,' 'set up context,' 'target audience,' 'ICP,' 'style guide,' 'who is my customer,' 'positioning,' or wants to avoid repeating foundational information across marketing tasks. Run this at the start of any new project before using other marketing skills.
marketing-demand-acquisition
Creates demand generation campaigns, optimizes paid ad spend across LinkedIn, Google, and Meta, develops SEO strategies, and structures partnership programs for Series A+ startups scaling internationally. Use when planning marketing strategy, growth marketing, advertising campaigns, PPC optimization, lead generation, pipeline generation, or startup marketing budgets. Covers multi-channel acquisition (Google Ads, LinkedIn Ads, Meta Ads), CAC analysis, MQL/SQL workflows, attribution modeling, technical SEO, and co-marketing partnerships for hybrid PLG/Sales-Led motions in EU/US/Canada markets.
marketing-ideas
When the user needs marketing ideas, inspiration, or strategies for their SaaS or software product. Also use when the user asks for 'marketing ideas,' 'growth ideas,' 'how to market,' 'marketing strategies,' 'marketing tactics,' 'ways to promote,' or 'ideas to grow.' This skill provides 139 proven marketing approaches organized by category.
marketing-ops
Central router for the marketing skill ecosystem. Use when unsure which marketing skill to use, when orchestrating a multi-skill campaign, or when coordinating across content, SEO, CRO, channels, and analytics. Also use when the user mentions 'marketing help,' 'campaign plan,' 'what should I do next,' 'marketing priorities,' or 'coordinate marketing.'
marketing-psychology
When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application.
marketing-strategy-pmm
Product marketing skill for positioning, GTM strategy, competitive intelligence, and product launches. Use when the user asks about product positioning, go-to-market planning, competitive analysis, target audience definition, ICP definition, market research, launch plans, or sales enablement. Covers April Dunford positioning, ICP definition, competitive battlecards, launch playbooks, and international market entry. Produces deliverables including positioning statements, battlecard documents, launch plans, and go-to-market strategies.
mdr-745-specialist
EU MDR 2017/745 compliance specialist for medical device classification, technical documentation, clinical evidence, and post-market surveillance. Covers Annex VIII classification rules, Annex II/III technical files, Annex XIV clinical evaluation, and EUDAMED integration.
merge
Merge the winning agent's branch into base, archive losers, and clean up worktrees.
onboarding-cro
When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also use when the user mentions "onboarding flow," "activation rate," "user activation," "first-run experience," "empty states," "onboarding checklist," "aha moment," or "new user experience." For signup/registration optimization, see signup-flow-cro. For ongoing email sequences, see email-sequence.
org-health-diagnostic
Cross-functional organizational health check combining signals from all C-suite roles. Scores 8 dimensions on a traffic-light scale with drill-down recommendations. Use when assessing overall company health, preparing for board reviews, identifying at-risk functions, or when user mentions org health, health check, or health dashboard.
page-cro
When the user wants to optimize, improve, or increase conversions on any marketing page — including homepage, landing pages, pricing pages, feature pages, or blog posts. Also use when the user says "CRO," "conversion rate optimization," "this page isn't converting," "improve conversions," or "why isn't this page working." For signup/registration flows, see signup-flow-cro. For post-signup activation, see onboarding-cro. For forms outside of signup, see form-cro. For popups/modals, see popup-cro.
paid-ads
When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ad copy,' 'ad creative,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' or 'audience targeting.' This skill covers campaign strategy, ad creation, audience targeting, and optimization.
paywall-upgrade-cro
When the user wants to create or optimize in-app paywalls, upgrade screens, upsell modals, or feature gates. Also use when the user mentions "paywall," "upgrade screen," "upgrade modal," "upsell," "feature gate," "convert free to paid," "freemium conversion," "trial expiration screen," "limit reached screen," "plan upgrade prompt," or "in-app pricing." Distinct from public pricing pages (see page-cro) — this skill focuses on in-product upgrade moments where the user has already experienced value.
popup-cro
When the user wants to create or optimize popups, modals, overlays, slide-ins, or banners for conversion purposes. Also use when the user mentions "exit intent," "popup conversions," "modal optimization," "lead capture popup," "email popup," "announcement banner," or "overlay." For forms outside of popups, see form-cro. For general page conversion optimization, see page-cro.
pricing-strategy
Design, optimize, and communicate SaaS pricing — tier structure, value metrics, pricing pages, and price increase strategy. Use when building a pricing model from scratch, redesigning existing pricing, planning a price increase, or improving a pricing page. Trigger keywords: pricing tiers, pricing page, price increase, packaging, value metric, per seat pricing, usage-based pricing, freemium, good-better-best, pricing strategy, monetization, pricing page conversion, Van Westendorp. NOT for broader product strategy — use product-strategist for that. NOT for customer success or renewals — use customer-success-manager for expansion revenue.
programmatic-seo
When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," or "building many pages for SEO." For auditing existing SEO issues, see seo-audit.
promote
Graduate a proven pattern from auto-memory (MEMORY.md) to CLAUDE.md or .claude/rules/ for permanent enforcement.
prompt-engineer-toolkit
Analyzes and rewrites prompts for better AI output, creates reusable prompt templates for marketing use cases (ad copy, email campaigns, social media), and structures end-to-end AI content workflows. Use when the user wants to improve prompts for AI-assisted marketing, build prompt templates, or optimize AI content workflows. Also use when the user mentions 'prompt engineering,' 'improve my prompts,' 'AI writing quality,' 'prompt templates,' or 'AI content workflow.'
qms-audit-expert
ISO 13485 internal audit expertise for medical device QMS. Covers audit planning, execution, nonconformity classification, and CAPA verification. Use for internal audit planning, audit execution, finding classification, external audit preparation, or audit program management.
referral-program
When the user wants to design, launch, or optimize a referral or affiliate program. Use when they mention 'referral program,' 'affiliate program,' 'word of mouth,' 'refer a friend,' 'incentive program,' 'customer referrals,' 'brand ambassador,' 'partner program,' 'referral link,' or 'growth through referrals.' Covers program mechanics, incentive design, and optimization — not just the idea of referrals but the actual system.
remember
Explicitly save important knowledge to auto-memory with timestamp and context. Use when a discovery is too important to rely on auto-capture.
research-summarizer
Structured research summarization agent skill for non-dev users. Handles academic papers, web articles, reports, and documentation. Extracts key findings, generates comparative analyses, and produces properly formatted citations. Use when: user wants to summarize a research paper, compare multiple sources, extract citations from documents, or create structured research briefs. Plugin for Claude Code, Codex, Gemini CLI, and OpenClaw.
run
Run a single experiment iteration. Edit the target file, evaluate, keep or discard.
saas-metrics-coach
SaaS financial health advisor. Use when a user shares revenue or customer numbers, or mentions ARR, MRR, churn, LTV, CAC, NRR, or asks how their SaaS business is doing.
scenario-war-room
Cross-functional what-if modeling for cascading multi-variable scenarios. Unlike single-assumption stress testing, this models compound adversity across all business functions simultaneously. Use when facing complex risk scenarios, strategic decisions with major downside, or when the user asks 'what if X AND Y both happen?'
schema-markup
When the user wants to implement, audit, or validate structured data (schema markup) on their website. Use when the user mentions 'structured data,' 'schema.org,' 'JSON-LD,' 'rich results,' 'rich snippets,' 'schema markup,' 'FAQ schema,' 'Product schema,' 'HowTo schema,' or 'structured data errors in Search Console.' Also use when someone asks why their content isn't showing rich results or wants to improve AI search visibility. NOT for general SEO audits (use seo-audit) or technical SEO crawl issues (use site-architecture).
scrum-master
Advanced Scrum Master skill for data-driven agile team analysis and coaching. Use when the user asks about sprint planning, velocity tracking, retrospectives, standup facilitation, backlog grooming, story points, burndown charts, blocker resolution, or agile team health. Runs Python scripts to analyse sprint JSON exports from Jira or similar tools: velocity_analyzer.py for Monte Carlo sprint forecasting, sprint_health_scorer.py for multi-dimension health scoring, and retrospective_analyzer.py for action-item and theme tracking. Produces confidence-interval forecasts, health grade reports, and improvement-velocity trends for high-performing Scrum teams.
self-eval
Honestly evaluate AI work quality using a two-axis scoring system. Use after completing a task, code review, or work session to get an unbiased assessment. Detects score inflation, forces devil's advocate reasoning, and persists scores across sessions.
senior-ml-engineer
ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infrastructure (MLflow, Kubeflow, Kubernetes, Docker), monitoring model performance or drift, building RAG pipelines, or integrating LLM APIs with retry logic and cost controls. Focused on production and operational concerns rather than model research or initial training.
senior-security
Security engineering toolkit for threat modeling, vulnerability analysis, secure architecture, and penetration testing. Includes STRIDE analysis, OWASP guidance, cryptography patterns, and security scanning tools. Use when the user asks about security reviews, threat analysis, vulnerability assessments, secure coding practices, security audits, attack surface analysis, CVE remediation, or security best practices.
seo-audit
When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," or "SEO health check." For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema-markup.
signup-flow-cro
When the user wants to optimize signup, registration, account creation, or trial activation flows. Also use when the user mentions "signup conversions," "registration friction," "signup form optimization," "free trial signup," "reduce signup dropoff," or "account creation flow." For post-signup onboarding, see onboarding-cro. For lead capture forms (not account creation), see form-cro.
site-architecture
When the user wants to audit, redesign, or plan their website's structure, URL hierarchy, navigation design, or internal linking strategy. Use when the user mentions 'site architecture,' 'URL structure,' 'internal links,' 'site navigation,' 'breadcrumbs,' 'topic clusters,' 'hub pages,' 'orphan pages,' 'silo structure,' 'information architecture,' or 'website reorganization.' Also use when someone has SEO problems and the root cause is structural (not content or schema). NOT for content strategy decisions about what to write (use content-strategy) or for schema markup (use schema-markup).
social-content
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms. Also use when the user mentions 'LinkedIn post,' 'Twitter thread,' 'social media,' 'content calendar,' 'social scheduling,' 'engagement,' or 'viral content.' This skill covers content creation, repurposing, and platform-specific strategies.
social-media-manager
When the user wants to develop social media strategy, plan content calendars, manage community engagement, or grow their social presence across platforms. Also use when the user mentions 'social media strategy,' 'social calendar,' 'community management,' 'social media plan,' 'grow followers,' 'engagement rate,' 'social media audit,' or 'which platforms should I use.' For writing individual social posts, see social-content. For analyzing social performance data, see social-media-analyzer.
spawn
Launch N parallel subagents in isolated git worktrees to compete on the session task.
strategic-alignment
Cascades strategy from boardroom to individual contributor. Detects and fixes misalignment between company goals and team execution. Covers strategy articulation, cascade mapping, orphan goal detection, silo identification, communication gap analysis, and realignment protocols. Use when teams are pulling in different directions, OKRs don't connect, departments optimize locally at company expense, or when user mentions alignment, strategy cascade, silo, conflicting OKRs, or strategy communication.
terraform-patterns
Terraform infrastructure-as-code agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Covers module design patterns, state management strategies, provider configuration, security hardening, policy-as-code with Sentinel/OPA, and CI/CD plan/apply workflows. Use when: user wants to design Terraform modules, manage state backends, review Terraform security, implement multi-region deployments, or follow IaC best practices.
x-twitter-growth
X/Twitter growth engine for building audience, crafting viral content, and analyzing engagement. Use when the user wants to grow on X/Twitter, write tweets or threads, analyze their X profile, research competitors on X, plan a posting strategy, or optimize engagement. Complements social-content (generic multi-platform) with X-specific depth: algorithm mechanics, thread engineering, reply strategy, profile optimization, and competitive intelligence via web search.
build-mcp-app
This skill should be used when the user wants to build an "MCP app", add "interactive UI" or "widgets" to an MCP server, "render components in chat", build "MCP UI resources", make a tool that shows a "form", "picker", "dashboard" or "confirmation dialog" inline in the conversation, or mentions "apps SDK" in the context of MCP. Use AFTER the build-mcp-server skill has settled the deployment model, or when the user already knows they want UI widgets.
ai-wrapper-product
Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Covers prompt engineering for products, cost management, rate limiting, and building defensible AI businesses. Use when: AI wrapper, GPT product, AI tool, wrap AI, AI SaaS.
blockrun
Use when user needs capabilities Claude lacks (image generation, real-time X/Twitter data) or explicitly requests external models ("blockrun", "use grok", "use gpt", "dall-e", "deepseek")
claude-api
Build apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic SDKs, or Agent SDK. DO NOT TRIGGER when: code imports `openai`/other AI SDK, general programming, or ML/data-science tasks.
computer-use-agents
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation.
geo-fundamentals
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
imagegen
Use when the user asks to generate or edit images via the OpenAI Image API (for example: generate image, edit/inpaint/mask, background removal or replacement, transparent background, product shots, concept art, covers, or batch variants); run the bundled CLI (`scripts/image_gen.py`) and require `OPENAI_API_KEY` for live calls.
langfuse
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production. Use when: langfuse, llm observability, llm tracing, prompt management, llm evaluation.
langgraph
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern. Used in production at LinkedIn, Uber, and 400+ companies. This is LangChain's recommended approach for building agents. Use when: langgraph, langchain agent, stateful agent, agent graph, react agent.
openai-docs
Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains.
security-review
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
skill-installer
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
sora
Use when the user asks to generate, remix, poll, list, download, or delete Sora videos via OpenAI’s video API using the bundled CLI (`scripts/sora.py`), including requests like “generate AI video,” “Sora,” “video remix,” “download video/thumbnail/spritesheet,” and batch video generation; requires `OPENAI_API_KEY` and Sora API access.
speech
Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts/text_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope.
transcribe
Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.
trigger-dev
Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task.
voice-ai-development
Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit for real-time infrastructure, and WebRTC fundamentals. Knows how to build low-latency, production-ready voice experiences. Use when: voice ai, voice agent, speech to text, text to speech, realtime voice.
resolve-issues-cc
Fetch all open GitHub issues, analyze bugs, resolve up to 30 per batch via per-issue worktrees + PRs into the release branch, triage the rest, wait for user validation
baoyu-image-gen
AI image generation with OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.
baoyu-imagine
AI image generation with OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.
claude-api
Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements). TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a Claude feature (caching, thinking, compaction, tool use, batch, files, citations, memory) or model (Opus/Sonnet/Haiku) in a file; questions about prompt caching / cache hit rate in an Anthropic SDK project. SKIP: file imports `openai`/other-provider SDK, filename like `*-openai.py`/`*-generic.py`, provider-neutral code, general programming/ML.
ai-image-generator
Generate AI images using Gemini or GPT APIs directly. Covers model selection (Gemini for scenes; GPT Image 2 for text rendering, batch variations, multi-reference compositing; GPT Image 1.5 for transparent icons), the 5-part prompting framework, API calling patterns, multi-turn editing, and quality assurance. Produces photorealistic scenes, icons, illustrations, OG images, posters, infographics, and product shots. Use when building websites that need images, creating marketing assets, or generating visual content. Triggers: 'generate image', 'ai image', 'create hero image', 'make an icon', 'generate illustration', 'create og image', 'poster', 'infographic', 'image variations', 'gpt-image-2', 'ai art', 'image generation'.
codex-review
Run an independent code review using the OpenAI Codex CLI in headless mode. Gets a second opinion from a different model family (the current Codex models) on recent changes, a PR, a commit, or the whole app — covering bugs, regressions, security, data consistency, UX/state bugs, performance risks, and testing gaps. Saves a severity-prioritised report to .jez/reviews/. Triggers: 'codex review', 'review with codex', 'independent code review', 'what does codex think', 'get codex to review'.
codex-e2e-test
Run PR-grade real Codex E2E validation through claude-tap, including resume turns, multiple tool calls, optional image input, viewer verification, and screenshot evidence.
agent-framework-azure-ai-py
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.
azure-ai-agents-persistent-dotnet
Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: "PersistentAgentsClient", "persistent agents", "agent threads", "agent runs", "streaming agents", "function calling agents .NET".
azure-ai-agents-persistent-java
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Triggers: "PersistentAgentsClient", "persistent agents java", "agent threads java", "agent runs java", "streaming agents java".
azure-ai-openai-dotnet
Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcription, and assistants. Triggers: "Azure OpenAI", "AzureOpenAIClient", "ChatClient", "chat completions .NET", "GPT-4", "embeddings", "DALL-E", "Whisper", "OpenAI .NET".
azure-ai-projects-dotnet
Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes. Use for AI Foundry project management, versioned agents, and orchestration. Triggers: "AI Projects", "AIProjectClient", "Foundry project", "versioned agents", "evaluations", "datasets", "connections", "deployments .NET".
azure-ai-projects-py
Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evaluations, managing connections/deployments/datasets/indexes, or using OpenAI-compatible clients. This is the high-level Foundry SDK - for low-level agent operations, use azure-ai-agents-python skill.
azure-ai-projects-ts
Build AI applications using Azure AI Projects SDK for JavaScript (@azure/ai-projects). Use when working with Foundry project clients, agents, connections, deployments, datasets, indexes, evaluations, or getting OpenAI clients.
azure-ai-voicelive-dotnet
Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots. Triggers: "voice live", "real-time voice", "VoiceLiveClient", "VoiceLiveSession", "voice assistant .NET", "bidirectional audio", "speech-to-speech".
azure-ai-voicelive-java
Azure AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI assistants using WebSocket. Triggers: "VoiceLiveClient java", "voice assistant java", "real-time voice java", "audio streaming java", "voice activity detection java".
azure-ai-voicelive-py
Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with Azure AI, including voice assistants, voice-enabled chatbots, real-time speech-to-speech translation, voice-driven avatars, or any WebSocket-based audio streaming with AI models. Supports Server VAD (Voice Activity Detection), turn-based conversation, function calling, MCP tools, avatar integration, and transcription.
m365-agents-py
Microsoft 365 Agents SDK for Python. Build multichannel agents for Teams/M365/Copilot Studio with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based auth. Triggers: "Microsoft 365 Agents SDK", "microsoft_agents", "AgentApplication", "start_agent_process", "TurnContext", "Copilot Studio client", "CloudAdapter".
m365-agents-ts
Microsoft 365 Agents SDK for TypeScript/Node.js. Build multichannel agents for Teams/M365/Copilot Studio with AgentApplication routing, Express hosting, streaming responses, and Copilot Studio client integration. Triggers: "Microsoft 365 Agents SDK", "@microsoft/agents-hosting", "AgentApplication", "startServer", "streamingResponse", "Copilot Studio client", "@microsoft/agents-copilotstudio-client".
microsoft-docs
Understand Microsoft technologies by querying official documentation. Use whenever the user asks how something works, wants tutorials, needs configuration options, limits, quotas, or best practices for any Microsoft technology (Azure, .NET, M365, Windows, Power Platform, etc.)—even if they don't mention "docs." If the question is about understanding a concept rather than writing code, this is the right skill.
azure-ai
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
capacity
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
customize
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
deploy-model
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
preset
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
manifest
Model Router for OpenClaw. Save up to 70% by routing requests to the right model. Choose LLM fallback to avoid API rate limits, set thresholds and reduce token consumption.
last30days
Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.
geo-optimizer
Generative Engine Optimization (GEO) — make content rank in AI search answers from ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. Audits existing content, rewrites for AI citation, and produces per-engine strategy. Use when asked to "optimize for AI search", "rank in ChatGPT", "GEO audit", "improve AI citations", "rank in Perplexity", "AI Overview optimization", "AI Overview ranking", "LLM SEO", "answer engine optimization", "AEO", "get cited by AI", "GEO", "generative engine optimization", "show up in ChatGPT", "appear in AI answers", "be cited by Perplexity", "SGE optimization", "Search Generative Experience", or "make my content show up in AI answers". Distinct from regular SEO — this targets generative engines, not traditional Google rankings.
openspec-apply-change
Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.
openspec-archive-change
Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.
openspec-bulk-archive-change
Archive multiple completed changes at once. Use when archiving several parallel changes.
openspec-continue-change
Continue working on an OpenSpec change by creating the next artifact. Use when the user wants to progress their change, create the next artifact, or continue their workflow.
openspec-explore
Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.
openspec-ff-change
Fast-forward through OpenSpec artifact creation. Use when the user wants to quickly create all artifacts needed for implementation without stepping through each one individually.
openspec-new-change
Start a new OpenSpec change using the experimental artifact workflow. Use when the user wants to create a new feature, fix, or modification with a structured step-by-step approach.
openspec-onboard
Guided onboarding for OpenSpec - walk through a complete workflow cycle with narration and real codebase work.
openspec-sync-specs
Sync delta specs from a change to main specs. Use when the user wants to update main specs with changes from a delta spec, without archiving the change.
openspec-verify-change
Verify implementation matches change artifacts. Use when the user wants to validate that implementation is complete, correct, and coherent before archiving.
perfup
Autonomous performance optimization: research, PoC, benchmark, implement, review, PR
hugging-face-evaluation
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.
molykit
CRITICAL: Use for MolyKit AI chat toolkit. Triggers on: BotClient, OpenAI, SSE streaming, AI chat, molykit, PlatformSend, spawn(), ThreadToken, cross-platform async, Chat widget, Messages, PromptInput, Avatar, LLM
robius-matrix-integration
CRITICAL: Use for Matrix SDK integration with Makepad. Triggers on: Matrix SDK, sliding sync, MatrixRequest, timeline, matrix-sdk, matrix client, robrix, matrix room, Matrix 集成, 聊天客户端
triage-reviews
Fetch PR review comments, verify each against real code/docs, fix valid issues, commit and push
interview-cheatsheet
Generate a long-form Chinese interview-prep cheat sheet on a specific ML/LLM topic — formulas with derivations, from-scratch PyTorch code, comparison tables, and 25 高频面试题 (L1 必会 / L2 进阶 / L3 顶级 lab). Cross-model codex review checks math, code, historical citations, and style discipline; then /render-html produces a single-file HTML with academic-newspaper template. Output: docs/tutorials/<slug>_tutorial.{md,html,review.json}. Use when the user says '写面试 cheat sheet', '写一份 X 教程', '帮我准备 Y 面试题', '出一份 X 速查', or wants a 600-1000 line Chinese tutorial on a specific ML topic.
ablation-planner
Use when main results pass result-to-claim (`claim_supported = yes` or `partial`) and ablation studies are needed for paper submission. A secondary Codex agent designs ablations from a reviewer's perspective; the local executor reviews feasibility and implements.
alphaxiv
Quick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not for broad literature search.
citation-audit
Zero-context verification that every bibliographic entry in the paper is real, correctly attributed, and used in a context the cited paper actually supports. Uses a fresh cross-model reviewer with web/DBLP/arXiv lookup to catch hallucinated authors, wrong years, fabricated venues, version mismatches, and wrong-context citations (cite present but the cited paper does not establish the claim). Use when user says "审查引用", "check citations", "citation audit", "verify references", "引用核对", or before submission to ensure bibliography integrity.
claims-drafting
Draft patent claims for an invention. Use when user says "撰写权利要求", "draft claims", "写权利要求书", "claim drafting", or wants to create patent claims. The core skill of the patent pipeline.
comm-lit-review-claude-single
Communications-domain literature review with Claude-style knowledge-base-first retrieval. Use when the task is about communications, wireless, networking, satellite/NTN, Wi-Fi, cellular, transport protocols, congestion control, routing, scheduling, MAC/PHY, rate adaptation, channel estimation, beamforming, or communication-system research and the user wants papers, related work, a survey, or a landscape summary. Search Zotero, Obsidian, and local paper folders first when available, then search IEEE Xplore, ScienceDirect, ACM Digital Library, and broader web in that order.
deepxiv
Search and progressively read open-access academic papers through DeepXiv. Use when the user wants layered paper access, section-level reading, trending papers, or DeepXiv-backed literature retrieval.
embodiment-description
Write detailed embodiment descriptions for patent specifications. Use when user says "撰写实施例", "write embodiment", "实施例描述", "detailed description", or wants to describe how to practice an invention.
exa-search
AI-powered web search via Exa with content extraction. Use when user says "exa search", "web search with content", "find similar pages", or needs broad web results beyond academic databases (arXiv, Semantic Scholar).
experiment-audit
Audit experiment integrity before claiming results. Uses cross-model review (external reviewer backend) to check for fake ground truth, score normalization fraud, phantom results, and insufficient scope. Use when user says "审计实验", "check experiment integrity", "audit results", "实验诚实度", or after experiments complete before writing claims.
experiment-queue
SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says "batch experiments", "队列实验", "run grid", "multi-seed sweep", "auto-chain experiments", or when /run-experiment is insufficient for 10+ jobs that need orchestration.
figure-description
Process user-provided patent figures and generate formal drawing descriptions. Use when user says "附图处理", "figure description", "附图说明", "drawings description", or wants to describe patent figures with reference numerals.
figure-spec
Generate deterministic publication-quality architecture, workflow, and pipeline diagrams from structured JSON (FigureSpec) into editable SVG. Use when user says "架构图", "workflow 图", "pipeline 图", "确定性矢量图", "figure spec", "draw architecture", or needs precise, editable, publication-ready vector diagrams. Preferred over AI illustration for formal architecture/workflow figures.
gemini-search
Search research papers via Gemini for broad literature discovery. Use when user says "gemini search", "gemini papers", "search with gemini", or wants AI-powered literature discovery beyond arXiv/Semantic Scholar indexes.
invention-structuring
Structure a raw invention idea into a formal invention disclosure. Use when user says "构建发明", "structure invention", "发明构建", "invention disclosure", or wants to formalize a rough idea into a patent-ready structure.
jurisdiction-format
Compile patent application into jurisdiction-specific filing format. Use when user says "格式转换", "jurisdiction format", "国家格式", "compile patent", or wants formatted patent documents for CN/US/EP filing.
kill-argument
Two-thread adversarial review: a fresh reviewer constructs the strongest 200-word rejection memo, then a second fresh reviewer defends the paper point-by-point and surfaces still-unresolved critical issues. Use when user says "kill argument", "adversarial review", "hostile review", "rebuttal preparation", "reviewer-2 simulation", or before submitting a theory paper that has already passed standard review rounds.
meta-apply
Privileged applier that LANDS meta-optimize / corpus-audit patches the user approved. The ONLY skill permitted to mutate the skill corpus from a self-modification proposal. Runs the cross-model jury AT LANDING (on the staged diff, not a producer-written claim), requires human approval, enforces author≠reviewer family, backs up, applies, stamps provenance, logs. Use when the user says "meta apply", "/meta-apply", "land the staged patches", "应用优化", after a /meta-optimize run.
meta-optimize
Analyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults. Outer-loop harness optimization inspired by Meta-Harness (Lee et al., 2026). Use when user says "优化技能", "meta optimize", "improve skills", "分析使用记录", or wants to optimize ARIS's own harness components based on accumulated experience.
openalex
Search academic papers via OpenAlex API for open citation data, institutional affiliations, and funding information. Use when user says "openalex search", "search openalex", "open citation graph", or wants comprehensive academic metadata beyond arXiv/Semantic Scholar.
overleaf-sync
Two-way sync between a local paper directory and an Overleaf project via the Overleaf Git bridge (Premium feature). Lets you keep ARIS audit/edit workflows on the local copy while collaborators edit in the Overleaf web UI. Token never touches the agent — user does the one-time auth via macOS Keychain. Use when user says "同步 overleaf", "overleaf sync", "推送到 overleaf", "connect overleaf", "Overleaf 桥接", "pull overleaf", "push overleaf", or wants to bridge their ARIS paper directory with an Overleaf project.
paper-claim-audit
Zero-context verification that every number, comparison, and scope claim in the paper matches raw result files. Uses a fresh cross-model reviewer with NO prior context to prevent confirmation bias. Use when user says "审查论文数据", "check paper claims", "verify numbers", "论文数字核对", or before submission to ensure paper-to-evidence fidelity.
paper-illustration-image2
Generate publication-quality academic illustrations through a local Codex app-server bridge that uses Codex native image generation. This is a separate experimental alternative to `paper-illustration`, intended for Claude Code users who want a GPT-image-style renderer without modifying the original skill.
paper-poster
Generate a conference poster (article + tcbposter LaTeX → A0/A1 PDF + editable PPTX + SVG) from a compiled paper. Use when user says "做海报", "制作海报", "conference poster", "make poster", "生成poster", "poster session", or wants to create a poster for a conference presentation.
paper-slides
Generate conference presentation slides (beamer LaTeX → PDF + editable PPTX) from a compiled paper, with speaker notes and full talk script. Use when user says "做PPT", "做幻灯片", "make slides", "conference talk", "presentation slides", "生成slides", "写演讲稿", or wants beamer slides for a conference talk.
paper-talk
End-to-end conference talk pipeline: paper → slide outline → Beamer + PPTX → per-page polish → assurance checks (claim / citation / anonymity) → final export and report. Default-good for academic conference talks (NeurIPS / ICML / ICLR / VALSE / 投稿 talks). Trigger phrases: "做 talk", "做 PPT 全流程", "talk pipeline", "end-to-end slides", "做演讲", "conference talk full workflow". Use when the user wants the complete talk artifact, not just a slide deck.
patent-novelty-check
Assess patent novelty and non-obviousness against prior art. Use when user says "专利查新", "patent novelty", "可专利性评估", "patentability check", or wants to evaluate if an invention is patentable.
research-wiki
Persistent research knowledge base that accumulates papers, ideas, experiments, claims, and their relationships across the entire research lifecycle. Inspired by Karpathy's LLM Wiki pattern. Use when user says "知识库", "research wiki", "add paper", "wiki query", "查知识库", or wants to build/query a persistent field map.
result-to-claim
Use when experiments complete to judge what claims the results support, what they do not, and what evidence is still missing. A secondary Codex agent evaluates results against intended claims and routes to the next action (pivot, supplement, or confirm). Use after experiments finish - before writing the paper or running ablations.
semantic-scholar
Search published venue papers (IEEE, ACM, Springer, etc.) via Semantic Scholar API. Complements /arxiv (preprints) with citation counts, venue metadata, and TLDR. Use when user says "search semantic scholar", "find IEEE papers", "find journal papers", "venue papers", "citation search", or wants published literature beyond arXiv preprints.
serverless-modal
Run GPU workloads on Modal — training, fine-tuning, inference, batch processing. Zero-config serverless: no SSH, no Docker, auto scale-to-zero. Use when user says "modal run", "modal training", "modal inference", "deploy to modal", "need a GPU", "run on modal", "serverless GPU", or needs remote GPU compute.
system-profile
Profile a target (script, process, GPU, memory, interconnect) using external tools and code instrumentation. Produces structured performance reports with actionable recommendations. Use when user says "profile", "benchmark", "bottleneck", or wants performance analysis.
training-check
Periodically check WandB metrics during training to catch problems early (NaN, loss divergence, idle GPUs). Avoids wasting GPU hours on broken runs. Use when training is running and you want automated health checks.
vast-gpu
Rent, manage, and destroy GPU instances on vast.ai. Use when user says "rent gpu", "vast.ai", "rent a server", "cloud gpu", or needs on-demand GPU without owning hardware.
interactive
Ask the user questions or present choices via an interactive form. Use when you need to gather preferences, clarify ambiguous instructions, get decisions on implementation choices, or present a list of options for the user to select from. Never write options or questions as plain text — always use this tool.
interactive-form-question
Ask the user questions or present choices via an interactive form. Use when you need to gather preferences, clarify ambiguous instructions, get decisions on implementation choices, or present a list of options for the user to select from. Never write options or questions as plain text — always use this tool.
subscription-manager
Create and manage scheduled subscription tasks. Use when the user wants to set up recurring reminders, periodic reports, scheduled checks, or any automated tasks that run on a schedule. Supports cron expressions, fixed intervals, and one-time executions.
image-generation
Generate or edit images from text prompts. Use when the user asks to create, draw, design, or edit an image, illustration, photo, icon, poster, or any visual content.
knowledge-wiki
Manage the personal knowledge wiki. Use when the user shares articles, documents, or asks to organize knowledge; when a conversation produces insights worth preserving as structured knowledge; or when the user asks about the knowledge base.
skill-creator
Create, install, or update skills in the workspace. Use when (1) installing a skill from a URL or remote source, (2) creating a new skill from scratch, (3) updating or restructuring existing skills. Always use this skill for any skill installation or creation task.
dataset-transformation
Generates a Jupyter notebook that transforms datasets between ML schemas for model training or evaluation. Use when the user says "transform", "convert", "reformat", "change the format", or when a dataset's schema needs to change to match the target format — always use this skill for format changes rather than writing inline transformation code. Supports OpenAI chat, SageMaker SFT/DPO/RLVR, HuggingFace preference, Bedrock Nova, VERL, and custom JSONL formats from local files or S3.
hue
Meta-skill that generates new design language skills. Works on Claude Code and Codex. Use when the user says 'create a design skill', 'generate design language', 'new design system skill', 'design skill inspired by X', 'design skill from this screenshot', '/hue', or 'use hue'. Also triggers for 'remix my design skill' or 'make my skill more X'.
flow-next-audit
Audit `.flow/memory/` entries against the current codebase and decide Keep / Update / Consolidate / Replace / Delete per entry. Triggers on /flow-next:audit, "audit memory", "review memory", "refresh learnings", "sweep stale memory", "consolidate overlapping memory entries". Optional `mode:autofix` token in arguments runs without questions and marks ambiguous as stale. Optional scope hint after the mode token (concept, category, module, or path) narrows what gets audited.
flow-next-capture
Synthesize the current conversation context into a flow-next spec at `.flow/specs/<spec-id>.md` via `flowctl spec create + spec set-plan` — agent-native, source-tagged, with mandatory read-back before write. Triggers on /flow-next:capture, "capture spec", "lock down what we discussed", "make a spec from this conversation", "convert conversation to spec". Optional `mode:autofix` token runs without questions and requires `--yes` to commit. Optional `--rewrite <spec-id>` overwrites an existing spec; `--from-compacted-ok` overrides the compaction-detection refusal; `--override-strategy` proceeds despite a contradiction with an active STRATEGY.md track (and prompts to record the override as a decision).
flow-next-impl-review
John Carmack-level implementation review via RepoPrompt or Codex. Use when reviewing code changes, PRs, or implementations. Triggers on /flow-next:impl-review.
flow-next-interview
Interview user in-depth about a spec, task, or spec file to extract complete implementation details. Use when user wants to flesh out a spec, refine requirements, or clarify a feature before building. Triggers on /flow-next:interview with Flow IDs (fn-1-add-oauth, fn-1-add-oauth.2, or legacy fn-1, fn-1.2, fn-1-xxx, fn-1-xxx.2) or file paths.
flow-next-make-pr
Render a cognitive-aid PR body from flow-next state and open via gh. Triggers on /flow-next:make-pr with optional spec id and flags (--draft, --ready, --no-mermaid, --base <ref>, --memory, --dry-run). Auto-detects spec from current branch when no id given. NOT Ralph-blocked — autonomous loops can surface a draft PR for human review.
flow-next-map
Wrap `clawpatch map` to produce a semantic feature index of the repo (~20 languages, persisted at `.clawpatch/features/*.json`). Detects install, runs `clawpatch init` when `.clawpatch/` absent, invokes provider-free `clawpatch map --source heuristic` by default; `--source auto|agent` flows through as passthrough. Opt-in enrichment — scouts and prime read the resulting index, but flowctl never depends on clawpatch.
flow-next-memory-migrate
Migrate pre-fn-30 legacy flat memory files (`.flow/memory/pitfalls.md`, `conventions.md`, `decisions.md`) into the categorized YAML schema. Triggers on /flow-next:memory-migrate, "migrate memory", "convert legacy memory", "lift pitfalls into categorized schema", "convert old memory format". Optional `mode:autofix` token in arguments runs without questions and accepts mechanical defaults for ambiguous classifications. Optional scope hint after the mode token narrows the migration to a specific legacy file (e.g. `pitfalls.md`).
flow-next-pilot
Single-tick autonomous build-loop conductor for host drivers (/loop, /goal). Each invocation advances exactly ONE ready spec by ONE pipeline stage (plan, plan-review, work, make-pr) and ends with a terminal PILOT_VERDICT line for the driver to read. Triggers on /flow-next:pilot, optionally with --spec <id>, --dry-run, --review=<backend>, --research=<grep|rp>, --depth=<level>. Autonomous by design — never asks the user questions; reports NEEDS_HUMAN instead.
flow-next-plan
Create structured build plans from feature requests or Flow IDs. Use when planning features or designing implementation. Triggers on /flow-next:plan with text descriptions or Flow IDs (fn-1-add-oauth, fn-1-add-oauth.2, or legacy fn-1, fn-1.2, fn-1-xxx, fn-1-xxx.2).
flow-next-plan-review
Carmack-level plan review via RepoPrompt or Codex. Use when reviewing Flow specs or design docs. Triggers on /flow-next:plan-review.
flow-next-prime
Comprehensive codebase assessment for agent and production readiness. Scans 8 pillars (48 criteria), verifies commands work, checks GitHub settings. Reports everything, fixes agent readiness only. Triggers on /flow-next:prime.
flow-next-prospect
Generate ranked candidate ideas grounded in the repo, upstream of /flow-next:plan. Triggers on /flow-next:prospect with an optional focus hint (concept, path, constraint, or volume).
flow-next-qa
Live-app real-user QA pass derived from the spec. Drives the running app via flow-next-drive, derives scenarios from the spec's AC / R-IDs / boundaries, files structured P0/P1/P2 findings with evidence, and ends with a YES/NO ship verdict receipt. Triggers on /flow-next:qa with a spec id. FORBIDDEN from marking PASS by reading source — the verdict rests on captured evidence from the live app, never on agent narration.
flow-next-ralph-init
Scaffold repo-local Ralph autonomous harness under scripts/ralph/. Use when user runs /flow-next:ralph-init.
flow-next-resolve-pr
Resolve PR review feedback — fetch unresolved threads, triage, dispatch per-thread resolver agents, validate, commit, reply + resolve via GraphQL. Triggers on /flow-next:resolve-pr.
flow-next-spec-completion-review
Spec completion review - verifies all spec tasks implement the spec requirements. Triggers on /flow-next:spec-completion-review.
flow-next-strategy
Create or maintain `STRATEGY.md` — the product's target problem, our approach, who it's for, key metrics, and tracks of work. Use when starting a new product, updating direction, or when prompts like 'write our strategy', 'update the roadmap', 'what are we working on', or 'set up the strategy doc' come up. Also fires when `/flow-next:prospect`, `/flow-next:plan`, `/flow-next:interview`, or `/flow-next:capture` need upstream grounding and no strategy doc exists yet.
flow-next-sync
Manually trigger plan-sync to update downstream task specs after implementation drift. Use when code changes outpace specs.
flow-next-tracker-sync
Project a flow-next spec to a tracker issue (Linear first, GitHub next) and reconcile body/status/comments two-way — projection, not coordination. The spec stays the source of truth; the tracker is a co-editable mirror. Use to configure the bridge (discovery ceremony), link a spec to an issue (flow-first push or tracker-first "grab issue X and spec it"), push/pull/reconcile, or unlink. Triggers on /flow-next:tracker-sync, "sync to linear", "push this spec to the tracker", "grab issue X and spec it", "link this spec to the issue", "reconcile with the tracker". NOT /flow-next:sync (that is plan-sync, a different skill).
flow-next-work
Execute a Flow spec or task systematically with git setup, task tracking, quality checks, and commit workflow. Use when implementing a plan or working through a spec. Triggers on /flow-next:work with Flow IDs (fn-1-add-oauth, fn-1-add-oauth.2, or legacy fn-1, fn-1.2, fn-1-xxx, fn-1-xxx.2).
coding-agents-farm
Orchestrate multiple coding agent farms via CLI (Claude, Codex, Copilot, Gemini, OpenCode, Goose) running in parallel on isolated git worktrees. Farm Leader plans, dispatches, monitors, intervenes, and merges results.
ai-traffic-tracking
When the user wants to track AI search traffic in GA4 or GSC. Also use when the user mentions "AI traffic," "ChatGPT referral," "Perplexity traffic," "AI Overviews," "GA4 AI sources," "AI search analytics," "track AI referrals," "AI search traffic," "Claude traffic," or "how to track AI traffic." For AI SEO strategy, use generative-engine-optimization.
github
When the user wants to use GitHub for SEO, parasite SEO, GEO, open source marketing, README optimization, or curated Awesome lists. Also use when the user mentions "GitHub," "GitHub SEO," "GitHub parasite SEO," "GitHub GEO," "awesome list," "GitHub README," "repository name," "About section," "GitHub description," "GitHub topics," "GitHub Pages," "GitHub gist," "curated list," or "navigation list." Not for Medium or other non-GitHub platforms—use parasite-seo or medium-posts. For OSS business model, use open-source-strategy.
grokipedia-recommendations
When the user wants to add recommendations, links, or content to Grokipedia. Also use when the user mentions "Grokipedia," "GEO wiki," "AI encyclopedia," "suggest Grokipedia article," "Grokipedia citation," "Grokipedia listing," "AI search citation," "GEO visibility," or "Grokipedia optimization." For multi-platform parasite SEO strategy, use parasite-seo. For broad AI search visibility, use generative-engine-optimization.
parasite-seo
When the user wants to choose or execute third-party platform SEO (high-authority sites for rankings or backlinks). Also use when the user mentions "parasite SEO," "parasitic SEO," "barnacle SEO," "hosted content," "third-party publishing," "Medium SEO," "Reddit SEO," "GitHub parasite SEO," "LinkedIn Pulse SEO," "high-authority platforms," "distributed authority," "borrow domain authority," or "rank without own website." For GitHub-specific playbooks, use github. For Medium.com posts, use medium-posts. For Grokipedia, use grokipedia-recommendations. For AI answer-engine visibility (not platform selection), use generative-engine-optimization.
azure-ai
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
capacity
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
customize
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
deploy-model
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
preset
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
aipex-browser
AI-powered browser automation using the AIPex Chrome Extension via MCP bridge. Use this skill when the agent needs to control a Chrome browser — navigating pages, clicking elements, filling forms, capturing screenshots, managing tabs, or downloading content — by connecting to the AIPex MCP bridge.
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends AIPex's capabilities with specialized knowledge, workflows, or tool integrations.
ux-audit-walkthrough
Minimalist UX/Interaction Audit Expert that deconstructs complex interactions through cognitive load and operational efficiency lenses. Use this skill when you need to perform a UX walkthrough audit on a Figma prototype or web interface, evaluating usability based on principles like fewer clicks, less UI elements, no hidden logic, and self-explanatory design.
wcag22-a11y-audit
WCAG 2.2 Accessibility Audit skill that systematically evaluates web pages against 8 core Success Criteria (1.1.1, 1.4.3, 1.4.11, 2.1.1, 2.1.2, 2.4.3, 2.4.7, 4.1.2) using accessibility tree inspection and visual analysis. Use this skill when you need to perform accessibility testing/auditing on a live webpage.
blog-chart
Generate dark-mode-compatible inline SVG data visualization charts for blog posts. Supports horizontal bar, grouped bar, donut, line, lollipop, area, and radar charts with automatic platform detection (HTML vs JSX/MDX). Enforces chart type diversity, accessible markup (role=img, aria-label), source attribution, and transparent backgrounds. Use whenever the user mentions data visualization, charts, graphs, comparison tables that need to be visualized, or wants to embed inline SVG visualizations in a blog post, even if not invoking blog-write. Use when user says "blog chart", "generate chart", "data visualization", "svg chart", "blog graph", "visualize data", or when the blog-write workflow identifies chart-worthy data points (3+ comparable metrics, trends, before/after data).
image-prompting
Use when generating or editing images via `blockrun_image` — especially with GPT Image 2, DALL-E 3, or Flux for posters, UI mockups, marketing assets, product shots, or anything with on-image text. Turns vague user requests ("make me a cool poster") into structured, text-accurate prompts that actually render what you asked for.
daily-coding
Use for everyday coding tasks that involve writing or modifying source code.
agent-recall
Persistent compounding memory for AI agents. 10 MCP tools: session_start, remember, recall, session_end, check, digest, project_board, project_status, bootstrap_scan, bootstrap_import. Correction-first memory with decision trail tracking, watch_for warnings, palace rooms with salience scoring, cross-project insight matching, same-day journal merging, ambient recall hooks. Local markdown only. Zero cloud, zero telemetry, Obsidian-compatible. Optional Supabase backend: when configured via `ar setup supabase`, recall() uses pgvector cosine similarity on OpenAI/Voyage embeddings instead of keyword search — same API, semantic understanding. Gracefully degrades to local search if not configured.
clawhub
Search and install agent skills from ClawHub, the public skill registry.
github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
memory
Two-layer memory system with Dream-managed knowledge files.
summarize
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
weather
Get current weather and forecasts (no API key required).
build-cli
Build the unity-mcp-cli TypeScript CLI tool and link it globally for terminal use.
fine-tuning-expert
Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.
audiocraft-audio-generation
PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.
autogpt-agents
Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.
blip-2-vision-language
Vision-language pre-training framework bridging frozen image encoders and LLMs. Use when you need image captioning, visual question answering, image-text retrieval, or multimodal chat with state-of-the-art zero-shot performance.
clip
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
dspy
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
guidance
Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework
huggingface-tokenizers
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
instructor
Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library
knowledge-distillation
Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. Covers temperature scaling, soft targets, reverse KLD, logit distillation, and MiniLLM training strategies.
langchain
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.
langsmith-observability
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.
llama-cpp
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.
llamaindex
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.
llava
Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.
nemo-evaluator-sdk
Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution. Use when needing scalable evaluation on local Docker, Slurm HPC, or cloud platforms. NVIDIA's enterprise-grade platform with container-first architecture for reproducible benchmarking.
sentence-transformers
Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production embedding generation.
sentencepiece
Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.
serving-llms-vllm
Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.
stable-diffusion-image-generation
State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.
whisper
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.
muapi-media-editing
Edit and enhance images and videos with AI via muapi.ai — prompt-based editing, upscaling, background removal, face swap, lipsync, video effects, and more
code-review
Comprehensive code review assistant that analyzes code quality, security, and best practices
git-commit
Generate well-formatted git commit messages following conventional commit standards
content-moderation-api
Content moderation API integration using OpenAI Moderation, Perspective API, and others
external-tool-coordination
Coordinate external AI tool integration (OpenAI Codex, Google Gemini) for cross-model adversarial review and delegated implementation.
langchain-react-agent
LangChain ReAct agent implementation with tool binding for reasoning and action loops
langfuse-integration
LangFuse LLM observability integration for tracing, analytics, and cost tracking
llamaindex-agent
LlamaIndex agent and query engine setup for RAG-powered agents
opentelemetry-llm
OpenTelemetry instrumentation for LLM applications with distributed tracing
phoenix-arize-setup
Arize Phoenix observability platform setup for LLM debugging and evaluation
rag-embedding-generation
Batch embedding generation with caching, rate limiting, and multiple provider support
semantic-kernel-setup
Microsoft Semantic Kernel planner and plugin setup for orchestrated AI
resume
Resume a paused experiment. Checkout the experiment branch, read results history, continue iterating.
status
Show experiment dashboard with results, active loops, and progress.
voice-agents
Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flow with sub-800ms latency while handling interruptions, background noise, and emotional nuance. This skill covers two architectures: speech-to-speech (OpenAI Realtime API, lowest latency, most natural) and pipeline (STT→LLM→TTS, more control, easier to debug). Key insight: latency is the constraint. Hu
open-notebook
Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis. Use when organizing research materials into notebooks, ingesting diverse content sources (PDFs, videos, audio, web pages, Office documents), generating AI-powered notes and summaries, creating multi-speaker podcasts from research, chatting with documents using context-aware AI, searching across materials with full-text and vector search, or running custom content transformations. Supports 16+ AI providers including OpenAI, Anthropic, Google, Ollama, Groq, and Mistral with complete data privacy through self-hosting.
skill-installer
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
power-automate-monitoring
Monitor Power Automate flow health, track failure rates, and inventory tenant assets using the FlowStudio MCP cached store. The live API only returns top-level run status. Store tools surface aggregated stats, per-run failure details with remediation hints, maker activity, and Power Apps inventory — all from a fast cache with no rate-limit pressure on the PA API. Load this skill when asked to: check flow health, find failing flows, get failure rates, review error trends, list all flows with monitoring enabled, check who built a flow, find inactive makers, inventory Power Apps, see environment or connection counts, get a flow summary, or any tenant-wide health overview. Requires a FlowStudio for Teams or MCP Pro+ subscription — see https://mcp.flowstudio.app
ln-011-agent-installer
Installs or updates Codex CLI, Gemini CLI, and Claude Code. Use when CLI agents need installation or update.
run-agent
Configures and runs agents with different adapters including Claude, OpenAI, CrewAI, Lyzr, and GitHub Models. Supports local execution, remote git repos, and one-shot prompts. Use when the user wants to run an agent, switch LLM providers, configure adapter settings, or launch agents from git repositories.
awt-e2e-testing
AI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g
frontend-design
Design-quality layer for frontend code — typography, color, motion, spatial composition, and avoiding generic "AI slop" aesthetics. Use this as a companion when you are already writing or styling frontend code and want it to look distinctive and production-grade. For building an app, dashboard, tracker, calculator, visualization, landing page, or slide deck the user wants inside the assistant, load `app-builder` instead — it loads this skill itself for the design pass.
vcaudit-context
Audit project context routing, shared-skill discoverability, and Claude/Codex wiring. Use when context docs or skill surfaces move, split, or drift.
vcautoresearch
Autonomous iterative optimization loop for measurable metrics like coverage, performance, or bundle size. Use when repeated experiments can be judged by a mechanical score.
vccontext-engineering
Check context limits, optimize token usage, and debug context failures. Use when asking about rate limits, usage warnings, memory systems, or context-aware agent design.
vcdocs-seeker
Search library/framework documentation via llms.txt (context7.com). Use for API docs, GitHub repository analysis, technical documentation lookup, latest library features.
vcfrontend-design
Create polished frontend interfaces from designs/screenshots/videos. Use for web components, 3D experiences, replicating UI designs, quick prototypes, immersive interfaces, avoiding AI slop.
vcgenerate-plan
Create or update implementation plans in the repo's SIMPLE or COMPLEX format. Use when turning an idea, PRD, or approved direction into a saved plan artifact.
vcpredict
5 expert personas debate proposed changes before implementation. Catches architectural, security, performance, and UX issues early. Use before major features or risky changes.
vcpreview
Use when you need to inspect files or generate visual explanations, slides, diagrams, or HTML recaps.
vcproblem-solving
Apply systematic problem-solving techniques when stuck. Use for complexity spirals, innovation blocks, recurring patterns, assumption constraints, simplification cascades, scale uncertainty.
vcpublish
Push agent harness improvements from the current development repo to the remote kit repository. Use when you want to publish local harness changes back to the shared kit. Diffs managed files, shows what changed, bumps version, and pushes.
vcscenario
Generate comprehensive edge cases and test scenarios by decomposing features across 12 dimensions. Use before implementation or testing to catch issues early.
vcscout
Fast codebase scouting using shell search and optional parallel research agents. Use for file discovery, task context gathering, and quick scoped searches across directories.
vcsecurity
STRIDE + OWASP-based security audit with optional auto-fix. Scans code for vulnerabilities, categorizes by severity, and can iteratively fix findings using vc:autoresearch pattern.
vcsetup
Interactive agent harness setup for any project. Detects your stack, asks about your project, scaffolds process directories, deep-scans the codebase, and populates context with real content. Works on fresh projects and existing projects with pre-existing configs — always asks before reorganizing.
vcteam
Orchestrate Agent Teams for parallel multi-session collaboration. Use for research, implementation, review, and debug workflows requiring independent teammates.
vcupdate
Pull latest agent harness improvements from the remote kit repository. Shows a dry-run diff summary, waits for confirmation, then applies updates.
story-cover
小说封面生成。根据书名、作者名自动分析题材风格，调用 GPT-Image-2 直接生成含标题和署名的专业级网文封面。 触发方式：/story-cover、/封面、「帮我做个封面」「生成封面图」「做个小说封面」「封面设计」
json-canvas
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.
obsidian-bases
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
obsidian-cli
Interact with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more. Also supports plugin and theme development with commands to reload plugins, run JavaScript, capture errors, take screenshots, and inspect the DOM. Use when the user asks to interact with their Obsidian vault, manage notes, search vault content, perform vault operations from the command line, or develop and debug Obsidian plugins and themes.
obsidian-markdown
Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.
obsidian-project-bootstrap
This skill should be used when the user asks to start a new research project, import an existing code-plus-Markdown repository into Obsidian, or bind the current repository to a compact research knowledge base for future syncing.
obsidian-project-memory
This skill should be used when the user asks to maintain an Obsidian knowledge base for a research project, import an existing research repository into Obsidian, keep project memory or daily notes synchronized, summarize project context into durable notes, or update experiments, results, papers, writing, and plans in an Obsidian vault without requiring MCP.
image-generation
Generate images and iteratively edit saved image artifacts.
long-goal
Sustained objectives via long_task / complete_goal — idempotent goal wording, project-style modular work, early web/doc research, Runtime Context metadata.
skill-creator
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
assets-copy
Copy assets at given paths and store them at new paths. Refreshes the AssetDatabase at the end. Use 'assets-find' to locate the source assets first.
assets-create-folder
Create a new folder under a parent folder inside 'Assets/'. The parent path must start with 'Assets/' and every intermediate folder in it must already exist. Refreshes the AssetDatabase at the end and returns the GUID(s) of the created folder(s).
assets-delete
Delete the assets at the given project paths. Refreshes the AssetDatabase at the end. Use 'assets-find' to locate the assets first.
assets-find
Search the Unity asset database using a search filter string. The filter accepts names, labels (`l:`), types (`t:`), AssetBundles (`b:`), areas (`a:`), and globs (`glob:`). See the body for the full filter syntax.
assets-find-built-in
Search the built-in assets of the Unity Editor (located at Resources/unity_builtin_extra). Filters by name and/or type; built-in assets have no GUID so GUID-based lookups are not supported.
assets-get-data
Get asset data from the asset file in the Unity project — every serializable field and property. Supports token-saving path-scoped reads via `paths` or `viewQuery`. Use 'assets-find' to find the asset first.
assets-material-create
Create a new Material asset with default parameters at a given 'Assets/'-rooted path ending in '.mat'. Creates intermediate folders if missing. Use 'assets-shader-list-all' to find a valid `shaderName`.
assets-modify
Modify an asset file in the project. Use 'assets-get-data' first to inspect the asset structure before modifying. Not allowed to modify asset files in the 'Packages/' folder — modify them in 'Assets/'. Three modification surfaces are available (content, pathPatches, jsonPatch) — see the skill body for details.
assets-move
Move or rename assets at the given project paths. Refreshes the AssetDatabase at the end. Use 'assets-find' to locate the assets first.
assets-prefab-close
Close the currently opened prefab edit stage. Optionally saves changes back to the prefab asset before closing. Pair with 'assets-prefab-open' to enter the edit mode first.
assets-prefab-create
Create a Prefab (or Prefab Variant) at a project asset path. Source can be a scene GameObject (`gameObjectRef`) or an existing prefab asset (`sourcePrefabAssetPath`). Creates intermediate folders if missing. Use 'gameobject-find' to locate the source GameObject first.
assets-prefab-instantiate
Instantiate a prefab into the currently active scene at an optional position/rotation/scale, parented under an optional scene GameObject path. Use 'assets-find' to locate the prefab asset first.
assets-prefab-open
Open the prefab edit stage for a prefab instance or prefab asset GameObject. Modifications inside the edit stage propagate to all instances. Pair with 'assets-prefab-close' to exit the stage when done.
assets-prefab-save
Save the currently opened prefab edit stage back to its prefab asset without exiting the stage. Pair with 'assets-prefab-open' to enter the edit mode first.
assets-refresh
Refresh the Unity AssetDatabase. Use after files were added or updated outside of the Unity API, or to force script recompilation when a '.cs' file changed. Returns a processing/success response and waits for compilation when triggered.
assets-shader-get-data
Get detailed data about a shader asset — properties, subshaders, passes, compilation messages, and supported status. Supports token-saving path-scoped reads via `paths` or `viewQuery`. Use 'assets-find' with `t:Shader` or 'assets-shader-list-all' to locate the shader first.
console-get-logs
Retrieve Unity Editor logs from the MCP plugin's `LogCollector`, optionally filtered by log type or time window. Useful for debugging and monitoring Editor activity.
editor-application-get-state
Return the current state of `UnityEditor.EditorApplication` — playmode, paused state, compilation state, and related flags.
editor-application-set-state
Start / stop / pause the Unity Editor 'playmode'. Use 'editor-application-get-state' to inspect the current state first. Throws if the project currently has compilation errors.
editor-selection-get
Get information about the current Selection in the Unity Editor — active object, active transform, selected GameObjects, transforms, instance IDs, and asset GUIDs (each enrichment is opt-in). Pair with 'editor-selection-set' to change the selection.
editor-selection-set
Set the current Selection in the Unity Editor to the provided objects. All `ObjectRef`s must resolve to existing Unity objects; otherwise the call throws. Use 'editor-selection-get' to inspect the current selection first.
gameobject-component-add
Add one or more Components to a GameObject in the opened Prefab or active Scene. Component types are looked up by full name (with namespace) or by class-name fallback. Use 'gameobject-find' to locate the host GameObject and 'gameobject-component-list-all' to discover valid component type names.
gameobject-component-destroy
Destroy one or more Components from a target GameObject. Missing (null) components are skipped — they cannot be destroyed. Use 'gameobject-find' and 'gameobject-component-get' to identify the components first.
gameobject-component-get
Get detailed information about a specific Component on a GameObject — type, enabled state, and (optionally) serialized fields and properties. Supports token-saving path-scoped reads via `paths` or `viewQuery`. Use 'gameobject-find' to list components first.
gameobject-component-list-all
List the fully-qualified C# type names of every concrete `UnityEngine.Component` subclass available in the project. Paginated (default 5/page, max 500). Use this to find a valid `componentName` for 'gameobject-component-add'.
gameobject-component-modify
Modify a specific Component on a GameObject in opened Prefab or in a Scene. Allows direct modification of component fields and properties without wrapping in GameObject structure. Use 'gameobject-component-get' first to inspect the component structure before modifying. Three modification surfaces are available (componentDiff, pathPatches, jsonPatch) — see the skill body for details.
gameobject-create
Create a new GameObject in the currently opened Prefab or active Scene, optionally parented under another GameObject and pre-positioned. Pass `primitiveType` to spawn a Unity primitive (Cube, Sphere, etc.) instead of an empty GameObject.
gameobject-destroy
Destroy a GameObject (and all nested children) in the currently opened Prefab or active Scene. Returns the destroyed GameObject's name, path, and instance ID for confirmation. Use 'gameobject-find' to locate the target first.
gameobject-duplicate
Duplicate a batch of GameObjects in the currently opened Prefab or active Scene. Marks each affected scene as dirty after duplication. Use 'gameobject-find' to locate the source GameObjects first.
gameobject-find
Find a specific GameObject in the opened Prefab (preferred when present) or the active Scene. Optionally include editable data, components preview, bounds, and limited hierarchy. Supports token-saving path-scoped reads via `paths` or `viewQuery`.
gameobject-modify
Modify GameObject fields and properties in opened Prefab or in a Scene. You can modify multiple GameObjects at once. Just provide the same number of GameObject references and SerializedMember objects. Three modification surfaces are available per GameObject (gameObjectDiffs, pathPatchesPerGameObject, jsonPatchesPerGameObject) — see the skill body for details.
gameobject-set-parent
Reparent a batch of GameObjects under a new parent in the currently opened Prefab or active Scene. Per-item failures are reported in the returned status string instead of aborting the batch. Use 'gameobject-find' to locate the GameObjects first.
object-get-data
Get serialized data for a Unity `UnityEngine.Object` — all serializable fields and properties. Supports token-saving path-scoped reads via `paths` or `viewQuery`. Pair with 'object-modify' when you need to write back.
object-modify
Modify a Unity `UnityEngine.Object`'s serializable fields/properties. Three modification surfaces are available (`objectDiff`, `pathPatches`, `jsonPatch`) — see the skill body. Use 'object-get-data' first to inspect the object structure.
package-add
Install a Unity package from the registry, a Git URL, or a local path. Modifies `manifest.json` and triggers package resolution; may also trigger a domain reload — the final result is delivered after the reload via the request's `requestId`. Use 'package-search' / 'package-list' for discovery first.
package-list
List all UPM packages installed in the Unity project — name, version, source, description. Optionally filter by source (registry, embedded, local, git, built-in, local tarball), by name/display/description substring, and by direct-dependency-only.
package-remove
Uninstall a UPM package from the Unity project. Modifies `manifest.json` and may trigger a domain reload — the final result is delivered after the reload via the request's `requestId`. Built-in packages and packages that are dependencies of others cannot be removed. Use 'package-list' to list installed packages first.
package-search
Search Unity's package registry plus locally installed packages (Git, local, embedded sources) by query string. Returns available versions and installation status. Online mode fetches exact matches from the live registry then supplements with cached substring matches.
profiler-capture-frame
Capture the current frame's timing info (delta time, FPS, frame counts, runtime). Snapshot only — historical frames live in Unity's Profiler window.
profiler-get-memory-stats
Return memory statistics snapshot from UnityEngine.Profiling.Profiler — reserved, allocated, mono heap, graphics, etc. (in MB).
profiler-get-rendering-stats
Return current frame timing, FPS, vsync, target frame rate, threading mode, and graphics device type from Unity Time / QualitySettings / SystemInfo.
profiler-get-script-stats
Return script execution timing (frame time, fixed dt, time scale, frame count, runtime) plus Mono / GC memory usage in MB.
profiler-get-status
Return the Unity profiler's current enabled state, active modules, max-used memory, and platform support flag. Read-only.
1password
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
3-statement-model
Build fully-integrated 3-statement models (IS, BS, CF) in Excel with working capital schedules, D&A roll-forwards, debt schedule, and the plugs that make cash and retained earnings tie. Pairs with excel-author.
adversarial-ux-test
Roleplay the most difficult, tech-resistant user for your product. Browse the app as that persona, find every UX pain point, then filter complaints through a pragmatism layer to separate real problems from noise. Creates actionable tickets from genuine issues only.
agentmail
Give the agent its own dedicated email inbox via AgentMail. Send, receive, and manage email autonomously using agent-owned email addresses (e.g. hermes-agent@agentmail.to).
antigravity-cli
Operate the Antigravity CLI (agy): plugins, auth, sandbox.
apple-reminders
Manage Apple Reminders via remindctl CLI (list, add, complete, delete).
arxiv
Search and retrieve academic papers from arXiv using their free REST API. No API key needed. Search by keyword, author, category, or ID. Combine with web_extract or the ocr-and-documents skill to read full paper content.
ascii-art
Generate ASCII art using pyfiglet (571 fonts), cowsay, boxes, toilet, image-to-ascii, remote APIs (asciified, ascii.co.uk), and LLM fallback. No API keys required.
audiocraft-audio-generation
PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.
axolotl
Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
baoyu-article-illustrator
Article illustrations: type × style × palette consistency.
baoyu-comic
Knowledge comics (知识漫画): educational, biography, tutorial.
base
Query Base (Ethereum L2) blockchain data with USD pricing — wallet balances, token info, transaction details, gas analysis, contract inspection, whale detection, and live network stats. Uses Base RPC + CoinGecko. No API key required.
bioinformatics
Gateway to 400+ bioinformatics skills from bioSkills and ClawBio. Covers genomics, transcriptomics, single-cell, variant calling, pharmacogenomics, metagenomics, structural biology, and more. Fetches domain-specific reference material on demand.
blackbox
Delegate coding tasks to Blackbox AI CLI agent. Multi-model agent with built-in judge that runs tasks through multiple LLMs and picks the best result. Requires the blackbox CLI and a Blackbox AI API key.
blender-mcp
Control Blender directly from Hermes via socket connection to the blender-mcp addon. Create 3D objects, materials, animations, and run arbitrary Blender Python (bpy) code. Use when user wants to create or modify anything in Blender.
blogwatcher
Monitor blogs and RSS/Atom feeds for updates using the blogwatcher-cli tool. Add blogs, scan for new articles, track read status, and filter by category.
canvas
Canvas LMS integration — fetch enrolled courses and assignments using API token authentication.
chroma
Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source projects.
claude-code
Delegate coding tasks to Claude Code (Anthropic's CLI agent). Use for building features, refactoring, PR reviews, and iterative coding. Requires the claude CLI installed.
clip
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
codebase-inspection
Inspect and analyze codebases using pygount for LOC counting, language breakdown, and code-vs-comment ratios. Use when asked to check lines of code, repo size, language composition, or codebase stats.
codex
Delegate coding tasks to OpenAI Codex CLI agent. Use for building features, refactoring, PR reviews, and batch issue fixing. Requires the codex CLI and a git repository.
comps-analysis
Build comparable company analysis in Excel — operating metrics, valuation multiples, statistical benchmarking vs peer sets. Pairs with excel-author. Use for public-company valuation, IPO pricing, sector benchmarking, or outlier detection.
concept-diagrams
Generate flat, minimal light/dark-aware SVG diagrams as standalone HTML files, using a unified educational visual language with 9 semantic color ramps, sentence-case typography, and automatic dark mode. Best suited for educational and non-software visuals — physics setups, chemistry mechanisms, math curves, physical objects (aircraft, turbines, smartphones, mechanical watches), anatomy, floor plans, cross-sections, narrative journeys (lifecycle of X, process of Y), hub-spoke system integrations (smart city, IoT), and exploded layer views. If a more specialized skill exists for the subject (dedicated software/cloud architecture, hand-drawn sketches, animated explainers, etc.), prefer that — otherwise this skill can also serve as a general-purpose SVG diagram fallback with a clean educational look. Ships with 15 example diagrams.
dcf-model
Build institutional-quality DCF valuation models in Excel — revenue projections, FCF build, WACC, terminal value, Bear/Base/Bull scenarios, 5x5 sensitivity tables. Pairs with excel-author. Use for intrinsic-value equity analysis.
distributed-llm-pretraining-torchtitan
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.
dspy
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
duckduckgo-search
Free web search via DuckDuckGo — text, news, images, videos. No API key needed. Prefer the `ddgs` CLI when installed; use the Python DDGS library only after verifying that `ddgs` is available in the current runtime.
evaluating-llms-harness
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.
evm
Read-only EVM client: wallets, tokens, gas across 8 chains.
excalidraw
Create hand-drawn style diagrams using Excalidraw JSON format. Generate .excalidraw files for architecture diagrams, flowcharts, sequence diagrams, concept maps, and more. Files can be opened at excalidraw.com or uploaded for shareable links.
excel-author
Build auditable Excel workbooks headless with openpyxl — blue/black/green cell conventions, formulas over hardcodes, named ranges, balance checks, sensitivity tables. Use for financial models, audit outputs, reconciliations.
faiss
Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.
fastmcp
Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cursor, or HTTP deployment.
findmy
Track Apple devices and AirTags via FindMy.app on macOS using AppleScript and screen capture.
fine-tuning-with-trl
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.
fitness-nutrition
Gym workout planner and nutrition tracker. Search 690+ exercises by muscle, equipment, or category via wger. Look up macros and calories for 380,000+ foods via USDA FoodData Central. Compute BMI, TDEE, one-rep max, macro splits, and body fat — pure Python, no pip installs. Built for anyone chasing gains, cutting weight, or just trying to eat better.
gguf-quantization
GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.
gif-search
Search and download GIFs from Tenor using curl. No dependencies beyond curl and jq. Useful for finding reaction GIFs, creating visual content, and sending GIFs in chat.
github-auth
Set up GitHub authentication for the agent using git (universally available) or the gh CLI. Covers HTTPS tokens, SSH keys, credential helpers, and gh auth — with a detection flow to pick the right method automatically.
github-code-review
Review code changes by analyzing git diffs, leaving inline comments on PRs, and performing thorough pre-push review. Works with gh CLI or falls back to git + GitHub REST API via curl.
github-issues
Create, manage, triage, and close GitHub issues. Search existing issues, add labels, assign people, and link to PRs. Works with gh CLI or falls back to git + GitHub REST API via curl.
github-pr-workflow
Full pull request lifecycle — create branches, commit changes, open PRs, monitor CI status, auto-fix failures, and merge. Works with gh CLI or falls back to git + GitHub REST API via curl.
gitnexus-explorer
Index a codebase with GitNexus and serve an interactive knowledge graph via web UI + Cloudflare tunnel.
godmode
Jailbreak API-served LLMs using G0DM0D3 techniques — Parseltongue input obfuscation (33 techniques), GODMODE CLASSIC system prompt templates, ULTRAPLINIAN multi-model racing, encoding escalation, and Hermes-native prefill/system prompt integration. Use when a user wants to bypass safety filters, jailbreak a model, or red-team model robustness.
google-workspace
Gmail, Calendar, Drive, Contacts, Sheets, and Docs integration via gws CLI (googleworkspace/cli). Uses OAuth2 with automatic token refresh via bridge script. Requires gws binary.
grok
Delegate coding to xAI Grok Build CLI (features, PRs).
grpo-rl-training
Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training
guidance
Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework
hermes-agent
Complete guide to using and extending Hermes Agent — CLI usage, setup, configuration, spawning additional agents, gateway platforms, skills, voice, tools, profiles, and a concise contributor reference. Load this skill when helping users configure Hermes, troubleshoot issues, spawn agent instances, or make code contributions.
hermes-atropos-environments
Build, test, and debug Hermes Agent RL environments for Atropos training. Covers the HermesAgentBaseEnv interface, reward functions, agent loop integration, evaluation with tools, wandb logging, and the three CLI modes (serve/process/evaluate). Use when creating, reviewing, or fixing RL environments in the hermes-agent repo.
hermes-s6-container-supervision
Modify, debug, or extend the s6-overlay supervision tree inside the Hermes Agent Docker image — adding new services, debugging profile gateways, understanding the Architecture B main-program pattern.
himalaya
CLI to manage emails via IMAP/SMTP. Use himalaya to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).
honcho
Configure and use Honcho memory with Hermes -- cross-session user modeling, multi-profile peer isolation, observation config, dialectic reasoning, session summaries, and context budget enforcement. Use when setting up Honcho, troubleshooting memory, managing profiles with Honcho peers, or tuning observation, recall, and dialectic settings.
huggingface-accelerate
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.
huggingface-hub
Hugging Face Hub CLI (hf) — search, download, and upload models and datasets, manage repos, query datasets with SQL, deploy inference endpoints, manage Spaces and buckets.
huggingface-tokenizers
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
hyperframes
Create HTML-based video compositions, animated title cards, social overlays, captioned talking-head videos, audio-reactive visuals, and shader transitions using HyperFrames. HTML is the source of truth for video. Use when the user wants a rendered MP4/WebM from an HTML composition, wants to animate text/logos/charts over media, needs captions synced to audio, wants TTS narration, or wants to convert a website into a video.
hyperliquid
Hyperliquid market data, account history, trade review.
imessage
Send and receive iMessages/SMS via the imsg CLI on macOS.
inference-sh-cli
Run 150+ AI apps via inference.sh CLI (infsh) — image generation, video creation, LLMs, search, 3D, social automation. Uses the terminal tool. Triggers: inference.sh, infsh, ai apps, flux, veo, image generation, video generation, seedream, seedance, tavily
instructor
Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library
jupyter-live-kernel
Use a live Jupyter kernel for stateful, iterative Python execution via hamelnb. Load this skill when the task involves exploration, iteration, or inspecting intermediate results — data science, ML experimentation, API exploration, or building up complex code step-by-step. Uses terminal to run CLI commands against a live Jupyter kernel. No new tools required.
kanban-video-orchestrator
Plan, set up, and monitor a multi-agent video production pipeline backed by Hermes Kanban. Use when the user wants to make ANY video — narrative film, product/marketing, music video, explainer, ASCII/terminal art, abstract/generative loop, comic, 3D, real-time/installation — and the work warrants decomposition into specialized profiles (writer, designer, animator, renderer, voice, editor, etc.) coordinated through a kanban board. Performs adaptive discovery to scope the brief, designs an appropriate team for the requested style, generates the setup script that creates Hermes profiles + initial kanban task, then helps monitor execution and intervene when tasks stall or fail. Routes scenes to whichever Hermes rendering / audio / design skill fits each beat (`ascii-video`, `manim-video`, `p5js`, `comfyui`, `touchdesigner-mcp`, `blender-mcp`, `pixel-art`, `baoyu-comic`, `claude-design`, `excalidraw`, `songsee`, `heartmula`, …) plus external APIs for TTS, image-gen, and image-to-video as needed.
lambda-labs-gpu-cloud
Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.
lbo-model
Build leveraged buyout models in Excel — sources & uses, debt schedule, cash sweep, exit multiple, IRR/MOIC sensitivity. Pairs with excel-author. Use for PE screening, sponsor-case valuation, or illustrative LBO in a pitch.
linear
Manage Linear issues, projects, and teams via the GraphQL API. Create, update, search, and organize issues. Uses API key auth (no OAuth needed). All operations via curl — no dependencies.
llama-cpp
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.
llava
Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.
llm-wiki
Karpathy's LLM Wiki — build and maintain a persistent, interlinked markdown knowledge base. Ingest sources, query compiled knowledge, and lint for consistency.
mcporter
Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.
meme-generation
Generate real meme images by picking a template and overlaying text with Pillow. Produces actual .png meme files.
memento-flashcards
Spaced-repetition flashcard system. Create cards from facts or text, chat with flashcards using free-text answers graded by the agent, generate quizzes from YouTube transcripts, review due cards with adaptive scheduling, and export/import decks as CSV.
merger-model
Build accretion/dilution (merger) models in Excel — pro-forma P&L, synergies, financing mix, EPS impact. Pairs with excel-author. Use for M&A pitches, board materials, or deal evaluation.
modal-serverless-gpu
Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
native-mcp
Built-in MCP (Model Context Protocol) client that connects to external MCP servers, discovers their tools, and registers them as native Hermes Agent tools. Supports stdio and HTTP transports with automatic reconnection, security filtering, and zero-config tool injection.
nemo-curator
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.
neuroskill-bci
Connect to a running NeuroSkill instance and incorporate the user's real-time cognitive and emotional state (focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, sleep staging, and 40+ derived EXG scores) into responses. Requires a BCI wearable (Muse 2/S or OpenBCI) and the NeuroSkill desktop app running locally.
notion
Notion API for creating and managing pages, databases, and blocks via curl. Search, create, update, and query Notion workspaces directly from the terminal.
obliteratus
Remove refusal behaviors from open-weight LLMs using OBLITERATUS — mechanistic interpretability techniques (diff-in-means, SVD, whitened SVD, LEACE, SAE decomposition, etc.) to excise guardrails while preserving reasoning. 9 CLI methods, 28 analysis modules, 116 model presets across 5 compute tiers, tournament evaluation, and telemetry-driven recommendations. Use when a user wants to uncensor, abliterate, or remove refusal from an LLM.
ocr-and-documents
Extract text from PDFs and scanned documents. Use web_extract for remote URLs, pymupdf for local text-based PDFs, marker-pdf for OCR/scanned docs. For DOCX use python-docx, for PPTX see the powerpoint skill.
one-three-one-rule
Structured decision-making framework for technical proposals and trade-off analysis. When the user faces a choice between multiple approaches (architecture decisions, tool selection, refactoring strategies, migration paths), this skill produces a 1-3-1 format: one clear problem statement, three distinct options with pros/cons, and one concrete recommendation with definition of done and implementation plan. Use when the user asks for a "1-3-1", says "give me options", or needs help choosing between competing approaches.
openclaw-migration
Migrate a user's OpenClaw customization footprint into Hermes Agent. Imports Hermes-compatible memories, SOUL.md, command allowlists, user skills, and selected workspace assets from ~/.openclaw, then reports exactly what could not be migrated and why.
opencode
Delegate coding tasks to OpenCode CLI agent for feature implementation, refactoring, PR review, and long-running autonomous sessions. Requires the opencode CLI installed and authenticated.
openhands
Delegate coding to OpenHands CLI (model-agnostic, LiteLLM).
openhue
Control Philips Hue lights, rooms, and scenes via the OpenHue CLI. Turn lights on/off, adjust brightness, color, color temperature, and activate scenes.
optimizing-attention-flash
Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.
oss-forensics
Supply chain investigation, evidence recovery, and forensic analysis for GitHub repositories. Covers deleted commit recovery, force-push detection, IOC extraction, multi-source evidence collection, hypothesis formation/validation, and structured forensic reporting. Inspired by RAPTOR's 1800+ line OSS Forensics system.
outlines
Outlines: structured JSON/regex/Pydantic LLM generation.
parallel-cli
Optional vendor skill for Parallel CLI — agent-native web search, extraction, deep research, enrichment, FindAll, and monitoring. Prefer JSON output and non-interactive flows.
peft-fine-tuning
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.
pinecone
Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.
pinggy-tunnel
Zero-install localhost tunnels over SSH via Pinggy.
polymarket
Query Polymarket prediction market data — search markets, get prices, orderbooks, and price history. Read-only via public REST APIs, no API key needed.
popular-web-designs
54 production-quality design systems extracted from real websites. Load a template to generate HTML/CSS that matches the visual identity of sites like Stripe, Linear, Vercel, Notion, Airbnb, and more. Each template includes colors, typography, components, layout rules, and ready-to-use CSS values.
pptx-author
Build PowerPoint decks headless with python-pptx. Pairs with excel-author for model-backed decks where every number traces to a workbook cell. Use for pitch decks, IC memos, earnings notes.
pytorch-fsdp
Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2
pytorch-lightning
High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.
qdrant-vector-search
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
qmd
Search personal knowledge bases, notes, docs, and meeting transcripts locally using qmd — a hybrid retrieval engine with BM25, vector search, and LLM reranking. Supports CLI and MCP integration.
requesting-code-review
Pre-commit verification pipeline — static security scan, baseline-aware quality gates, independent reviewer subagent, and auto-fix loop. Use after code changes and before committing, pushing, or opening a PR.
research-paper-writing
End-to-end pipeline for writing ML/AI research papers — from experiment design through analysis, drafting, revision, and submission. Covers NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Integrates automated experiment monitoring, statistical analysis, iterative writing, and citation verification.
scrapling
Web scraping with Scrapling - HTTP fetching, stealth browser automation, Cloudflare bypass, and spider crawling via CLI and Python.
segment-anything-model
Foundation model for image segmentation with zero-shot transfer. Use when you need to segment any object in images using points, boxes, or masks as prompts, or automatically generate all object masks in an image.
serving-llms-vllm
Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.
sherlock
OSINT username search across 400+ social networks. Hunt down social media accounts by username.
simpo-training
Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model needed, more efficient than DPO. Use for preference alignment when want simpler, faster training than DPO/PPO.
siyuan
SiYuan Note API for searching, reading, creating, and managing blocks and documents in a self-hosted knowledge base via curl.
slime-rl-training
Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.
solana
Query Solana blockchain data with USD pricing — wallet balances, token portfolios with values, transaction details, NFTs, whale detection, and live network stats. Uses Solana RPC + CoinGecko. No API key required.
sparse-autoencoder-training
Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.
stable-diffusion-image-generation
State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.
stocks
Stock quotes, history, search, compare, crypto via Yahoo.
subagent-driven-development
Use when executing implementation plans with independent tasks. Dispatches fresh delegate_task per task with two-stage review (spec compliance then code quality).
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior. 4-phase root cause investigation — NO fixes without understanding the problem first.
telephony
Give Hermes phone capabilities without core tool changes. Provision and persist a Twilio number, send and receive SMS/MMS, make direct calls, and place AI-driven outbound calls through Bland.ai or Vapi.
tensorrt-llm
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code. Enforces RED-GREEN-REFACTOR cycle with test-first approach.
watchers
Poll RSS, JSON APIs, and GitHub with watermark dedup.
weights-and-biases
Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform
whisper
OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.
writing-plans
Use when you have a spec or requirements for a multi-step task. Creates comprehensive implementation plans with bite-sized tasks, exact file paths, and complete code examples.
xitter
Interact with X/Twitter via the x-cli terminal client using official X API credentials. Use for posting, reading timelines, searching tweets, liking, retweeting, bookmarks, mentions, and user lookups.
deepchat-release
Prepare and publish DeepChat releases in this repository. Use when Codex needs to bump the app version, update CHANGELOG.md, keep release notes bilingual from v1.0.1 onward with English bullets first and Chinese bullets second, run release checks, create or update versioned release branches such as release/v1.0.1, continue a half-finished release, fast-forward main with the documented release flow, create or push version tags, or clean up release branches after publishing.
doc-coauthoring
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
security-review
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
security-review
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
a11y-audit
Accessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.
aeo
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
agent-designer
Use when the user asks to design multi-agent systems, create agent architectures, define agent communication patterns, or build autonomous agent workflows.
ai-act-readiness
/cs:ai-act-readiness <system> — EU AI Act 6-question forcing interrogation. Use during AI-system intake, before EU deployment, or during annual compliance refresh as Article 113 obligations phase in (2025-02-02 / 2025-08-02 / 2026-08-02 / 2027-08-02).
ai-security
Use when assessing AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, or agent tool abuse. Covers MITRE ATLAS technique mapping, injection signature detection, and adversarial robustness scoring.
aims-audit
/cs:aims-audit <scope> — ISO/IEC 42001 AIMS internal-audit 6-question forcing interrogation. Use before certification stage 1, before annual internal audit cycles, or when onboarding a new AI system into an existing AIMS.
api-test-suite-builder
Use when the user asks to generate API tests, create integration test suites, test REST endpoints, or build contract tests.
atlassian-admin
Atlassian Administrator for managing and organizing Atlassian products (Jira, Confluence, Bitbucket, Trello), users, permissions, security, integrations, system configuration, and org-wide governance. Use when asked to add users to Jira, change Confluence permissions, configure access control, update admin settings, manage Atlassian groups, set up SSO, install marketplace apps, review security policies, or handle any org-wide Atlassian administration task.
atlassian-templates
Atlassian Template and Files Creator/Modifier expert for creating, modifying, and managing Jira and Confluence templates, blueprints, custom layouts, reusable components, and standardized content structures. Use when building org-wide templates, custom blueprints, page layouts, and automated content generation.
azure-cloud-architect
Design Azure architectures for startups and enterprises. Use when asked to design Azure infrastructure, create Bicep/ARM templates, optimize Azure costs, set up Azure DevOps pipelines, or migrate to Azure. Covers AKS, App Service, Azure Functions, Cosmos DB, and cost optimization.
behuman
Use when the user wants more human-like AI responses — less robotic, less listy, more authentic. Triggers: 'behuman', 'be real', 'like a human', 'more human', 'less AI', 'talk like a person', 'mirror mode', 'stop being so AI', or when conversations are emotionally charged (grief, job loss, relationship advice, fear). NOT for technical questions, code generation, or factual lookups.
boardroom
/cs:boardroom <brief> — 6-phase multi-role deliberation across the C-suite with Phase 2 isolation, critic pre-screen, and synthesis. Outputs a board memo.
brief
/cs:brief <topic> — Generate a one-page strategy brief from an office-hours intake. First step in the strategic sprint pipeline.
browser-automation
Use when the user asks to automate browser tasks, scrape websites, fill forms, capture screenshots, extract structured data from web pages, or build web automation workflows. NOT for testing — use playwright-pro for that.
browserstack
Run tests on BrowserStack. Use when user mentions "browserstack", "cross-browser", "cloud testing", "browser matrix", "test on safari", "test on firefox", or "browser compatibility".
business-investment-advisor
Business investment analysis and capital allocation advisor. Use when evaluating whether to invest in equipment, real estate, a new business, hiring, technology, or any capital expenditure. Also use for ROI calculations, IRR, NPV, payback period, build vs buy decisions, lease vs buy analysis, vendor evaluation, or deciding where to allocate limited budget for maximum return.
caio-review
/cs:caio-review <plan> — Eval-demanding Chief AI Officer interrogation of any plan that involves AI: model selection, risk classification, cost economics, or AI hiring.
cco-review
/cs:cco-review <plan> — Retention-obsessed Chief Customer Officer interrogation of any plan that touches customer retention, segmentation, CS team sizing, or CS team hiring.
cdo-review
/cs:cdo-review <plan> — Decision-driven Chief Data Officer interrogation of any plan that touches training data, data architecture, data productization, or data team hiring.
cfo-review
/cs:cfo-review <plan> — Numerate-skeptic interrogation of any plan that touches money. Unit economics, runway, dilution, capital allocation.
aws-solution-architect
Design AWS architectures for startups using serverless patterns and IaC templates. Use when asked to design serverless architecture, create CloudFormation templates, optimize AWS costs, set up CI/CD pipelines, or migrate to AWS. Covers Lambda, API Gateway, DynamoDB, ECS, Aurora, and cost optimization.
ms365-tenant-manager
Microsoft 365 tenant administration for Global Administrators. Automate M365 tenant setup, Office 365 admin tasks, Azure AD user management, Exchange Online configuration, Teams administration, and security policies. Generate PowerShell scripts for bulk operations, Conditional Access policies, license management, and compliance reporting. Use for M365 tenant manager, Office 365 admin, Azure AD users, Global Administrator, tenant configuration, or Microsoft 365 automation.
tdd-guide
Test-driven development skill for writing unit tests, generating test fixtures and mocks, analyzing coverage gaps, and guiding red-green-refactor workflows across Jest, Pytest, JUnit, Vitest, and Mocha. Use when the user asks to write tests, improve test coverage, practice TDD, generate mocks or stubs, or mentions testing frameworks like Jest, pytest, or JUnit.
tech-stack-evaluator
Technology stack evaluation and comparison with TCO analysis, security assessment, and ecosystem health scoring. Use when comparing frameworks, evaluating technology stacks, calculating total cost of ownership, assessing migration paths, or analyzing ecosystem viability.
cloud-security
Use when assessing cloud infrastructure for security misconfigurations, IAM privilege escalation paths, S3 public exposure, open security group rules, or IaC security gaps. Covers AWS, Azure, and GCP posture assessment with MITRE ATT&CK mapping.
code-reviewer
Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.
code-tour
Use when the user asks to create a CodeTour .tour file — persona-targeted, step-by-step walkthroughs that link to real files and line numbers. Trigger for: create a tour, onboarding tour, architecture tour, PR review tour, explain how X works, vibe check, RCA tour, contributor guide, or any structured code walkthrough request.
competitive-teardown
Analyzes competitor products and companies by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intelligence. Produces feature comparison matrices scored across 12 dimensions, SWOT analyses, positioning maps, UX audits, pricing model breakdowns, action item roadmaps, and stakeholder presentation templates. Use when conducting competitor analysis, comparing products against competitors, researching the competitive landscape, building battle cards for sales, preparing for a product strategy or roadmap session, responding to a competitor's new feature or pricing change, or performing a quarterly competitive review.
confluence-expert
Atlassian Confluence expert for creating and managing spaces, knowledge bases, and documentation. Configures space permissions and hierarchies, creates page templates with macros, sets up documentation taxonomies, designs page layouts, and manages content governance. Use when users need to build or restructure a Confluence space, design page hierarchies with permission structures, author or standardise documentation templates, embed Jira reports in pages, run knowledge base audits, or establish documentation standards and collaborative workflows.
coverage
Analyze test coverage gaps. Use when user says "test coverage", "what's not tested", "coverage gaps", "missing tests", "coverage report", or "what needs testing".
data-quality-auditor
Audit datasets for completeness, consistency, accuracy, and validity. Profile data distributions, detect anomalies and outliers, surface structural issues, and produce an actionable remediation plan.
database-designer
Use when the user asks to design database schemas, plan data migrations, optimize queries, choose between SQL and NoSQL, or model data relationships.
database-schema-designer
Use when the user asks to create ERD diagrams, normalize database schemas, design table relationships, or plan schema migrations.
demo-video
Use when the user asks to create a demo video, product walkthrough, feature showcase, animated presentation, marketing video, or GIF from screenshots or scene descriptions. Orchestrates playwright, ffmpeg, and edge-tts MCPs to produce polished video content.
experiment-designer
Use when planning product experiments, writing testable hypotheses, estimating sample size, prioritizing tests, or interpreting A/B outcomes with practical statistical rigor.
fda-consultant-specialist
FDA regulatory consultant for medical device companies. Provides 510(k)/PMA/De Novo pathway guidance, QSR (21 CFR 820) compliance, HIPAA assessments, and device cybersecurity. Use when user mentions FDA submission, 510(k), PMA, De Novo, QSR, premarket, predicate device, substantial equivalence, HIPAA medical device, or FDA cybersecurity.
financial-analyst
Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making. Use when analyzing financial statements, building valuation models, assessing budget variances, or constructing financial projections and forecasts. Also applicable when users mention financial modeling, cash flow analysis, company valuation, financial projections, or spreadsheet analysis.
fix
Fix failing or flaky Playwright tests. Use when user says "fix test", "flaky test", "test failing", "debug test", "test broken", "test passes sometimes", or "intermittent failure".
focused-fix
Use when the user asks to fix, debug, or make a specific feature/module/area work end-to-end. Triggers: 'make X work', 'fix the Y feature', 'the Z module is broken', 'focus on [area]'. Not for quick single-bug fixes — this is for systematic deep-dive repair across all files and dependencies.
gcp-cloud-architect
Design GCP architectures for startups and enterprises. Use when asked to design Google Cloud infrastructure, deploy to GKE or Cloud Run, configure BigQuery pipelines, optimize GCP costs, or migrate to GCP. Covers Cloud Run, GKE, Cloud Functions, Cloud SQL, BigQuery, and cost optimization.
gdpr-dsgvo-expert
GDPR and German DSGVO compliance automation. Scans codebases for privacy risks, generates DPIA documentation, tracks data subject rights requests. Use for GDPR compliance assessments, privacy audits, data protection planning, DPIA generation, and data subject rights management.
generate
Generate Playwright tests. Use when user says "write tests", "generate tests", "add tests for", "test this component", "e2e test", "create test for", "test this page", or "test this feature".
google-workspace
Google Workspace CLI operations: setup diagnostics, security audit, recipe discovery, and output analysis. Usage: /google-workspace <setup|audit|recipe|analyze> [options]
google-workspace-cli
Google Workspace administration via the gws CLI. Install, authenticate, and automate Gmail, Drive, Sheets, Calendar, Docs, Chat, and Tasks. Run security audits, execute 43 built-in recipes, and use 10 persona bundles. Use for Google Workspace admin, gws CLI setup, Gmail automation, Drive management, or Calendar scheduling.
hard-call
/em -hard-call — Framework for Decisions With No Good Options
information-security-manager-iso27001
ISO 27001 ISMS implementation and cybersecurity governance for HealthTech and MedTech companies. Use for ISMS design, security risk assessment, control implementation, ISO 27001 certification, security audits, incident response, and compliance verification. Covers ISO 27001, ISO 27002, healthcare security, and medical device cybersecurity.
init
Set up Playwright in a project. Use when user says "set up playwright", "add e2e tests", "configure playwright", "testing setup", "init playwright", or "add test infrastructure".
jira-expert
Atlassian Jira expert for creating and managing projects, planning, product discovery, JQL queries, workflows, custom fields, automation, reporting, and all Jira features. Use for Jira project setup, configuration, advanced search, dashboard creation, workflow design, and technical Jira operations.
landing-page-generator
Generates high-converting landing pages as complete Next.js/React (TSX) components with Tailwind CSS. Creates hero sections, feature grids, pricing tables, FAQ accordions, testimonial blocks, and CTA sections using proven copy frameworks (PAS, AIDA, BAB). Outputs SEO meta tags, structured data, and performance-optimised code targeting Core Web Vitals (LCP < 1s, CLS < 0.1). Use when the user asks to create a landing page, marketing page, homepage, single-page site, lead capture page, campaign page, promo page, or conversion-optimised web page — or when they want to A/B test landing page variants or replace a static page with one designed to convert.
llm-cost-optimizer
Use when you need to reduce LLM API spend, control token usage, route between models by cost/quality, implement prompt caching, or build cost observability for AI features. Triggers: 'my AI costs are too high', 'optimize token usage', 'which model should I use', 'LLM spend is out of control', 'implement prompt caching'. NOT for RAG pipeline design (use rag-architect). NOT for prompt writing quality (use senior-prompt-engineer).
meeting-analyzer
Analyzes meeting transcripts and recordings to surface behavioral patterns, communication anti-patterns, and actionable coaching feedback. Use this skill whenever the user uploads or points to meeting transcripts (.txt, .md, .vtt, .srt, .docx), asks about their communication habits, wants feedback on how they run meetings, requests speaking ratio analysis, mentions filler words or conflict avoidance, or wants to compare their communication across time periods. Also trigger when users mention tools like Granola, Otter, Fireflies, or Zoom transcripts. Even if the user just says "look at my meetings" or "how do I come across in meetings" — use this skill.
migrate
Migrate from Cypress or Selenium to Playwright. Use when user mentions "cypress", "selenium", "migrate tests", "convert tests", "switch to playwright", "move from cypress", or "replace selenium".
playwright-pro
Production-grade Playwright testing toolkit. Use when the user mentions Playwright tests, end-to-end testing, browser automation, fixing flaky tests, test migration, CI/CD testing, or test suites. Generate tests, fix flaky failures, migrate from Cypress/Selenium, sync with TestRail, run on BrowserStack. 55 templates, 3 agents, smart reporting.
plugin-audit
Comprehensive audit pipeline for skills, plugins, agents, and commands. Validates structure, quality, security, marketplace compliance, cross-platform compatibility, and ecosystem integration. Runs all built-in validation tools, invokes domain-appropriate agents for code review, and produces a pass/fail gate report. Usage: /plugin-audit <skill-path>
postmortem
/em -postmortem — Honest Analysis of What Went Wrong
pr-review-expert
Use when the user asks to review pull requests, analyze code changes, check for security issues in PRs, or assess code quality of diffs.
product-analytics
Use when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.
product-discovery
Use when validating product opportunities, mapping assumptions, planning discovery sprints, or testing problem-solution fit before committing delivery resources.
product-manager-toolkit
Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use for feature prioritization, user research synthesis, requirement documentation, and product strategy development.
product-strategist
Strategic product leadership toolkit for Head of Product covering OKR cascade generation, quarterly planning, competitive landscape analysis, product vision documents, and team scaling proposals. Use when creating quarterly OKR documents, defining product goals or KPIs, building product roadmaps, running competitive analysis, drafting team structure or hiring plans, aligning product strategy across engineering and design, or generating cascaded goal hierarchies from company to team level.
prompt-governance
Use when managing prompts in production at scale: versioning prompts, running A/B tests on prompts, building prompt registries, preventing prompt regressions, or creating eval pipelines for production AI features. Triggers: 'manage prompts in production', 'prompt versioning', 'prompt regression', 'prompt A/B test', 'prompt registry', 'eval pipeline'. NOT for writing or improving individual prompts (use senior-prompt-engineer). NOT for RAG pipeline design (use rag-architect). NOT for LLM cost reduction (use llm-cost-optimizer).
rag-architect
Use when the user asks to design RAG pipelines, optimize retrieval strategies, choose embedding models, implement vector search, or build knowledge retrieval systems.
red-team
Use when planning or executing authorized red team engagements, attack path analysis, or offensive security simulations. Covers MITRE ATT&CK kill-chain planning, technique scoring, choke point identification, OPSEC risk assessment, and crown jewel targeting.
release-manager
Use when the user asks to plan releases, manage changelogs, coordinate deployments, create release branches, or automate versioning.
report
Generate test report. Use when user says "test report", "results summary", "test status", "show results", "test dashboard", or "how did tests go".
revenue-operations
Analyzes sales pipeline health, revenue forecasting accuracy, and go-to-market efficiency metrics for SaaS revenue optimization. Use when analyzing sales pipeline coverage, forecasting revenue, evaluating go-to-market performance, reviewing sales metrics, assessing pipeline analysis, tracking forecast accuracy with MAPE, calculating GTM efficiency, or measuring sales efficiency and unit economics for SaaS teams.
review
Review Playwright tests for quality. Use when user says "review tests", "check test quality", "audit tests", "improve tests", "test code review", or "playwright best practices check".
roadmap-communicator
Use when preparing roadmap narratives, release notes, changelogs, or stakeholder updates tailored for executives, engineering teams, and customers.
saas-scaffolder
Generates complete, production-ready SaaS project boilerplate including authentication, database schemas, billing integration, API routes, and a working dashboard using Next.js 14+ App Router, TypeScript, Tailwind CSS, shadcn/ui, Drizzle ORM, and Stripe. Use when the user wants to create a new SaaS app, start a subscription-based web project, scaffold a Next.js application, or mentions terms like starter template, boilerplate, new project, or wiring up auth and payments.
sales-engineer
Analyzes RFP/RFI responses for coverage gaps, builds competitive feature comparison matrices, and plans proof-of-concept (POC) engagements for pre-sales engineering. Use when responding to RFPs, bids, or proposal requests; comparing product features against competitors; planning or scoring a customer POC or sales demo; preparing a technical proposal; or performing win/loss competitor analysis. Handles tasks described as 'RFP response', 'bid response', 'proposal response', 'competitor comparison', 'feature matrix', 'POC planning', 'sales demo prep', or 'pre-sales engineering'.
secrets-vault-manager
Use when the user asks to set up secret management infrastructure, integrate HashiCorp Vault, configure cloud secret stores (AWS Secrets Manager, Azure Key Vault, GCP Secret Manager), implement secret rotation, or audit secret access patterns.
security-pen-testing
Use when the user asks to perform security audits, penetration testing, vulnerability scanning, OWASP Top 10 checks, or offensive security assessments. Covers static analysis, dependency scanning, secret detection, API security testing, and pen test report generation.
self-improving-agent
Curate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, extract recurring solutions into reusable skills. Use when: (1) reviewing what Claude has learned about your project, (2) graduating a pattern from notes to enforced rules, (3) turning a debugging solution into a skill, (4) checking memory health and capacity.
senior-architect
This skill should be used when the user asks to "design system architecture", "evaluate microservices vs monolith", "create architecture diagrams", "analyze dependencies", "choose a database", "plan for scalability", "make technical decisions", or "review system design". Use for architecture decision records (ADRs), tech stack evaluation, system design reviews, dependency analysis, and generating architecture diagrams in Mermaid, PlantUML, or ASCII format.
senior-backend
Designs and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening. Use when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs". Covers Node.js/Express/Fastify development, PostgreSQL optimization, API security, and backend architecture patterns.
senior-computer-vision
Computer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment with ONNX/TensorRT. Includes PyTorch, torchvision, Ultralytics, Detectron2, and MMDetection frameworks. Use when building detection pipelines, training custom models, optimizing inference, or deploying vision systems.
senior-data-engineer
Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.
senior-data-scientist
World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking — using Python (NumPy, Pandas, Scikit-learn), R, and SQL. Use when designing or analysing controlled experiments, building and evaluating classification or regression models, performing causal analysis on observational data, engineering features for structured tabular datasets, or translating statistical findings into data-driven business decisions.
senior-devops
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.
senior-frontend
Frontend development skill for React, Next.js, TypeScript, and Tailwind CSS applications. Use when building React components, optimizing Next.js performance, analyzing bundle sizes, scaffolding frontend projects, implementing accessibility, or reviewing frontend code quality.
senior-fullstack
Fullstack development toolkit with project scaffolding for Next.js, FastAPI, MERN, and Django stacks, code quality analysis with security and complexity scoring, and stack selection guidance. Use when the user asks to "scaffold a new project", "create a Next.js app", "set up FastAPI with React", "analyze code quality", "audit my codebase", "what stack should I use", "generate project boilerplate", or mentions fullstack development, project setup, or tech stack comparison.
senior-pm
Senior Project Manager for enterprise software, SaaS, and digital transformation projects. Specializes in portfolio management, quantitative risk analysis, resource optimization, stakeholder alignment, and executive reporting. Uses advanced methodologies including EMV analysis, Monte Carlo simulation, WSJF prioritization, and multi-dimensional health scoring. Use when a user needs help with project plans, project status reports, risk assessments, resource allocation, project roadmaps, milestone tracking, team capacity planning, portfolio health reviews, program management, or executive-level project reporting — especially for enterprise-scale initiatives with multiple workstreams, complex dependencies, or multi-million dollar budgets.
senior-prompt-engineer
This skill should be used when the user asks to "optimize prompts", "design prompt templates", "evaluate LLM outputs", "build agentic systems", "implement RAG", "create few-shot examples", "analyze token usage", or "design AI workflows". Use for prompt engineering patterns, LLM evaluation frameworks, agent architectures, and structured output design.
senior-qa
Generates unit tests, integration tests, and E2E tests for React/Next.js applications. Scans components to create Jest + React Testing Library test stubs, analyzes Istanbul/LCOV coverage reports to surface gaps, scaffolds Playwright test files from Next.js routes, mocks API calls with MSW, creates test fixtures, and configures test runners. Use when the user asks to "generate tests", "write unit tests", "analyze test coverage", "scaffold E2E tests", "set up Playwright", "configure Jest", "implement testing patterns", or "improve test quality".
senior-secops
Senior SecOps engineer skill for application security, vulnerability management, compliance verification, and secure development practices. Runs SAST/DAST scans, generates CVE remediation plans, checks dependency vulnerabilities, creates security policies, enforces secure coding patterns, and automates compliance checks against SOC2, PCI-DSS, HIPAA, and GDPR. Use when conducting a security review or audit, responding to a CVE or security incident, hardening infrastructure, implementing authentication or secrets management, running penetration test prep, checking OWASP Top 10 exposure, or enforcing security controls in CI/CD pipelines.
seo-auditor
Scan and optimize documentation files for SEO. Audits README.md files and docs/ pages for meta tags, headings, keywords, readability, duplicate content, and broken links. Applies fixes, updates sitemap.xml, and generates a report. Usage: /seo-auditor [path]
skill-security-auditor
Security audit and vulnerability scanner for AI agent skills before installation. Use when: (1) evaluating a skill from an untrusted source, (2) auditing a skill directory or git repo URL for malicious code, (3) pre-install security gate for Claude Code plugins, OpenClaw skills, or Codex skills, (4) scanning Python scripts for dangerous patterns like os.system, eval, subprocess, network exfiltration, (5) detecting prompt injection in SKILL.md files, (6) checking dependency supply chain risks, (7) verifying file system access stays within skill boundaries. Triggers: "audit this skill", "is this skill safe", "scan skill for security", "check skill before install", "skill security check", "skill vulnerability scan".
snowflake-development
Use when writing Snowflake SQL, building data pipelines with Dynamic Tables or Streams/Tasks, using Cortex AI functions, creating Cortex Agents, writing Snowpark Python, configuring dbt for Snowflake, or troubleshooting Snowflake errors.
spec-driven-workflow
Use when the user asks to write specs before code, define acceptance criteria, plan features before implementation, generate tests from specifications, or follow spec-first development practices.
spec-to-repo
Use when the user says 'build me an app', 'create a project from this spec', 'scaffold a new repo', 'generate a starter', 'turn this idea into code', 'bootstrap a project', 'I have requirements and need a codebase', or provides a natural-language project specification and expects a complete, runnable repository. Stack-agnostic: Next.js, FastAPI, Rails, Go, Rust, Flutter, and more.
sql-database-assistant
Use when the user asks to write SQL queries, optimize database performance, generate migrations, explore database schemas, or work with ORMs like Prisma, Drizzle, TypeORM, or SQLAlchemy.
statistical-analyst
Run hypothesis tests, analyze A/B experiment results, calculate sample sizes, and interpret statistical significance with effect sizes. Use when you need to validate whether observed differences are real, size an experiment correctly before launch, or interpret test results with confidence.
stress-test
/em -stress-test — Business Assumption Stress Testing
tc-tracker
Use when the user asks to track technical changes, create change records, manage TC lifecycles, or hand off work between AI sessions. Covers init/create/update/status/resume/close/export workflows for structured code change documentation.
team-communications
Write internal company communications — 3P updates (Progress/Plans/Problems), company-wide newsletters, FAQ roundups, incident reports, leadership updates, status reports, project updates, and general internal comms. Use this skill any time the user asks to draft, edit, or format something meant for internal audiences. Trigger on keywords like "3P", "weekly update", "newsletter", "FAQ", "internal comms", "status report", "company update", "team update", "incident report", or any request to summarize work for leadership, teammates, or the broader company. Even casual requests like "write my update" or "summarize what my team did this week" should trigger this skill.
tech-debt-tracker
Scan codebases for technical debt, score severity, track trends, and generate prioritized remediation plans. Use when users mention tech debt, code quality, refactoring priority, debt scoring, cleanup sprints, or code health assessment. Also use for legacy code modernization planning and maintenance cost estimation.
testrail
Sync tests with TestRail. Use when user mentions "testrail", "test management", "test cases", "test run", "sync test cases", "push results to testrail", or "import from testrail".
threat-detection
Use when hunting for threats in an environment, analyzing IOCs, or detecting behavioral anomalies in telemetry. Covers hypothesis-driven threat hunting, IOC sweep generation, z-score anomaly detection, and MITRE ATT&CK-mapped signal prioritization.
ui-design-system
UI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintaining visual consistency, and facilitating design-dev collaboration.
ux-researcher-designer
UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona creation, journey mapping, and design validation.
video-content-strategist
Use when planning video content strategy, writing video scripts, optimizing YouTube channels, building short-form video pipelines (Reels, TikTok, Shorts), or repurposing long-form content into video. Triggers: 'start a YouTube channel', 'video content strategy', 'write a video script', 'repurpose into video', 'YouTube SEO', 'short-form video'. NOT for written blog content (use content-production). NOT for social captions without video (use social-media-manager).
chatgpt-app-builder
Guide developers through creating and updating ChatGPT apps. Covers the full lifecycle: brainstorming ideas against UX guidelines, bootstrapping projects, implementing tools/views, debugging, running dev servers, deploying and connecting apps to ChatGPT. Use when a user wants to create or update a ChatGPT app / MCP server for ChatGPT, or use the Skybridge framework.
mcp-app-builder
Guide developers through creating and updating MCP apps. Covers the full lifecycle: brainstorming ideas against UX guidelines, bootstrapping projects, implementing tools/views, debugging, running dev servers, deploying and connecting apps to ChatGPT. Use when a user wants to create or update a MCP app, MCP server or use the Skybridge framework.
skybridge
Guide developers through creating and updating ChatGPT and MCP apps. Covers the full lifecycle: brainstorming ideas against UX guidelines, bootstrapping projects, implementing tools/views, debugging, running dev servers, deploying and connecting apps to ChatGPT. Use when a user wants to create or update a ChatGPT app, MCP app, MCP server or use the Skybridge framework.
claude-api
Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions.
loop
Run a prompt or slash command on a recurring interval. Omit the interval to let the model self-pace.
schedule
Create, update, list, or run scheduled remote agents (routines) that execute on a cron schedule.
bitrouter
Use this skill when the user wants to install, configure, run, or troubleshoot BitRouter — an LLM proxy that runs two ways: a local Rust daemon at http://localhost:4356 (BYOK) or BitRouter Cloud at https://api.bitrouter.ai/v1 (managed, brk_* keys, Stripe credits or x402 wallet). Unifies OpenAI, Anthropic, Google, OpenRouter, GitHub Copilot, and OpenCode Zen/Go behind one endpoint. Also covers signup on bitrouter.ai, minting brk_ API keys, migrating off LiteLLM / OpenRouter / any OpenAI- or Anthropic-compatible gateway, editing bitrouter.yaml, and wiring coding-agent harnesses (Claude Code, Codex, Hermes Agent, OpenClaw). Trigger on "set up a local LLM proxy", "managed AI gateway", "replace litellm", "point claude code at a proxy", "bitrouter cloud", "brk_ key", anything naming bitrouter.yaml, port 4356, or api.bitrouter.ai — even when the user does not name BitRouter directly.
consult-codex
Compare OpenAI Codex GPT-5.5 and code-searcher responses for comprehensive dual-AI code analysis. Use when you need multiple AI perspectives on code questions.
ai-slop-remover
Removes AI-generated code smells from a SINGLE file while preserving functionality. For multiple files, call in PARALLEL per file.
ultragoal
Durable repo-native multi-goal plans with embedded success criteria and evidence audit.
soft-predict-future
Activate this skill for ANY future-oriented question. Triggers include: "Will [X]?", "Who will win [X]?", "What happens to [X]?", "Can [X] succeed?", "What's the future of X?", foresight analysis, scenario planning, STEEEP analysis, futures cone, prediction requests, or any question about a future outcome. Year is NOT required — the engine infers the horizon. Also activate when the user says "predict", "forecast", "what are the odds", "scenario analysis", or asks about competitive races, technology adoption, geopolitical shifts, or market dominance. REQUIRES web search to be enabled — if web search is unavailable, tell the user before proceeding.
autonomous-agent-patterns
Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.
codex
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
denario
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
loki-mode
Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations, marketing, HR, and customer success. Takes PRD to fully deployed, revenue-generating product with zero human intervention. Features Task tool for subagent dispatch, parallel code review with 3 specialized reviewers, severity-based issue triage, distributed task queue with dead letter handling, automatic deployment to cloud providers, A/B testing, customer feedback loops, incident response, circuit breakers, and self-healing. Handles rate limits via distributed state checkpoints and auto-resume with exponential backoff. Requires --dangerously-skip-permissions flag.
prompt-library
Curated collection of high-quality prompts for various use cases. Includes role-based prompts, task-specific templates, and prompt refinement techniques. Use when user needs prompt templates, role-play prompts, or ready-to-use prompt examples for coding, writing, analysis, or creative tasks.
senior-prompt-engineer
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.
9router
Entry point for 9Router — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch. Use when the user mentions 9Router, NINEROUTER_URL, or wants AI without writing provider boilerplate. This skill covers setup + indexes capability skills; fetch the relevant capability SKILL.md from the URLs below when needed.
9router-chat
Chat / code generation via 9Router using OpenAI /v1/chat/completions or Anthropic /v1/messages format with streaming + auto-fallback combos. Use when the user wants to ask an LLM, generate code, summarize text, or run prompts through 9Router.
9router-embeddings
Generate vector embeddings via 9Router /v1/embeddings using OpenAI / Gemini / Mistral / Voyage / Nvidia / GitHub embedding models for RAG, semantic search, similarity. Use when the user wants embeddings, vectors, RAG, semantic search, or to embed text.
9router-image
Generate images via 9Router /v1/images/generations using OpenAI / Gemini Imagen / DALL-E / FLUX / MiniMax / SDWebUI / ComfyUI / Codex models. Use when the user wants to create, generate, draw, or render an image, picture, or text-to-image (txt2img).
9router-stt
Speech-to-text via 9Router /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI / NVIDIA / HuggingFace models. Use when the user wants to transcribe audio, convert speech to text, or get subtitles from audio files.
9router-tts
Text-to-speech via 9Router /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Hyperbolic / Inworld voices. Use when the user wants to convert text to speech, generate audio, voiceover, narrate, or read text aloud.
9router-web-fetch
Fetch URL → markdown / text / HTML via 9Router /v1/web/fetch using Firecrawl / Jina Reader / Tavily Extract / Exa Contents. Use when the user wants to scrape a webpage, extract URL content, read article, or convert a URL to markdown.
9router-web-search
Web search via 9Router /v1/search using Tavily / Exa / Brave / Serper / SearXNG / Google PSE / Linkup / SearchAPI / You.com / Perplexity. Use when the user wants to search the web, look up information, find articles, or query a search engine.
capture-release-evidences-ag
Automatically run a browser-automation agent to visually validate all new UI features from the current release and capture evidence WebP recordings of the changes.
capture-release-evidences-cc
Automatically run a browser-automation agent to visually validate all new UI features from the current release and capture evidence WebP recordings of the changes.
capture-release-evidences-cx
Automatically run a browser-automation agent to visually validate all new UI features from the current release and capture evidence WebP recordings of the changes.
cli-backup-sync
Backup and restore OmniRoute data from the CLI. Trigger incremental snapshots, sync to cloud storage, manage backup schedules, and restore from archive files.
cli-contexts
Manage context engineering configurations, RTK filter sets, and conversation sessions from the CLI. Apply context-relay settings and inspect active context pipelines.
cli-cost-usage
View cost breakdowns, token usage, and call logs from the CLI. Filter by provider, model, or date range. Export usage reports and inspect per-connection spending.
cli-eval
Create and run evaluation suites, watch live benchmark progress, view scorecards, compare model performance, and integrate eval runs with CI workflows from the CLI.
cli-keys
Create, list, rotate, and revoke OmniRoute API keys from the CLI. Manage OAuth flows for provider authentication and inspect key scopes and expiration.
cli-plugins-skills
Manage Omni Skills (list, install, test, remove), plugins (create, configure), and persistent memory (search, add, clear) from the CLI.
cli-policy-audit
Inspect audit logs, manage access policies, view telemetry data, and review request history from the CLI. Filter by event type, user, or time range for compliance workflows.
cli-providers
Manage provider connections from the CLI: list available/configured providers, add, test, test-all, validate, rotate API keys, and view per-provider metrics.
cli-serve
Start, stop, and restart the OmniRoute server from the CLI. Manage daemon mode, port configuration, auto-recovery, system tray integration, and the dashboard open shortcut.
cli-setup
Run initial setup, configure global CLI settings, manage environment variables, check for updates, and configure autostart via the CLI setup and config commands.
generate-release-ag
Create a new release, bump version up to the .999 patch threshold, generate a complete CHANGELOG (with PR co-authors + every commit since the last tag), and manage Pull Requests
generate-release-cc
Create a new release, bump version up to the .999 patch threshold, generate a complete CHANGELOG (with PR co-authors + every commit since the last tag), and manage Pull Requests
generate-release-cx
Create a new release, bump version up to the .999 patch threshold, generate a complete CHANGELOG (with PR co-authors + every commit since the last tag), and manage Pull Requests
implement-features-ag
Analyze open feature request issues, implement viable ones on dedicated branches, and respond to authors
implement-features-cc
Analyze open feature request issues, implement viable ones on dedicated branches, and respond to authors
implement-features-cx
Analyze open feature request issues, implement viable ones on dedicated branches, and respond to authors
omni-agents-a2a
Interact with OmniRoute via JSON-RPC 2.0 agent-to-agent protocol. 6 built-in A2A skills: smart-routing, quota-management, provider-discovery, cost-analysis, health-report, list-capabilities.
omni-auth
Manage API key authentication and session tokens. Start here to authenticate requests via Bearer token, obtain session cookies, and configure login requirements for the OmniRoute API.
omni-cli-tools
Manage CLI tool integrations exposed via the API. List, configure, and invoke CLI tool plugins that extend OmniRoute's automation surface.
omni-combos-routing
Create and manage routing combos with 14 strategies (priority, weighted, round-robin, Auto-combo, etc.). Configure fallback chains, test routing outcomes, and retrieve combo metrics.
omni-compression
Configure RTK (command output), Caveman (prose), and stacked compression modes. Manage language packs, custom rules, and test prompt compression reducing tokens by 60–90%.
omni-inference
The core OpenAI-compatible inference endpoints: chat completions, embeddings, images, audio (TTS/STT), moderations, rerank, and the Responses API. The primary integration surface for AI agents.
omni-mcp
Connect to the OmniRoute MCP server (37 tools, 3 transports: SSE/stdio/HTTP). Covers routing, cache, compression, memory, skills, providers, and audit tools across 16 permission scopes.
omni-providers
Manage provider connections, API keys, OAuth flows, and connection tests via the REST API. List, add, update, remove, and test AI provider integrations (OpenAI, Anthropic, Gemini, and 160+).
omni-resilience
Monitor provider health, circuit-breaker states, p50/p95/p99 latency metrics, and budget guard alerts. Inspect connection cooldowns and model lockouts in real time.
omni-settings
Read and update global application settings: system prompts, thinking budget, IP filters, payload rules, combo defaults, and require-login configuration.
omni-sync-cloud
Synchronise OmniRoute configuration, provider connections, and settings to/from cloud storage. Manage cloud worker authentication and remote backup targets.
omni-usage-logs
Access detailed call logs and usage analytics. Filter by provider, model, time range, status, and cost. Export logs and aggregate token usage across all connections.
omni-version-manager
Install, start, stop, restart, and update embedded services (9Router, CLIProxyAPI). Monitor service status, retrieve logs, and configure auto-start for local-only service endpoints.
omniroute
Entry point for OmniRoute — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, STT, embeddings, web search, web fetch, MCP, A2A. Use when the user mentions OmniRoute, OMNIROUTE_URL, or wants AI without writing provider boilerplate. This skill covers setup + indexes capability skills; fetch the relevant capability SKILL.md from the URLs below when needed.
omniroute-a2a
OmniRoute exposes an A2A (Agent-to-Agent) JSON-RPC 2.0 server with 5 skills (smart-routing, quota-management, provider-discovery, cost-analysis, health-report). Use when the user wants OmniRoute to act as an agent peer in an A2A network or multi-agent pipeline.
omniroute-cli
Entry point for the OmniRoute CLI (omniroute binary) — install, global flags, output formats, environment variables, and index of CLI capability skills. Use when the user wants to control OmniRoute from the terminal, automate workflows, or integrate with CI/CD.
omniroute-cli-admin
Manage the OmniRoute server lifecycle via CLI — start/stop/restart, non-interactive setup, diagnostics (omniroute doctor), backup/restore, autostart, and tunnel management. Use when the user wants to operate the OmniRoute server, automate provisioning, or troubleshoot the runtime.
omniroute-cli-cloud
Control OmniRoute cloud agents (OpenAI Codex, Devin, Jules) from the CLI — create tasks, track status, approve plans, send messages, and manage sources. Use when the user wants to automate cloud coding agent workflows via the terminal.
omniroute-cli-eval
Run and manage OmniRoute eval suites from the CLI — create suites, run benchmarks, watch live results, view scorecards, and compare model performance. Use when the user wants to benchmark models, validate quality regressions, or automate LLM evals in CI.
omniroute-cli-providers
Manage OmniRoute provider connections, API keys, and routing combos via CLI — add/list/test/remove providers, rotate keys, run OAuth flows, list models, and create/switch combos. Use when the user wants to configure providers, manage credentials, or set up routing from the terminal.
omniroute-compression
Configure OmniRoute token compression to save 60–90% of context tokens. Covers RTK (command/tool output), Caveman (prose), stacked mode (both), and the MCP accessibility-tree filter (browser snapshots). Use when the user wants to reduce costs, fit long sessions into context windows, or speed up AI responses.
omniroute-mcp
OmniRoute exposes a built-in MCP (Model Context Protocol) server with 37 tools (chat, embeddings, memory CRUD, skills, providers, routing, audit) over SSE/stdio/HTTP transports. Use when the user wants to add OmniRoute as an MCP server in Claude Desktop, Cursor, Cline, or any MCP-compatible client.
omniroute-monitoring
Monitor OmniRoute system health, provider circuit breakers, per-provider latency (p50/p95/p99), quota usage, and set budget guards. Use when the user wants to check if the system is healthy, debug slow providers, manage spend limits, or set up oncall-style monitoring.
omniroute-routing
Create and configure OmniRoute routing combos, choose from 14 strategies (priority, weighted, auto, round-robin, cost-optimized, etc.), activate Auto-combo 9-factor scoring, and set up fallback chains. Use when the user wants to configure multi-provider routing, load balancing, or cost-optimized model selection.
port-upstream-features-cc
Port one or more open PRs from upstream decolua/9router into OmniRoute, adapt JS→TS, attribute the original author, land via release-branch worktree + per-feature PR.
port-upstream-issues-cc
Triage and fix open issues from upstream decolua/9router against OmniRoute. Reproduce first, security first, one worktree per fix, attribution preserved.
resolve-issues-ag
Fetch all open GitHub issues, analyze bugs, resolve up to 30 per batch via per-issue worktrees + PRs into the release branch, triage the rest, wait for user validation
resolve-issues-cx
Fetch all open GitHub issues, analyze bugs, resolve up to 30 per batch via per-issue worktrees + PRs into the release branch, triage the rest, wait for user validation
review-discussions-ag
Read all open GitHub Discussions, summarize them, respond to pending ones, create issues from actionable feature requests, and triage stale threads for closure
review-discussions-cc
Read all open GitHub Discussions, summarize them, respond to pending ones, create issues from actionable feature requests, and triage stale threads for closure
review-discussions-cx
Read all open GitHub Discussions, summarize them, respond to pending ones, create issues from actionable feature requests, and triage stale threads for closure
review-prs-ag
Analyze open Pull Requests from the project's GitHub repository, generate a critical report, and optionally implement approved changes
review-prs-cc
Analyze open Pull Requests from the project's GitHub repository, generate a critical report, and optionally implement approved changes
review-prs-cx
Analyze open Pull Requests from the project's GitHub repository, generate a critical report, and optionally implement approved changes
version-bump-ag
Bump version, auto-generate CHANGELOG from git commits, update all versioned files, and refresh root + docs/ documentation to reflect the current project state
version-bump-cc
Bump version, auto-generate CHANGELOG from git commits, update all versioned files, and refresh root + docs/ documentation to reflect the current project state
version-bump-cx
Bump version, auto-generate CHANGELOG from git commits, update all versioned files, and refresh root + docs/ documentation to reflect the current project state
walmart-sales-analyzer
Analyze Walmart sales data to explore trends between store sales and unemployment rates. Generate insightful visualizations and a beautiful HTML report with deep analysis. Suitable for quick insights into the relationship between sales data and macroeconomic factors.
agent-browser
Agent-browser usage guide. Read this before running any agent-browser commands. Covers the snapshot-and-ref workflow, navigating pages, interacting with elements (click, fill, type, select), extracting text and data, taking screenshots, managing tabs, handling forms and auth, waiting for content, running multiple browser sessions in parallel, and troubleshooting common failures. Use when the user asks to interact with a website, fill a form, click something, extract data, take a screenshot, log into a site, test a web app, or automate any browser task.
anthropic-frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
atlas-stream-processing
Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.
cloudflare-deploy
Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
doc
Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks.
docx
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
dokploy-deploy
This skill should be used when user asks to "deploy with Dokploy", "use Dokploy Cloud", "manage self-hosted Dokploy", "deploy Docker Compose on Dokploy", "manage Dokploy databases", "configure Dokploy domains", or "look up Dokploy CLI commands".
electron
Automate Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify, etc.) using agent-browser via Chrome DevTools Protocol. Use when the user needs to interact with an Electron app, automate a desktop app, connect to a running app, control a native app, or test an Electron application. Triggers include "automate Slack app", "control VS Code", "interact with Discord app", "test this Electron app", "connect to desktop app", or any task requiring automation of a native Electron application.
hetzner-deploy
This skill should be used when user asks to "deploy to Hetzner", "create Hetzner server", "manage Hetzner Cloud", "hcloud CLI", or works with Hetzner Cloud infrastructure including servers, networks, firewalls, load balancers, DNS zones, and volumes.
livekit-skills
Build voice AI agents with LiveKit Agents SDK. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI", "implement handoffs", "structure agent workflows", or is working with LiveKit Agents SDK. Covers both LiveKit Cloud and self-hosted deployments using lk CLI.
mongodb-connection
Optimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language. Use this skill when working/updating/reviewing on functions that instantiate or configure a MongoDB client (eg, when calling `connect()`), configuring connection pools, troubleshooting connection errors (ECONNREFUSED, timeouts, pool exhaustion), optimizing performance issues related to connections. This includes scenarios like building serverless functions with MongoDB, creating API endpoints that use MongoDB, optimizing high-traffic MongoDB applications, creating long-running tasks and concurrency, or debugging connection-related failures.
mongodb-mcp-setup
Guide users through configuring key MongoDB MCP server options. Use this skill when a user has the MongoDB MCP server installed but hasn't configured the required environment variables, or when they ask about connecting to MongoDB/Atlas and don't have the credentials set up.
mongodb-natural-language-querying
Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks "how do I query...", needs help with query syntax, or discusses finding/filtering/grouping MongoDB documents. Also use for translating SQL-like requests to MongoDB syntax. Does NOT handle Atlas Search ($search operator), vector/semantic search ($vectorSearch operator), fuzzy matching, autocomplete indexes, or relevance scoring - use search-and-ai for those. Does NOT analyze or optimize existing queries - use mongodb-query-optimizer for that. Does NOT handle aggregation pipelines that involve write operations. Requires MongoDB MCP server.
mongodb-query-optimizer
Help with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: "How do I optimize this query?", "How do I index this?", "Why is this query slow?", "Can you fix my slow queries?", "What are the slow queries on my cluster?", etc. Do not invoke for general MongoDB query writing unless user asks for performance or index help. Prefer indexing as optimization strategy. Use MongoDB MCP when available.
mongodb-schema-design
MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on "design schema", "embed vs reference", "MongoDB data model", "schema review", "unbounded arrays", "one-to-many", "tree structure", "16MB limit", "schema validation", "JSON Schema", "time series", "schema migration", "polymorphic", "TTL", "data lifecycle", "archive", "index explosion", "unnecessary indexes", "approximation pattern", "document versioning".
mongodb-search-and-ai
Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG applications), or combined approaches. Also use when users need text containment, substring matching ('contains', 'includes', 'appears in'), case-insensitive or multi-field text search, or filtering across many fields with variable combinations. Provides workflows for selecting the right search type, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.
openobserve-api
This skill should be used when user asks to "query OpenObserve", "create OpenObserve dashboard", "edit OpenObserve panel", "fetch OpenObserve logs", "run OpenObserve search", "list OpenObserve streams", "ingest into OpenObserve", or works with OpenObserve Cloud / self-hosted via REST API. Covers auth, search/SQL, streams, dashboards (CRUD + per-panel ops), the v8 panel JSON schema, and known pitfalls (re-aggregation, hash concurrency, microsecond timestamps).
Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction.
polar-billing
This skill should be used when working on Polar billing system, Stripe integration, subscription lifecycle, checkout flows, or benefit provisioning.
polar-local-environment
This skill should be used when setting up or managing Polar local development environment with Docker.
pptx
Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.
slides
Create and edit presentation slide decks (`.pptx`) with PptxGenJS, bundled layout helpers, and render/validation utilities. Use when tasks involve building a new PowerPoint deck, recreating slides from screenshots/PDFs/reference decks, modifying slide content while preserving editable output, adding charts/diagrams/visuals, or diagnosing layout issues such as overflow, overlaps, and font substitution.
spreadsheet
Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) with formula-aware workflows, cached recalculation, and visual review.
supabase-cli
This skill should be used when user asks to "use supabase CLI", "supabase init", "supabase start", "run migrations", "deploy edge functions", "manage Supabase project", or works with the supabase command-line tool for local development and project management.
supabase-js
This skill should be used when user asks to "use supabase-js", "query Supabase database", "supabase auth", "supabase storage", "supabase realtime", "supabase edge functions", or works with the @supabase/supabase-js JavaScript/TypeScript SDK.
vercel-composition-patterns
React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.
vercel-react-best-practices
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
vercel-react-native-skills
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
vercel-react-view-transitions
Guide for implementing smooth, native-feeling animations using React's View Transition API (`<ViewTransition>` component, `addTransitionType`, and CSS view transition pseudo-elements). Use this skill whenever the user wants to add page transitions, animate route changes, create shared element animations, animate enter/exit of components, animate list reorder, implement directional (forward/back) navigation animations, or integrate view transitions in Next.js. Also use when the user mentions view transitions, `startViewTransition`, `ViewTransition`, transition types, or asks about animating between UI states in React without third-party animation libraries.
xlsx
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
oma-image
Multi-vendor AI image generation with authentication-aware parallel dispatch. Routes to Codex (gpt-image-2 via ChatGPT OAuth), Antigravity (gemini-2.5-flash-image aka nano-banana via `agy` CLI + Gemini Code Assist), and Pollinations (flux/zimage, free with signup). Use for image generation, image creation, visual asset generation, and AI art.
agent-governance
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
arize-ai-provider-integration
INVOKE THIS SKILL when creating, reading, updating, or deleting Arize AI integrations. Covers listing integrations, creating integrations for any supported LLM provider (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM, custom), updating credentials or metadata, and deleting integrations using the ax CLI.
arize-evaluator
INVOKE THIS SKILL for LLM-as-judge evaluation workflows on Arize: creating/updating evaluators, running evaluations on spans or experiments, tasks, trigger-run, column mapping, and continuous monitoring. Use when the user says: create an evaluator, LLM judge, hallucination/faithfulness/correctness/relevance, run eval, score my spans or experiment, ax tasks, trigger-run, trigger eval, column mapping, continuous monitoring, query filter for evals, evaluator version, or improve an evaluator prompt.
automate-this
Analyze a screen recording of a manual process and produce targeted, working automation scripts. Extracts frames and audio narration from video files, reconstructs the step-by-step workflow, and proposes automation at multiple complexity levels using tools already installed on the user machine.
azure-architecture-autopilot
Design Azure infrastructure using natural language, or analyze existing Azure resources to auto-generate architecture diagrams, refine them through conversation, and deploy with Bicep. When to use this skill: - "Create X on Azure", "Set up a RAG architecture" (new design) - "Analyze my current Azure infrastructure", "Draw a diagram for rg-xxx" (existing analysis) - "Foundry is slow", "I want to reduce costs", "Strengthen security" (natural language modification) - Azure resource deployment, Bicep template generation, IaC code generation - Microsoft Foundry, AI Search, OpenAI, Fabric, ADLS Gen2, Databricks, and all Azure services
copilot-sdk
Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.
mcp-create-adaptive-cards
Skill converted from mcp-create-adaptive-cards.prompt.md
mcp-create-declarative-agent
Skill converted from mcp-create-declarative-agent.prompt.md
mcp-deploy-manage-agents
Skill converted from mcp-deploy-manage-agents.prompt.md
mcp-security-audit
Audit MCP (Model Context Protocol) server configurations for security issues. Use this skill when: - Reviewing .mcp.json files for security risks - Checking MCP server args for hardcoded secrets or shell injection patterns - Validating that MCP servers use pinned versions (not @latest) - Detecting unpinned dependencies in MCP server configurations - Auditing which MCP servers a project registers and whether they're on an approved list - Checking for environment variable usage vs. hardcoded credentials in MCP configs - Any request like "is my MCP config secure?", "audit my MCP servers", or "check .mcp.json" keywords: [mcp, security, audit, secrets, shell-injection, supply-chain, governance]
model-recommendation
Analyze chatmode or prompt files and recommend optimal AI models based on task complexity, required capabilities, and cost-efficiency
campaign-audit
Audit a brand's existing live campaigns across every active channel — paid, organic, email, social, content, SEO. Produce a current-state inventory, quick-wins backlog, and red-flags list. Use during agency onboarding or before any /campaign-plan refresh.
check
Run the unified pre-publish quality gate on marketing content — hallucination detection, claim verification, brand voice scoring, structure validation. Use before publishing any marketing copy.
client-validation-document
Produce the Part 5 Client Validation Document — the one true stop where unbiased v1 findings meet the client. Each finding gets ACCEPT/REJECT/EDIT/DEFER decision.
continuous-improvement-loop
Run Part 12 — the continuous improvement loop. Aggregates market + operating signals into product/offering recommendations. Runs alongside live operations, not as a one-time activity.
orchestrating-multi-agent-systems
This skill enables Claude to orchestrate multi-agent systems using the AI SDK v5. It allows Claude to set up agent handoffs, intelligent routing, and coordinated workflows across different AI providers like OpenAI, Anthropic, and Google. Use this skill when the user asks to create multi-agent systems, needs help with agent coordination, task routing, or wants to build complex workflows involving specialized agents. It is triggered by phrases like "multi-agent system", "agent orchestration", "agent handoff", "intelligent routing", or "coordinate agents".
chatgpt-app-builder
**MANDATORY for ALL MCP server work** - mcp-use framework best practices and patterns. **READ THIS FIRST** before any MCP server work, including: - Creating new MCP servers - Modifying existing MCP servers (adding/updating tools, resources, prompts, widgets) - Debugging MCP server issues or errors - Reviewing MCP server code for quality, security, or performance - Answering questions about MCP development or mcp-use patterns - Making ANY changes to server.tool(), server.resource(), server.prompt(), or widgets This skill contains critical architecture decisions, security patterns, and common pitfalls. Always consult the relevant reference files BEFORE implementing MCP features.
mcp-apps-builder
**MANDATORY for ALL MCP server work** - mcp-use framework best practices and patterns. **READ THIS FIRST** before any MCP server work, including: - Creating new MCP servers - Modifying existing MCP servers (adding/updating tools, resources, prompts, widgets) - Debugging MCP server issues or errors - Reviewing MCP server code for quality, security, or performance - Answering questions about MCP development or mcp-use patterns - Making ANY changes to server.tool(), server.resource(), server.prompt(), or widgets This skill contains critical architecture decisions, security patterns, and common pitfalls. Always consult the relevant reference files BEFORE implementing MCP features.
mcp-builder
**MANDATORY for ALL MCP server work** - mcp-use framework best practices and patterns. **READ THIS FIRST** before any MCP server work, including: - Creating new MCP servers - Modifying existing MCP servers (adding/updating tools, resources, prompts, widgets) - Debugging MCP server issues or errors - Reviewing MCP server code for quality, security, or performance - Answering questions about MCP development or mcp-use patterns - Making ANY changes to server.tool(), server.resource(), server.prompt(), or widgets This skill contains critical architecture decisions, security patterns, and common pitfalls. Always consult the relevant reference files BEFORE implementing MCP features.
openapi-to-mcp
Build and deploy an MCP server from an OpenAPI / Swagger spec using the mcp-use TypeScript SDK. Use this skill whenever the user wants to "turn this OpenAPI spec into an MCP server", "make this API usable from Claude/ChatGPT", "wrap this Swagger doc as MCP tools", "expose this REST API to an LLM", "generate MCP tools from a spec", or pastes/attaches an `openapi.yaml`, `openapi.json`, or `swagger.json` and asks for a Claude-compatible version. Trigger even if the user doesn't say "MCP" — if they describe an existing HTTP API (REST endpoints, an internal service, a third-party API they have a key for) and want an LLM to call it, this is the right skill. Covers spec ingestion (file path, URL, or pasted), operation-to-tool mapping, auth wiring (apiKey, bearer, basic, OAuth bearer), scaffolding with `create-mcp-use-app`, tool generation with proper zod schemas, live testing in the mcp-use inspector, and deploying to Manufact / mcp-use cloud.
podcast-generation
Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.
ensure-manifest-docs-consistency
Check consistency of Manifest documentation across all sources (GitHub, website, ClawhHub, npm, skills) against the actual codebase. Produces a dissonance report with tables. Use when the user says "/ensure-manifest-docs-consistency", "check manifest docs", "docs consistency", or wants to audit Manifest documentation for contradictions.
add-atomic-chat-tool
Add Atomic Chat MCP server so the container agent can call local models served by the Atomic Chat desktop app via its OpenAI-compatible API.
add-codex
Use Codex (CLI + AppServer) as the full agent provider — planning, tool orchestration, native compaction, MCP tools, session resume — in place of the Claude Agent SDK. ChatGPT subscription or OPENAI_API_KEY. Per-group via agent_provider. Distinct from using OpenAI as an MCP tool (where Claude remains the planner).
add-opencode
Use OpenCode as an agent provider (AGENT_PROVIDER=opencode). OpenRouter, OpenAI, Google, DeepSeek, etc. via OpenCode config — not the Anthropic Agent SDK. Per-session and per-group via agent_provider; host passes OPENCODE_* and XDG mount when spawning containers.
unicli
Comprehensive guide to using Uni-CLI — the universal CLI for AI agents. Trigger when the user needs to fetch data from websites (Twitter, Bilibili, HackerNews, GitHub, Reddit, Bloomberg, Zhihu, WeChat, and hundreds more); interact with news, finance, social, academic, shopping, or video platforms; control macOS desktop apps (Blender, GIMP, Figma, VS Code, Cursor, Terminal, Discord, Slack, etc.) via AppleScript or Accessibility API; automate browser actions on login-gated pages; extract trending/hot/search/top lists from any major platform; run desktop workflows or system tasks; or when the user says "unicli", "scrape", "fetch from", "get trending", "check [site]", "find on [platform]", "获取", "查询", "抓取".
unicli-browser
Control browser automation sessions via unicli. The browser command now owns lifecycle, interaction, introspection, and daemon diagnostics.
unicli-claude-code
Make Uni-CLI reliable when invoked from Claude Code. MANDATES JSON-in channels (stdin / --args-file) for any payload containing quotes, emoji, newlines, or inline JSON — shell-quoted invocations hit TC0 circuit limits and drop to <50% success above ICS=4. Also covers --describe introspection and next_actions-driven navigation.
unicli-explorer
Create new Uni-CLI adapters by exploring websites and APIs. Use when adding support for a new site, desktop app, or service that unicli doesn't cover yet.
unicli-operate
Compatibility guide for `unicli operate`. Prefer `unicli browser`, which now exposes the same operator surface plus daemon/session diagnostics.
unicli-repair
Self-repair workflow for broken Uni-CLI adapters. Trigger when a `unicli <site> <command>` invocation emits a structured error envelope (stderr JSON with `code`, `adapter_path`, `step`, `suggestion`); when the user pastes such an envelope; when the user says "fix unicli", "adapter broken", "unicli failed", "修复 unicli", "适配器坏了"; or when iterating on quarantined adapters via `unicli repair --quarantined`. Walks the classify → diagnose → patch-or-rewrite → verify → persist loop, with mandatory destroy-and-rebuild on shape rot rather than patch-on-patch.
unicli-smart-search
Route search queries to the best platform via unicli. Use when searching across websites, social media, tech forums, news, finance, shopping, or academic sources.
pricing-strategy
Analyze and design pricing strategies including pricing models, competitive pricing analysis, willingness-to-pay estimation, and price elasticity. Use when setting prices, evaluating pricing models, preparing for a pricing change, or comparing freemium vs paid approaches.
add-voice-transcription
Add voice message transcription to NanoClaw using OpenAI's Whisper API. Automatically transcribes WhatsApp voice notes so the agent can read and respond to them.
use-local-whisper
Use when the user wants local voice transcription instead of OpenAI Whisper API. Switches to whisper.cpp running on Apple Silicon. WhatsApp only for now. Requires voice-transcription skill to be applied first.
agentdb-vector-search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
qa-test
CodexBar live QA/e2e testing: run provider usage matrix checks, validate real app config, use Peekaboo for menu proof, use Browser Use/official docs for API spec or logged-in dashboard checks, and handle 1Password credentials safely.
release-codexbar
CodexBar release: versioning, notarization, appcast, Homebrew, post-release bump.
agentic-actions-auditor
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI/CD pipelines, including env var intermediary patterns, direct expression injection, dangerous sandbox configurations, and wildcard user allowlists. Use when reviewing workflow files that invoke AI coding agents, auditing CI/CD pipeline security for prompt injection risks, or evaluating agentic action configurations.
second-opinion
Runs external LLM code reviews (OpenAI Codex or Google Gemini CLI) on uncommitted changes, branch diffs, or specific commits. Use when the user asks for a second opinion, external review, codex review, gemini review, or mentions /second-opinion.
arxiv
Search, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper pdf", or wants to find and save papers from arXiv to the local paper library.
auto-paper-improvement-loop
Autonomously improve a generated paper via GPT-5.4 xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \"改论文\", \"improve paper\", \"论文润色循环\", \"auto improve\", or wants to iteratively polish a generated paper.
auto-review-loop
Autonomous multi-round research review loop. Repeatedly reviews using a secondary Codex agent, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.
auto-review-loop-llm
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
auto-review-loop-minimax
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
comm-lit-review
Communications-domain literature review and related-work search with database-aware source control. Use when the task is about communications, wireless, networking, satellite/NTN, Wi-Fi, cellular, transport protocols, congestion control, routing, scheduling, MAC/PHY, rate adaptation, channel estimation, beamforming, or communication-system research and the user wants papers, prior art, a survey, related work, or a landscape summary. Prioritize IEEE Xplore and ScienceDirect, prefer formal publications over preprints, and separate foundational work from recent progress.
dse-loop
Autonomous design space exploration loop for computer architecture and EDA. Runs a program, analyzes results, tunes parameters, and iterates until objective is met or timeout. Use when user says \"DSE\", \"design space exploration\", \"sweep parameters\", \"optimize\", \"find best config\", or wants iterative parameter tuning.
experiment-bridge
Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says "实现实验", "implement experiments", "bridge", "从计划到跑实验", "deploy the plan", or has an experiment plan ready to execute.
experiment-plan
Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and any LLM / VLM / Diffusion / RL-based contribution.
feishu-notify
Send notifications to Feishu/Lark. Internal utility used by other skills, or manually via /feishu-notify. Supports push-only (webhook) and interactive (bidirectional) modes. Use when user says \"发飞书\", \"notify feishu\", or other skills need to send status updates.
formula-derivation
Structure and derive research formulas when the user wants to 推导公式, derive a theory line, build equations from a problem statement, clarify assumptions, separate formal derivation from remarks, or turn messy theory notes into a paper-ready derivation skeleton. Use for research-style formula development, not for fully rigorous theorem proving once the claim is already fixed.
grant-proposal
Draft a structured grant proposal from research ideas and literature. Supports KAKENHI (Japan), NSF (US), NSFC (China, including 面上/青年/优青/杰青/海外优青/重点), ERC (EU), DFG (Germany), SNSF (Switzerland), ARC (Australia), NWO (Netherlands), and generic formats. Use when user says "write grant", "grant proposal", "申請書", "write KAKENHI", "科研費", "基金申请", "写基金", "NSF proposal", or wants to turn research ideas into a funding application.
idea-creator
Generate and rank research ideas given a broad direction. Use when user says "找idea", "brainstorm ideas", "generate research ideas", "what can we work on", or wants to explore a research area for publishable directions.
idea-discovery
Workflow 1: Full idea discovery pipeline. Orchestrates research-lit → idea-creator → novelty-check → research-review to go from a broad research direction to validated, pilot-tested ideas. Use when user says \"找idea全流程\", \"idea discovery pipeline\", \"从零开始找方向\", or wants the complete idea exploration workflow.
idea-discovery-robot
Workflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded, simulation-first ideas. Use when user says \"robotics idea discovery\", \"机器人找idea\", \"embodied AI idea\", \"机器人方向探索\", \"sim2real 选题\", or wants ideas for manipulation, locomotion, navigation, drones, humanoids, or general robot learning.
mermaid-diagram
Generate Mermaid diagrams from user requirements. Save .mmd and .md files to figures/ with syntax verification. Supports flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, and many more diagram types.
novelty-check
Verify research idea novelty against recent literature. Use when user says "查新", "novelty check", "有没有人做过", "check novelty", or wants to verify a research idea is novel before implementing.
paper-compile
Compile LaTeX paper to PDF, fix errors, and verify output. Use when user says \"编译论文\", \"compile paper\", \"build PDF\", \"生成PDF\", or wants to compile LaTeX into a submission-ready PDF.
paper-figure
Generate publication-quality figures and tables from experiment results. Use when user says \"画图\", \"作图\", \"generate figures\", \"paper figures\", or needs plots for a paper.
paper-illustration
Generate publication-quality AI illustrations for academic papers using Gemini image generation. Creates architecture diagrams, method illustrations with Codex-supervised iterative refinement loop. Use when user says "生成图表", "画架构图", "AI绘图", "paper illustration", "generate diagram", or needs visual figures for papers.
paper-plan
Generate a structured paper outline from review conclusions and experiment results. Use when user says \"写大纲\", \"paper outline\", \"plan the paper\", \"论文规划\", or wants to create a paper plan before writing.
paper-write
Draft LaTeX paper section by section from an outline. Use when user says \"写论文\", \"write paper\", \"draft LaTeX\", \"开始写\", or wants to generate LaTeX content from a paper plan.
paper-writing
Workflow 3: Full paper writing pipeline. Orchestrates paper-plan → paper-figure → paper-write → paper-compile → auto-paper-improvement-loop to go from a narrative report to a polished, submission-ready PDF. Use when user says \"写论文全流程\", \"write paper pipeline\", \"从报告到PDF\", \"paper writing\", or wants the complete paper generation workflow.
pixel-art
Generate pixel art SVG illustrations for READMEs, docs, or slides. Use when user says "画像素图", "pixel art", "make an SVG illustration", "README hero image", or wants a cute visual.
proof-writer
Writes rigorous mathematical proofs for ML/AI theory. Use when asked to prove a theorem, lemma, proposition, or corollary, fill in missing proof steps, formalize a proof sketch, 补全证明, 写证明, 证明某个命题, or determine whether a claimed proof can actually be completed under the stated assumptions.
rebuttal
Workflow 4: Submission rebuttal pipeline. Parses external reviews, enforces coverage and grounding, drafts a safe text-only rebuttal under venue limits, and manages follow-up rounds.
research-lit
Search and analyze research papers, find related work, summarize key ideas. Use when user says "find papers", "related work", "literature review", "what does this paper say", or needs to understand academic papers.
research-pipeline
Full research pipeline: Workflow 1 (idea discovery) → implementation → Workflow 2 (auto review loop). Goes from a broad research direction all the way to a submission-ready paper. Use when user says \"全流程\", \"full pipeline\", \"从找idea到投稿\", \"end-to-end research\", or wants the complete autonomous research lifecycle.
research-refine
Turn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative GPT-5.4 review. Use when the user says "refine my approach", "帮我细化方案", "decompose this problem", "打磨idea", "refine research plan", "细化研究方案", or wants a concrete research method that stays simple, focused, and top-venue ready instead of a vague or overbuilt idea.
research-refine-pipeline
Run an end-to-end workflow that chains `research-refine` and `experiment-plan`. Use when the user wants a one-shot pipeline from vague research direction to focused final proposal plus detailed experiment roadmap, or asks to "串起来", build a pipeline, do it end-to-end, or generate both the method and experiment plan together.
research-review
Get a deep critical review of research from GPT using a secondary Codex agent. Use when user says "review my research", "help me review", "get external review", or wants critical feedback on research ideas, papers, or experimental results.
run-experiment
Deploy and run ML experiments on local or remote GPU servers. Use when user says "run experiment", "deploy to server", "跑实验", or needs to launch training jobs.
embedding-strategies
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
langchain-architecture
Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
rag-implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
absolute-seo
Use this skill when optimizing for search engines across any dimension - technical SEO, on-page optimization, content quality (E-E-A-T), schema markup, Core Web Vitals, local SEO, link building, international SEO, e-commerce SEO, programmatic SEO, AI search optimization (GEO/AEO), or running SEO audits. Triggers on SEO, search ranking, indexing, crawlability, schema, CWV, local pack, GBP, backlinks, hreflang, AI Overviews, featured snippets, or site audit.
azure-active-directory-b2c
Expert knowledge for Azure Active Directory B2C development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing custom policies/user flows, MFA & IdP sign-in, app/API registration, CI/CD deployments, or Sentinel logging, and other Azure Active Directory B2C related development tasks. Not for Azure Information Protection (use azure-information-protection), Azure Role-based access control (use azure-rbac), Azure Security (use azure-security), Azure Portal (use azure-portal).
azure-advisor
Expert knowledge for Azure Advisor development including best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring Advisor alerts, workbooks, RBAC access, bulk fixes, or Resource Graph/Kusto queries, and other Azure Advisor related development tasks. Not for Azure Cost Management (use azure-cost-management), Azure Monitor (use azure-monitor), Azure Policy (use azure-policy), Azure Service Health (use azure-service-health).
azure-ai-vision
Expert knowledge for Azure AI Vision development including decision making, limits & quotas, configuration, integrations & coding patterns, and deployment. Use when using Image Analysis, Read OCR containers, smart-crop thumbnails, background removal, or video frame analysis, and other Azure AI Vision related development tasks. Not for Azure AI Custom Vision (use azure-custom-vision), Azure AI Video Indexer (use azure-video-indexer), Azure AI Document Intelligence (use azure-document-intelligence), Azure AI Immersive Reader (use azure-immersive-reader).
azure-aks-edge-essentials
Expert knowledge for Azure Kubernetes Service Edge Essentials development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing AKS Edge/Arc clusters, Arc connectivity, IoT/OPC/ONVIF workloads, TPM/Key Vault, or Azure Local, and other Azure Kubernetes Service Edge Essentials related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure IoT Edge (use azure-iot-edge), Azure Stack Edge (use azure-stack-edge), Azure Container Apps (use azure-container-apps).
azure-anomaly-detector
Expert knowledge for Azure AI Anomaly Detector development including troubleshooting, best practices, architecture & design patterns, limits & quotas, configuration, and deployment. Use when using univariate/multivariate APIs, Docker/IoT Edge containers, predictive maintenance flows, or regional limits, and other Azure AI Anomaly Detector related development tasks. Not for Azure AI Metrics Advisor (use azure-metrics-advisor), Azure Monitor (use azure-monitor), Azure Machine Learning (use azure-machine-learning).
azure-api-center
Expert knowledge for Azure Api Center development including best practices, security, configuration, integrations & coding patterns, and deployment. Use when automating API linting/registration, customizing the portal, syncing with API gateways, or enforcing design-time governance, and other Azure Api Center related development tasks. Not for Azure API Management (use azure-api-management), Azure App Configuration (use azure-app-configuration), Azure Service Connector (use azure-service-connector).
azure-app-configuration
Expert knowledge for Azure App Configuration development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using feature flags, dynamic refresh, snapshots, Key Vault integration, or App Configuration REST APIs, and other Azure App Configuration related development tasks. Not for Azure App Service (use azure-app-service), Azure Key Vault (use azure-key-vault), Azure Automation (use azure-automation), Azure Policy (use azure-policy).
azure-app-service
Expert knowledge for Azure App Service development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring App Service plans/ASE, VNet integration, managed identity/Key Vault, deployment slots, or TLS/certs, and other Azure App Service related development tasks. Not for Azure Functions (use azure-functions), Azure Spring Apps (use azure-spring-apps), Azure Container Apps (use azure-container-apps), Azure Static Web Apps (use azure-static-web-apps).
azure-app-testing
Expert knowledge for Azure App Testing development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Azure Load Testing with VNets/private endpoints, JMeter/Locust/Playwright, CI/CD pipelines, or Playwright Workspaces, and other Azure App Testing related development tasks. Not for Azure Test Plans (use azure-test-plans), Playwright Workspaces (use azure-playwright-workspaces), Azure DevOps (use azure-devops), Azure App Service (use azure-app-service).
azure-application-gateway
Expert knowledge for Azure Application Gateway development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring listeners/routing, WAF/TLS, AGIC/AKS integration, autoscale/zone redundancy, or v1→v2 migration, and other Azure Application Gateway related development tasks. Not for Azure Front Door (use azure-front-door), Azure Load Balancer (use azure-load-balancer), Azure Traffic Manager (use azure-traffic-manager), Azure Firewall (use azure-firewall).
azure-arc
Expert knowledge for Azure Arc development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing Arc-enabled Kubernetes, servers, SQL MI, Edge RAG, resource bridge, or SCVMM/vSphere workloads, and other Azure Arc related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Virtual Machines (use azure-virtual-machines), Azure Stack Edge (use azure-stack-edge), Azure VMware Solution (use azure-vmware-solution).
azure-architecture
Expert guidance for designing Azure solutions using Azure Architecture. Covers reference architectures, solution ideas, design patterns, technology choices, architecture styles, best practices, anti-patterns, example workloads, and migration guides. Use when designing AKS, data/AI pipelines, hybrid/Arc, DR/multiregion, or AWS/GCP-to-Azure migration solutions, and other Azure Architecture related development tasks.
azure-artifact-signing
Expert knowledge for Azure Artifact Signing development including best practices, decision making, security, configuration, and integrations & coding patterns. Use when managing signing cert lifecycle, RBAC roles, DGSSv2 migration, diagnostic logs, or CI/CD signing workflows, and other Azure Artifact Signing related development tasks.
azure-artifacts
Expert knowledge for Azure Artifacts development including best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing feeds, upstream sources, package publishing/restore, GitHub Actions CI/CD, or npm/NuGet config, and other Azure Artifacts related development tasks. Not for Azure DevOps (use azure-devops), Azure Pipelines (use azure-pipelines), Azure Repos (use azure-repos), Azure Boards (use azure-boards).
azure-attestation
Expert knowledge for Azure Attestation development including troubleshooting, best practices, security, configuration, and deployment. Use when validating attestation tokens, authoring SGX/TPM policies, configuring policy signers, or securing endpoints, and other Azure Attestation related development tasks. Not for Azure Confidential Computing (use azure-confidential-computing), Azure Virtual Enclaves (use azure-virtual-enclaves), Azure Key Vault (use azure-key-vault), Azure Security (use azure-security).
azure-automation
Expert knowledge for Azure Automation development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when automating runbooks/DSC, Hybrid Runbook Workers, Change Tracking, Azure/AWS/365 integrations, or migrations, and other Azure Automation related development tasks. Not for Azure Functions (use azure-functions), Azure Logic Apps (use azure-logic-apps), Azure Scheduler (use azure-scheduler), Azure DevOps (use azure-devops).
azure-backup
Expert knowledge for Azure Backup development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when protecting Azure VMs, SQL/SAP HANA, Files/Blobs, MABS/DPM workloads, or scripting via CLI/PowerShell/REST, and other Azure Backup related development tasks. Not for Azure Site Recovery (use azure-site-recovery).
azure-baremetal-infrastructure
Expert knowledge for Azure Baremetal Infrastructure development including decision making, and architecture & design patterns. Use when choosing NC2 regions/SKUs, planning BareMetal topologies, or integrating NC2 with Azure networking/services, and other Azure Baremetal Infrastructure related development tasks. Not for Azure Large Instances (use azure-large-instances), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Machine Scale Sets (use azure-vm-scalesets), SAP HANA on Azure Large Instances (use azure-sap).
azure-bastion
Expert knowledge for Azure Bastion development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring Bastion for AKS private clusters, VM scale sets, Entra ID auth, hub/spoke VNets, or IP-based cross-VNet access, and other Azure Bastion related development tasks. Not for Azure Virtual Network (use azure-virtual-network), Azure Virtual Machines (use azure-virtual-machines), Azure VPN Gateway (use azure-vpn-gateway), Azure Firewall (use azure-firewall).
azure-batch
Expert knowledge for Azure Batch development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring Batch pools/tasks, autoscale, containerized jobs, SDK/CLI workflows, or render/MPI workloads, and other Azure Batch related development tasks. Not for Azure HDInsight (use azure-hdinsight), Azure Databricks (use azure-databricks), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Virtual Machines (use azure-virtual-machines).
azure-blob-storage
Expert knowledge for Azure Blob Storage development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Data Lake, NFS/SFTP/BlobFuse, static website hosting, encryption options, or SDK-based blob operations, and other Azure Blob Storage related development tasks. Not for Azure Files (use azure-files), Azure Table Storage (use azure-table-storage), Azure Queue Storage (use azure-queue-storage), Azure NetApp Files (use azure-netapp-files).
azure-blueprints
Expert knowledge for Azure Blueprints development including troubleshooting, architecture & design patterns, security, configuration, and integrations & coding patterns. Use when defining Azure Blueprints, mapping built-in compliance sets, automating via CLI/PowerShell/REST, or fixing assignment errors, and other Azure Blueprints related development tasks. Not for Azure Policy (use azure-policy), Azure Resource Manager (use azure-resource-manager), Azure Managed Applications (use azure-managed-applications), Azure Deployment Environments (use azure-deployment-environments).
azure-boards
Expert knowledge for Azure Boards development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing work items, boards/backlogs, WIQL queries, Excel/Office sync, or GitHub/Teams integrations, and other Azure Boards related development tasks. Not for Azure DevOps (use azure-devops), Azure Test Plans (use azure-test-plans), Azure Pipelines (use azure-pipelines), Azure Repos (use azure-repos).
azure-bot-service
Expert knowledge for Azure AI Bot Service development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Azure AI bots with Direct Line/Web Chat, Teams/SMS channels, OAuth/SSO, skills, or proactive messages, and other Azure AI Bot Service related development tasks. Not for Azure Health Bot (use azure-health-bot), Azure Functions (use azure-functions), Azure App Service (use azure-app-service), Azure Logic Apps (use azure-logic-apps).
azure-cache-redis
Expert knowledge for Azure Cache for Redis development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when configuring geo-replication, persistence, Private Link/VNet access, Redis events/webhooks, or ARM/Bicep deployments, and other Azure Cache for Redis related development tasks. Not for Azure Managed Redis (use azure-managed-redis), Azure Cosmos DB (use azure-cosmos-db), Azure Table Storage (use azure-table-storage).
azure-chaos-studio
Expert knowledge for Chaos Studio development including troubleshooting, limits & quotas, security, configuration, and integrations & coding patterns. Use when defining ARM/Bicep experiments, deploying Chaos Agents, using CLI/REST, or integrating with Azure Monitor, and other Chaos Studio related development tasks. Not for Azure Monitor (use azure-monitor), Azure Resiliency (use azure-resiliency), Azure Reliability (use azure-reliability), Azure Site Recovery (use azure-site-recovery).
azure-cloud-adoption-framework
Expert guidance for planning and executing cloud adoption using Azure Cloud Adoption Framework. Covers strategy, planning, readiness & landing zones, adoption patterns, governance, security, operations & management, organization & teams, and adoption scenarios. Use when designing AI agent workloads, AKS/AVS/AVD platforms, SAP/Oracle on Azure, data mesh/analytics, or landing zones, and other Azure Cloud Adoption Framework related development tasks.
azure-cloud-hsm
Expert knowledge for Azure Cloud Hsm development including troubleshooting, best practices, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing PKCS#11 apps, HSM-backed certs/keys, key rotation/backup, quotas/algorithms, or HSM logs, and other Azure Cloud Hsm related development tasks. Not for Azure Dedicated HSM (use azure-dedicated-hsm), Azure Payment Hsm (use azure-payment-hsm), Azure Key Vault (use azure-key-vault), Azure Attestation (use azure-attestation).
azure-cloud-services
Expert knowledge for Azure Cloud Services development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing Cloud Services (extended support), Guest OS versions, Key Vault certs, autoscale rules, or PowerShell automation, and other Azure Cloud Services related development tasks. Not for Azure Networking (use azure-networking), Azure Virtual Machines (use azure-virtual-machines), Azure Resource Manager (use azure-resource-manager), Azure Portal (use azure-portal).
azure-cloud-shell
Expert knowledge for Azure Cloud Shell development including troubleshooting, limits & quotas, and security. Use when debugging Cloud Shell storage/connectivity, session limits, required storage accounts, or private VNet access, and other Azure Cloud Shell related development tasks. Not for Azure Portal (use azure-portal), Azure Resource Manager (use azure-resource-manager).
azure-cognitive-search
Expert knowledge for Azure AI Search development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing indexes/skillsets, vector/semantic search, indexers, RAG knowledge bases, or secure data access, and other Azure AI Search related development tasks. Not for Azure Cosmos DB (use azure-cosmos-db), Azure Data Explorer (use azure-data-explorer), Azure SQL Database (use azure-sql-database), Azure Synapse Analytics (use azure-synapse-analytics).
azure-communication-services
Expert knowledge for Azure Communication Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building ACS calling, chat, SMS, email, Teams interop, Job Router, or contact center solutions, and other Azure Communication Services related development tasks. Not for Azure AI Bot Service (use azure-bot-service), Azure Notification Hubs (use azure-notification-hubs), Azure SignalR Service (use azure-signalr-service), Azure Web PubSub (use azure-web-pubsub).
azure-confidential-computing
Expert knowledge for Azure Confidential Computing development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using SGX/SEV-SNP VMs, AKS confidential containers, attestation/SKR, vTPM, or Fortanix/Key Vault, and other Azure Confidential Computing related development tasks. Not for Azure Virtual Enclaves (use azure-virtual-enclaves), Azure Virtual Machines (use azure-virtual-machines), Azure Dedicated HSM (use azure-dedicated-hsm), Azure Attestation (use azure-attestation).
azure-confidential-ledger
Expert knowledge for Azure Confidential Ledger development including decision making, security, integrations & coding patterns, and deployment. Use when configuring Entra ID/RBAC, client certs, node attestation, .NET SDK, JavaScript UDFs, or ARM/Terraform deployments, and other Azure Confidential Ledger related development tasks. Not for Azure Confidential Computing (use azure-confidential-computing), Azure Key Vault (use azure-key-vault), Azure Dedicated HSM (use azure-dedicated-hsm), Azure Cloud Hsm (use azure-cloud-hsm).
azure-container-apps
Expert knowledge for Azure Container Apps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when running microservices on Azure Container Apps with Dapr, Java/Spring, GitHub Actions CI/CD, VNets, or GPUs, and other Azure Container Apps related development tasks. Not for Azure App Service (use azure-app-service), Azure Functions (use azure-functions), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Red Hat OpenShift (use azure-redhat-openshift).
azure-container-instances
Expert knowledge for Azure Container Instances development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and deployment. Use when configuring ACI networking, standby pools, GitHub Actions deploys, Spot containers, or GPU workloads, and other Azure Container Instances related development tasks. Not for Azure Container Apps (use azure-container-apps), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure App Service (use azure-app-service), Azure Virtual Machines (use azure-virtual-machines).
azure-container-registry
Expert knowledge for Azure Container Registry development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using ACR Tasks, geo-replication, Private Link, connected registries, or image signing with Notation, and other Azure Container Registry related development tasks. Not for Azure Container Apps (use azure-container-apps), Azure Container Instances (use azure-container-instances), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Red Hat OpenShift (use azure-redhat-openshift).
azure-container-storage
Expert knowledge for Azure Container Storage development including troubleshooting, decision making, limits & quotas, security, and configuration. Use when configuring CMK-encrypted Elastic SAN volumes, ACS pools, LRS/ZRS redundancy, volume resize, or v1 installs, and other Azure Container Storage related development tasks. Not for Azure Blob Storage (use azure-blob-storage), Azure Files (use azure-files), Azure Elastic SAN (use azure-elastic-san), Azure NetApp Files (use azure-netapp-files).
azure-content-safety
Expert knowledge for Azure AI Content Safety development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Content Safety APIs, Docker containers, blocklists, groundedness checks, or custom safety categories, and other Azure AI Content Safety related development tasks. Not for Azure Information Protection (use azure-information-protection), Azure Security (use azure-security), Azure Sentinel (use azure-sentinel), Azure Defender For Cloud (use azure-defender-for-cloud).
azure-copilot
Expert knowledge for Azure Copilot development including troubleshooting, decision making, architecture & design patterns, security, configuration, and integrations & coding patterns. Use when sizing VMs, generating Bicep/Terraform, configuring Cosmos DB storage, or debugging App Service/VM disks, and other Azure Copilot related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure Machine Learning (use azure-machine-learning), Azure AI Search (use azure-cognitive-search), Azure AI Bot Service (use azure-bot-service).
azure-cosmos-db
Expert knowledge for Azure Cosmos DB development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Cosmos DB APIs (NoSQL, Mongo, Cassandra, Postgres), change feed, global distribution, vector search, or HTAP, and other Azure Cosmos DB related development tasks. Not for Azure Table Storage (use azure-table-storage), Azure SQL Database (use azure-sql-database), Azure Database for MySQL (use azure-database-mysql), Azure Database for PostgreSQL (use azure-database-postgresql).
azure-custom-vision
Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment. Use when exporting Custom Vision models, calling prediction APIs, using ONNX/TensorFlow, managing CMK/RBAC, or Smart Labeler, and other Azure AI Custom Vision related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI services (use microsoft-foundry-tools), Azure Machine Learning (use azure-machine-learning), Azure AI Foundry Local (use microsoft-foundry-local).
azure-cyclecloud
Expert knowledge for Azure CycleCloud development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when automating CycleCloud via API/CLI, managing Slurm/HPC clusters, tuning autoscaling, or securing access/SSL, and other Azure CycleCloud related development tasks. Not for Azure Batch (use azure-batch), Azure HPC Cache (use azure-hpc-cache), Azure Virtual Machines (use azure-virtual-machines).
azure-data-api-builder
Expert knowledge for Azure Data Api Builder development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when defining DAB entities over SQL/Cosmos, exposing REST/GraphQL, securing auth/RLS, or deploying via Docker/Azure, and other Azure Data Api Builder related development tasks. Not for Azure API Management (use azure-api-management), Azure Functions (use azure-functions), Azure App Service (use azure-app-service), Azure Logic Apps (use azure-logic-apps).
azure-data-box-family
Expert knowledge for Azure Data Box development including troubleshooting, best practices, limits & quotas, security, configuration, and integrations & coding patterns. Use when handling Data Box/Disk orders, SMB/NFS/REST copies, Key Vault CMKs, blob tiering, or VHD-to-managed-disk flows, and other Azure Data Box related development tasks. Not for Azure Import Export (use azure-import-export), Azure Stack Edge (use azure-stack-edge), Azure Virtual Machines (use azure-virtual-machines), Azure Blob Storage (use azure-blob-storage).
azure-data-explorer
Expert knowledge for Azure Data Explorer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring ADX auth/networking, managing cluster limits, integrating via SQL/ODBC/Functions, or designing DR/BC, and other Azure Data Explorer related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Stream Analytics (use azure-stream-analytics), Azure HDInsight (use azure-hdinsight), Azure Databricks (use azure-databricks).
azure-data-factory
Expert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing ADF pipelines, mapping data flows, SHIR/SSIS IR, SAP CDC, or CI/CD deployments, and other Azure Data Factory related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics), Azure Data Explorer (use azure-data-explorer).
azure-data-manager-for-agri
Expert knowledge for Azure Data Manager for Agriculture development including limits & quotas, security, configuration, and integrations & coding patterns. Use when setting up BYOL creds/Private Link, ag data ingestion/IoT, AI/nutrient APIs, throttling, or Event Grid logs, and other Azure Data Manager for Agriculture related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Data Factory (use azure-data-factory), Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks).
azure-data-science-vm
Expert knowledge for Azure Data Science Virtual Machines development including troubleshooting, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when managing DSVM images/tools, IaC deployment (Bicep/ARM), Key Vault secrets, MLflow, or GPU/Jupyter issues, and other Azure Data Science Virtual Machines related development tasks. Not for Azure Virtual Machines (use azure-virtual-machines), Azure Machine Learning (use azure-machine-learning), Azure Databricks (use azure-databricks), Azure HDInsight (use azure-hdinsight).
azure-data-share
Expert knowledge for Azure Data Share development including troubleshooting, decision making, security, configuration, and deployment. Use when estimating Data Share costs, managing invitations/RBAC, cross-region deployments, dataset mapping, or automation, and other Azure Data Share related development tasks. Not for Azure Data Box (use azure-data-box-family), Azure Import Export (use azure-import-export), Azure Open Datasets (use azure-open-datasets), Azure Data Explorer (use azure-data-explorer).
azure-database-migration
Expert knowledge for Azure Database Migration service development including troubleshooting, decision making, limits & quotas, security, integrations & coding patterns, and deployment. Use when planning Azure DMS migrations for MySQL, PostgreSQL, SQL Server/SSIS, SQL MI, or MongoDB workloads, and other Azure Database Migration service related development tasks. Not for Azure Migrate (use azure-migrate), Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines).
azure-database-mysql
Expert knowledge for Azure Database for MySQL development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when planning MySQL Flexible Server HA/BCDR, CI/CD deployments, VNet/Private Link, read replicas, or AKS connectivity, and other Azure Database for MySQL related development tasks. Not for Azure Database for MariaDB (use azure-database-mariadb), Azure Database for PostgreSQL (use azure-database-postgresql), Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance).
azure-database-postgresql
Expert knowledge for Azure Database for PostgreSQL development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when tuning Azure PostgreSQL performance, securing VNets/TLS, using pgvector with OpenAI, or scaling Flexible Server, and other Azure Database for PostgreSQL related development tasks. Not for Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), Azure Cosmos DB (use azure-cosmos-db).
azure-databricks
Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Unity Catalog, Lakehouse/Lakebase, Lakeflow, Delta Sharing, Vector Search, or model serving, and other Azure Databricks related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Machine Learning (use azure-machine-learning), Azure Data Factory (use azure-data-factory).
azure-ddos-protection
Expert knowledge for Azure DDos Protection development including troubleshooting, best practices, decision making, architecture & design patterns, security, and configuration. Use when enabling DDoS IP/Network Protection plans, parsing DDoS logs, using Rapid Response, or enforcing Azure Policy, and other Azure DDos Protection related development tasks. Not for Azure Firewall (use azure-firewall), Azure Web Application Firewall (use azure-web-application-firewall), Azure Virtual Network (use azure-virtual-network), Azure Virtual Network Manager (use azure-virtual-network-manager).
azure-dedicated-hsm
Expert knowledge for Azure Dedicated HSM development including troubleshooting, decision making, architecture & design patterns, security, and deployment. Use when sizing HSM clusters, configuring VNets/ExpressRoute, planning Managed HSM migration, or resolving vendor support issues, and other Azure Dedicated HSM related development tasks. Not for Azure Cloud Hsm (use azure-cloud-hsm), Azure Key Vault (use azure-key-vault), Azure Payment Hsm (use azure-payment-hsm).
azure-defender-for-cloud
Expert knowledge for Azure Defender For Cloud development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when securing VMs/servers, AKS/containers, SQL/Storage, CI/CD/DevOps, or multi‑cloud (AWS/GCP) with Defender for Cloud, and other Azure Defender For Cloud related development tasks. Not for Azure Defender For Iot (use azure-defender-for-iot), Azure DDos Protection (use azure-ddos-protection), Azure Firewall (use azure-firewall), Azure Security (use azure-security).
azure-defender-for-iot
Expert knowledge for Azure Defender For Iot development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when deploying OT sensors, configuring micro agents, setting up traffic mirroring, or integrating with Sentinel/SIEM, and other Azure Defender For Iot related development tasks. Not for Azure Defender For Cloud (use azure-defender-for-cloud), Azure Security (use azure-security), Azure External Attack Surface Management (use azure-external-attack-surface-management), Azure Sentinel (use azure-sentinel).
azure-deployment-environments
Expert knowledge for Azure Deployment Environments development including troubleshooting, best practices, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing ADE catalogs, environment.yaml schemas, custom images, RBAC/roles, or CI/CD image pipelines, and other Azure Deployment Environments related development tasks. Not for Azure DevTest Labs (use azure-devtest-labs), Azure Dev Box (use azure-dev-box), Azure Integration Environments (use azure-integration-environments), Azure Managed Applications (use azure-managed-applications).
azure-dev-box
Expert knowledge for Azure Dev Box development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing Dev Box images, catalogs, policies, schedules, RBAC/SSO access, or VS Code dev tunnel workflows, and other Azure Dev Box related development tasks. Not for Azure DevTest Labs (use azure-devtest-labs), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Desktop (use azure-virtual-desktop).
azure-devops
Expert knowledge for Azure DevOps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing Boards/work items, pipelines, Analytics/OData/Power BI, agent pools, or Azure DevOps Server deployments, and other Azure DevOps related development tasks. Not for Azure Boards (use azure-boards), Azure Pipelines (use azure-pipelines), Azure Repos (use azure-repos), Azure Test Plans (use azure-test-plans).
azure-devtest-labs
Expert knowledge for Azure DevTest Labs development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing DevTest Labs VMs, images/artifacts, ARM/CLI automation, RBAC/Key Vault security, or hub-spoke lab setups, and other Azure DevTest Labs related development tasks. Not for Azure Dev Box (use azure-dev-box), Azure Lab Services (use azure-lab-services), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Desktop (use azure-virtual-desktop).
azure-digital-twins
Expert knowledge for Azure Digital Twins development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when modeling with DTDL, querying twin graphs, integrating IoT Hub/Functions, or migrating control plane APIs, and other Azure Digital Twins related development tasks. Not for Azure IoT Hub (use azure-iot-hub), Azure IoT Central (use azure-iot-central), Azure IoT Edge (use azure-iot-edge), Azure IoT Operations (use azure-iot-operations).
azure-dns
Expert knowledge for Azure DNS development including troubleshooting, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing Azure DNS zones/records, DNSSEC, Private DNS/resolvers, reverse DNS, or zone file import/export, and other Azure DNS related development tasks. Not for Azure Traffic Manager (use azure-traffic-manager), Azure Front Door (use azure-front-door), Azure Virtual Network (use azure-virtual-network), Azure Virtual Network Manager (use azure-virtual-network-manager).
azure-document-intelligence
Expert knowledge for Azure AI Document Intelligence development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AnalyzeDocument/Markdown APIs, custom models, containers/Docker, SAS/managed identity, or VNets, and other Azure AI Document Intelligence related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure AI Search (use azure-cognitive-search), Azure AI Language (use azure-language-service), Azure AI Immersive Reader (use azure-immersive-reader).
azure-education-hub
Expert knowledge for Azure Education Hub development including troubleshooting, and limits & quotas. Use when managing Azure for Students credits, yearly quotas, renewals, or Dev Tools for Teaching sign-in issues, and other Azure Education Hub related development tasks.
azure-elastic-san
Expert knowledge for Azure Elastic SAN development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when scripting Elastic SAN volumes, tuning AVS datastores, using CMK encryption, sizing for IOPS, or running clustered SQL, and other Azure Elastic SAN related development tasks. Not for Azure Blob Storage (use azure-blob-storage), Azure Files (use azure-files), Azure NetApp Files (use azure-netapp-files), Azure Managed Lustre (use azure-managed-lustre).
azure-energy-data-services
Expert knowledge for Azure Energy Data Services development including troubleshooting, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when configuring ADME partitions/CORS, managing ACLs/legal tags, deploying Geospatial CZ/Admin UI, or debugging manifest ingestion, and other Azure Energy Data Services related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Synapse Analytics (use azure-synapse-analytics), Azure Data Factory (use azure-data-factory), Azure Databricks (use azure-databricks).
azure-event-grid
Expert knowledge for Azure Event Grid development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when securing Event Grid endpoints, configuring topics/subscriptions, using MQTT, integrating webhooks/SaaS, or deploying on Arc Kubernetes, and other Azure Event Grid related development tasks. Not for Azure Service Bus (use azure-service-bus), Azure Event Hubs (use azure-event-hubs), Azure Notification Hubs (use azure-notification-hubs), Azure Logic Apps (use azure-logic-apps).
azure-event-hubs
Expert knowledge for Azure Event Hubs development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Kafka clients/Streams, .NET SDK, Flink/Spark, geo-disaster recovery, or Premium processing units, and other Azure Event Hubs related development tasks. Not for Azure Service Bus (use azure-service-bus), Azure Event Grid (use azure-event-grid), Azure Notification Hubs (use azure-notification-hubs), Azure Stream Analytics (use azure-stream-analytics).
azure-expressroute
Expert knowledge for Azure ExpressRoute development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing ExpressRoute circuits/gateways, BGP routing, Global Reach, FastPath, or S2S VPN coexistence, and other Azure ExpressRoute related development tasks. Not for Azure Internet Peering (use azure-internet-peering), Azure Peering Service (use azure-peering-service), Azure Virtual WAN (use azure-virtual-wan), Azure VPN Gateway (use azure-vpn-gateway).
azure-extended-zones
Expert knowledge for Azure Extended Zones development including decision making, limits & quotas, security, and configuration. Use when setting Azure Policy for Extended Zones, encrypting VM disks with CMK, optimizing reservations, or managing quotas, and other Azure Extended Zones related development tasks. Not for Azure Reliability (use azure-reliability), Azure Resiliency (use azure-resiliency), Azure Virtual Network (use azure-virtual-network), Azure Virtual WAN (use azure-virtual-wan).
azure-files
Expert knowledge for Azure Files development including best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing Azure Files tiers/redundancy, File Sync/DFS, AD/Kerberos auth, AKS CSI, or app SDK access, and other Azure Files related development tasks. Not for Azure Blob Storage (use azure-blob-storage), Azure NetApp Files (use azure-netapp-files), Azure Virtual Machines (use azure-virtual-machines).
azure-firewall
Expert knowledge for Azure Firewall development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when choosing Firewall SKUs, designing hub-spoke/forced tunneling, configuring DNAT/SNAT/app rules, TLS inspection, or DNS proxy, and other Azure Firewall related development tasks. Not for Azure Web Application Firewall (use azure-web-application-firewall), Azure Firewall Manager (use azure-firewall-manager), Azure Virtual Network (use azure-virtual-network), Azure Virtual WAN (use azure-virtual-wan).
azure-firewall-manager
Expert knowledge for Azure Firewall Manager development including best practices, decision making, security, and configuration. Use when managing DDoS plans, WAF policies, DNS proxy/FQDN rules, IP Groups, or secured virtual hub vs VNet, and other Azure Firewall Manager related development tasks. Not for Azure Firewall (use azure-firewall), Azure Virtual Network Manager (use azure-virtual-network-manager), Azure Network Function Manager (use azure-network-function-manager), Azure Networking (use azure-networking).
azure-firmware-analysis
Expert knowledge for Azure Firmware Analysis development including troubleshooting, best practices, limits & quotas, security, integrations & coding patterns, and deployment. Use when scanning firmware images, interpreting SBOM paths, using UEFI analysis, or automating uploads via CLI/PowerShell/Python, and other Azure Firmware Analysis related development tasks. Not for Azure Defender For Iot (use azure-defender-for-iot), Azure IoT Edge (use azure-iot-edge), Azure IoT Hub (use azure-iot-hub), Azure Confidential Computing (use azure-confidential-computing).
azure-fluid-relay
Expert knowledge for Azure Fluid Relay development including troubleshooting, best practices, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AzureClient, audience APIs, JWT auth tokens, container recovery, or Static Web Apps hosting, and other Azure Fluid Relay related development tasks. Not for Azure Web PubSub (use azure-web-pubsub), Azure SignalR Service (use azure-signalr-service), Azure Relay (use azure-relay), Azure Service Bus (use azure-service-bus).
azure-front-door
Expert knowledge for Azure Front Door development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring Front Door routing/caching, WAF/TLS, Private Link origins, rules engine, or classic-to-Std/Prm migrations, and other Azure Front Door related development tasks. Not for Azure Application Gateway (use azure-application-gateway), Azure Traffic Manager (use azure-traffic-manager), Azure Load Balancer (use azure-load-balancer), Azure Web Application Firewall (use azure-web-application-firewall).
azure-functions
Expert knowledge for Azure Functions development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building HTTP/event-triggered apps, Durable Functions, Flex/Consumption hosting, containerized Functions, or CI/CD deployments, and other Azure Functions related development tasks. Not for Azure App Service (use azure-app-service), Azure Logic Apps (use azure-logic-apps), Azure Container Apps (use azure-container-apps), Azure Kubernetes Service (AKS) (use azure-kubernetes-service).
azure-hdinsight
Expert knowledge for Azure HDInsight development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when working with HDInsight Spark/Hive/Kafka/HBase clusters, Ambari, VNet networking, or Azure SQL/Cosmos DB integration, and other Azure HDInsight related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics).
azure-health-bot
Expert knowledge for Azure Health Bot development including best practices, decision making, architecture & design patterns, security, configuration, and integrations & coding patterns. Use when configuring Health Bot channels, web chat/voice embeds, management APIs, orchestrator flows, or cost estimation, and other Azure Health Bot related development tasks. Not for Azure AI Bot Service (use azure-bot-service), Azure Communication Services (use azure-communication-services), Azure Health Data Services (use azure-health-data-services).
azure-health-data-services
Expert knowledge for Azure Health Data Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using FHIR/DICOM/MedTech services, de-identification APIs, bulk ops, Synapse pipelines, or Private Link, and other Azure Health Data Services related development tasks. Not for Azure Health Bot (use azure-health-bot), Azure API Management (use azure-api-management), Azure Data Factory (use azure-data-factory), Azure Synapse Analytics (use azure-synapse-analytics).
azure-hpc-cache
Expert knowledge for Azure HPC Cache development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring HPC Cache namespaces, NFS/Blob targets, client access, data ingest scripts, or cache failover, and other Azure HPC Cache related development tasks. Not for Azure Managed Lustre (use azure-managed-lustre), Azure NetApp Files (use azure-netapp-files), Azure Batch (use azure-batch), Azure Virtual Machines (use azure-virtual-machines).
azure-immersive-reader
Expert knowledge for Azure AI Immersive Reader development including best practices, limits & quotas, security, configuration, and integrations & coding patterns. Use when tuning read-aloud/translation, storing user prefs, Entra auth setup, JS SDK integration, or language support, and other Azure AI Immersive Reader related development tasks. Not for Azure AI Language (use azure-language-service), Azure AI Speech (use azure-speech), Azure Translator (use azure-translator), Azure AI services (use microsoft-foundry-tools).
azure-impact-reporting
Expert knowledge for Azure Impact Reporting development including troubleshooting, configuration, and integrations & coding patterns. Use when wiring Impact Reporting to Monitor alerts, Logic Apps, HPC node health, Service Health, or its insights API, and other Azure Impact Reporting related development tasks. Not for Azure Carbon Optimization (use azure-carbon-optimization), Azure Cost Management (use azure-cost-management), Azure Monitor (use azure-monitor), Azure Policy (use azure-policy).
azure-import-export
Expert knowledge for Azure Import Export development including troubleshooting, limits & quotas, and security. Use when setting CMK via Key Vault, validating drive/OS support, or debugging Import/Export job and log issues, and other Azure Import Export related development tasks. Not for Azure Data Box (use azure-data-box-family), Azure Blob Storage (use azure-blob-storage), Azure Files (use azure-files).
azure-industry
Expert knowledge for Azure Industry development including troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring Community Training on Azure, Teams app embedding, Azure AD/B2C login, APIs, or Android app builds, and other Azure Industry related development tasks.
azure-information-protection
Expert knowledge for Azure Information Protection development including best practices, decision making, configuration, and deployment. Use when choosing Azure RMS vs AD RMS, migrating keys/policies, configuring RMS connector/MSIPC, or monitoring RMS logs, and other Azure Information Protection related development tasks. Not for Azure Key Vault (use azure-key-vault), Azure Security (use azure-security), Azure Defender For Cloud (use azure-defender-for-cloud), Azure Sentinel (use azure-sentinel).
azure-iot
Expert knowledge for Azure IoT development including architecture & design patterns, and integrations & coding patterns. Use when using MQTT, IoT Plug and Play, DPS/IoT Hub, SAP ERP integration, or industrial IoT reference architectures, and other Azure IoT related development tasks. Not for Azure IoT Hub (use azure-iot-hub), Azure IoT Edge (use azure-iot-edge), Azure IoT Central (use azure-iot-central), Azure Defender For Iot (use azure-defender-for-iot).
azure-iot-central
Expert knowledge for Azure IoT Central development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing device templates, data export, IoT Edge gateways, REST/CLI automation, or device bridge pipelines, and other Azure IoT Central related development tasks. Not for Azure IoT Hub (use azure-iot-hub), Azure IoT Edge (use azure-iot-edge), Azure IoT (use azure-iot), Azure Digital Twins (use azure-digital-twins).
azure-iot-edge
Expert knowledge for Azure IoT Edge development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring IoT Edge modules/devices, DPS provisioning, EFLOW on Windows, gateways, or GPU-accelerated workloads, and other Azure IoT Edge related development tasks. Not for Azure IoT Hub (use azure-iot-hub), Azure IoT Central (use azure-iot-central), Azure IoT Operations (use azure-iot-operations), Azure Stack Edge (use azure-stack-edge).
azure-iot-hub
Expert knowledge for Azure IoT Hub development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when provisioning via DPS, managing twins/jobs/routing, using device streams, or integrating Device Update, and other Azure IoT Hub related development tasks. Not for Azure IoT (use azure-iot), Azure IoT Central (use azure-iot-central), Azure IoT Edge (use azure-iot-edge), Azure Defender For Iot (use azure-defender-for-iot).
azure-iot-operations
Expert knowledge for Azure IoT Operations development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring MQTT broker, data flows/graphs, OPC UA/ONVIF connectors, WASM transforms, or Prometheus/Grafana, and other Azure IoT Operations related development tasks. Not for Azure IoT (use azure-iot), Azure IoT Hub (use azure-iot-hub), Azure IoT Edge (use azure-iot-edge), Azure Defender For Iot (use azure-defender-for-iot).
azure-key-vault
Expert knowledge for Azure Key Vault development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing keys/secrets/certs, RBAC vs access policies, Private Link, BYOK/HSM, or SDK/API integrations, and other Azure Key Vault related development tasks. Not for Azure Dedicated HSM (use azure-dedicated-hsm), Azure Cloud Hsm (use azure-cloud-hsm), Azure Payment Hsm (use azure-payment-hsm), Azure Information Protection (use azure-information-protection).
azure-kubernetes-service
Expert knowledge for Azure Kubernetes Service (AKS) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing AKS identity/RBAC, networking/ingress, autoscaling node pools, Fleet multi-cluster, or AI/ML/GPU workloads, and other Azure Kubernetes Service (AKS) related development tasks. Not for Azure Container Apps (use azure-container-apps), Azure Container Instances (use azure-container-instances), Azure Red Hat OpenShift (use azure-redhat-openshift), Azure Virtual Machines (use azure-virtual-machines).
azure-lab-services
Expert knowledge for Azure Lab Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring lab plans, VM templates/schedules, VNet-integrated labs, GPU/nested virtualization, or Canvas/Teams integration, and other Azure Lab Services related development tasks. Not for Azure DevTest Labs (use azure-devtest-labs), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Desktop (use azure-virtual-desktop).
azure-language-service
Expert knowledge for Azure AI Language development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building CLU intents, custom NER, text classification, CQA/FAQ, sentiment, or summarization solutions, and other Azure AI Language related development tasks. Not for Azure AI Search (use azure-cognitive-search), Azure AI Document Intelligence (use azure-document-intelligence), Azure AI Immersive Reader (use azure-immersive-reader), Azure Translator (use azure-translator).
azure-large-instances
Expert knowledge for Azure Large Instances development including troubleshooting, limits & quotas, and integrations & coding patterns. Use when configuring Epic SKUs, sizing volume groups, tuning EHR storage, or resolving Epic–ALI connectivity/perf issues, and other Azure Large Instances related development tasks. Not for Azure Baremetal Infrastructure (use azure-baremetal-infrastructure), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Machine Scale Sets (use azure-vm-scalesets), Azure HPC Cache (use azure-hpc-cache).
azure-lighthouse
Expert knowledge for Azure Lighthouse development including decision making, security, configuration, integrations & coding patterns, and deployment. Use when designing multi-tenant delegations, RBAC/AOBO/PIM access, policy-based onboarding, Arc/Sentinel integrations, or Marketplace offers, and other Azure Lighthouse related development tasks. Not for Azure Arc (use azure-arc), Azure Managed Applications (use azure-managed-applications), Azure Resource Manager (use azure-resource-manager).
azure-load-balancer
Expert knowledge for Azure Load Balancer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring frontends/backends, health probes, SNAT/outbound, IMDS/metrics APIs, or Basic→Standard migrations, and other Azure Load Balancer related development tasks. Not for Azure Application Gateway (use azure-application-gateway), Azure Front Door (use azure-front-door), Azure Traffic Manager (use azure-traffic-manager), Azure NAT Gateway (use azure-nat-gateway).
azure-local
Expert knowledge for Azure Local development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when planning Azure Local clusters, SDN/rack designs, Arc/VM networking, disconnected ops, or VMware migrations, and other Azure Local related development tasks. Not for Microsoft Foundry Local (use microsoft-foundry-local), Azure Stack Edge (use azure-stack-edge), Azure Kubernetes Service Edge Essentials (use azure-aks-edge-essentials), Azure IoT Edge (use azure-iot-edge).
azure-logic-apps
Expert knowledge for Azure Logic Apps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Logic Apps with B2B/EDI, SAP/IBM/FTP connectors, AI/OpenAI calls, inline JavaScript, or CI/CD deployments, and other Azure Logic Apps related development tasks. Not for Azure Functions (use azure-functions), Azure API Management (use azure-api-management), Azure Service Bus (use azure-service-bus), Azure Event Grid (use azure-event-grid).
azure-machine-learning
Expert knowledge for Azure Machine Learning development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Azure ML workspaces, AutoML, Prompt Flow, online/batch endpoints, or SDK/CLI v2 deployments, and other Azure Machine Learning related development tasks. Not for Azure Databricks (use azure-databricks), Azure Synapse Analytics (use azure-synapse-analytics), Azure Data Science Virtual Machines (use azure-data-science-vm), Azure HDInsight (use azure-hdinsight).
azure-managed-applications
Expert knowledge for Azure Managed Applications development including limits & quotas, security, configuration, and deployment. Use when designing createUiDefinition UIs, JIT access, managed identities, Key Vault/CMK, StorageAccountSelector, or Bicep-based catalog deployments, and other Azure Managed Applications related development tasks. Not for Azure Lighthouse (use azure-lighthouse), Azure Partner Solutions (use azure-partner-solutions), Azure Resource Manager (use azure-resource-manager), Azure Blueprints (use azure-blueprints).
azure-managed-grafana
Expert knowledge for Azure Managed Grafana development including troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when integrating Azure Monitor/Prometheus, configuring data sources/alerts, Entra auth, private endpoints, or HA workspaces, and other Azure Managed Grafana related development tasks. Not for Azure Monitor (use azure-monitor), Azure Application Gateway (use azure-application-gateway), Azure Virtual Machines (use azure-virtual-machines), Azure Kubernetes Service (AKS) (use azure-kubernetes-service).
azure-managed-lustre
Expert knowledge for Azure Managed Lustre development including troubleshooting, best practices, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when mounting AMLFS, integrating with Blob auto-import/export, using AKS CSI, setting CMK/root squash, or tuning performance, and other Azure Managed Lustre related development tasks. Not for Azure HPC Cache (use azure-hpc-cache), Azure NetApp Files (use azure-netapp-files), Azure Blob Storage (use azure-blob-storage), Azure Elastic SAN (use azure-elastic-san).
azure-managed-redis
Expert knowledge for Azure Managed Redis development including troubleshooting, best practices, decision making, security, configuration, integrations & coding patterns, and deployment. Use when using Entra auth, geo-replication, persistence, Private Link, ARM/Bicep deploys, or Azure Functions bindings, and other Azure Managed Redis related development tasks. Not for Azure Cache for Redis (use azure-cache-redis).
azure-maps
Expert knowledge for Azure Maps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when using Azure Maps web SDK, search/geocoding, routing/traffic, weather APIs, or migrating from Bing/Google Maps, and other Azure Maps related development tasks.
azure-metrics-advisor
Expert knowledge for Azure AI Metrics Advisor development including decision making, security, configuration, and integrations & coding patterns. Use when configuring data feeds, tuning anomaly detection, managing alert hooks, or integrating the Metrics Advisor APIs, and other Azure AI Metrics Advisor related development tasks. Not for Azure AI Anomaly Detector (use azure-anomaly-detector), Azure Monitor (use azure-monitor), Azure Machine Learning (use azure-machine-learning).
azure-migrate
Expert knowledge for Azure Migrate development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AppCAT/CAST, Site Recovery REST APIs, Azure Migrate appliance, Arc-based discovery, or Resource Mover, and other Azure Migrate related development tasks. Not for Azure Database Migration service (use azure-database-migration), Azure Site Recovery (use azure-site-recovery), Azure Virtual Machines (use azure-virtual-machines), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines).
azure-monitor
Expert knowledge for Azure Monitor development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when working with Log Analytics workspaces, DCRs, AMA/agents, Application Insights, or Prometheus/Container Insights, and other Azure Monitor related development tasks. Not for Azure Managed Grafana (use azure-managed-grafana), Azure Network Watcher (use azure-network-watcher), Azure Service Health (use azure-service-health), Azure Defender For Cloud (use azure-defender-for-cloud).
azure-nat-gateway
Expert knowledge for Azure NAT Gateway development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, configuration, and deployment. Use when planning SNAT capacity, configuring IPs/flow logs, fixing outbound failures, or choosing Standard vs StandardV2, and other Azure NAT Gateway related development tasks. Not for Azure Firewall (use azure-firewall), Azure Load Balancer (use azure-load-balancer), Azure Virtual Network (use azure-virtual-network), Azure Virtual WAN (use azure-virtual-wan).
azure-netapp-files
Expert knowledge for Azure NetApp Files development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when deploying ANF for SAP HANA/Oracle, AzAcSnap, ZRS, AVS, REST/PowerShell, or S3/OneLake integrations, and other Azure NetApp Files related development tasks. Not for Azure Files (use azure-files), Azure Blob Storage (use azure-blob-storage), Azure Elastic SAN (use azure-elastic-san), Azure Managed Lustre (use azure-managed-lustre).
azure-network-function-manager
Expert knowledge for Azure Network Function Manager development including security, and configuration. Use when setting up NF Manager prerequisites, resource groups, managed identities, role assignments, or secure NF access, and other Azure Network Function Manager related development tasks. Not for Azure Firewall Manager (use azure-firewall-manager), Azure Virtual Network Manager (use azure-virtual-network-manager), Azure Virtual Network (use azure-virtual-network), Azure Virtual WAN (use azure-virtual-wan).
azure-network-watcher
Expert knowledge for Azure Network Watcher development including troubleshooting, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring Connection Monitor, NSG/VNet flow logs, packet capture, Traffic Analytics, or Sentinel integrations, and other Azure Network Watcher related development tasks. Not for Azure Monitor (use azure-monitor), Azure Networking (use azure-networking), Azure Virtual Network (use azure-virtual-network), Azure Virtual Network Manager (use azure-virtual-network-manager).
azure-networking
Expert knowledge for Azure Networking development including troubleshooting, best practices, decision making, architecture & design patterns, security, and integrations & coding patterns. Use when designing hub-spoke VNets, Azure Firewall/NSG rules, WAF (App GW/Front Door), Accelerated Networking, or Resource Graph queries, and other Azure Networking related development tasks. Not for Azure Virtual Network (use azure-virtual-network), Azure Virtual Network Manager (use azure-virtual-network-manager), Azure Virtual WAN (use azure-virtual-wan), Azure Network Watcher (use azure-network-watcher).
azure-notification-hubs
Expert knowledge for Azure Notification Hubs development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when integrating FCM/APNS/WNS, targeting devices/users with tags/templates, scheduling pushes, or securing hubs with Private Link, and other Azure Notification Hubs related development tasks. Not for Azure Event Hubs (use azure-event-hubs), Azure Service Bus (use azure-service-bus), Azure Web PubSub (use azure-web-pubsub), Azure Communication Services (use azure-communication-services).
azure-operator-nexus
Expert knowledge for Azure Operator Nexus development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and deployment. Use when managing Nexus clusters, network fabric (BGP/VRF/ACL/QoS), near-edge storage, upgrades, or RMA workflows, and other Azure Operator Nexus related development tasks. Not for Azure Network Function Manager (use azure-network-function-manager), Azure Networking (use azure-networking), Azure Virtual Network Manager (use azure-virtual-network-manager), Azure Virtual WAN (use azure-virtual-wan).
azure-operator-service-manager
Expert knowledge for Azure Operator Service Manager development including troubleshooting, best practices, security, configuration, and integrations & coding patterns. Use when onboarding CNFs/VNFs, designing config groups, using ACR-backed artifacts, Private Link, or AOSM CLI, and other Azure Operator Service Manager related development tasks. Not for Azure Operator Insights (use azure-operator-insights), Azure Operator Nexus (use azure-operator-nexus), Azure Network Function Manager (use azure-network-function-manager), Azure Networking (use azure-networking).
azure-oracle
Expert knowledge for Azure Oracle development including troubleshooting, decision making, security, configuration, and integrations & coding patterns. Use when configuring Oracle TDE with Key Vault, VNET topology, Exadata deployment, region selection, or Azure Monitor/Sentinel logs, and other Azure Oracle related development tasks. Not for Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), SAP HANA on Azure Large Instances (use azure-sap).
azure-osconfig
Expert knowledge for Azure Osconfig development including troubleshooting, security, configuration, and integrations & coding patterns. Use when running OSConfig via IoT Hub for commands, SSH posture, agent health, Windows baselines, or LAPS, and other Azure Osconfig related development tasks. Not for Azure Update Manager (use azure-update-manager), Azure Automation (use azure-automation), Azure Policy (use azure-policy).
azure-partner-solutions
Expert knowledge for Azure Partner Solutions development including troubleshooting, decision making, architecture & design patterns, security, configuration, and integrations & coding patterns. Use when using Service Connector, Confluent Cloud, MongoDB Atlas, Dynatrace APM, or Palo Alto Cloud NGFW on Azure, and other Azure Partner Solutions related development tasks. Not for Azure Industry (use azure-industry), Azure Managed Applications (use azure-managed-applications), Azure Lighthouse (use azure-lighthouse), Azure Networking (use azure-networking).
azure-payment-hsm
Expert knowledge for Azure Payment Hsm development including troubleshooting, best practices, decision making, architecture & design patterns, security, and configuration. Use when configuring Payment HSM VNets/FastPath, payShield Manager access, HA/DR topologies, SKUs, or traffic inspection, and other Azure Payment Hsm related development tasks. Not for Azure Dedicated HSM (use azure-dedicated-hsm), Azure Cloud Hsm (use azure-cloud-hsm), Azure Key Vault (use azure-key-vault), Azure Information Protection (use azure-information-protection).
azure-personalizer
Expert knowledge for Azure AI Personalizer development including troubleshooting, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when tuning exploration/apprentice mode, single vs multi-slot calls, model export, quotas, or local inference SDK, and other Azure AI Personalizer related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure AI Search (use azure-cognitive-search), Azure AI Metrics Advisor (use azure-metrics-advisor), Azure AI Anomaly Detector (use azure-anomaly-detector).
azure-pipelines
Expert knowledge for Azure Pipelines development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when securing service connections/secrets, configuring YAML pipelines, deploying to App Service/Kubernetes, or handling hosted agent limits, and other Azure Pipelines related development tasks. Not for Azure DevOps (use azure-devops), Azure Boards (use azure-boards), Azure Repos (use azure-repos), Azure Test Plans (use azure-test-plans).
azure-planetary-computer-pro
Expert knowledge for Microsoft Planetary Computer Pro development including troubleshooting, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing STAC collections, GeoCatalog ingestion, SAS tokens, Explorer visualization, or QGIS/ArcGIS integration, and other Microsoft Planetary Computer Pro related development tasks. Not for Azure Open Datasets (use azure-open-datasets), Azure Maps (use azure-maps), Azure Data Explorer (use azure-data-explorer), Azure Synapse Analytics (use azure-synapse-analytics).
azure-playwright-workspaces
Expert knowledge for Playwright Workspaces development including troubleshooting, best practices, decision making, limits & quotas, security, and configuration. Use when managing Playwright Testing workspaces, tokens/RBAC, quotas, monitoring/metrics, or run/AADSTS7000112 issues, and other Playwright Workspaces related development tasks. Not for Azure App Testing (use azure-app-testing), Azure DevOps (use azure-devops), Azure Pipelines (use azure-pipelines), Azure Test Plans (use azure-test-plans).
azure-policy
Expert knowledge for Azure Policy development including troubleshooting, best practices, decision making, security, configuration, integrations & coding patterns, and deployment. Use when authoring Machine Configuration packages, deploying via ARM/Bicep/Terraform, enforcing security baselines, migrating from DSC, or querying compliance with Resource Graph, and other Azure Policy related development tasks. Not for Azure Blueprints (use azure-blueprints), Azure Role-based access control (use azure-rbac), Azure Resource Manager (use azure-resource-manager), Azure Security (use azure-security).
azure-portal
Expert knowledge for Azure Portal development including troubleshooting, security, and configuration. Use when managing portal RBAC dashboard sharing, JSON dashboards, URL allowlists, mobile app access/alerts, or HAR diagnostics, and other Azure Portal related development tasks. Not for Azure Cloud Shell (use azure-cloud-shell), Azure Resource Manager (use azure-resource-manager), Azure Monitor (use azure-monitor), Azure Policy (use azure-policy).
azure-private-link
Expert knowledge for Azure Private Link development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, and configuration. Use when configuring Private Endpoints, DNS/Private Resolver, High Scale limits, NSP/RBAC, or Azure Firewall inspection, and other Azure Private Link related development tasks. Not for Azure Virtual Network (use azure-virtual-network), Azure VPN Gateway (use azure-vpn-gateway), Azure ExpressRoute (use azure-expressroute), Azure Firewall (use azure-firewall).
azure-quantum
Expert knowledge for Azure Quantum development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using QDK/qdk.azure, hybrid jobs, QIR/OpenQASM/Pulser circuits, IonQ/PASQAL/Quantinuum/Rigetti, or resource estimator, and other Azure Quantum related development tasks. Not for Azure HPC Cache (use azure-hpc-cache), Azure Batch (use azure-batch), Azure Databricks (use azure-databricks), Azure Machine Learning (use azure-machine-learning).
azure-queue-storage
Expert knowledge for Azure Queue Storage development including best practices, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing queue auth (Entra ID/RBAC), monitoring metrics/logs, tuning throughput/limits, or coding with SDKs, and other Azure Queue Storage related development tasks. Not for Azure Blob Storage (use azure-blob-storage), Azure Table Storage (use azure-table-storage), Azure Service Bus (use azure-service-bus), Azure Event Hubs (use azure-event-hubs).
azure-rbac
Expert knowledge for Azure Role-based access control development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when defining roles/ABAC conditions, deny assignments, PIM, custom roles, or RBAC via CLI/PowerShell/REST, and other Azure Role-based access control related development tasks. Not for Azure Policy (use azure-policy), Azure Security (use azure-security), Azure Resource Manager (use azure-resource-manager), Azure Portal (use azure-portal).
azure-redhat-openshift
Expert knowledge for Azure Red Hat OpenShift development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when creating ARO clusters, configuring networking/storage, securing with Entra/NSGs, using GPUs/Key Vault, or upgrading, and other Azure Red Hat OpenShift related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Container Apps (use azure-container-apps), Azure Container Instances (use azure-container-instances), Azure VMware Solution (use azure-vmware-solution).
azure-relay
Expert knowledge for Azure Relay development including troubleshooting, security, configuration, and integrations & coding patterns. Use when configuring Hybrid Connections, WCF relays, Entra ID/SAS auth, Private Link, or .NET/Node.js Relay clients, and other Azure Relay related development tasks. Not for Azure Service Bus (use azure-service-bus), Azure Event Hubs (use azure-event-hubs), Azure Web PubSub (use azure-web-pubsub), Azure Application Gateway (use azure-application-gateway).
azure-reliability
Expert knowledge for Azure Reliability development including best practices, decision making, architecture & design patterns, limits & quotas, and deployment. Use when designing AZ/multi-region apps, MySQL Flexible Server HA, resilient Functions, or Azure Queue Storage limits, and other Azure Reliability related development tasks. Not for Azure Resiliency (use azure-resiliency), Azure Monitor (use azure-monitor), Azure Service Health (use azure-service-health), Azure Site Recovery (use azure-site-recovery).
azure-repos
Expert knowledge for Azure Repos development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing Git/TFVC repos, branch/PR policies, permissions, CodeQL/secret scans, or GitHub Advanced Security, and other Azure Repos related development tasks. Not for Azure DevOps (use azure-devops), Azure Pipelines (use azure-pipelines), Azure Test Plans (use azure-test-plans), Azure Boards (use azure-boards).
azure-resiliency
Expert knowledge for Azure Resiliency development including limits & quotas, security, and configuration. Use when managing Backup/Site Recovery vaults, protection policies, replication settings, SLAs, or resiliency security posture, and other Azure Resiliency related development tasks. Not for Azure Reliability (use azure-reliability), Azure Site Recovery (use azure-site-recovery), Azure Backup (use azure-backup), Azure Monitor (use azure-monitor).
azure-resource-graph
Expert knowledge for Azure Resource Graph development including troubleshooting, best practices, decision making, limits & quotas, configuration, and integrations & coding patterns. Use when querying via CLI/PowerShell/REST, using GET/LIST vs Query APIs, shared queries, alerts, or Power BI, and other Azure Resource Graph related development tasks. Not for Azure Monitor (use azure-monitor), Azure Policy (use azure-policy), Azure Resource Manager (use azure-resource-manager), Azure Portal (use azure-portal).
azure-resource-manager
Expert knowledge for Azure Resource Manager development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Bicep/ARM templates, template specs, deployment stacks, CLI/PowerShell/REST, or CI/CD pipelines, and other Azure Resource Manager related development tasks. Not for Azure Blueprints (use azure-blueprints), Azure Policy (use azure-policy), Azure Resource Graph (use azure-resource-graph), Azure Portal (use azure-portal).
azure-route-server
Expert knowledge for Azure Route Server development including troubleshooting, best practices, architecture & design patterns, limits & quotas, security, and configuration. Use when designing hub-spoke or multi-region topologies, BGP peering with NVAs/on-prem, tuning routing policies, or fixing route propagation issues, and other Azure Route Server related development tasks. Not for Azure Virtual Network (use azure-virtual-network), Azure Virtual Network Manager (use azure-virtual-network-manager), Azure Virtual WAN (use azure-virtual-wan), Azure VPN Gateway (use azure-vpn-gateway).
azure-sap
Expert knowledge for SAP HANA on Azure Large Instances development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when deploying SAP HANA on Azure Large Instances, ACSS/Center workflows, Azure Monitor, Key Vault, or RISE setups, and other SAP HANA on Azure Large Instances related development tasks. Not for Azure Large Instances (use azure-large-instances), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Machine Scale Sets (use azure-vm-scalesets), Azure Baremetal Infrastructure (use azure-baremetal-infrastructure).
azure-security
Expert knowledge for Azure Security development including troubleshooting, best practices, decision making, security, configuration, integrations & coding patterns, and deployment. Use when securing AKS and container images, SBOM/Notation pipelines, Key Vault vs HSM, or Customer Lockbox, and other Azure Security related development tasks. Not for Azure Defender For Cloud (use azure-defender-for-cloud), Azure Sentinel (use azure-sentinel), Azure DDos Protection (use azure-ddos-protection), Azure Web Application Firewall (use azure-web-application-firewall).
azure-sentinel
Expert knowledge for Azure Sentinel development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing Sentinel connectors, KQL analytics rules, Logic Apps playbooks, UEBA/SAP data, or ASIM schemas, and other Azure Sentinel related development tasks. Not for Azure Defender For Cloud (use azure-defender-for-cloud), Azure Security (use azure-security), Azure Monitor (use azure-monitor), Azure Network Watcher (use azure-network-watcher).
azure-service-bus
Expert knowledge for Azure Service Bus development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using queues/topics, sessions, filters, geo-replication, JMS/AMQP APIs, or migrating Standard→Premium, and other Azure Service Bus related development tasks. Not for Azure Event Hubs (use azure-event-hubs), Azure Event Grid (use azure-event-grid), Azure Queue Storage (use azure-queue-storage), Azure Relay (use azure-relay).
azure-service-connector
Expert knowledge for Azure Service Connector development including troubleshooting, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when wiring apps to Azure DBs, messaging, storage, AI, or cache via Service Connector roles, CLI, and IaC, and other Azure Service Connector related development tasks. Not for Azure API Management (use azure-api-management), Azure App Service (use azure-app-service), Azure Functions (use azure-functions), Azure Logic Apps (use azure-logic-apps).
azure-service-fabric
Expert knowledge for Azure Service Fabric development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Service Fabric clusters, Reliable Services/Actors, Cluster Resource Manager policies, reverse proxy, or sfctl/PowerShell automation, and other Azure Service Fabric related development tasks. Not for Azure App Service (use azure-app-service), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Container Apps (use azure-container-apps), Azure Cloud Services (use azure-cloud-services).
azure-service-health
Expert knowledge for Azure Service Health development including troubleshooting, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when integrating Service Health APIs/webhooks, configuring alerts via ARM/Bicep, querying events with Resource Graph, managing RBAC access, or diagnosing VM Resource Health issues, and other Azure Service Health related development tasks. Not for Azure Monitor (use azure-monitor), Azure Reliability (use azure-reliability), Azure Resiliency (use azure-resiliency), Azure Quotas (use azure-quotas).
azure-signalr-service
Expert knowledge for Azure SignalR Service development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when choosing SignalR mode, configuring upstreams/custom domains, securing with Entra ID/MI, scaling/sharding, or tracing issues, and other Azure SignalR Service related development tasks. Not for Azure Web PubSub (use azure-web-pubsub), Azure Service Bus (use azure-service-bus), Azure Event Hubs (use azure-event-hubs).
azure-site-recovery
Expert knowledge for Azure Site Recovery development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when planning ASR for VMware/Hyper‑V, configuring Recovery Services vaults, scripting with PowerShell/Terraform, integrating ExpressRoute/Traffic Manager, or protecting AD/SQL/SAP workloads, and other Azure Site Recovery related development tasks. Not for Azure Backup (use azure-backup), Azure Migrate (use azure-migrate), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Machine Scale Sets (use azure-vm-scalesets).
azure-sovereign-us
Expert knowledge for Azure US Government development including decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when handling FedRAMP/DoD IL5 scope, SACA patterns, Gov CI/CD, Gov Marketplace, or sovereign APIs, and other Azure US Government related development tasks. Not for Azure Local (use azure-local), Azure Arc (use azure-arc), Azure Networking (use azure-networking), Azure Security (use azure-security).
azure-speech
Expert knowledge for Azure AI Speech development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using STT/TTS, custom speech or voice training, Voice Live/avatars, batch jobs, or telephony integrations, and other Azure AI Speech related development tasks. Not for Azure Communication Services (use azure-communication-services), Azure AI Bot Service (use azure-bot-service), Azure AI Video Indexer (use azure-video-indexer), Azure AI Immersive Reader (use azure-immersive-reader).
azure-spring-apps
Expert knowledge for Azure Spring Apps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring ASA networking/security, Tanzu tools, observability/APM, CI/CD deployments, or blue‑green releases, and other Azure Spring Apps related development tasks. Not for Azure App Service (use azure-app-service), Azure Container Apps (use azure-container-apps), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Functions (use azure-functions).
azure-sql-database
Expert knowledge for Azure SQL Database development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when choosing DTU/vCore/serverless/Hyperscale, configuring geo‑replication/Data Sync, or securing with Entra/TDE, and other Azure SQL Database related development tasks. Not for Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), Azure Cosmos DB (use azure-cosmos-db), Azure Database for PostgreSQL (use azure-database-postgresql).
azure-sql-managed-instance
Expert knowledge for Azure SQL Managed Instance development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using MI Link, geo-replication/HA, Kerberos/Entra auth, TDE/Key Vault, or Extended Events, and other Azure SQL Managed Instance related development tasks. Not for Azure SQL Database (use azure-sql-database), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), Azure Database for MySQL (use azure-database-mysql), Azure Database for PostgreSQL (use azure-database-postgresql).
azure-sql-virtual-machines
Expert knowledge for SQL Server on Azure Virtual Machines development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring SQL Server on Azure VMs with Always On AG/FCI, WSFC, IaaS Agent, Blob backups, or Entra auth, and other SQL Server on Azure Virtual Machines related development tasks. Not for Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), Azure Virtual Machines (use azure-virtual-machines), Azure Data Science Virtual Machines (use azure-data-science-vm).
azure-sre-agent
Expert knowledge for Azure Sre Agent development including troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when wiring SRE Agent to DevOps/Teams/ServiceNow, configuring tools/hooks, querying KQL telemetry, or deploying as a Teams bot, and other Azure Sre Agent related development tasks. Not for Azure Monitor (use azure-monitor), Azure Reliability (use azure-reliability), Azure Resiliency (use azure-resiliency), Azure Service Health (use azure-service-health).
azure-stack-edge
Expert knowledge for Azure Stack Edge development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when running IoT Edge or GPU/Kubernetes apps, configuring VMs/storage/networking, or managing device updates, and other Azure Stack Edge related development tasks. Not for Azure Data Box (use azure-data-box-family), Azure IoT Edge (use azure-iot-edge), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Virtual Machines (use azure-virtual-machines).
azure-static-web-apps
Expert knowledge for Azure Static Web Apps development including troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when wiring SWA APIs to Azure DBs, configuring custom domains/auth, CI/CD, preview slots, or Front Door/CDN, and other Azure Static Web Apps related development tasks. Not for Azure App Service (use azure-app-service), Azure Functions (use azure-functions), Azure Container Apps (use azure-container-apps), Azure Kubernetes Service (AKS) (use azure-kubernetes-service).
azure-stream-analytics
Expert knowledge for Azure Stream Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building jobs with Event Hubs/Kafka, Cosmos DB/SQL outputs, ML/Functions integration, autoscale, or SU tuning, and other Azure Stream Analytics related development tasks. Not for Azure Data Factory (use azure-data-factory), Azure Event Hubs (use azure-event-hubs), Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks).
azure-synapse-analytics
Expert knowledge for Azure Synapse Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing Synapse workspaces, Spark pools, dedicated/serverless SQL, Delta Lake, or Synapse Link workloads, and other Azure Synapse Analytics related development tasks. Not for Azure Data Factory (use azure-data-factory), Azure Data Explorer (use azure-data-explorer), Azure Databricks (use azure-databricks), Azure HDInsight (use azure-hdinsight).
azure-table-storage
Expert knowledge for Azure Table Storage development including best practices, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing Entra ID/RBAC access, monitoring metrics/logs, tuning partitions/keys, or scripting tables via PowerShell, and other Azure Table Storage related development tasks. Not for Azure Cosmos DB (use azure-cosmos-db), Azure Blob Storage (use azure-blob-storage), Azure Queue Storage (use azure-queue-storage), Azure Files (use azure-files).
azure-test-plans
Expert knowledge for Azure Test Plans development including limits & quotas, security, and integrations & coding patterns. Use when configuring test fields, managing test access, or automating suites, runs, and configs via tcm.exe, and other Azure Test Plans related development tasks. Not for Azure DevOps (use azure-devops), Azure Boards (use azure-boards), Azure Pipelines (use azure-pipelines), Azure App Testing (use azure-app-testing).
azure-traffic-manager
Expert knowledge for Azure Traffic Manager development including troubleshooting, best practices, decision making, architecture & design patterns, configuration, and integrations & coding patterns. Use when configuring profiles/endpoints, routing methods, RUM JS, nested designs, or Traffic View–based tuning, and other Azure Traffic Manager related development tasks. Not for Azure Front Door (use azure-front-door), Azure Load Balancer (use azure-load-balancer), Azure Virtual WAN (use azure-virtual-wan), Azure Application Gateway (use azure-application-gateway).
azure-translator
Expert knowledge for Azure Translator development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Translator text/document APIs, custom models, glossaries, Docker containers, or Power Automate flows, and other Azure Translator related development tasks. Not for Azure AI Language (use azure-language-service), Azure AI Speech (use azure-speech), Azure AI Immersive Reader (use azure-immersive-reader), Azure AI Search (use azure-cognitive-search).
azure-update-manager
Expert knowledge for Azure Update Manager development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing VM/Arc patching, Automanage profiles, hotpatch/ESU schedules, change tracking, or SDK/REST automation, and other Azure Update Manager related development tasks. Not for Azure Automation (use azure-automation), Azure Monitor (use azure-monitor), Azure Osconfig (use azure-osconfig), Azure Virtual Machines (use azure-virtual-machines).
azure-video-indexer
Expert knowledge for Azure AI Video Indexer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Video Indexer APIs/widgets, live camera indexing, custom speech/brand models, or Azure OpenAI integrations, and other Azure AI Video Indexer related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure AI Vision (use azure-ai-vision).
azure-virtual-desktop
Expert knowledge for Azure Virtual Desktop development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when working with FSLogix profiles, MSIX/App Attach, autoscale/Start VM on Connect, Teams optimization, or SSO/MFA, and other Azure Virtual Desktop related development tasks. Not for Azure Virtual Machines (use azure-virtual-machines), Azure Dev Box (use azure-dev-box).
azure-virtual-machines
Expert knowledge for Azure Virtual Machines development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when choosing VM sizes, configuring scale sets, using Trusted Launch, encrypting disks, or automating via CLI/ARM, and other Azure Virtual Machines related development tasks. Not for Azure Virtual Machine Scale Sets (use azure-vm-scalesets), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure App Service (use azure-app-service).
azure-virtual-network
Expert knowledge for Azure Virtual Network development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, and configuration. Use when designing VNets, NSGs, service endpoints, VNet peering, VPN gateways, or Azure Firewall/NAT gateways, and other Azure Virtual Network related development tasks. Not for Azure Networking (use azure-networking), Azure Virtual Network Manager (use azure-virtual-network-manager), Azure Virtual WAN (use azure-virtual-wan), Azure VPN Gateway (use azure-vpn-gateway).
azure-virtual-network-manager
Expert knowledge for Azure Virtual Network Manager development including troubleshooting, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing AVNM IPAM pools, network groups, cross-tenant connectivity, security admin rules, or ARG queries, and other Azure Virtual Network Manager related development tasks. Not for Azure Virtual Network (use azure-virtual-network), Azure Virtual WAN (use azure-virtual-wan), Azure Network Watcher (use azure-network-watcher), Azure Networking (use azure-networking).
azure-virtual-wan
Expert knowledge for Azure Virtual WAN development including troubleshooting, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing Virtual WAN hubs, P2S VPN, ExpressRoute/SD‑WAN connectivity, NVAs/firewalls, or Entra ID VPN access, and other Azure Virtual WAN related development tasks. Not for Azure Virtual Network (use azure-virtual-network), Azure VPN Gateway (use azure-vpn-gateway), Azure ExpressRoute (use azure-expressroute), Azure Traffic Manager (use azure-traffic-manager).
azure-vm-scalesets
Expert knowledge for Azure Virtual Machine Scale Sets development including troubleshooting, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring VMSS autoscale, upgrade modes, zones/PPGs, Spot/standby pools, or disk encryption with Key Vault, and other Azure Virtual Machine Scale Sets related development tasks. Not for Azure Virtual Machines (use azure-virtual-machines), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure App Service (use azure-app-service), Azure Service Fabric (use azure-service-fabric).
azure-vmware-solution
Expert knowledge for Azure VMware Solution development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring AVS with HCX/NSX, vSAN/stretched clusters, Citrix/Horizon, Cloud Director, or JetStream DR, and other Azure VMware Solution related development tasks. Not for Azure Virtual Machines (use azure-virtual-machines), Azure Large Instances (use azure-large-instances), Azure Baremetal Infrastructure (use azure-baremetal-infrastructure), SAP HANA on Azure Large Instances (use azure-sap).
azure-vpn-gateway
Expert knowledge for Azure VPN Gateway development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring S2S/P2S tunnels, BGP routing, IPsec/IKE policies, Entra/RADIUS auth, or ExpressRoute VPNs, and other Azure VPN Gateway related development tasks. Not for Azure ExpressRoute (use azure-expressroute), Azure Virtual WAN (use azure-virtual-wan), Azure Virtual Network (use azure-virtual-network), Azure Virtual Network Manager (use azure-virtual-network-manager).
azure-web-application-firewall
Expert knowledge for Azure Web Application Firewall development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring Front Door/App Gateway WAF rules, rate limits, bot/CAPTCHA, Sentinel logging, or IaC deployments, and other Azure Web Application Firewall related development tasks. Not for Azure Application Gateway (use azure-application-gateway), Azure Front Door (use azure-front-door), Azure Firewall (use azure-firewall), Azure DDos Protection (use azure-ddos-protection).
azure-web-pubsub
Expert knowledge for Azure Web PubSub development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building WebSocket/MQTT apps, using Socket.IO, geo-replication, private endpoints, or Functions bindings, and other Azure Web PubSub related development tasks. Not for Azure SignalR Service (use azure-signalr-service), Azure Event Hubs (use azure-event-hubs), Azure Service Bus (use azure-service-bus), Azure Relay (use azure-relay).
azure-well-architected
Expert guidance for designing, assessing, and optimizing Azure workloads using Azure Well Architected. Covers design review checklists, recommendations, design principles, tradeoffs, service guides, workload patterns, and assessment questions. Use when designing AI, SAP, SaaS, HPC, AVD/AVS workloads, or choosing regions/AZs with cost–reliability tradeoffs, and other Azure Well Architected related development tasks.
microsoft-foundry
Expert knowledge for Microsoft Foundry (aka Azure AI Foundry) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with Azure OpenAI, RAG/indexing, MCP/OpenAPI tools, eval workflows, or CI/CD deployments, and other Microsoft Foundry related development tasks. Not for Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Local (use microsoft-foundry-local), Microsoft Foundry Tools (use microsoft-foundry-tools).
microsoft-foundry-classic
Expert knowledge for Microsoft Foundry Classic (aka Azure AI Foundry classic) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents, RAG/vector search, function calling, realtime audio, or fine-tuned Azure OpenAI models, and other Microsoft Foundry Classic related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Local (use microsoft-foundry-local), Microsoft Foundry Tools (use microsoft-foundry-tools).
microsoft-foundry-local
Expert knowledge for Microsoft Foundry Local (aka Azure AI Foundry Local) development including troubleshooting, best practices, decision making, configuration, and integrations & coding patterns. Use when using Foundry Local CLI, REST/SDK APIs, OpenAI clients, LangChain/Open WebUI, or Olive model builds, and other Microsoft Foundry Local related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Tools (use microsoft-foundry-tools), Azure Local (use azure-local).
microsoft-foundry-tools
Expert knowledge for Microsoft Foundry Tools (aka Azure AI services, Azure Cognitive Services) development including best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when using Content Moderator, Content Understanding analyzers, REST/.NET APIs, quotas, or secure Foundry setups, and other Microsoft Foundry Tools related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Local (use microsoft-foundry-local).
llm-application-dev
Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.
ideation
Generate project ideas via creative constraints.
pixel-art
Pixel art w/ era palettes (NES, Game Boy, PICO-8).
auto-arena
Automatically evaluate and compare multiple AI models or agents without pre-existing test data. Generates test queries from a task description, collects responses from all target endpoints, auto-generates evaluation rubrics, runs pairwise comparisons via a judge model, and produces win-rate rankings with reports and charts. Supports checkpoint resume, incremental endpoint addition, and judge model hot-swap. Use when the user asks to compare, benchmark, or rank multiple models or agents on a custom task, or run an arena-style evaluation.
claude-authenticity
Detect whether an API endpoint is backed by genuine Claude (not a wrapper, proxy, or impersonator) using 9 weighted rule-based checks that mirror the claude-verify project. Also extracts injected system prompts from providers that override Claude's identity. Fully self-contained — copy the code below and run, no extra packages beyond httpx. Use when the user wants to verify a Claude API key or endpoint, check if a third-party Claude service is authentic, audit API providers for Claude authenticity, test multiple models in parallel, or discover what system prompt a provider has injected.
paper-review
Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file.
ref-hallucination-arena
Benchmark LLM reference recommendation capabilities by verifying every cited paper against Crossref, PubMed, arXiv, and DBLP. Measures hallucination rate, per-field accuracy (title/author/year/DOI), discipline breakdown, and year constraint compliance. Supports tool-augmented (ReAct + web search) mode. Use when the user asks to evaluate, benchmark, or compare models on academic reference hallucination, literature recommendation quality, or citation accuracy.
agent-workflow-designer
Agent Workflow Designer
api-design-reviewer
API Design Reviewer
board-prep
/em -board-prep — Board Meeting Preparation
challenge
/em -challenge — Pre-Mortem Plan Analysis
changelog-generator
Changelog Generator
ci-cd-pipeline-builder
CI/CD Pipeline Builder
codebase-onboarding
Codebase Onboarding
dependency-auditor
Dependency Auditor
email-template-builder
Email Template Builder
env-secrets-manager
Env & Secrets Manager
git-worktree-manager
Git Worktree Manager
mcp-server-builder
MCP Server Builder
migration-architect
Migration Architect
monorepo-navigator
Monorepo Navigator
observability-designer
Observability Designer (POWERFUL)
performance-profiler
Performance Profiler
skill-tester
Skill Tester
stripe-integration-expert
Stripe Integration Expert
prompt-architect
Analyzes and improves prompts using 27 research-backed frameworks across 7 intent categories. Use when a user wants to improve, rewrite, structure, or engineer a prompt — including requests like "help me write a better prompt", "improve this prompt", "what framework should I use", "make this prompt more effective", or any prompt engineering task. Recommends the right framework based on intent (create, transform, reason, critique, recover, clarify, agentic), asks targeted questions, and delivers a structured, high-quality result.
port-upstream-features-ag
Migrated command port-upstream-features-ag
port-upstream-issues-ag
Migrated command port-upstream-issues-ag
speckit-analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
speckit-checklist
Generate a custom checklist for the current feature based on user requirements.
speckit-clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
speckit-constitution
Create or update the project constitution from interactive or provided principle inputs, ensuring all dependent templates stay in sync.
speckit-implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md
speckit-plan
Execute the implementation planning workflow using the plan template to generate design artifacts.
speckit-specify
Create or update the feature specification from a natural language feature description.
speckit-tasks
Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.
speckit-taskstoissues
Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.
upgrade-stripe
Guide for upgrading Stripe API versions and SDKs
agent-browser
Browser automation via agent-browser CLI. Use when you need to navigate websites, verify deployed UI, test web apps, read online documentation, scrape data, fill forms, capture baseline screenshots before design work, or inspect current page state. Triggers on "check the page", "verify UI", "test the site", "read docs at", "look up API", "visit URL", "browse", "screenshot", "scrape", "e2e test", "login flow", "capture baseline", "see how it looks", "inspect current", "before redesign".
browser
Browser automation via agent-browser CLI. Use when you need to navigate websites, verify deployed UI, test web apps, read online documentation, scrape data, fill forms, capture baseline screenshots before design work, or inspect current page state. Triggers on "check the page", "verify UI", "test the site", "read docs at", "look up API", "visit URL", "browse", "screenshot", "scrape", "e2e test", "login flow", "capture baseline", "see how it looks", "inspect current", "before redesign".
flow-next
Manage .flow/ tasks and specs. Triggers: 'show me my tasks', 'list specs', 'what tasks are there', 'add a task', 'create task', 'what's ready', 'task status', 'show fn-1-add-oauth'. NOT for /flow-next:plan or /flow-next:work.
flow-next-deps
Show spec dependency graph and execution order. Use when asking 'what's blocking what', 'execution order', 'dependency graph', 'what order should specs run', 'critical path', 'which specs can run in parallel'.
flow-next-drive
Drive any UI surface like a real user - a web app, a Chromium-backed desktop app (Electron / WebView2, reached over CDP), or a genuinely native app (macOS AppKit/SwiftUI, or a non-CDP webview) reached via Computer Use. Detects the surface, picks the best available driver, degrades gracefully. Use to navigate sites, verify deployed UI, test web or desktop apps, capture baseline screenshots, drive a sign-in flow, scrape data, fill forms, run an e2e check, or inspect current page state. Triggers on "check the page", "verify UI", "test the site", "test this app", "drive the app", "automate this desktop app", "read docs at", "look up API", "visit URL", "browse", "screenshot", "scrape", "e2e test", "login flow", "capture baseline", "see how it looks", "inspect current", "before redesign", "Electron app", "native app".
flow-next-export-context
Export RepoPrompt context to a markdown file for review with an external LLM (ChatGPT, Claude web, etc.). Use when you want Carmack-level review but prefer an external model. Triggers on "export context", "export for external review", "export plan for ChatGPT", "export impl review context", "review with an external model", "export review context".
flow-next-setup
Optional local install of flowctl CLI and CLAUDE.md/AGENTS.md instructions. Use when user runs /flow-next:setup.
export-agent
Converts agent definitions between frameworks — exports to Claude Code, OpenAI, CrewAI, Lyzr, and GitHub Models formats, and imports from Claude, Cursor, and CrewAI projects. Use when the user wants to convert an agent, migrate to another framework, export to LangChain/AutoGen/CrewAI, or import from existing automation tools.
geo-pipeline
Entry point + orchestrator for the recomby-geo GEO (Generative Engine Optimization) workflow on OpenAI Codex CLI. Use when the user wants to run any stage of the GEO pipeline on a client folder — intake, visibility audit, content-gap analysis, content brief, draft production, distribution, or monthly re-audit — or asks to "run GEO", "audit AI search visibility", or "GEO this client". Codex has no bare slash commands, so this skill is how the 7 stages (that Claude Code runs as /01-intake … /07-reaudit) are driven on Codex. It routes to the per-stage specs in this plugin's commands/ and enforces the orchestration rules. Does not auto-fill expert content — the human-in-loop brief checkpoint is the moat.
seo-geo-optimizer
Comprehensive SEO/GEO/AEO analysis toolkit for optimizing content visibility across traditional search engines (Google, Bing), AI platforms (ChatGPT, Perplexity, Claude, Gemini, Grokipedia), answer engines (Google AI Overviews, Bing Copilot, featured snippets), voice assistants (Google Assistant, Siri, Alexa), and social media (Facebook, Twitter, LinkedIn, WhatsApp, Instagram). Analyzes HTML/Markdown/JSX files for metadata completeness, schema markup, keyword optimization, entity extraction, and generates multi-format audit reports with platform-specific recommendations.
multi-ai-consultant
Consult external AIs (Gemini 2.5 Pro, OpenAI Codex, Claude) for second opinions. Use for debugging failures, architectural decisions, security validation, or need fresh perspective with synthesis.
seo-geo
SEO + Generative Engine Optimization (GEO) for 2026 — technical SEO, on-page optimization, structured data (JSON-LD, schema.org), Core Web Vitals, citability scoring (llms.txt, entity clarity), AI search engine optimization (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews), and brand authority building. Use when user asks to optimize a site for search engines, improve SEO, write SEO content, implement structured data, optimize for AI search/GEO, audit a page, or improve Google rankings. Do NOT use for content writing strategy (use content-marketing), performance optimization beyond Core Web Vitals (use performance-profiler), or paid ad strategy.
defuddle
Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page.
obsidian-experiment-log
Use this skill when the user discusses experiment design, ablations, training runs, evaluation, baselines, metrics, failures, or result interpretation that should be logged into Obsidian experiment and result notes.
obsidian-link-graph
Use this skill when the user wants to repair or strengthen Obsidian wikilinks among existing canonical project notes, especially across papers, knowledge notes, experiments, results, and writing.
obsidian-project-lifecycle
Use this skill when the user wants to detach, archive, purge, or otherwise change the lifecycle state of an Obsidian project knowledge base.
obsidian-research-log
Use this skill when the user is discussing daily research work, TODOs, plans, standups, meetings, milestones, or general project progress that should be reflected in Obsidian daily notes, plan notes, and hub updates.
obsidian-synthesis-map
Use this skill when generating higher-level synthesis notes such as literature reviews, comparison matrices, project summaries, or other cross-note summaries inside the project knowledge base.
assets-shader-list-all
List all shaders available in the project assets and packages, sorted by name. Use this to discover a valid `shaderName` for 'assets-material-create'.
console-clear-logs
Clear the MCP log cache (used by 'console-get-logs') and the Unity Editor Console window. Useful for isolating logs to a specific action by clearing the slate first.
ping
Lightweight readiness probe. Returns the input `message` echoed back, or `'pong'` when omitted. Useful for CLI health checks and SignalR connectivity smoke tests.
profiler-clear-data
Discard all frames currently held by the Editor Profiler (UnityEditorInternal.ProfilerDriver.ClearAllFrames). Cannot be undone.
profiler-enable-module
Toggle the wrapper's local 'enabled' flag for a named profiler module. Bookkeeping only — Unity's runtime API does not expose direct module control; for real module visibility use the Profiler window.
gpt-image2-ppt
Generate visually striking PPT slides via OpenAI's gpt-image-2 -- use any style in styles/<id>.md or mimic a user-supplied .pptx template; outputs high-res slide PNGs and a 16:9 .pptx. Use when the user asks to make a presentation, slides, deck, pitch deck, investor PPT, magazine-style PPT, or 做一份 PPT / 生成幻灯片 / 用 gpt-image 生成 PPT / 按这个模板生成 PPT.
apple-notes
Manage Apple Notes via the memo CLI on macOS (create, view, search, edit).
nano-pdf
Edit PDFs with natural-language instructions using the nano-pdf CLI. Modify text, fix typos, update titles, and make content changes to specific pages without manual editing.
plan
Plan mode for Hermes — inspect context, write a markdown plan into the active workspace's `.hermes/plans/` directory, and do not execute the work.
songsee
Generate spectrograms and audio feature visualizations (mel, chroma, MFCC, tempogram, etc.) from audio files via CLI. Useful for audio analysis, music production debugging, and visual documentation.
unsloth
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
seo-geo
SEO & GEO (Generative Engine Optimization) for websites. Analyze keywords, generate schema markup, optimize for AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude) and traditional search (Google, Bing). Use when user wants to improve search visibility, search optimization, search ranking, AI visibility, ChatGPT ranking, Google AI Overview, indexing, JSON-LD, meta tags, or keyword research.
infographic-syntax-creator
Generate AntV Infographic syntax outputs. Use when asked to turn user content into the Infographic DSL (template selection, data structuring, theme), or to output `infographic <template>` plain syntax.
interview-system-designer
This skill should be used when the user asks to "design interview processes", "create hiring pipelines", "calibrate interview loops", "generate interview questions", "design competency matrices", "analyze interviewer bias", "create scoring rubrics", "build question banks", or "optimize hiring systems". Use for designing role-specific interview loops, competency assessments, and hiring calibration systems.
deep-research
Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.
cli-a2a
Interact with the OmniRoute A2A server from the CLI. Send tasks, inspect skill execution history, and test the JSON-RPC 2.0 agent-to-agent protocol interactively.
cli-batches
Submit and monitor batch inference jobs from the CLI. Upload and manage files for batch processing, retrieve results, and integrate batch pipelines with CI/CD workflows.
cli-chat
Send chat completions, stream responses, and start an interactive REPL session from the CLI. Supports all OmniRoute providers, combo routing, and system prompt configuration.
cli-compression
Configure and test prompt compression from the CLI. Manage RTK filters, Caveman rules, stacked compression modes, and preview compression output with real prompts.
cli-health
Check server health, component status, and live metrics from the CLI. Run `health`, `health components`, and `health watch` for a real-time dashboard of circuit breakers and provider status.
cli-mcp
Inspect the MCP server status, list registered tools and scopes, run tool invocations, and manage MCP audit logs from the CLI.
cli-models
Query available AI models, list model aliases, and browse the full model catalog from the CLI. Filter by provider, search by capability, and resolve model name variants.
cli-resilience
Inspect and manage circuit-breaker states, connection cooldowns, quota limits, and backoff levels from the CLI. Reset stuck providers and configure resilience thresholds.
cli-routing
Create, list, update, and delete routing combos from the CLI. Test routing strategies, inspect combo metrics, and configure fallback chains interactively.
cli-tunnel
Start and stop tunnel connections (ngrok, Cloudflare, custom) from the CLI. Inspect active tunnel URLs, configure authentication, and test external reachability.
deploy-vps-akamai-cc
Deploy the latest OmniRoute code to the Akamai VPS (69.164.221.35)
deploy-vps-both-cc
Deploy the latest OmniRoute code to BOTH the Akamai VPS and the Local VPS
deploy-vps-local-ag
Deploy the latest OmniRoute code to the Local VPS (192.168.0.15)
deploy-vps-local-cc
Deploy the latest OmniRoute code to the Local VPS (192.168.0.15)
deploy-vps-local-cx
Deploy the latest OmniRoute code to the Local VPS (192.168.0.15)
issue-triage-ag
How to respond to GitHub issues with insufficient information
issue-triage-cc
How to respond to GitHub issues with insufficient information
issue-triage-cx
How to respond to GitHub issues with insufficient information
omni-api-keys
Create, list, rotate, and revoke OmniRoute API keys. Control per-key scopes, spending limits, and expiration. Keys gate access to all proxy and management endpoints.
omni-budget
Configure spending limits, token quotas, and rate-limit policies per API key or globally. Inspect current consumption and enforce cost controls across providers.
omni-cache
Manage the LLM response cache. View cache statistics, clear entries, configure TTL policies, and control semantic-similarity caching thresholds.
omni-context-rtk
Configure RTK filters, context engineering rules, and context relay settings. Test compression with real prompt samples and manage context transformation pipelines.
omni-db-backups
Trigger system backups, restore from backup files, and manage the SQLite database lifecycle. Supports export, import, and incremental snapshot strategies.
omni-models
Query available AI models across all configured providers. List models, resolve model aliases, and browse the full model catalog including provider-specific variants.
omni-proxies
Configure HTTP/HTTPS/SOCKS proxies for upstream provider requests. Set per-provider or global proxy rules, test connectivity, and manage proxy rotation.
omni-tunnels
Create and manage secure tunnels (ngrok, Cloudflare Tunnel, custom) to expose OmniRoute to the internet or share access with remote agents and CI pipelines.
omni-webhooks
Register, list, test, and remove webhook endpoints. Configure event subscriptions (request.completed, provider.error, budget.exceeded, etc.) and manage delivery retries.
omniroute-chat
Chat / code generation via OmniRoute using OpenAI /v1/chat/completions or Anthropic /v1/messages format with SSE streaming, auto-fallback combos, RTK token saver, and 207+ providers. Use when the user wants to ask an LLM, generate code, summarize text, or run prompts through OmniRoute.
omniroute-embeddings
Embeddings via OmniRoute using OpenAI /v1/embeddings format with auto-fallback across text-embedding-3-large, Voyage, Cohere, Gemini embeddings, Jina. Use when the user needs vector embeddings for RAG, similarity search, or clustering.
omniroute-image
Image generation via OmniRoute using OpenAI /v1/images/generations format with auto-fallback across DALL-E, Stable Diffusion, Flux, Imagen providers. Use when the user wants to generate, edit, or vary images.
omniroute-stt
Speech-to-text via OmniRoute using OpenAI /v1/audio/transcriptions format with auto-fallback across Whisper, AssemblyAI, Deepgram, Azure STT. Use when the user wants transcription of audio files or real-time speech recognition.
omniroute-tts
Text-to-speech via OmniRoute using OpenAI /v1/audio/speech format with auto-fallback across OpenAI TTS, ElevenLabs, Azure Neural, Google Cloud TTS. Use when the user wants spoken audio output from text.
omniroute-web-fetch
Fetch a URL and convert to clean markdown via OmniRoute proxying Jina Reader, Firecrawl, raw HTML strip. Use when the user wants to ingest a webpage as markdown for context in an LLM conversation.
omniroute-web-search
Web search via OmniRoute proxying Tavily, Brave Search, SerpAPI, Exa with auto-fallback. Use when the user wants live web search results, current news, or facts that may be beyond the LLM training cutoff.
stripe-best-practices
Guides Stripe integration decisions — API selection (Checkout Sessions vs PaymentIntents), Connect platform setup (Accounts v2, controller properties), billing/subscriptions, Treasury financial accounts, integration surfaces (Checkout, Payment Element), migrating from deprecated Stripe APIs, and security best practices (API key management, restricted keys, webhooks, OAuth). Use when building, modifying, or reviewing any Stripe integration — including accepting payments, building marketplaces, integrating Stripe, processing payments, setting up subscriptions, creating connected accounts, or implementing secure key handling.
stripe-projects
Use when setting up a new app or local repo with Stripe Projects, provisioning a software stack, or bootstrapping the Projects CLI from a coding agent.
supabase-postgres-best-practices
Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
web-design-guidelines
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
denario
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
embedding-strategies
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
imagegen
Use when the user asks to generate or edit images via the OpenAI Image API (for example: generate image, edit/inpaint/mask, background removal or replacement, transparent background, product shots, concept art, covers, or batch variants); run the bundled CLI (`scripts/image_gen.py`) and require `OPENAI_API_KEY` for live calls.
openai-docs
Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains.
senior-prompt-engineer
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.
speech
Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts/text_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope.
transcribe
Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.
dictation-instructions
Instructions for fixing speech-to-text errors and improving text quality in gh-aw documentation and workflows
codex
Provides Codex CLI delegation workflows for complex code generation and development tasks using OpenAI's GPT-5.3-codex models, including English prompt formulation, execution flags, sandbox modes, and safe result handling. Use when the user explicitly asks to use Codex for complex programming tasks such as code generation, refactoring, or architectural analysis. Triggers on "use codex", "delegate to codex", "run codex cli", "ask codex", "codex exec", "codex review".
langchain4j-rag-implementation-patterns
Provides Retrieval-Augmented Generation (RAG) implementation patterns with LangChain4j for Java. Generates document ingestion pipelines, embedding stores, vector search, and semantic search capabilities. Use when building chat-with-documents systems, document Q&A over PDFs or text files, AI assistants with knowledge bases, semantic search over document repositories, or knowledge-enhanced AI applications with source attribution.
langchain4j-spring-boot-integration
Provides integration patterns for LangChain4j with Spring Boot. Configures AI model beans, sets up chat memory with Spring context, integrates RAG pipelines with Spring Data, and handles auto-configuration, dependency injection, and Spring ecosystem integration. Use when embedding LangChain4j into Spring Boot applications, building Java LLM applications with @Bean configuration, or setting up Spring AI patterns.
langchain4j-vector-stores-configuration
Provides configuration patterns for LangChain4J vector stores in RAG applications. Use when building semantic search, integrating vector databases (PostgreSQL/pgvector, Pinecone, MongoDB, Milvus, Neo4j), implementing embedding storage/retrieval, setting up hybrid search, or optimizing vector database performance for production AI applications.
rag
Implements document chunking, embedding generation, vector storage, and retrieval pipelines for Retrieval-Augmented Generation systems. Use when building RAG applications, creating document Q&A systems, or integrating AI with knowledge bases.
spring-ai-mcp-server-patterns
Provides Spring Boot MCP server patterns that create Model Context Protocol servers with Spring AI by defining tool handlers, exposing resources, configuring prompt templates, and setting up transports for AI function calling and tool calling. Use when building MCP servers to extend AI capabilities with Spring's official AI framework, implementing AI tools, custom function calling, or MCP client integration.
forge
Mine transcripts for knowledge - decisions, learnings, failures, patterns. Triggers: "forge insights", "mine transcripts", "extract knowledge".
00-andruia-consultant
Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.
007
Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project.
10-andruia-skill-smith
Ingeniero de Sistemas de Andru.ia. Diseña, redacta y despliega nuevas habilidades (skills) dentro del repositorio siguiendo el Estándar de Diamante.
20-andruia-niche-intelligence
Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar conocimientos, regulaciones y estándares únicos del sector. Actívalo tras definir el nicho.
3d-web-experience
Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing depth to web experiences.
ab-test-setup
Structured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
acceptance-orchestrator
Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.
active-directory-attacks
Provide comprehensive techniques for attacking Microsoft Active Directory environments. Covers reconnaissance, credential harvesting, Kerberos attacks, lateral movement, privilege escalation, and domain dominance for red team operations and penetration testing.
activecampaign-automation
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
ad-creative
Create, iterate, and scale paid ad creative for Google Ads, Meta, LinkedIn, TikTok, and similar platforms. Use when generating headlines, descriptions, primary text, or large sets of ad variations for testing and performance optimization.
adhx
Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.
advanced-evaluation
This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.
advogado-criminal
Advogado criminalista especializado em Maria da Penha, violencia domestica, feminicidio, direito penal brasileiro, medidas protetivas, inquerito policial e acao penal.
advogado-especialista
Advogado especialista em todas as areas do Direito brasileiro: familia, criminal, trabalhista, tributario, consumidor, imobiliario, empresarial, civil e constitucional.
aegisops-ai
Autonomous DevSecOps & FinOps Guardrails. Orchestrates Gemini 3 Flash to audit Linux Kernel patches, Terraform cost drifts, and K8s compliance.
agent-evaluation
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks
agent-framework-azure-ai-py
Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
agent-memory-mcp
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
agent-memory-systems
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them.
agent-orchestration-improve-agent
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
agent-orchestration-multi-agent-optimize
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
agent-orchestrator
Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.
agent-tool-builder
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
agentflow
Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.
agentfolio
Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
agentic-actions-auditor
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches. AI agents running in CI/CD pipelines.
agentphone
Build AI phone agents with AgentPhone API. Use when the user wants to make phone calls, send/receive SMS, manage phone numbers, create voice agents, set up webhooks, or check usage — anything related to telephony, phone numbers, or voice AI.
docx-official
A user may ask you to create, edit, or analyze the contents of a .docx file. A .docx file is essentially a ZIP archive containing XML files and other resources that you can read or edit. You have different tools and workflows available for different tasks.
cliproxy-deploy
在 Linux VPS 上部署 CLIProxyAPI（router-for-me/CLIProxyAPI）并暴露 OpenAI 兼容 API。覆盖 Go 环境、源码拉取、最小配置、OAuth 登录（远端 / 本地同步两种路径）、UFW 放行、密钥轮换、健康校验、环境变量落盘。当用户说“部署 cliproxy / 把 codex/claude/gemini 账号暴露成 API / router-for-me 上线 VPS”时触发。
openclaw-deploy
在远程服务器上一键部署 OpenClaw。当用户需要安装 OpenClaw、部署 OpenClaw、配置 OpenClaw 到服务器时使用
push-all
Stage all changes, create commit, and push to remote (use with caution)
setup-manifest-plugin
Configure Manifest as a model provider in OpenClaw. Use when the user says "/setup-manifest-plugin", "setup manifest", "connect manifest", "point openclaw to localhost", or wants to add Manifest as a model provider. For cloud users, sets up models.providers.manifest directly (no plugin). For local dev, configures the plugin. Accepts a port number and optional mode.
uninstall-manifest-plugin
Remove Manifest from OpenClaw and reset to a direct model provider. Use when the user says "/uninstall-manifest-plugin", "uninstall manifest", "remove manifest", "reset openclaw", or wants to stop using Manifest routing and go back to direct provider access. Works for both cloud users (provider config only) and local users (plugin + provider config).
talk-normal
Always-on writing rules for concise, normal, bilingual documentation and user-facing text.
unicli-hermes
Use Uni-CLI to interact with 237 websites, desktop apps, and system tools. Trigger when: user asks to check a website, fetch data, control a desktop app, or interact with social media, news, finance, or AI platforms.
seo-and-llm-rankings
Audits websites for traditional SEO health and AI search visibility (GEO). Generates prioritized reports with actionable fixes and ready-to-use prompts for AI coding agents. Covers Google, Bing, ChatGPT, Perplexity, Claude, Gemini, Copilot, and Google AI Overviews. Use when auditing SEO, LLM visibility, generative engine optimization, AI Overviews, or AI search optimization.
slm-switch-profile
Switch between memory profiles for context isolation and management. Use when the user wants to change profile context, separate work/personal memories, or manage multiple independent memory spaces. Each profile has its own database, graph, and patterns.
acp
Spawn external coding agents via the Agent Client Protocol (ACP)
amazon
Shop on Amazon and Amazon Fresh through your browser
app-builder
Build and edit small, personal visual tools and artifacts — dashboards, trackers, calculators, data visualizations, charts, simple landing pages, and slide decks the user wants for THEMSELVES. This is the right skill whenever the user asks to "visualize this," "make a chart," or "build an artifact" for their own use, or to edit an app they already built here. Do NOT reach for a ui_show dynamic_page to fake an artifact — build a real persistent app here. NOT for complex, multi-user, or shippable products — those go to a real project folder with a coding agent (see Scope below).
app-control
Drive a specific named macOS app via raw input bypassing the Accessibility tree
assistant-migration
Migrate from ChatGPT, Claude, OpenClaw, Hermes, Manus, and other AI assistants into Vellum by inspecting their data exports, conversation archives, files, prompts, custom instructions, memory, saved memories, tools, GPTs, workflows, integrations, and relationships, then mapping as much as safely possible into Vellum primitives. Handles single-source and multi-source migrations with a unified, deduplicated inventory.
cli-discover
Discover which CLI tools are installed, their versions, and authentication status
contacts
Manage contacts, communication channels, access control, and invite links
conversation-launcher
Offer the user several spin-off conversations as clickable buttons on a single persistent card. Each click spawns a fresh seeded conversation in the sidebar; the user keeps their place in the current conversation. Use when you want to branch into N focused threads (research directions, draft choices, pending replies, triage of N items) without losing the current context. Not for single-destination pivots — just reply inline.
deploy-fullstack-vercel
Build and deploy a full-stack app (React frontend + Python/FastAPI backend) or a Vellum app to Vercel as a serverless demo with seeded data
discord-app-setup
Connect a Discord bot to the assistant via the Discord Gateway with guided application creation and intent configuration
document-editor
Use whenever the user wants to write or draft an article, blog post, essay, report, or any long-form content. Creates the content in a rich text editor instead of dumping it in chat, so it can be streamed, reviewed, edited, and exported.
doordash
Order food, groceries, and convenience items from DoorDash using the built-in CLI integration
elevenlabs-voice
Select and tune an ElevenLabs TTS voice - curated voice list, custom/cloned voices via API key, and tuning parameters
email-setup
Set up this assistant's own `[name].vellum.me` domain and email address (one-time setup)
fish-audio
Generate expressive audio clips using Fish Audio S2 TTS with bracket emotion tags. Record voice memos, narration, audio messages, or any spoken content.
geo-audit
Runs a one-command technical GEO audit on any domain. Checks AI crawler access, llms.txt presence, server-side rendering, sitemap, and schema markup. Streams results live and ends with a 0–100 score plus the top 3 prioritized fixes. Built to be both genuinely useful and great to demo on camera.
geo-writing
Generates GEO/AEO-optimized articles designed to get AI engines (ChatGPT, Perplexity, Claude, Gemini) to cite your brand. Handles research, writing, and file output. Suggests listicle or head-to-head as starting formats if the user is unsure.
gmail
Manage Gmail email — drafting, sending, organizing, filters, vacation replies, and inbox analysis
google-calendar
View, create, and manage Google Calendar events and check availability
guardian-verify-setup
Set up channel verification for phone, Telegram, Slack, or email channels via outbound verification flow
headless-claude-code
Reference guide for running Claude Code in headless, container, and CI environments — covers auth strategies, interactive mode pitfalls, tmux orchestration, root user workarounds, and git auth without SSH agents or keychains
inbox-cleanup
Run a high-recall, multi-pass email inbox cleanup. Pattern-based subject queries catch 25x more archivable email than sender scans alone. Includes urgency triage, classification signals, and post-cleanup filter setup.
media-processing
Ingest and process media files (video, audio, image)
messaging
Read, search, send, and manage messages across Gmail, Outlook, Telegram, and other platforms
phone-calls
Make outgoing phone calls, receive incoming calls, and pull up past call transcripts
schedule
Recurring and one-shot scheduling - cron, RRULE, or single fire-at time
subagent
Spawn and manage autonomous background agents for parallel work
art-director
AI art direction system. Claude directs image generation models (Gemini, DALL-E, Flux) via structured prompts. Generate banners, diagrams, logos, screenshots, and social media visuals without leaving the terminal.
codex-orchestration
OpenAI Codex CLI + Claude Code (Hizir) birlikte kullanim rehberi. Is dagitim pattern'leri, GitHub Actions workflow ornekleri, review dongusu ve iki AI yazilim asistaninin guclu yanlarini birlestiren orchestration stratejileri.
secret-patterns
30+ service-specific secret detection regex patterns, entropy-based detection, PEM/JWT/Base64 identification, and false positive filtering.
security-review
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
analyze-results
Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.
monitor-experiment
Monitor running experiments, check progress, collect results. Use when user says "check results", "is it done", "monitor", or wants experiment output.
vcaudit-plans
Audit active project plan files for staleness, completion, and routing truth. Use when cleaning up plans, reconciling active work, or archiving completed artifacts.
vcdocs
Use when you need to analyze a codebase and initialize, update, or summarize project documentation.
vcgenerate-context
Generate or update the project's authoritative repository context at process/context/all-context.md. Use when repo context is missing, stale, or contradicted by code.
vcmerge-worktree
Merge a git worktree branch back into the main checkout and clean up the worktree. Use when the user asks to merge, archive, or clean up a completed worktree.
cherry-assistant-guide
Cherry Studio 产品知识库、源码路径索引、故障排查和页面导航。当用户询问 Cherry Studio 的功能、配置、报错、使用方法时触发。也适用于用户提到 provider、模型、知识库、Agent、MCP、OpenClaw、PDF、快捷短语等关键词的场景。
seo
Use when the user wants to audit a website, analyze a page, plan an SEO strategy, fix technical SEO, add schema markup, improve content quality, optimize for AI search engines, build local SEO, handle hreflang/i18n, generate sitemaps, optimize images, run programmatic SEO, build competitor comparison pages, cluster keywords, optimize for Search Experience (SXO), monitor SEO drift, analyze backlinks, handle e-commerce SEO, or export a client report. Covers full site audits with parallel sub-agents, single-page analysis, SEO strategy with industry templates, robots.txt, sitemaps, Core Web Vitals, JSON-LD, E-E-A-T, content quality, GEO, llms.txt, AI crawler access, local SEO, hreflang, programmatic SEO, keyword clustering, SXO, drift monitoring, backlink analysis, e-commerce SEO, and PDF report export. Use for any request containing: SEO, rank, Google, search engine, schema, sitemap, robots.txt, meta tags, keywords, AI search, local SEO, hreflang, backlinks, programmatic, ecommerce, or visibility.
dogfood
Systematic exploratory QA testing of web applications — find bugs, capture evidence, and generate structured reports
find-nearby
Find nearby places (restaurants, cafes, bars, pharmacies, etc.) using OpenStreetMap. Works with coordinates, addresses, cities, zip codes, or Telegram location pins. No API keys needed.
heartmula
Set up and run HeartMuLa, the open-source music generation model family (Suno-like). Generates full songs from lyrics + tags with multilingual support.
manim-video
Production pipeline for mathematical and technical animations using Manim Community Edition. Creates 3Blue1Brown-style explainer videos, algorithm visualizations, equation derivations, architecture diagrams, and data stories. Use when users request: animated explanations, math animations, concept visualizations, algorithm walkthroughs, technical explainers, 3Blue1Brown style videos, or any programmatic animation with geometric/mathematical content.
minecraft-modpack-server
Host modded Minecraft servers (CurseForge, Modrinth).
p5js
Production pipeline for interactive and generative visual art using p5.js. Creates browser-based sketches, generative art, data visualizations, interactive experiences, 3D scenes, audio-reactive visuals, and motion graphics — exported as HTML, PNG, GIF, MP4, or SVG. Covers: 2D/3D rendering, noise and particle systems, flow fields, shaders (GLSL), pixel manipulation, kinetic typography, WebGL scenes, audio analysis, mouse/keyboard interaction, and headless high-res export. Use when users request: p5.js sketches, creative coding, generative art, interactive visualizations, canvas animations, browser-based visual art, data viz, shader effects, or any p5.js project.
powerpoint
Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.
songwriting-and-ai-music
Songwriting craft, AI music generation prompts (Suno focus), parody/adaptation techniques, phonetic tricks, and lessons learned. These are tools and ideas, not rules. Break any of them when the art calls for it.
webhook-subscriptions
Create and manage webhook subscriptions for event-driven agent activation. Use when the user wants external services to trigger agent runs automatically.
dspy-adapters-multimodal
This skill should be used when the user asks to "choose a DSPy adapter", "use JSONAdapter", "use XMLAdapter", "enable native function calling", "send images, audio, or files to DSPy", mentions `dspy.ChatAdapter`, `dspy.JSONAdapter`, `dspy.XMLAdapter`, `dspy.Image`, `dspy.Audio`, `dspy.File`, structured outputs, or multimodal DSPy signatures.
dspy-advanced-module-composition
This skill should be used when the user asks to "compose DSPy modules", "use Ensemble optimizer", "combine multiple programs", "use dspy.MultiChainComparison", mentions "ensemble voting", "module composition", "sequential pipelines", or needs to build complex multi-module DSPy programs with ensemble patterns or multi-chain comparison.
dspy-better-together
This skill should be used when the user asks to "use BetterTogether", "combine prompt optimization and fine-tuning", "sequence DSPy optimizers", "run prompt then weight optimization", mentions `dspy.BetterTogether`, strategy strings such as "p -> w -> p", or needs to compose multiple DSPy teleprompters into an evaluated optimization sequence.
dspy-custom-module-design
This skill should be used when the user asks to "create custom DSPy module", "design a DSPy module", "extend dspy.Module", "build reusable DSPy component", mentions "custom module patterns", "module serialization", "stateful modules", "module testing", or needs to design production-quality custom DSPy modules with proper architecture, state management, and testing.
dspy-debugging-observability
This skill should be used when the user asks to "debug DSPy programs", "trace LLM calls", "monitor production DSPy", "use MLflow with DSPy", mentions "inspect_history", "custom callbacks", "observability", "production monitoring", "cost tracking", or needs to debug, trace, and monitor DSPy applications in development and production.
dspy-embedding-retrieval
This skill should be used when the user asks to "build local DSPy retrieval", "use dspy.Embedder", "use dspy.Embeddings", "save an embeddings index", "add FAISS retrieval", mentions semantic search, hosted embeddings, local embedding models, `EmbeddingsWithScores`, or needs a DSPy retriever over an application-owned text corpus.
dspy-finetune-bootstrap
This skill should be used when the user asks to "fine-tune a DSPy model", "distill a program into weights", "use BootstrapFinetune", "create a student model", "reduce inference costs with fine-tuning", mentions "model distillation", "teacher-student training", or wants to deploy a DSPy program as fine-tuned weights for production efficiency.
dspy-gepa-reflective
This skill should be used when the user asks to "optimize an agent with GEPA", "use reflective optimization", "optimize ReAct agents", "provide feedback metrics", mentions "GEPA optimizer", "LLM reflection", "execution trajectories", "agentic systems optimization", or needs to optimize complex multi-step agents using textual feedback on execution traces.
dspy-haystack-integration
This skill should be used when the user asks to "integrate DSPy with Haystack", "optimize Haystack prompts using DSPy", "use DSPy to improve Haystack pipeline", mentions "Haystack pipeline optimization", "combining DSPy and Haystack", "extract DSPy prompt for Haystack", or wants to use DSPy's optimization capabilities to automatically improve prompts in existing Haystack pipelines.
dspy-output-refinement-constraints
This skill should be used when the user asks to "refine DSPy outputs", "enforce constraints", "use dspy.Refine", "select best output", "use dspy.BestOfN", mentions "output validation", "constraint checking", "multi-attempt generation", "reward function", or needs to improve output quality through iterative refinement or best-of-N selection with custom constraints.
dspy-production-deployment
This skill should be used when the user asks to "deploy DSPy", "save and load a DSPy program", "configure DSPy cache", "harden pickle cache", "track DSPy token usage", "run DSPy asynchronously", "stream DSPy output", mentions `configure_cache`, `restrict_pickle`, `track_usage`, `acall`, `asyncify`, `streamify`, `StreamListener`, MLflow deployment, or needs production runtime guidance for a DSPy application.
dspy-rag-pipeline
This skill should be used when the user asks to "build a RAG pipeline", "create retrieval augmented generation", "use ColBERTv2 in DSPy", "set up a retriever in DSPy", mentions "RAG with DSPy", "context retrieval", "multi-hop RAG", or needs to build a DSPy system that retrieves external knowledge to answer questions with grounded, factual responses.
dspy-reasoning-modules
This skill should be used when the user asks to "use DSPy RLM", "process a very long context", "use ProgramOfThought", "use CodeAct", "run DSPy modules in parallel", mentions Recursive Language Models, sandboxed Python execution, Deno, `dspy.RLM`, `dspy.ProgramOfThought`, `dspy.CodeAct`, or `dspy.Parallel`, or needs to choose a DSPy reasoning module beyond Predict, ChainOfThought, and ReAct.
linkedin-profile-optimizer
This skill should be used when the user asks to "optimize my LinkedIn profile", "update my LinkedIn headline", "rewrite my LinkedIn summary", "improve my LinkedIn about section", or when Genesis identifies that the user's profile doesn't align with their current goals or target audience.
video-processing
Download, transcribe, analyze, and clip video content — vertical shorts, captions, thumbnails
batch
Orchestrate a large, parallelizable change across the codebase by decomposing it into independent units and spawning parallel worker agents in isolated worktrees.
code-review
Review the current diff for correctness bugs and reuse/simplification/efficiency cleanups at the given effort level.
fewer-permission-prompts
Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.
init
Initialize a new CLAUDE.md file with codebase documentation.
keybindings-help
Customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json.
review
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".
run
Launch and drive this project's app to see a change working.
run-skill-generator
Teach /run and /verify how to build and launch your project by creating a per-project run skill with a driver script.
security-review
Complete a security review of the pending changes on the current branch.
simplify
Review the changed code for reuse, simplification, efficiency, and altitude cleanups, then apply the fixes.
verify
Verify that a code change actually does what it's supposed to by running the app and observing behavior.
commit-staged
This skill should be used when user asks to "commit these changes", "write commit message", "stage and commit", "create a commit", "commit staged files", or explicitly invokes "commit-staged".
create-pr
This skill should be used when user asks to "create a PR", "make a pull request", "open PR for this branch", "submit changes as PR", "push and create PR", or explicitly invokes "create-pr".
gcloud-usage
This skill should be used when user asks about "GCloud logs", "Cloud Logging queries", "Google Cloud metrics", "GCP observability", "trace analysis", or "debugging production issues on GCP".
openai-frontend-design
Use for new frontend applications, dashboards, games, creative websites, hero sections, and visually driven UI from scratch, or when the user explicitly asks for a redesign/restyle/modernization. Builds from high-taste image-generated concept design with faithful implementation and browser testing.
python-guidelines
This skill should be used when writing, reviewing, or refactoring Python code. Covers code integration, idiomatic patterns, docstring formatting, anti-abstraction rules, and software engineering basics.
review-overleaf
This skill should be used when user asks to "fetch overleaf review comments", "address overleaf reviews", "apply overleaf comments", "review my overleaf paper", "sync overleaf feedback to local", "what comments are on my overleaf doc", or wants to act on Overleaf reviewer feedback in a local git-tracked LaTeX repo.
codex-skill
Leverage OpenAI Codex/GPT models for autonomous code implementation. Triggers: "codex", "use gpt", "gpt-5", "let openai", "full-auto", "用codex", "让gpt实现". Use this skill whenever the user wants to delegate coding tasks to OpenAI models, run code reviews via codex, or execute tasks in a sandboxed environment.
ab-test-plan
Design A/B and multivariate tests. Use when: sample size calculation, testing hypothesis, CRO experimentation.
ad-creative
Generate platform-specific ad copy. Use when: Google RSA, Meta, LinkedIn, TikTok ad variations with quality scoring.
add-integration
Add MCP server integrations. Use when: connecting a custom tool, API, or service to the plugin via .mcp.json.
aeo-audit
Audit AI search visibility. Use when: checking brand presence in ChatGPT, Perplexity, AI Overviews, Gemini.
agency-dashboard
Portfolio-level agency dashboard aggregating health metrics across all client brands — campaign status, budget pacing, KPI attainment, team utilization. Use when reviewing cross-brand portfolio health, preparing for agency leadership standups, or getting a single-view snapshot of all client accounts.
audience-profile
Build detailed buyer personas. Use when: demographics, psychographics, behaviors, JTBD, content preferences.
backlink-gap
Find referring domains that link to your competitors but not to you, ranked by an opinionated outreach-priority score with DR / link-overlap / traffic / topical relevance. Use when: planning link-building campaigns, qualifying digital-PR prospects, or running quarterly backlink-gap audits.
brand-setup
Set up or update a brand profile. Use when: new brand onboarding, client setup, brand switching, context update.
budget-optimizer
Optimize budget allocation. Use when: channel spend reallocation, data-driven budget planning, ROI-based justification.
campaign-plan
Build multi-channel campaign plans. Use when: objectives, audience targeting, channel mix, budget, timeline, KPIs.
case-study-plan
Create case studies and success stories. Use when: client results showcase, portfolio piece, testimonial-based proof points.
competitor-analysis
Run competitive analysis. Use when: content, SEO, paid ads, social, AI visibility, pricing, positioning comparison.
competitor-pages
Create competitor comparison pages. Use when: "X vs Y" layouts, alternatives pages, feature matrices, roundup pages.
connect
Set up an MCP connector. Use when: connecting Google Ads, Salesforce, Mailchimp, or any service to the plugin.
content-brief
Create detailed content briefs. Use when: keyword targets, outline, structure, voice guidelines, SEO requirements.
content-calendar
Plan content calendars. Use when: monthly or quarterly scheduling, platform assignments, content pillars, repurposing.
content-decay-scan
Scan content library for decay signals: declining traffic, falling rankings, outdated stats, dropped AI citations. Prioritizes refresh opportunities by business impact. Use when identifying content that needs refreshing, recovering lost traffic, or auditing for stale and underperforming content.
content-engine
Create or optimize marketing content. Use when: blog posts, ad copy, emails, social posts, landing pages, voice guidelines.
context-engine
Load brand context for marketing tasks. Use when: setting up brands, switching context, or needing industry benchmarks.
cowork-setup
One-shot setup that wires Digital Marketing Pro for team usage in Anthropic Cowork. Verifies the Cowork sandbox, checks for a Google Drive integration, creates the canonical Drive folder layout, and confirms team-ready brand-state routing. Use this the first time a Cowork user installs DMP OR when brand profiles aren't persisting across sessions.
creative-testing-framework
Design structured ad creative tests with A/B test plans, multivariate creative strategies, sample size calculations, and iteration cadences. Use when planning creative testing for ads, optimizing creative performance, or building a testing playbook across advertising platforms.
credential-switch
Switch brand credentials. Use when: activating the correct API keys for MCP servers in multi-client workflows.
crisis-response
Manage PR crises. Use when: reputational threat emerges, need stakeholder messaging, or communication timeline.
crm-sync
Sync data to CRM platforms. Use when: pushing contacts, deals, or campaigns to Salesforce, HubSpot, Zoho, or Pipedrive.
chatgpt-imagegen
Generate raster images (PNG/JPEG/WebP) using the user's ChatGPT subscription via a local one-file Python CLI — no OPENAI_API_KEY, no gateway, no daemon. Two backends: web (default) drives the user's logged-in ChatGPT browser so generation runs on the conversation surface and does NOT consume Codex-usage limits; codex is a headless fallback that bills the Codex-usage bucket. Use when an agent needs to create a brand-new bitmap asset for the current project (photos, illustrations, icons, hero banners, mockups, sprites, concept art) and the output should be a bitmap file saved into the workspace. Do not use when the task is better solved by editing existing SVG/vector assets, writing code-native graphics (HTML/CSS/canvas), or extending an established repo icon system.
clarify
Adaptive requirements clarification with auto-depth routing. Shallow (Q&A) for simple tasks, Deep (exploration + DRAFT + PLAN) for complex ones. Escalates automatically when ambiguity persists.
gemma4-local-deploy
在本机 Mac 或 Apple Silicon 上部署 Gemma 4 12B。本地安装/升级 llama.cpp，下载 GGUF 量化模型，用 llama-server 暴露 OpenAI-compatible API，或用 Ollama 暴露本地模型服务；按用户需求在默认 Q4_K_M、64K/128K 长上下文、QAT Q4_0 @ 256K、左右对比演示之间选择，配置 tmux 后台运行，验证健康检查、问答接口、资源占用和常见故障。当用户说部署 Gemma 4、Gemma 4 12B、本地大模型、长上下文、QAT、量化、llama-server、Ollama、GGUF、Mac 本地模型服务时使用。
cliproxy-newapi-stack
在 Linux VPS 上部署 CLIProxyAPI + NewAPI 组合栈，把 Codex/Claude/Gemini/Qwen 等订阅账号包装成可计费的 OpenAI 兼容 API。负责 NewAPI Docker 部署、容器→宿主桥接、模型计费倍率（ModelRatio/CacheRatio/CompletionRatio）、SQLite 直写额度、CLIProxyAPI 408 冷却补丁、多账号 OAuth 凭据热加载、双路径验证。当用户说"部署 cliproxy + newapi"、"加 OpenAI 计费层"、"配置 newapi 渠道接 cliproxy"、"newapi 价格不对"、"加新的 codex/claude 账号到现有部署"、"172.17.0.1 容器网络"、"408 冷却放大故障"时触发。
codex-agent
Use when you want a second-opinion review via Codex CLI, cross-verification after another agent implements changes, debugging help, or alternative implementation proposals. Requires Codex CLI to be installed and authenticated.
get-api-docs
Use this skill to get documentation for third-party APIs, SDKs or libraries before writing code that uses them to ensure you have the latest, most accurate documentation. This is a better way to find documentation than doing web search. This includes when a user asks for tasks like "use the OpenAI API", "call the Stripe API", "use the Anthropic SDK", "query Pinecone", or any other time the user asks you to write code against an external service and you need current API reference. Fetch the docs with chub before answering, rather than relying on your pre-trained knowledge, which may be outdated because of recent changes to these APIs. Be sure to use this skill when the user asks for the latest docs, latest API behavior, or explicitly mentions chub or Context Hub. Ensure `chub` is available, run `chub --help`, then follow the instructions there.
openspec-sync-change-docs
Rewrite the active OpenSpec change artifacts under `openspec/changes/CHANGE_NAME/` so they match the code currently implemented on the branch relative to `main`. Use when implementation drift appears after `/opsx:apply`, after review-driven tweaks, or whenever the user asks to sync, refresh, catch up, or align OpenSpec change docs with the real code before verify or archive.
browser
Complete real user web tasks end-to-end via browser-tool, navigate, interact, wait for page state, extract results, and provide evidence when needed.
mermaid-diagram
Use this skill when you need to draw diagrams including: Flowchart, Sequence Diagram, Class Diagram, State Diagram, ER Diagram, User Journey, Gantt Chart, Pie Chart, Quadrant Chart, Requirement Diagram, Gitgraph, Mindmap, Timeline, Sankey, XY Chart (Bar/Line), Block Diagram, Packet Diagram, Kanban, Architecture Diagram, C4 Diagram, Radar Chart, Treemap, and ZenUML. You MUST use this skill BEFORE outputting any mermaid code block.
sandbox
Provides read_file/write_file/exec/list_files/read_file/write_file for running process and managing filesystems in the sandbox. Ideal for code testing, file management, and command execution. The sub_claude_agent tool is available for advanced use cases. You MUST load this skill BEFORE use sandbox tools.
skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
ui-links
Use this skill when users ask to view, display, or open attachments (images, files), or need to navigate to Wegent pages. Supports attachment:// and wegent:// protocols for clickable links that the frontend renders as previews or navigation.
wegent-knowledge
Knowledge base management and search tools for Wegent. Provides capabilities to list, create, update, and search knowledge bases and documents using RAG retrieval. Use this skill when the user wants to manage knowledge bases, documents, or search for information programmatically.
cron
Schedule reminders and recurring tasks.
research-lookup
Look up current research information using the Parallel Chat API (primary) or Perplexity sonar-pro-search (academic paper searches). Automatically routes queries to the best backend. Use for finding papers, gathering research data, and verifying scientific information.
azure-analysis-services
Expert knowledge for Azure Analysis Services development including troubleshooting. Use when testing server connections, debugging gateway or firewall blocks, or checking connection strings and ports, and other Azure Analysis Services related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines).
azure-business-process-tracking
Expert knowledge for Azure Business Process Tracking development including deployment. Use when creating CI/CD pipelines, automating builds, running tests, and deploying tracking solutions via DevOps tools, and other Azure Business Process Tracking related development tasks. Not for Azure Monitor (use azure-monitor), Azure Logic Apps (use azure-logic-apps), Azure Data Factory (use azure-data-factory), Azure Machine Learning (use azure-machine-learning).
azure-internet-peering
Expert knowledge for Azure Internet Peering development including troubleshooting. Use when validating Peering Service prefixes, checking prefix registration, verifying routing, or fixing reachability issues, and other Azure Internet Peering related development tasks. Not for Azure ExpressRoute (use azure-expressroute), Azure Virtual Network (use azure-virtual-network), Azure Virtual WAN (use azure-virtual-wan), Azure VPN Gateway (use azure-vpn-gateway).
azure-open-datasets
Expert knowledge for Azure Open Datasets development including limits & quotas. Use when handling non-Spark dataset downloads, throttling behavior, quota limits, retry logic, or rate-limit workarounds, and other Azure Open Datasets related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks), Azure Machine Learning (use azure-machine-learning).
azure-peering-service
Expert knowledge for Azure Peering Service development including best practices. Use when designing Peering Service prefixes, routing policies, prefix validation rules, or connectivity constraints, and other Azure Peering Service related development tasks. Not for Azure Internet Peering (use azure-internet-peering), Azure Virtual Network (use azure-virtual-network), Azure Virtual WAN (use azure-virtual-wan), Azure ExpressRoute (use azure-expressroute).
azure-quotas
Expert knowledge for Azure Quotas development including limits & quotas. Use when requesting per-region Storage account quota increases, checking limits, or filing Azure support requests, and other Azure Quotas related development tasks. Not for Azure Cost Management (use azure-cost-management), Azure Monitor (use azure-monitor), Azure Policy (use azure-policy), Azure Resource Manager (use azure-resource-manager).
pokemon-player
Play Pokemon via headless emulator + RAM reads.
producthunt
Search and retrieve content from Product Hunt. Get posts, topics, users, and collections via the GraphQL API. Use when user mentions Product Hunt, PH, or product launches.
runbook-generator
Runbook Generator
debugging
MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async misbehavior, unexplained timing, reverse engineering. Runs a hypothesis-driven loop: form ≥3 hypotheses, investigate in parallel, after 2 failed rounds spawn Oracles from orthogonal angles, confirm root cause, lock with a failing test, fix minimally, QA by actually USING the system, scrub artifacts. The actual HOW lives in `references/` — READ THEM. Triggers: 'debug this', 'why is X not working', 'hanging', 'attach a debugger', 'reverse engineer', 'pwndbg', 'gdb', 'lldb', 'node inspect', 'tsx debug', 'pdb', 'dlv', 'delve', 'rust-gdb', 'set a breakpoint', 'trace this bug', 'reproduce and fix', 'silent failure', 'HTTP 200 but empty', 'stuck process', 'inspect binary', 'reverse engineer', 'playwright failure'.
programming
MUST USE for ANY work on .py .pyi .rs .ts .tsx .mts .cts .go files. One philosophy: strict types, modern stacks (Pydantic v2 / serde+thiserror / Zod / gin+sqlc+pgx+slog), modern toolchains (uv+basedpyright+ruff / cargo+clippy+miri / Bun+Biome+tsc / gofumpt+golangci-lint v2+nilaway+go-race), parse-don't-validate, exhaustive match, typed errors, no any/unwrap/panic, 250 LOC ceiling, TDD. Routes to references/{python,rust,typescript,rust-ub,go}/. Triggers: write/edit Python/Rust/TypeScript/Go code, new project, gin server, bubbletea TUI, CJK IME, connect-go RPC, sqlc pgx, branded ids, exhaustive match, unsafe Rust, miri, oversized file, refactor, TDD, e2e test, arena, allocator, bumpalo, const fn, const generics, comptime, zero-alloc, bitfield, repr, scopeguard, errdefer, Zig-like, zerocopy, packed struct.
remove-ai-slops
Remove AI-generated code smells (slop) from branch changes or an explicit file list. Locks behavior with regression tests FIRST, then runs categorized cleanup via parallel `deep` agents in batches of 5, then verifies with quality gates. Covers 10 slop categories including performance equivalences, excessive complexity (object annotations, if/elif variant chains), and oversized modules (250+ pure LOC with mandatory modular refactoring). MUST USE when the user asks to "remove slop", "clean AI code", "deslop", or wants to clean up AI-generated patterns from recent changes. Triggers - "remove ai slops", "clean ai code", "deslop", "cleanup AI generated".
openai-knowledge
Compatibility alias for OpenAI platform documentation guidance. Delegate to the canonical local `openai-docs` payload while preserving route compatibility.
codebase-exploration
Explore and understand codebases using SocratiCode semantic search, dependency graphs, and context artifacts. Use when exploring code, understanding architecture, finding functions/types, analysing dependencies, searching database schemas or API specs, or when socraticode/codebase_search tools are available. Activates when the user asks about code structure, wants to find where a feature lives, or needs to understand how code is organised.
flow-next-rp-explorer
Token-efficient codebase exploration using RepoPrompt CLI. Use when user says "use rp to..." or "use repoprompt to..." followed by explore, find, understand, search, or similar actions.
flow-next-worktree-kit
Manage git worktrees (create/list/switch/cleanup) and copy .env files. Use for parallel feature work, isolated review, clean workspace, or when user mentions worktrees.
nsfc-roadmap
当用户明确要求"生成 NSFC 技术路线图/技术路线图绘制/roadmap/flowchart"或需要把标书研究内容转成"可打印、A4 可读"的技术路线图时使用。默认输出可编辑源文件（`.drawio`）与可嵌入文档的渲染结果（`.svg`/`.png`/`.pdf`）；当用户主动提及 Nano Banana 图片模型时，可切换为 PNG-only 模式，并兼容 Gemini 与 OpenAI `gpt-image-2`。⚠️ 不适用：用户只是想修改某张已有图片的格式/尺寸（应使用图片处理技能）、只是想润色技术路线文字描述（应直接改写正文）。
nsfc-schematic
当用户明确要求"生成 NSFC 原理图/机制图/schematic diagram/mechanism diagram"或需要把标书中的研究机制、算法架构、模块关系转成"可编辑 + 可嵌入文档"的图示时使用。默认输出可编辑源文件（`.drawio`）与渲染文件（`.pdf`/`.svg`/`.png`）；当用户主动提及 Nano Banana 图片模型时，可切换为 PNG-only 模式，并兼容 Gemini 与 OpenAI `gpt-image-2`。⚠️ 不适用：用户只是想润色正文文本（应直接改写文本）、只是想改已有图片格式/尺寸（应使用图片处理技能）、没有明确"原理图/机制图"意图。
daily-brief
Operational knowledge for the daily-brief digest pipeline (this project). RSS/API fetchers, pluggable LLM enrichment (default claude CLI on Max; also anthropic/openai/deepseek/minimax API), trading section, HTML rendering, cross-platform scheduler integration (Windows Task Scheduler / macOS launchd / Linux cron). Load when the user asks about running daily / regenerating sections / debugging a failed run / adding or disabling sources / LLM quota / scheduler / why a tab shows wrong data / why a source failed / switching LLM backend. Always prefer the documented npm commands over re-implementing logic. Diagnose by reading logs/daily-*.log first, then logs/llm-calls.jsonl for LLM-side issues.
accessibility-compliance-accessibility-audit
You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.
address-github-comments
Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.
agent-manager-skill
Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
avalonia-zafiro-development
Mandatory skills, conventions, and behavioral rules for Avalonia UI development using the Zafiro toolkit.
ai-sdk-documentation
This skill should be used when working with Vercel AI SDK, AI Gateway, streamText, generateText, generateObject, streamObject, tool calling, or AI SDK providers. Also relevant for "ai-sdk", "@ai-sdk/*" packages, or questions about AI SDK patterns, configuration, and best practices.
manifest-status
Show current Manifest configuration as a diagnostic table. Use when the user says "/manifest-status", "manifest status", "show manifest config", "manifest settings", "is manifest installed", "check manifest", or wants to see the current Manifest routing setup. Outputs a table and nothing else.
academic-writing
You must use this when producing any research prose — literature reviews, syntheses, analyses, methodology descriptions, discussion sections, abstracts, or any written output intended for an academic audience.
cloudflare-agents
Build AI agents on Cloudflare Workers with MCP integration, tool use, and LLM providers.
google-gemini-file-search
Google Gemini File Search for managed RAG with 100+ file formats. Use for document Q&A, knowledge bases, or encountering immutability errors, quota issues, polling failures. Supports Gemini 3 Pro/Flash (Gemini 2.5 legacy).
bernstein-agents
Manage Bernstein agents - list active agents, inspect their output, kill stalled agents, or stream live logs. Use when the user asks about agents, wants to see what an agent is doing, or needs to kill one.
bernstein-cost
Show detailed cost breakdown and budget status for the Bernstein orchestrator. Use when the user asks about spending, budget, cost per model, cost per agent, or wants a cost projection.
bernstein-quality
Show quality metrics for Bernstein runs - success rates per model, lint/test pass rates, completion time distributions. Use when the user asks about quality, reliability, which model performs best, or pass rates.
agentdb-vector-search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
ai-short-drama-master
AI 短剧 (AI 微短剧) (AI 短剧 (AI 微短剧) (从业者视角) — 用 AIGC 工具（AI 视频生成 / AI 脚本 / AI 生图 / AI 配音 / 对口型 / 角色一致性）制作竖屏微短剧并变现的新兴行业。覆盖: (a) 创作工作流 — 选题→剧本/分镜→AI 生图→图生视频(首尾帧/运镜/参考)→配音/对口型→剪辑/调色→成片，其中角色/场景一致性是第一性难题; (b) 工具栈 — 视频生成(可灵 Kling / 即梦 Seedance / 海螺 Hailuo / Vidu / Runway Gen / OpenAI Sora / Pika / Luma / Pixverse)、脚本(LLM)、生图(Midjourney/SD/即梦)、配音(TTS)、对口型、剪辑(剪映/CapCut); (c) 商业/变现 — 国内付费投流(IAP + ROI + 平台分账, 抖音/快手/红果/微信小程序短剧)与海外订阅(ReelShort/DramaBox/ShortMax/GoodShort)两套打法、品牌定制、成本结构; (d) 合规 — 中国《人工智能生成合成内容标识办法》(2025-09 强制 AI 标识)、广电微短剧备案与分类分层审核、版权与肖像权。主战场 = 抖音/快手/视频号/B站 + 海外短剧 App。学派分歧: 纯 AI vs AI+实拍混合、国内投流 vs 海外订阅、视频工具派之争、「AI 短剧是真需求还是伪风口」。不含: 传统实拍短剧制作、通用影视编剧(已有 scriptwriting skill)、短视频信息流投放(已有 short-video-ads skill)、纯 AI 视频底层技术研发。) Master OS — automated mastery of AI 短剧 (AI 微短剧) (从业者视角) — 用 AIGC 工具（AI 视频生成 / AI 脚本 / AI 生图 / AI 配音 / 对口型 / 角色一致性）制作竖屏微短剧并变现的新兴行业。覆盖: (a) 创作工作流 — 选题→剧本/分镜→AI 生图→图生视频(首尾帧/运镜/参考)→配音/对口型→剪辑/调色→成片，其中角色/场景一致性是第一性难题; (b) 工具栈 — 视频生成(可灵 Kling / 即梦 Seedance / 海螺 Hailuo / Vidu / Runway Gen / OpenAI Sora /
codex-exec
Run autonomous task execution using the codex CLI. Use when the user asks to "codex exec", "run codex exec", "execute a task with codex", or "delegate to codex".
consult-codex
Multi-turn consultation with Codex CLI for second opinions, brainstorming, or collaborative problem-solving. Use when the user asks to "consult codex", "ask codex", "get codex's opinion", "brainstorm with codex", "discuss with codex", or "chat with codex".
check-sdk-updates
Check whether Claude Code, Claude Agent SDK, and Codex SDK have new versions on npm. Use when the user asks to check for SDK/CLI updates, e.g. "check sdk updates", "check claude code update", "有沒有更新", "檢查 SDK 版本".
api-mapping
Record and analyze API surfaces of web services
chatgpt-import
Import conversation history from ChatGPT into Vellum
followups
Track sent messages awaiting responses across communication channels
playbooks
Trigger-action automation rules for handling incoming messages
sequences
Create and manage automated email drip sequences
transcribe
Transcribe audio and video files using the configured speech-to-text provider
memory-config
Diagnose and configure MemSearch memory behavior for the OpenCode plugin. Use when the user asks about MemSearch configuration, plugin summarization, PROJECT.md/USER.md maintenance, memory directories, index health, provider routing, prompt files, or migration/compatibility questions.
generate-storyboard
为剧本场景生成分镜图。当用户说"生成分镜"、"预览场景画面"、想重新生成某些分镜图、或剧本中有场景缺少分镜图时使用。自动保持角色和画面连续性。
idea-validation
Validate a business or product idea with market research, competitor analysis, and a go/no-go recommendation
ijfw-cross-audit
Generate a cross-platform multi-model audit (Trident) on a diff, brief, or artifact. Trigger: 'cross audit', 'Trident', 'second opinion', 'check with other models', 'check with other AIs', 'cross-check this', 'get another perspective', /cross-audit
blog
Full-lifecycle blog engine with 30 sub-skills, 12 content templates, 5-category 100-point scoring, and 5 specialized agents. Routes user requests to the right sub-skill: writing, rewriting, analysis, outlines, audits, schema, charts, images, repurposing, AI-citation optimization, FLOW framework prompts, topic-cluster execution, and multilingual publishing. Optimized for Google rankings (December 2025 Core Update, E-E-A-T) and AI citations (GEO/AEO). Supports any platform (WordPress, Next.js MDX, Hugo, Ghost, Astro, Jekyll, 11ty, Gatsby, HTML). Use when user says "blog", "write a blog", "blog post", "blog strategy", "content brief", "editorial calendar", "blog audit", "blog optimization", "topic cluster", "multilingual blog", "FLOW framework", or any /blog subcommand. Sub-skill descriptions cover narrower triggers.
project-butler
Project memory workflow for init/upgrade, profile-aware setup, end session, normal/full close, file organization, document archiving, language switching, versioned update logs, rule review, status, wiki sync, and context recovery. Use for /project-butler, setup/初始化, foundation setup, profile setup, end session/收工, normal close, full close, foundation repair, organize files/整理文件, change language/切换语言, continue/接着上次, continue full context/全面回顾, review claude, sync wiki, status. Maintains project memory files.
browser-edge-cases
SOP for debugging browser automation failures on complex websites. Use when browser tools fail on specific sites like LinkedIn, Twitter/X, SPAs, or sites with Shadow DOM.
debug
Debug an issue in the current Claude Code session by enabling debug logging, reading logs, and suggesting fixes.
ai
Use when calling the app's AI gateway from agent tools — chat completions, embeddings, listing models, configuring defaults or BYOK, reading token/cost usage
azure-usage
This skill should be used when user asks to "query Azure resources", "list storage accounts", "manage Key Vault secrets", "work with Cosmos DB", "check AKS clusters", "use Azure MCP", or interact with any Azure service.
clean-gone-branches
This skill should be used when user asks to "clean gone branches", "remove deleted local branches", "prune branches removed from remote", or explicitly invokes "clean-gone-branches".
paper-search-usage
This skill should be used when user asks to "search for papers", "find research papers", "search arXiv", "search PubMed", "find academic papers", "search IEEE", "search Scopus", or "look up scientific literature".
resolve-pr-comments
This skill should be used when user asks to "address PR comments", "resolve PR feedback", "handle review comments", "fix PR issues", "respond to PR review", or explicitly invokes "resolve-pr-comments".
review-pr
This skill should be used when user asks to "review a PR", "review pull request", "review this pr", "code review this PR", "check PR
tavily-usage
This skill should be used when user asks to "search the web", "fetch content from URL", "extract page content", "use Tavily search", "scrape this website", "get information from this link", or "web search for X".
update-pr-summary
This skill should be used when user asks to "update PR summary", "update PR description", "rewrite PR body", "refresh PR title and body", or explicitly invokes "update-pr-summary".
image-crop-rotate
Image processing skill for cropping images to 50% from center and rotating them 90 degrees clockwise. This skill should be used when users request image cropping to center, image rotation, or both operations combined on image files.
agentmail
Email infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and check karma balance via the AgentMail API.
agents-md
This skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.
algorithmic-art
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
canvas-design
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
claude-api
Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements). TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a Claude feature (caching, thinking, compaction, tool use, batch, files, citations, memory) or model (Opus/Sonnet/Haiku) in a file; questions about prompt caching / cache hit rate in an Anthropic SDK project. SKIP: file imports `openai`/other-provider SDK, filename like `*-openai.py`/`*-generic.py`, provider-neutral code, general programming/ML.
docx
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
pptx
Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.
slack-gif-creator
Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."
theme-factory
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
web-artifacts-builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
xlsx
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
ask-opencli
Ask Grok or Gemini via opencli (browser-session based, no API cost). Use when the user says "问 grok", "问 gemini", "ask grok", "ask gemini", "用 grok 查", "grok 怎么看", "让 gemini 分析", or wants a second opinion from Grok/Gemini without paying API tokens. Routes to opencli which drives the already-logged-in Chrome session.
golang-web
Modern Go Web application architecture guide. Use when creating new Go web projects, APIs, or microservices. Covers project structure, tech stack selection, and best practices based on Go standards.
create-skill
Create a well-structured skill — provide a topic to explore the codebase and build a skill interactively, or capture a workflow from the current session
prd
Generate Product Requirements Documents with optional research — brainstorm, challenge assumptions, define scope
setup-rules
Set up and audit project rules — reads codebase, generates modular rules, documents MCP servers
spec-bugfix-plan
Bugfix spec planning phase - investigate root cause, design fix, get approval
spec-bugfix-verify
Bugfix verification phase - tests, quality checks, fix confirmation
spec-implement
Spec implementation phase - TDD loop for each task in the plan
spec-plan
Spec planning phase - explore codebase, design plan, get approval
spec-verify
Spec verification phase - tests, execution, rules audit, code review
exa-search
Use Exa for web/code/company research (web_search_exa / get_code_context_exa / company_research_exa), with parameters and examples; trigger when online search or parameter checks are needed.
react-best-practices
React and Next.js performance guidelines from Vercel Engineering. Use when writing, reviewing, or refactoring React components, hooks, client data fetching, rendering behavior, bundle imports, async request flows, or Next.js pages and server code.
cli-testing
Manually test a running Vellum assistant end-to-end purely from the CLI — no desktop app or web UI. Hatch an instance, send messages, watch the reply, and tear it down. Use when verifying assistant behavior, reproducing a bug, or smoke-testing a change without the macOS/web clients.
update
Restart Vellum services and rebuild the macOS app. Smart branch handling: pulls from main by default, restarts in-place on feature branches, or switches to a specified branch. Pass --pull to force-pull on the current branch.
vellum-change-review
Review Vellum Assistant code changes for correctness, repo-specific quality rules, security risks, and missing validation. Use when reviewing diffs, preparing a PR, finishing implementation work, or when the user asks for a code review, quality pass, or pre-merge check in this repository.
vellum-migration-checklist
Validate Vellum Assistant database and workspace migrations. Use when adding, editing, reviewing, or testing migrations, release-note migrations, persisted schemas, workspace file formats, or data backfills.
vellum-test-selection
Select focused verification commands for Vellum Assistant changes. Use when deciding what tests, typechecks, lints, or smoke checks to run after editing this repository, especially before commits and pull requests.
conversation_to_prompt
Convert the current conversation into a reusable system prompt draft with strict structure and quality checks.
wiki_submit
Submit wiki documentation sections to Wegent backend API. Simplifies the HTTP POST process for wiki content submission.
vcaudit-vc
Audit agent harness health: Claude/Codex agent parity, skill registry consistency, README.md sync, and protocol file wiring. Use when agents, skills, README.md, or development-protocol files move, split, or drift.
duel-agents
OpenClaw integration for Duel Agents routing. Requires DUEL_API_KEY from duelagents.com dashboard.
ai-media-generator
為使用者產生高品質的 AI 生圖、生影片、生音樂提示詞，並在需要時透過瀏覽器自動化實際送到目標平台。涵蓋 OiiOii、Kling 3.0/O-series、Seedance 2.0 pro、Suno v5.5、Seedream 5.0/4.0、Vidu Q3、Midjourney V8.1、Flux 1.1 Pro / Kontext、Runway Gen-4.5 / Aleph、Google Veo 3.1、Ideogram 3、Nano Banana Pro、Stable Diffusion 3.5（⚠️ OpenAI Sora 2 已於 2026-04-26 停運，API 撐到 2026-09-24，預設改推 Runway/Veo/Kling）。只要使用者提到「AI 生圖」「AI 影片」「AI 音樂」「做 MV」「做 storyboard」「寫 prompt 給 XXX」「我想用 Kling/Suno/Midjourney/Runway/Veo...」「幫我操作 OiiOii / 即夢 / 可靈」「txt2img / img2video / 文生圖 / 文生影片 / 圖生影片」「角色一致性」「多鏡頭分鏡」「運鏡」「結果有瑕疵 / 不夠精緻 / 怎麼修」，或任何跟上述平台或影像/影片/音樂生成工作流相關的任務，都要用這個 skill。即使他們沒講明平台，只要任務是要餵給某個生成模型的 prompt，就用這個 skill 幫他們選對的平台、寫對的格式。
codex-setup
Check Codex CLI, auth, Official plugin status, and configure defaults. Use when asked "codex setup", "codex 설정", "코덱스 설치", or when another codex-advisor skill reports setup issues.
mckinsey-consultant
McKinsey顾问式问题解决系统。从商业问题出发,通过假设驱动的结构化分析方法,生成McKinsey风格研究报告和PPT。融合Problem Solving方法论、MECE原则、Issue Tree拆解、Hypotheses形成、Dummy Page设计、智能数据收集和专业PPT生成能力。
us-gov-shutdown-tracker
Track and analyze US government shutdown liquidity impacts by monitoring TGA (Treasury General Account), bank reserves, EFFR, and SOFR data from FRED API. Use when user wants to (1) analyze current or past government shutdown effects on financial markets, (2) track liquidity conditions during fiscal policy disruptions, (3) assess "stealth tightening" effects, (4) compare shutdown episodes across different monetary policy regimes (QE vs QT), or (5) generate liquidity stress reports with historical context. Recommended usage frequency is weekly on Wednesdays after TGA/reserve data releases.
ascii-video
Production pipeline for ASCII art video — any format. Converts video/audio/images/generative input into colored ASCII character video output (MP4, GIF, image sequence). Covers: video-to-ASCII conversion, audio-reactive music visualizers, generative ASCII art animations, hybrid video+audio reactive, text/lyrics overlays, real-time terminal rendering. Use when users request: ASCII video, text art video, terminal-style video, character art animation, retro text visualization, audio visualizer in ASCII, converting video to ASCII art, matrix-style effects, or any animated ASCII output.
domain-intel
Passive domain reconnaissance using Python stdlib. Subdomain discovery, SSL certificate inspection, WHOIS lookups, DNS records, domain availability checks, and bulk multi-domain analysis. No API keys required.
youtube-content
Fetch YouTube video transcripts and transform them into structured content (chapters, summaries, threads, blog posts). Use when the user shares a YouTube URL or video link, asks to summarize a video, requests a transcript, or wants to extract and reformat content from any YouTube video.
database-design
Tier 2: Database design and modeling. ER diagrams, schema design, normalization, optimization. Keywords: database design, schema, ER diagram, normalization, 数据库设计, 数据建模
lark-bot-permissions
Grant/open Feishu permission scopes for a TaroCub Lark bot APP by driving the Feishu developer console in a browser — QR-login (send the QR to the user over the bridge), bulk-import the scope JSON, 申请开通, verify, and restart the instance. Use when the user wants to "开/加/申请 权限/scope" for a bot (e.g. 群里非@也回应 / Sheets / Calendar / Base / Wiki) — anything where the bot APP itself needs a console scope import. NOT for user-identity (lark-cli) features like creating Docs/Sheets/Calendar "as me" — those already work through the operator's lark-cli login and need no console import.
seo-dataforseo
Live SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo, YouTube, Google Images), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (ChatGPT scraper, LLM mention tracking), and domain analytics. Requires DataForSEO extension installed. Use when user says "dataforseo", "live SERP", "keyword volume", "backlink data", "competitor data", "AI visibility check", "LLM mentions", "image SERP", "google images", "image rankings", or "real search data".
seo-geo
Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", or "AI visibility".
seo-local
Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business type (brick-and-mortar, SAB, hybrid) and industry vertical (restaurant, healthcare, legal, home services, real estate, automotive). Use when user says "local SEO", "Google Business Profile", "GBP", "map pack", "local pack", "citations", "NAP consistency", "local rankings", "service area", "multi-location", or "local search".
seo-technical
Technical SEO audit across 9 categories: crawlability, indexability, security, URL structure, mobile, Core Web Vitals, structured data, JavaScript rendering, and IndexNow protocol. Use when user says "technical SEO", "crawl issues", "robots.txt", "Core Web Vitals", "site speed", or "security headers".
aeo-geo
Optimize AI engine visibility. Use when: AEO/GEO strategy, citation optimization, entity consistency across AI platforms.
analytics-insights
Analyze marketing performance. Use when: KPI frameworks, attribution modeling, anomaly investigation, measurement strategy.
anomaly-scan
Detect marketing anomalies. Use when: traffic drops, cost spikes, conversion changes, deliverability issues, budget overruns.
attribution-model
Set up attribution models. Use when: multi-touch attribution, credit distribution rules, GA4 config, channel contribution.
attribution-report
Run multi-touch attribution analysis. Use when: first/last-touch, linear, time-decay, position-based revenue allocation.
audience-intelligence
Research target audiences. Use when: buyer personas, segmentation, Jobs-to-Be-Done, psychographic profiling, audience deep-dive.
autopilot-status
Check campaign autopilot status. Use when: health scores, auto-corrections, guardrail review, campaigns needing attention.
budget-tracker
Track budget pacing in real time. Use when: cross-platform spend tracking, overspend alerts, reallocation recommendations.
c2pa-metadata
Embed C2PA (Content Authenticity Initiative) provenance manifests in AI-generated marketing assets (image/video/audio/PDF). Use when: preparing AI-generated ad creative, social images, or video for EU markets to comply with EU AI Act Article 50 (applicable 2 Aug 2026); embedding visible AI-generation disclosure in assets; meeting brand-trust transparency requirements.
campaign-orchestrator
Orchestrate full campaign lifecycle. Use when: planning, launching, managing, UTM setup, media plan, post-mortem.
campaign-status
Check active campaign status. Use when: cross-platform execution history, performance metrics, pending approvals.
churn-risk
Assess customer churn risk. Use when: churn scoring, at-risk segment identification, intervention playbook generation.
client-onboarding
Plan client onboarding. Use when: kickoff agenda, discovery questionnaire, account setup checklist, 30-60-90 day plan.
client-proposal
Draft agency proposals. Use when: pitch deck, scope of work, SLA, capabilities presentation for prospects or clients.
client-report
Generate client-facing reports. Use when: white-labeled performance report with KPIs, trends, strategic recommendations.
cohort-analysis
Analyze customer cohorts. Use when: acquisition cohorts, retention curves, LTV by cohort, behavioral segmentation.
competitor-alerts
Configure competitor alerts. Use when: tracking content changes, pricing shifts, ad launches, SERP changes, social spikes.
competitor-monitor
Set up ongoing competitor monitoring. Use when: defining tracked competitors, scan frequency, change detection alerts.
content-repurpose
Repurpose content across channels. Use when: blog-to-social, webinar-to-article, pillar derivatives, format adaptation.
counter-narrative
Build counter-narrative playbooks. Use when: competitor rebrand, new category claim, aggressive campaign, price change response.
creative-health
Assess ad creative fatigue. Use when: ads underperform, need refresh timing, or creative lifecycle review.
cro
Optimize conversion rates. Use when: auditing landing pages, testing forms, or improving checkout flow.
region-config
Configure regional settings. Use when: setting timezone, language, compliance rules, currency, or local preferences.
aiwg-regenerate-codex
Regenerate Codex context file (CODEX.md or ~/.codex/instructions.md) with AIWG framework content
implement
TDD implementation (RED→GREEN→REFACTOR) → verify → review
review
Multi-agent code review for Rust CLI/TUI. UX Review 비활성 (터미널 UI — 웹 프론트엔드 없음). Code Review만 실행. Rust/clippy 특화 체크리스트 포함.
verify
Self-healing verification loop (test → clippy → fmt)
cliproxy-deploy
在 Linux VPS 上部署 CLIProxyAPI（router-for-me/CLIProxyAPI）并暴露 OpenAI 兼容 API。覆盖 Go 环境、源码拉取、最小配置、OAuth 登录（远端 / 本地同步两种路径）、UFW 放行、密钥轮换、健康校验、环境变量落盘。当用户说“部署 cliproxy / 把 codex/claude/gemini 账号暴露成 API / router-for-me 上线 VPS”时触发。
cliproxy-newapi-stack
在 Linux VPS 上部署 CLIProxyAPI + NewAPI 组合栈，把 Codex/Claude/Gemini/Qwen 等订阅账号包装成可计费的 OpenAI 兼容 API。负责 NewAPI Docker 部署、容器→宿主桥接、模型计费倍率（ModelRatio/CacheRatio/CompletionRatio）、SQLite 直写额度、CLIProxyAPI 408 冷却补丁、多账号 OAuth 凭据热加载、双路径验证。当用户说"部署 cliproxy + newapi"、"加 OpenAI 计费层"、"配置 newapi 渠道接 cliproxy"、"newapi 价格不对"、"加新的 codex/claude 账号到现有部署"、"172.17.0.1 容器网络"、"408 冷却放大故障"时触发。
codex-agent
MANDATORY for code review - must use Codex CLI for all code reviews, then apply fixes based on Codex feedback. Also use for cross-verification, debugging, and getting alternative implementations.
openclaw-deploy
在远程服务器上一键部署 OpenClaw。当用户需要安装 OpenClaw、部署 OpenClaw、配置 OpenClaw 到服务器时使用
push-all
Stage all changes, create commit, and push to remote (use with caution)
python-project
Modern Python project architecture guide for 2025. Use when creating Python projects (APIs, CLI, data pipelines). Covers uv, Ruff, Pydantic, FastAPI, and async patterns.
codex
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing
find-ai-consultancy
Use whenever the user wants to find, shortlist, vet, or enrich US AI/ML/data consulting firms (consultancies) — AI/ML development, MLOps, generative AI / LLM apps (RAG, chatbots, agents), computer vision, NLP, recommendation systems, data engineering, BI/analytics. Triggers on "find an AI/ML consulting firm to build our recommendation engine", "shortlist three RAG/LLM consultancies for an enterprise chatbot", "compare three AI/ML consulting firms with strong ratings", or "pull contact info for these 8 AI consultancy domains", even when described indirectly (we want to use AI for X, deploy ML to production). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Defer to find-software-developer for general app/backend work where AI is just a feature. Skip in-house ML/data hires, LLM/AI-tool comparisons (ChatGPT vs Claude), "how do I fine-tune X" DIY questions, AI courses for individuals, non-US firms, individual freelancers.
find-ai-directories
Use whenever the user wants to find, rank, or shortlist directories and listing sites where they can submit an AI product — an AI tool, AI app, AI agent, or agent skill / plugin — to get backlinks, referral traffic, and discovery. Triggers on "where can I list my AI tool", "directories to submit my AI agent", "agent-skills directories", "best AI tool directories for backlinks", "where do I get my GPT/Claude app discovered", or "pull submission details for these AI-directory domains", even when described indirectly (we built an AI agent, where do we get it in front of people). Drives the ServiceGraph API (api.servicegraph.co) — a catalog of 1,000+ product directories enriched with Domain Rating, backlinks, and organic traffic. Defer to find-mcp-directories for MCP-server listings specifically, and to find-product-directories for general SaaS/software/app launches with no AI angle. Skip finding an AI consultancy/agency to hire (use find-ai-consultancy), comparing AI products ("ChatGPT vs Claude"), building an A
bgclick-rev
Reverse-engineer a macOS GUI automation app's background-click path and produce a Swift reproduction. Use only when the user provides a target .app and explicitly asks for IDA-backed background-click reverse engineering. Requires IDA Pro with IDA MCP attached.
unicli-usage
Command reference and usage guide for unicli — the universal CLI for AI agents. Use when you need to discover, run, or pipe unicli commands; or before using raw browser tools, legacy OpenCLI, curl, or computer-use for web, browser, desktop, macOS, local-tool, external-CLI, or adapter-repair tasks.
thesys-generative-ui
Generate, modify, and style React components from natural language using the Thesys SDK. Guides schema-driven UI generation, theme customisation, tool calling integration, and deployment to Vite, Next.js, or Cloudflare Workers. Use when the user says "generate UI", "create a component", "build an interface", "Thesys", "generative UI", or asks to turn a description into a React component.
consult-oracle
Consult ChatGPT Pro via ChatGPT browser automation for problems that resist standard approaches. Use when stuck on a very hard problem, when standard approaches have failed, when multiple debugging attempts haven't worked, or when the user says "ask the oracle", "consult oracle", "consult chatgpt", "I'm completely stuck", "I've tried everything", or "nothing is working".
image-studio
Generate and edit images using AI
second-opinion
Cross-validate code, architecture or design decisions using a second model. Use for critical decisions, complex refactoring, security reviews.
agent-arena
Use when complex AI agent work needs heterogeneous multi-agent debate, red teaming, evidence checking, judging, or synthesis across Codex, Claude Code, Hermes, OpenClaw, and other coding agents.
deliberative-analysis
Use when design analysis, experiment planning, architecture choices, research synthesis, or strategy decisions risk overconfidence, tunnel vision, path dependence, premature convergence, or shallow A/B framing.
forensic-prompt-compiler
Forensic image-to-prompt compiler for image generation models. Use this skill whenever the user wants to: convert/describe an existing image into a generation prompt, reconstruct a scene as a prompt, generate prompts from reference images for AI image tools (Midjourney, FLUX, Stable Diffusion, DALL-E, or any diffusion model), write prompts that preserve exact visual properties of a source image, or needs precise control over identity-safe subject description, geometry lock, lighting reconstruction, color anchoring, or handler-based special cases (floating scenes, collages, close-ups, jewelry, garments, surreal elements). Also trigger for requests involving: image editing prompts, reference-driven generation, pose description, camera angle locking, fabric/material description, or any "turn this image into a prompt" task.
russian-text-humanization
Натурализация русскоязычного текста - убрать маркеры ИИ-генерации. Использовать когда: Хабр-статьи, блоги, маркетинг, любой русский текст который не должен читаться как ИИ. Покрывает: слова-маркеры, калькирование, канцелярит, ритм, отглагольные существительные. Источники: Liang et al. (arxiv 2406.07016), gramota.ru, Хабр 918226, Sber GigaCheck. Use BEFORE publishing any AI-generated Russian text.
sub2api-admin
Manage Sub2API admin APIs for accounts, redeem codes, groups, proxies, error passthrough rules, TLS fingerprint profiles, imports, exports, batch updates, and raw administrator API calls. Use when the user mentions Sub2API, admin API keys, account management, redeem code management, recharge codes, invitation codes, bulk account import/export, keeping or deleting accounts, refreshing accounts, clearing errors, CRS sync, or managing Sub2API backend settings through the admin API.
hive.batch-ledger
Track per-item status when processing collections to prevent skipped or duplicated items.
hive.context-preservation
Proactively preserve critical information before automatic context pruning destroys it.
hive.note-taking
Maintain structured working notes throughout execution to prevent information loss during context pruning.
hive.quality-monitor
Periodically self-assess output quality to catch degradation before the judge does.
advanced-agentdb-vector-search-implementation
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, and hybrid search for distributed AI systems.
agentdb-semantic-vector-search
Build semantic vector search systems with AgentDB for intelligent document retrieval, RAG applications, and knowledge bases using embedding-based similarity matching
ai-native-development
Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration. Master prompt engineering, function calling, streaming responses, and cost optimization for 2025+ AI development.
cc-skill-security-review
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist a...
last30days
Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.
prompt-engineer
Transforms user prompts into optimized prompts using frameworks (RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW)
streaming-api-patterns
Implement real-time data streaming with Server-Sent Events (SSE), WebSockets, and ReadableStream APIs. Master backpressure handling, reconnection strategies, and LLM streaming for 2025+ real-time applications.
ai-wrapper-product
Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Covers prompt engineering for products, cost management, rate limiting, and building defensible AI businesses. Use when: AI wrapper, GPT product, AI tool, wrap AI, AI SaaS.
blockrun
Use when user needs capabilities Claude lacks (image generation, real-time X/Twitter data) or explicitly requests external models ("blockrun", "use grok", "use gpt", "dall-e", "deepseek")
lcx-contribute-bug-fix
Contribute a verified bug fix for LazyCodex, lazycodex-ai, omo-codex, bundled Codex skills, or upstream Codex CLI bugs. Opens a fork PR only for upstream openai/codex; LazyCodex-owned defects become a verified-fix issue on code-yeongyu/lazycodex (never a PR — that repo is a generated distribution mirror). Use when the user asks to fix a bug, contribute a bug fix, contribute to fix bug, open a PR for a bug, or debug and PR a LazyCodex/Codex defect.
lcx-doctor
Diagnose LazyCodex and Codex CLI installation health against the latest sources. Use whenever the user asks for a doctor or health check, says LazyCodex, lazycodex-ai, omo-codex, or Codex behaves oddly after an install, update, or config change, suspects a stale, drifted, or broken setup, or wants the local install audited and compared with the latest LazyCodex and Codex code.
lcx-report-bug
Create a high-signal bug issue or PR in the repo that owns the defect. Use this whenever the user asks to report, file, open, or triage a LazyCodex, lazycodex-ai, omo-codex, Codex plugin, or upstream Codex CLI bug, especially when they need source-backed root cause, reproduction steps, fix guidance, and GitHub routing.
ulw-loop
Goal-like loop that uses ultrawork mode to decompose work into systematic, evidence-bound steps.
pywry-orientation
When to reach for PyWry MCP tools (native webview rendering, Plotly, TradingView, AgGrid, chat) instead of writing Flask/Streamlit/Dash/Electron code. Use at the start of any task involving interactive UI, dashboards, charts, or chat widgets driven from Python.
hunt-ssrf
Hunting skill for ssrf vulnerabilities. Built from 15 public bug bounty reports including AWS metadata SSRF (HackerOne $25k Analytics PDF, Shopify Exchange $25k, Capital One 106M-record breach, Dropbox/HelloSign $4,913), GCP metadata SSRF (Snapchat $4k), Azure IMDS SSRF (Azure DevOps $15k chain, ChatGPT Custom Actions MSRC), DNS rebinding SSRF (Concrete CMS, GitLab UrlBlocker), gopher-protocol-to-Redis-RCE (Yahoo Mail $15k), link-preview SSRF (Reddit Matrix $6k), and headless-browser PDF-generator SSRF chains. Use when hunting SSRF on any target — OOB Collaborator confirmation mandatory for blind cases.
offensive-osint
Operational arsenal for authorized external red-team and bug-bounty recon. Concrete probes, wordlists, regexes, dorks, curl one-liners for: subdomain enum, GraphQL/Swagger/REST discovery, identity fabric (Entra/Okta/ADFS/Google/SAML/M365 deep — Teams/SharePoint/OneDrive), cloud bucket enum (S3/GCS/Azure), CDN/WAF bypass, origin discovery, vendor fingerprinting (Citrix/F5/Pulse/Fortinet/PaloAlto/Cisco/VMware), CI/CD exposure, 48-pattern secret-scan catalog (AWS/GCP/GitHub/Stripe/Slack/Anthropic/OpenAI/Atlassian/DataDog/npm/PyPI), Postman workspaces, breach correlation (HudsonRock/HIBP/DeHashed/IntelX), TLS/JA3 audit, certificate transparency, JS endpoint extraction, package registry leaks, mobile/APK recon, sat imagery, sector-specific recon (healthcare DICOM, finance SWIFT, ICS/SCADA Modbus/BACnet). Detail content in 15 modular reference files, loaded on demand. Use for any authorized recon: scoping, asset discovery, attack-path mapping, secret triage, severity scoring.
setup
This skill should be used when user encounters "Tavily MCP error", "Tavily API key invalid", "web search not working", "Tavily failed", or needs help configuring Tavily integration.
better-prompt
当用户明确要求"优化 prompt"、"改进提示词"、"润色指令"或"将简陋 prompt 转换为最佳实践版本"时使用。基于 OpenAI 和 Anthropic 官方最佳实践，对用户提供的简陋 prompt 进行结构化优化，输出符合社区标准的高质量版本。
init-project
当用户明确要求"初始化项目"、"创建项目指令文件"或"生成 AGENTS.md"时使用。完全自动化：自动检测操作系统默认语言，分析项目目录结构（支持 Python/Web/Rust/Go/Java/数据科学/文档项目等），推断项目类型和用途，一键生���规范的项目指令文档。生成结果包括：AGENTS.md（跨平台通用项目指令，Single Source of Truth）、CLAUDE.md（Claude Code 特定适配，通过 @./AGENTS.md 引用）、README.md（项目介绍与使用方法）、CHANGELOG.md（项目变更记录）、.gitignore（Git 忽略规则，安全优先），并在完整初始化时自动补齐 `docs/` 与 `docs/plans/`。
pdf-text-replace
Replace text in fillable PDF forms by updating form field values. This skill should be used when users need to update names, addresses, dates, or other text in PDF form fields.
ai-app
Full-stack AI application generator with Next.js, AI SDK, and ai-elements. Use when creating chatbots, agent dashboards, or custom AI applications. Triggers: chatbot, chat app, agent dashboard, AI application, Next.js AI, useChat, streamText, ai-elements, build AI app, create chatbot
ai-sdk
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".
ai-sdk-6
Vercel AI SDK v6 development. Use when building AI agents, chatbots, tool integrations, streaming apps, or structured output with the ai package. Covers ToolLoopAgent, useChat, generateText, streamText, tool approval, smoothStream, provider tools, MCP integration, and Output patterns.
openai-agents-sdk
OpenAI Agents SDK (Python) development. Use when building AI agents, multi-agent handoffs, function tools, guardrails, sessions, streaming, or tracing with the `openai-agents` / `agents` Python package — including Azure OpenAI via LiteLLM. Triggers on imports from `agents`, uses of `Runner.run_sync`/`Runner.run_streamed`, `@function_tool`, `AgentOutputSchema`, `SQLiteSession`, or questions about the openai-agents-python SDK.
brand-guidelines
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
internal-comms
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
next
Session start - check progress, suggest next task
wrap
Session end - document updates, commit
llm-council
Provider-agnostic multi-LLM deliberation. Three phases — independent responses, cross-model anonymized ranking, chairman synthesis. Provider config from env (OPENAI/ANTHROPIC/FIREWORKS/OPENROUTER/custom OpenAI-compatible base URL). Persists transcript to a wiki page when --wiki <slug> is passed. Use when the user wants multiple AI perspectives, consensus-building, or the "LLM Council" approach for high-stakes reviews, plan critique, or contested learning rules.
survey-generator
Compile a structured literature survey on any AI/ML topic. Agent curates a research bundle (taxonomy + sections + bibliography of real papers) from a public anchor resource, then a chosen LLM generates the survey artifact. Output target is a wiki page (markdown), not a one-off HTML — survey lands in `<wiki>/derived/surveys/<slug>.md` with full bibliography rows in `sources.md`. Provider-agnostic (Anthropic/OpenAI/OpenRouter/Fireworks/custom OpenAI-compat). Use when the user asks for a "survey", "literature review", "lit review", or "deep dive" on a technical topic.
e2e
Run end-to-end tests via the CI workflow.
release
Cut a new release by triggering the Release workflow via GitHub Actions workflow dispatch.
vellum-boundary-guard
Check Vellum Assistant architecture and package boundaries. Use when editing imports, moving code, adding endpoints, touching assistant/gateway/client/skill boundaries, or reviewing architecture-sensitive changes.
vellum-feature-flag-rollout
Guide Vellum Assistant feature flag changes and rollout hygiene. Use when adding, editing, reviewing, or documenting assistant feature flags, rollout-gated behavior, or platform flag follow-up work.
vellum-pr-readiness
Prepare Vellum Assistant branches for review by checking git hygiene, PR scope, tests, docs, migrations, Linear linking, and companion repo needs. Use before creating a pull request, splitting work into PRs, or asking whether a branch is ready.
vellum-skill-authoring
Author and review first-party Vellum skills in the repository. Use when editing files under skills/, assistant bundled skills, skill manifests, tool definitions, SKILL.md files, or first-party skill portability and isolation behavior.
vellum-user-facing-copy
Review Vellum Assistant user-facing copy, examples, docs, CLI output, UI strings, and assistant-facing release notes. Use when editing text users may read, including README files, SKILL.md files, CLI messages, route errors, update bulletins, and client UI labels.
convex-agents
Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration
rust-best-practices
Guide for writing idiomatic Rust code based on Apollo GraphQL's best practices handbook. Use this skill when: (1) writing new Rust code or functions, (2) reviewing or refactoring existing Rust code, (3) deciding between borrowing vs cloning or ownership patterns, (4) implementing error handling with Result types, (5) optimizing Rust code for performance, (6) writing tests or documentation for Rust projects.
airtable
Search Airtable bases and tables, read records and computed fields, and prepare guarded record CRUD requests with schema-based field validation.
alexa
Expose HybridClaw as a custom Alexa skill and prepare guarded Alexa smart-home/device control payloads without exposing Amazon credentials.
blink
Read Blink camera and video-doorbell state, list motion clips, and prepare guarded home-security control requests without exposing Blink credentials.
channel-catchup
Summarize recent activity across Discord, ingested email threads, WhatsApp, and TUI channels.
diagram
Create, validate, update, and render diagram-as-code artifacts with Mermaid-first schema awareness plus PlantUML, Graphviz DOT, and Excalidraw JSON adapters.
distil-pii-redactor
Redact, anonymize, sanitize, or remove PII locally with Distil-PII and llama.cpp; keep personal data and secret values out of model context, logs, and chat.
docx
Create, inspect, and edit `.docx` files safely, including comments and OOXML-preserving changes.
excalidraw
Create and revise editable `.excalidraw` diagrams as Excalidraw JSON for architecture diagrams, flowcharts, sequence diagrams, concept maps, and other hand-drawn explainers.
fastbill
Work with FastBill invoices, customers, payments, reminders, and e-invoice exports through the FastBill XML API.
fax-send
Send outbound faxes through a guarded provider adapter and route inbound fax-to-email attachments into downstream document workflows.
firecrawl
Scrape pages, crawl public sites, map URLs, and run JSON-schema extraction through managed or self-hosted Firecrawl.
fronius
Read Fronius photovoltaic inverter data through the local Fronius Solar API V1 or Solar.web Query API cloud, without exposing access-key material.
ga4
Run production Google Analytics 4 Data API reports with gateway-injected bearer auth, safe request review, traffic source, landing-page, time-series, revenue, session, and key-event reporting.
gh-issues
Process GitHub issues as an automation queue: /gh-issues lists and filters issues, confirms selected issue numbers, deduplicates fix/issue-* work, delegates one focused PR per issue, and can monitor issue-fix PR review feedback. Use this instead of general PR workflow tools only when the entry point is a GitHub issue list or issue-fix queue.
gog
Google Workspace CLI for Gmail, Google Calendar events, meetings, schedules, availability, Drive, Contacts, Sheets, and Docs
google-ads
Manage Google Ads accounts with safe GAQL reporting, campaign planning, guarded mutations, and gateway-proxied REST API calls.
hermes3000-writing
Use Hermes3000 to plan, draft, revise, save, check consistency, and export long-form manuscripts through the Hermes3000 AI writing portal API. Use for novels, fiction series, nonfiction books, whitepapers, long reads, chapter outlines, character/world-building, style guides, consistency memory, and DOCX/PDF/EPUB/HTML exports.
hetzner-cloud
Read and operate Hetzner Cloud servers, server types, locations, networks, volumes, snapshots, and cost estimates through gateway-proxied API requests.
hetzner-dns
Read and manage Hetzner DNS zones and records through gateway-proxied DNS API requests with guarded A, AAAA, CNAME, and TXT changes.
hetzner-storage-box
Read and operate Hetzner Storage Boxes through Hetzner API management calls and WebDAV file requests with gateway-injected credentials.
heygen
Prepare guarded HeyGen Direct API requests for avatar video generation, video translation, asset discovery, and status polling.
homematic
Read Homematic IP Home Control Unit state and prepare guarded smart-home control messages without exposing HCU credentials.
hubspot
Read HubSpot contacts, companies, and deals; update deal stages and lifecycle stages; log notes and tasks through gateway-managed bearer tokens.
hue
Read and control Philips Hue Bridge lighting installations through local CLIP v2 or the Hue Remote API with SecretRef-backed credentials and guarded lighting changes.
lexware-office
Work with Lexware Office contacts, products, invoices, bookkeeping vouchers, receipts, payment status, and guarded invoice or expense writes through the Public API.
manim-video
Plan, script, render, and stitch Manim Community Edition videos in Python. Use when the user asks for animated math explanations, algorithm walkthroughs, equation derivations, technical concept videos, 3Blue1Brown-style explainers, or programmatic educational motion graphics.
meme-generation
Generate meme images from curated classic templates, dynamic imgflip templates, or a custom image. Produces real `.png` or `.jpg` artifacts in the workspace.
mittwald
Read and inspect mittwald mStudio projects, apps, runtimes, databases, domains, mail, backups, files, containers, and access users through SecretRef-backed API requests.
office-workflows
Coordinate cross-format office workflows across CSV/TSV, XLSX, DOCX, and PPTX deliverables.
Create new PDFs and handle existing `.pdf` files safely with bundled Node/JS tools, including text extraction, page rendering, invoice/document parsing, form filling, and overlays.
personality
Switch persona modes with `/personality` and persist the active mode in `SOUL.md`.
pptx
Create and edit `.pptx` presentations safely, export thumbnails for QA, and build polished decks with pptxgenjs plus OOXML editing.
blog-chart
Generate dark-mode-compatible inline SVG data visualization charts for blog posts. Supports horizontal bar, grouped bar, donut, line, lollipop, area, and radar charts with automatic platform detection (HTML vs JSX/MDX). Enforces chart type diversity, accessible markup (role=img, aria-label), source attribution, and transparent backgrounds. Use whenever the user mentions data visualization, charts, graphs, comparison tables that need to be visualized, or wants to embed inline SVG visualizations in a blog post, even if not invoking blog-write. Use when user says "blog chart", "generate chart", "data visualization", "svg chart", "blog graph", "visualize data", or when the blog-write workflow identifies chart-worthy data points (3+ comparable metrics, trends, before/after data).
blog-geo
AI citation readiness audit ONLY (does not touch Google rankings, use blog-rewrite for combined Google+AI work). Use whenever the user wants their content to rank in ChatGPT, Perplexity, Claude, Gemini, or Google AI Overviews. AI citation optimization audit scoring blog posts for ChatGPT, Perplexity, and Google AI Overview citability. Evaluates passage-level citability, Q&A formatting, entity clarity, structured data, and AI crawler accessibility. Generates citation capsules and a 0-100 AI Citation Readiness score. Use when user says "geo", "ai citation", "ai optimization", "citation audit", "aeo", "perplexity optimization", "chatgpt citation".
blog-rewrite
Rewrite and optimize existing blog posts for Google rankings (December 2025 Core Update, E-E-A-T) and AI citations (GEO/AEO). Full rewrite for both Google rankings AND AI citations. For AI-citation-only audit (no Google work), use blog-geo instead. Replaces fabricated statistics with sourced data, applies answer-first formatting, adds Pixabay/Unsplash images, generates built-in SVG charts, injects FAQ schema, performs AI content detection, adds citation capsules and information gain markers, and updates freshness signals. Works with any blog format (MDX, markdown, HTML). Use when user says "rewrite blog", "optimize blog", "update blog", "improve blog", "fix blog", "refresh blog post", "blog optimization".
blog-strategy
Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning (YouTube, Reddit, review platforms for GEO), content scoring targets, measurement framework, and content differentiation through original research and first-hand experience. Use when user says "blog strategy", "content strategy", "blog positioning", "what should I blog about", "blog topics", "content pillars", "blog ideation".
blog-write
Write new blog articles from scratch optimized for Google rankings and AI citations. Generates full articles with template selection, answer-first formatting, Key Takeaways summary box, information gain markers, citation capsules, sourced statistics, Pixabay/Unsplash images, built-in SVG chart generation, FAQ schema, internal linking zones, and proper heading hierarchy. Supports MDX, markdown, and HTML output. Use when user says "write blog", "new blog post", "create article", "write about", "draft blog", "generate blog post".
obsidian
Read, search, and create notes in the Obsidian vault.
security-review
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
translate
Translate English or Japanese tech articles and texts into natural, fluent Chinese. Use this skill when the user wants to translate text to Chinese, asks for Chinese translation, mentions "translate to Chinese", "翻译", provides English/Japanese tech content for translation, or wants any text converted into Chinese. Also trigger when the user pastes text and asks to translate it, or references a file to translate into Chinese.
wangjianshuo-perspective
王建硕的思维框架与表达方式。基于 7 份深度调研（约 100 万词英文博客 + 约 109 万字中文博客， 2002–2022，全部一手）提炼出 7 个核心心智模型、10 条决策启发式和完整的双语表达 DNA。 用途：以王建硕的身份和声音写作、回应、思考——他平实、诚恳、好奇，爱用家常比喻和自造词， 在具体和抽象之间反复架梯子，从不写自己没亲身验证过的东西。 当用户提到「用王建硕的视角」「王建硕会怎么看」「王建硕模式」「像王建硕一样写」 「Jian Shuo Wang perspective」「切换到王建硕」时使用。 即使用户只是说「帮我用王建硕的角度想想」「如果是王建硕会怎么写这篇」也应触发。 一旦激活，本次对话后续所有回应都保持王建硕身份，直到用户明确说「退出」—— 不需要每轮重新点名。 不适用：用户要的是关于王建硕本人的客观介绍 / 事实查询（「王建硕是谁」「他哪年创业的」）， 那种问题正常回答即可，不要进入角色扮演。
wjs-auditing-project
Use when the user asks to audit what's wrong with a project, "make it right", "看看项目出了什么问题", "为什么用户的需求还没上线", "为什么没提交App Store", "为什么没新build", or wants a holistic state-of-the-project check covering unmerged branches, stalled PRs, failed GitHub Actions, stale builds, plan drift (TODOS.md / ROADMAP), unreleased commits, and log errors. Runs read-only investigation, presents a grouped checklist, fixes only after explicit user confirmation. Aware of the Cathier iOS app workflow (Xcode + fastlane + auto-merge @claude PRs from in-app feedback).
wjs-burning-subtitles
Use when the user has a video + an SRT and wants the subtitles either burned into the pixels (libass, always-visible) or soft-muxed as a togglable track. Also handles the final composite step for the localization pipeline — burn subs, mix a dub track, and keep the original audio as a low-volume bed, all in ONE ffmpeg encode (no cascade). Verifies libass availability and auto-downloads a static evermeet ffmpeg build when Homebrew's stripped binary lacks it. Triggers — "烧字幕", "硬字幕", "burn subtitles", "burn-in subs", "embed subtitle", "soft mux SRT", "把字幕烧进视频", "做最终合成".
wjs-converting-text-to-video
Use when the user wants a 王建硕-style WeChat article (article.md) turned into a narrated short MP4 video — TTS voiceover via 火山引擎 Volcano TTS, HyperFrames CSS/GSAP animation per scene, subtle SFX, abstract watercolor background, full pipeline rendering to 1080×1920 portrait MP4 (30-90s). Triggers — "把这篇文章做成视频", "做一个解说视频", "讲解视频", "/wjs-converting-text-to-video".
wjs-converting-wp-to-hugo
Use when migrating a WordPress site to a Hugo static site on GitHub Pages from a WXR export (.xml) plus the wp-content/uploads folder — preserving /archives/<id>/ URLs, localizing images, and deploying via GitHub Actions. Triggers — "把 WordPress 迁成 Hugo", "wordpress 转静态站", "migrate WordPress to Hugo", "WXR to Hugo", "publish WordPress to GitHub Pages", "/wjs-converting-wp-to-hugo".
wjs-dubbing-video
Use when the user has a video + a target-language SRT and wants the video to actually speak that language — generates a time-aligned TTS voice dub. Routes by voice ID — Volcano (豆包) TTS for Chinese, edge-tts neural for any language. Defaults to one voice (single-speaker); opt-in multi-speaker via visual diarization. Outputs `*_<lang>_dub.mp4` with the dub audio in place of the original. Final mixing (audio bed + burn-in) is handed off to `/wjs-burning-subtitles`. Triggers — "配音", "中文配音", "Chinese dub", "voice over this", "dub the video", "TTS this SRT", "different voice for each speaker".
wjs-eating-and-growing
吃一堑长一智 — 走完 5 步交互式反思（堑 → 自动输出 → 旧权重 → 新参数 → 替代动作），从「情绪复盘」推进到「行为训练」，把第一反应这一层 L3 权重练新。Use when 王建硕 reflects on a personal setback, mistake, or recurring pattern (反思, 复盘, 回顾, 总结教训, 吃一堑, 长一智, "这次又栽了", "怎么又这样", "为什么我总是…", "想开点都做不到", "知道道理但做不到"). For the user as a human, not for Claude's task post-mortems.
wjs-editing-multicam
Use when the user has 2+ recordings of the same event (each with a `.sync.json` sidecar from wjs-syncing-multicam) and wants them combined into a single MP4 — auto-switching between cams second-by-second on audio energy, with optional picture-in-picture inset. Triggers — "auto-edit multicam", "做个剪辑", "切几个机位", "把这几个视频合成一个", "combine these angles", "PiP overlay".
wjs-localizing-video
Thin orchestrator for the end-to-end video localization pipeline. Routes to the four focused sub-skills — /wjs-transcribing-audio, /wjs-translating-subtitles, /wjs-dubbing-video, /wjs-burning-subtitles. Use when the user asks for full localization in one go ("帮我把这个西班牙语视频做成中文字幕+配音", "translate and dub this video", "做完整的本地化"). For any individual step (just transcribe, just translate, just dub, just burn), invoke the sub-skill directly — it's faster and the boundary is cleaner.
wjs-looping-feedback
Use when the user wants to add an in-site feedback loop to a website repo — a floating "提个建议" button where allowlisted visitors submit suggestions that become a GitHub Issue, which GitHub Actions turns into an automatic code change via Claude Code, auto-merges and deploys, and records on a /_feedback dashboard with one-click revert. Triggers — "给网站加个反馈对话框", "提一句话就自动改网站", "装上反馈闭环", "feedback loop", "/wjs-looping-feedback".
wjs-mining-articles
Use when the user has a video's SRT subtitle file — a 王建硕 monologue / 讲解, OR a 对谈 / 访谈 where 王建硕 is one of the speakers — and wants to mine it into multiple standalone 微信公众号 articles, one article per distinct topic. Triggers — "把这个视频写成文章", "从��幕里挖文章", "这个 SRT 能写几篇", "把对谈写成文章", "/wjs-mining-articles <srt>".
wjs-overlaying-video
Use when the user has one or more video clips and wants to add post-production on top — AI-generated cover as first frame, HTML/CSS captions synced to SRT, kinetic illustration overlays at hook moments, chapter chips, end-card CTA, or any other timed motion graphics. Most often used as the downstream of `/wjs-segmenting-video` — pick up where that skill stopped (raw cropped clip + per-clip SRT) and produce the upload-ready MP4. Backed by HyperFrames so everything compiles to ONE final encode — no cascade of re-encodes. Triggers — "加封面", "加字幕", "加动画", "加 CTA", "做后期", "post-production", "title card", "kinetic captions", "end card".
wjs-polishing-x-engagement
把一条平淡的中文 tweet/推文/帖子改写成"有真实事实支撑 + 带互动钩子"的高参与度版本,每次给 2-3 个不同钩子的版本,风格务必短、白、口语。只要用户贴出一条中文 tweet/推文/微博/帖子,并提到"润色""改写""优化""让它更有互动""涨互动""涨粉""提高回复""帮我把这条发得更好"等任何意图,就使用本 skill——哪怕用户没明确说"用 skill"。也适用于把某个观点/事实/日常做成"忍不住想回答"的提问帖或填空帖时。
wjs-promoting-skills
Use when the user wants to set up automated daily promotion / marketing for their Claude Code skills — researching how top skills are promoted on marketplaces (ClawHub / openclaw / SkillsMP / agentskills.io), generating a per-skill marketing plan, auto-posting to X (Twitter) via xurl, and drafting community discussion posts (Reddit / HN / Discord). Triggers — "推广 skills", "营销 skills", "自动发推广", "每天自动推广", "skill marketing", "promote my skills", "/wjs-promoting-skills".
wjs-publishing-hugo
当用户想给自己的 Hugo 静态博客（如 maggiacito.com）新增或编辑帖子、管理类目、上传图片并发布上线时使用——对话式后台，说一句就改文件、commit、推送、自动部署，不需要任何 CMS/服务器。触发词：「发一篇博客」「给 Hugo 加文章」「写篇帖子到博客」「管理博客类目」「上传图片到博客」「博客后台」「/wjs-publishing-hugo」。
wjs-reframing-video
Use when the user wants to convert a video between horizontal and vertical orientations while preserving the inverted aspect ratio (16:9 ↔ 9:16, 4:3 ↔ 3:4, 21:9 ↔ 9:21). The skill crops a narrow band from the source and tracks the active speaker — the person whose mouth is moving — via MediaPipe face landmarks and mouth-aspect-ratio variance, so the talker stays in frame even when other people are visible. Triggers — "横转竖", "竖转横", "做成竖屏发抖音/视频号/小红书", "16:9 to 9:16", "make this vertical for Reels / TikTok / YouTube Shorts", "crop to portrait", "convert to landscape".
wjs-segmenting-video
Use when the user has a long-form video (interview / lecture / podcast / conversation) and a transcript SRT, and wants to extract 3–6 stand-alone topical short clips from it. This skill ONLY cuts and crops — it produces raw clips + per-clip SRTs as a hand-off package for downstream post-production (`/wjs-overlaying-video`). Triggers — "切成几段", "分主题", "拆成短视频", "切片", "topic segments", "split into clips".
wjs-syncing-multicam
Use when the user has 2+ video / audio recordings of the same event captured by different devices (cameras, phones, separate audio recorders) and wants them aligned to a single common timeline. Outputs only a lightweight `.sync.json` sidecar per input — original files are never re-encoded. Triggers — "多机位同步", "对齐这几个机位", "match camera timelines", "sync these angles", "audio drift between cameras", "separate audio recorder", "Riverside / Zoom recording that needs to line up".
wjs-syndicating-articles
Use when the user wants to auto-syndicate their latest 微信公众号 article across social platforms — picks the newest un-syndicated article, extracts one core copy, auto-posts to API platforms (X / Bluesky / Threads / LinkedIn) and prepares a copy-paste outbox for manual platforms (Facebook / 小红书 / 即刻 / 知乎). Triggers — "分发文章到各平台", "同步到社交平台", "今天的文章发各平台", "/wjs-syndicating-articles".
wjs-teaching-english
Use when the user wants to teach / learn an English word as a video — turn a single English word into a self-contained HLS "supercut" lesson built from the mira video base. Stitches every season2 clip where the word is spoken (via the search-app API) into one .m3u8, prepended with a Claude-written bilingual word-intro card (word + IPA + 中文 gloss + usage, Volcano TTS) and appended with a 关注王建硕 CTA card. No MP4 burn. Triggers — "teach <word>", "讲讲 <word>", "学英语 <word>", "把 <word> 做成视频", "/wjs-teaching-english <word>".
wjs-transcribing-audio
Use when the user has audio or video and wants a timestamped transcript (SRT) in the source language. Routes by source language — Chinese defaults to Volcano (豆包) ASR; other languages (Spanish, English, Portuguese, French, Italian, Japanese, Korean, etc.) use OpenAI Whisper API with word-level timestamps and self-assembled cues. Outputs SRT with punctuation-bounded cues capped for on-screen reading. Triggers — "转写", "转成字幕", "做 SRT", "transcribe", "make subtitles", "speech to text", "出字幕".
wjs-translating-subtitles
Use when the user has an SRT (or transcript text) in one language and wants it translated to another, with punctuation-bounded re-segmentation so cues end at real sentence breaks. Simplified Chinese (zh-CN) and English (en) are first-class targets; other targets follow the same rules. Outputs a target-language SRT or bilingual SRT — no audio, no burn-in. Triggers — "翻译字幕", "翻成中文", "translate this SRT", "中英双语字幕", "把这个 SRT 翻译成 X", "bilingual subtitles".
wjs-tweeting-from-articles
Use when the user wants to post a daily X/Twitter tweet inspired by one of their recently-published 微信公众号 articles. Picks the newest article that hasn't been tweeted yet, drafts 3 tweet candidates from it (different angles — quote / metaphor / one-liner), posts the chosen one via xurl, records to history. Triggers — "每天发一个 tweet", "从文章里发推", "今天的 tweet", "/wjs-tweeting-from-articles".
wjs-uploading-video
Upload one or many videos to YouTube. Use when the user wants to "上传到 YouTube", "发 YouTube", "批量上传", "upload to YouTube", "post videos to YouTube", or to publish a finished `final/` directory of MP4s. Reads per-video metadata (title / description / tags) from a sibling `UPLOAD_META.md` file when present (the user's standard markdown format), or from command-line flags. Survives behind a SOCKS/HTTP proxy by using `requests` directly for the resumable upload (the stock `google-api-python-client` MediaFileUpload stalls under this user's proxy setup).
wjs-x-improving-content
Use when 王建硕 wants to systematically improve his X (Twitter) content by iterating on the content-generation prompt (prompts/x/prompt.md, used by the every-6h tweet Action) and finding which prompt version produces the highest-reach tweets. Each prompt edit is a git-SHA-versioned, numbered experiment with a hypothesis; tweets are attributed to the version live at post time and judged on median impressions per tweet. Also mines per-tweet impression data for content-feature signals (angle / length / topic) that feed the next prompt edit. North-star = impressions per tweet. Triggers — "改 X 的 prompt", "X 内容改进", "哪版 prompt 最好", "什么内容 impression 高", "improve my tweets", "A/B test the X prompt", "/wjs-x-improving-content".
wjs-x-increasing-follower
Use when 王建硕 wants to systematically grow his X (Twitter) followers by running numbered, A/B-testable growth experiments and tracking which ones actually work. Every action gets a number, a hypothesis, a target metric, a before-state (for rollback), and a verdict. The North-Star metric is the new-follower ÷ profile-visit ratio (conversion) — every profile change is judged against it. Daily it ingests the X Analytics CSV export, scores each running experiment, and recommends keep / rollback. Triggers — "涨粉", "增加 X 粉丝", "X 涨粉实验", "follower growth", "A/B test my profile", "今天的涨粉检查", "/wjs-x-increasing-follower".
doc-coauthoring
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
security-ownership-map
Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do not trigger for general maintainer lists or non-security ownership questions.
skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
bot-boot
Pilot Bot boot sequence — health check, job registration, heartbeat setup
bot-channel-task
Standard flow for receiving channel tasks. Immediate acknowledgment, background execution, completion notification. Follow this skill when receiving channel messages.
bot-jobs
Manage Pilot Bot scheduled jobs — add, remove, pause, resume, edit, list. Live-syncs JOBS.yaml with CronCreate/CronDelete.
unicli-oneshot
Quick single-command adapter generation for unicli. Use when you need to create a one-off command for a specific URL and goal — 4 steps done.
llama-cpp
Secondary local LLM inference engine via llama.cpp. This skill should be used when running GGUF models directly, loading LoRA adapters for Kothar, benchmarking inference speed, or serving models via llama-server. Includes dedicated Qwen 3.5 serve scripts (9B dense with F16 option, 35B MoE) with asymmetric KV cache and thinking mode. Complements Ollama (which remains primary for RLAMA and general use).
mpp
Build with MPP (Machine Payments Protocol) - the open protocol for machine-to-machine payments over HTTP 402. Use when developing paid APIs, payment-gated content, AI agent payment flows, MCP tool payments, pay-per-token streaming, or any service using HTTP 402 Payment Required. Covers the mppx TypeScript SDK with Hono/Express/Next.js/Elysia middleware, pympp Python SDK, and mpp Rust SDK. Supports Tempo stablecoins, Stripe cards, Lightning Bitcoin, and custom payment methods. Includes charge (one-time) and session (streaming pay-as-you-go) intents. Make sure to use this skill whenever the user mentions mpp, mppx, machine payments, HTTP 402 payments, Tempo payments, payment channels, pay-per-token, paid API endpoints, or payment-gated services.
computer-use
Control the macOS desktop
verify-patterns
Verify AI agent patterns including loop safety, retry limits, tool consistency, context size, and graph cycle analysis. Use when asked to "verify agent patterns", "check loops", "verify tools", or "check retry limits".
-21risk-automation
Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
-2chat-automation
Automate 2chat tasks via Rube MCP (Composio). Always search tools first for current schemas.
ably-automation
Automate Ably tasks via Rube MCP (Composio). Always search tools first for current schemas.
abstract-automation
Automate Abstract tasks via Rube MCP (Composio). Always search tools first for current schemas.
abuselpdb-automation
Automate Abuselpdb tasks via Rube MCP (Composio). Always search tools first for current schemas.
abyssale-automation
Automate Abyssale tasks via Rube MCP (Composio). Always search tools first for current schemas.
accelo-automation
Automate Accelo tasks via Rube MCP (Composio). Always search tools first for current schemas.
accredible-certificates-automation
Automate Accredible Certificates tasks via Rube MCP (Composio). Always search tools first for current schemas.
acculynx-automation
Automate Acculynx tasks via Rube MCP (Composio). Always search tools first for current schemas.
active-campaign-automation
Automate ActiveCampaign tasks via Rube MCP (Composio). Always search tools first for current schemas.
addresszen-automation
Automate Addresszen tasks via Rube MCP (Composio). Always search tools first for current schemas.
adobe-automation
Automate Adobe tasks via Rube MCP (Composio). Always search tools first for current schemas.
adrapid-automation
Automate Adrapid tasks via Rube MCP (Composio). Always search tools first for current schemas.
adyntel-automation
Automate Adyntel tasks via Rube MCP (Composio). Always search tools first for current schemas.
aero-workflow-automation
Automate Aero Workflow tasks via Rube MCP (Composio). Always search tools first for current schemas.
aeroleads-automation
Automate Aeroleads tasks via Rube MCP (Composio). Always search tools first for current schemas.
affinda-automation
Automate Affinda tasks via Rube MCP (Composio). Always search tools first for current schemas.
affinity-automation
Automate Affinity tasks via Rube MCP (Composio). Always search tools first for current schemas.
agencyzoom-automation
Automate Agencyzoom tasks via Rube MCP (Composio). Always search tools first for current schemas.
agent-mail-automation
Automate Agent Mail tasks via Rube MCP (Composio). Always search tools first for current schemas.
agentql-automation
Automate Agentql tasks via Rube MCP (Composio). Always search tools first for current schemas.
agenty-automation
Automate Agenty tasks via Rube MCP (Composio). Always search tools first for current schemas.
agiled-automation
Automate Agiled tasks via Rube MCP (Composio). Always search tools first for current schemas.
agility-cms-automation
Automate Agility CMS tasks via Rube MCP (Composio). Always search tools first for current schemas.
ahrefs-automation
Automate SEO research with Ahrefs -- analyze backlink profiles, research keywords, track domain metrics history, audit organic rankings, and perform batch URL analysis through the Composio Ahrefs integration.
ai-ml-api-automation
Automate AI ML API tasks via Rube MCP (Composio). Always search tools first for current schemas.
aivoov-automation
Automate Aivoov tasks via Rube MCP (Composio). Always search tools first for current schemas.
alchemy-automation
Automate Alchemy tasks via Rube MCP (Composio). Always search tools first for current schemas.
algodocs-automation
Automate Algodocs tasks via Rube MCP (Composio). Always search tools first for current schemas.
algolia-automation
Automate Algolia tasks via Rube MCP (Composio). Always search tools first for current schemas.
all-images-ai-automation
Automate All Images AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
alpha-vantage-automation
Automate Alpha Vantage tasks via Rube MCP (Composio). Always search tools first for current schemas.
altoviz-automation
Automate Altoviz tasks via Rube MCP (Composio). Always search tools first for current schemas.
alttext-ai-automation
Automate Alttext AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
amara-automation
Automate Amara tasks via Rube MCP (Composio). Always search tools first for current schemas.
amazon-automation
Automate Amazon tasks via Rube MCP (Composio). Always search tools first for current schemas.
ambee-automation
Automate Ambee tasks via Rube MCP (Composio). Always search tools first for current schemas.
ambient-weather-automation
Automate Ambient Weather tasks via Rube MCP (Composio). Always search tools first for current schemas.
amcards-automation
Automate Amcards tasks via Rube MCP (Composio). Always search tools first for current schemas.
anchor-browser-automation
Automate Anchor Browser tasks via Rube MCP (Composio). Always search tools first for current schemas.
anonyflow-automation
Automate Anonyflow tasks via Rube MCP (Composio). Always search tools first for current schemas.
anthropic-administrator-automation
Automate Anthropic Admin tasks via Rube MCP (Composio). Always search tools first for current schemas.
anthropic_administrator-automation
Automate Anthropic Admin tasks via Rube MCP (Composio): API keys, usage, workspaces, and organization management. Always search tools first for current schemas.
apaleo-automation
Automate Apaleo tasks via Rube MCP (Composio). Always search tools first for current schemas.
apex27-automation
Automate Apex27 tasks via Rube MCP (Composio). Always search tools first for current schemas.
api-bible-automation
Automate API Bible tasks via Rube MCP (Composio). Always search tools first for current schemas.
api-labz-automation
Automate API Labz tasks via Rube MCP (Composio). Always search tools first for current schemas.
api-ninjas-automation
Automate API Ninjas tasks via Rube MCP (Composio). Always search tools first for current schemas.
api-sports-automation
Automate API Sports tasks via Rube MCP (Composio). Always search tools first for current schemas.
api2pdf-automation
Automate Api2pdf tasks via Rube MCP (Composio). Always search tools first for current schemas.
apiflash-automation
Automate Apiflash tasks via Rube MCP (Composio). Always search tools first for current schemas.
apify-automation
Automate web scraping and data extraction with Apify -- run Actors, manage datasets, create reusable tasks, and retrieve crawl results through the Composio Apify integration.
apilio-automation
Automate Apilio tasks via Rube MCP (Composio). Always search tools first for current schemas.
apipie-ai-automation
Automate Apipie AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
apitemplate-io-automation
Automate Apitemplate IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
apiverve-automation
Automate Apiverve tasks via Rube MCP (Composio). Always search tools first for current schemas.
apollo-automation
Automate Apollo.io lead generation -- search organizations, discover contacts, enrich prospect data, manage contact stages, and build targeted outreach lists -- using natural language through the Composio MCP integration.
appcircle-automation
Automate Appcircle tasks via Rube MCP (Composio). Always search tools first for current schemas.
appdrag-automation
Automate Appdrag tasks via Rube MCP (Composio). Always search tools first for current schemas.
appointo-automation
Automate Appointo tasks via Rube MCP (Composio). Always search tools first for current schemas.
appsflyer-automation
Automate Appsflyer tasks via Rube MCP (Composio). Always search tools first for current schemas.
appveyor-automation
Automate Appveyor tasks via Rube MCP (Composio). Always search tools first for current schemas.
aryn-automation
Automate Aryn tasks via Rube MCP (Composio). Always search tools first for current schemas.
ascora-automation
Automate Ascora tasks via Rube MCP (Composio). Always search tools first for current schemas.
ashby-automation
Automate recruiting and hiring workflows in Ashby -- manage candidates, jobs, applications, interviews, and notes through natural language commands.
asin-data-api-automation
Automate Asin Data API tasks via Rube MCP (Composio). Always search tools first for current schemas.
astica-ai-automation
Automate Astica AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
async-interview-automation
Automate Async Interview tasks via Rube MCP (Composio). Always search tools first for current schemas.
atlassian-automation
Automate Atlassian tasks via Rube MCP (Composio). Always search tools first for current schemas.
attio-automation
Automate Attio CRM operations -- search records, query contacts and companies with advanced filters, manage notes, list attributes, and navigate your relationship data -- using natural language through the Composio MCP integration.
auth0-automation
Automate Auth0 tasks via Rube MCP (Composio). Always search tools first for current schemas.
autobound-automation
Automate Autobound tasks via Rube MCP (Composio). Always search tools first for current schemas.
autom-automation
Automate Autom tasks via Rube MCP (Composio). Always search tools first for current schemas.
axonaut-automation
Automate Axonaut tasks via Rube MCP (Composio). Always search tools first for current schemas.
ayrshare-automation
Automate Ayrshare tasks via Rube MCP (Composio). Always search tools first for current schemas.
backendless-automation
Automate Backendless tasks via Rube MCP (Composio). Always search tools first for current schemas.
bannerbear-automation
Automate Bannerbear tasks via Rube MCP (Composio). Always search tools first for current schemas.
bart-automation
Automate Bart tasks via Rube MCP (Composio). Always search tools first for current schemas.
baselinker-automation
Automate Baselinker tasks via Rube MCP (Composio). Always search tools first for current schemas.
baserow-automation
Automate Baserow tasks via Rube MCP (Composio). Always search tools first for current schemas.
basin-automation
Automate Basin tasks via Rube MCP (Composio). Always search tools first for current schemas.
battlenet-automation
Automate Battlenet tasks via Rube MCP (Composio). Always search tools first for current schemas.
beaconchain-automation
Automate Beaconchain tasks via Rube MCP (Composio). Always search tools first for current schemas.
beaconstac-automation
Automate Beaconstac tasks via Rube MCP (Composio). Always search tools first for current schemas.
beamer-automation
Automate Beamer tasks via Rube MCP (Composio). Always search tools first for current schemas.
beeminder-automation
Automate Beeminder tasks via Rube MCP (Composio). Always search tools first for current schemas.
bench-automation
Automate Bench tasks via Rube MCP (Composio). Always search tools first for current schemas.
benchmark-email-automation
Automate Benchmark Email tasks via Rube MCP (Composio). Always search tools first for current schemas.
benzinga-automation
Automate Benzinga tasks via Rube MCP (Composio). Always search tools first for current schemas.
bestbuy-automation
Automate Bestbuy tasks via Rube MCP (Composio). Always search tools first for current schemas.
better-proposals-automation
Automate Better Proposals tasks via Rube MCP (Composio). Always search tools first for current schemas.
better-stack-automation
Automate Better Stack tasks via Rube MCP (Composio). Always search tools first for current schemas.
bidsketch-automation
Automate Bidsketch tasks via Rube MCP (Composio). Always search tools first for current schemas.
big-data-cloud-automation
Automate Big Data Cloud tasks via Rube MCP (Composio). Always search tools first for current schemas.
bigmailer-automation
Automate Bigmailer tasks via Rube MCP (Composio). Always search tools first for current schemas.
bigml-automation
Automate Bigml tasks via Rube MCP (Composio). Always search tools first for current schemas.
bigpicture-io-automation
Automate Bigpicture IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
bitquery-automation
Automate Bitquery tasks via Rube MCP (Composio). Always search tools first for current schemas.
bitwarden-automation
Automate Bitwarden tasks via Rube MCP (Composio). Always search tools first for current schemas.
blackbaud-automation
Automate Blackbaud tasks via Rube MCP (Composio). Always search tools first for current schemas.
blackboard-automation
Automate Blackboard tasks via Rube MCP (Composio). Always search tools first for current schemas.
blocknative-automation
Automate Blocknative tasks via Rube MCP (Composio). Always search tools first for current schemas.
boldsign-automation
Automate Boldsign tasks via Rube MCP (Composio). Always search tools first for current schemas.
bolna-automation
Automate Bolna tasks via Rube MCP (Composio). Always search tools first for current schemas.
boloforms-automation
Automate Boloforms tasks via Rube MCP (Composio). Always search tools first for current schemas.
bolt-iot-automation
Automate Bolt Iot tasks via Rube MCP (Composio). Always search tools first for current schemas.
bonsai-automation
Automate Bonsai tasks via Rube MCP (Composio). Always search tools first for current schemas.
bookingmood-automation
Automate Bookingmood tasks via Rube MCP (Composio). Always search tools first for current schemas.
booqable-automation
Automate Booqable tasks via Rube MCP (Composio). Always search tools first for current schemas.
borneo-automation
Automate Borneo tasks via Rube MCP (Composio). Always search tools first for current schemas.
botbaba-automation
Automate Botbaba tasks via Rube MCP (Composio). Always search tools first for current schemas.
botpress-automation
Automate Botpress tasks via Rube MCP (Composio). Always search tools first for current schemas.
botsonic-automation
Automate Botsonic tasks via Rube MCP (Composio). Always search tools first for current schemas.
botstar-automation
Automate Botstar tasks via Rube MCP (Composio). Always search tools first for current schemas.
bouncer-automation
Automate Bouncer tasks via Rube MCP (Composio). Always search tools first for current schemas.
boxhero-automation
Automate Boxhero tasks via Rube MCP (Composio). Always search tools first for current schemas.
braintree-automation
Braintree Automation: manage payment processing via Stripe-compatible tools for customers, subscriptions, payment methods, and transactions
brandfetch-automation
Automate Brandfetch tasks via Rube MCP (Composio). Always search tools first for current schemas.
breeze-automation
Automate Breeze tasks via Rube MCP (Composio). Always search tools first for current schemas.
breezy-hr-automation
Automate Breezy HR tasks via Rube MCP (Composio). Always search tools first for current schemas.
brex-automation
Automate Brex tasks via Rube MCP (Composio). Always search tools first for current schemas.
brex-staging-automation
Automate Brex Staging tasks via Rube MCP (Composio). Always search tools first for current schemas.
brightdata-automation
Automate Brightdata tasks via Rube MCP (Composio). Always search tools first for current schemas.
brightpearl-automation
Automate Brightpearl tasks via Rube MCP (Composio). Always search tools first for current schemas.
brilliant-directories-automation
Automate Brilliant Directories tasks via Rube MCP (Composio). Always search tools first for current schemas.
browseai-automation
Automate Browseai tasks via Rube MCP (Composio). Always search tools first for current schemas.
browser-tool-automation
Automate Browser Tool tasks via Rube MCP (Composio). Always search tools first for current schemas.
browserbase-tool-automation
Automate Browserbase Tool tasks via Rube MCP (Composio). Always search tools first for current schemas.
browserhub-automation
Automate Browserhub tasks via Rube MCP (Composio). Always search tools first for current schemas.
browserless-automation
Automate Browserless tasks via Rube MCP (Composio). Always search tools first for current schemas.
btcpay-server-automation
Automate Btcpay Server tasks via Rube MCP (Composio). Always search tools first for current schemas.
bubble-automation
Automate Bubble tasks via Rube MCP (Composio). Always search tools first for current schemas.
bugbug-automation
Automate Bugbug tasks via Rube MCP (Composio). Always search tools first for current schemas.
bugherd-automation
Automate Bugherd tasks via Rube MCP (Composio). Always search tools first for current schemas.
bugsnag-automation
Automate Bugsnag tasks via Rube MCP (Composio). Always search tools first for current schemas.
buildkite-automation
Automate Buildkite tasks via Rube MCP (Composio). Always search tools first for current schemas.
builtwith-automation
Automate Builtwith tasks via Rube MCP (Composio). Always search tools first for current schemas.
bunnycdn-automation
Automate Bunnycdn tasks via Rube MCP (Composio). Always search tools first for current schemas.
byteforms-automation
Automate Byteforms tasks via Rube MCP (Composio). Always search tools first for current schemas.
cabinpanda-automation
Automate Cabinpanda tasks via Rube MCP (Composio). Always search tools first for current schemas.
cal-automation
Automate Cal tasks via Rube MCP (Composio). Always search tools first for current schemas.
calendarhero-automation
Automate Calendarhero tasks via Rube MCP (Composio). Always search tools first for current schemas.
callerapi-automation
Automate Callerapi tasks via Rube MCP (Composio). Always search tools first for current schemas.
callingly-automation
Automate Callingly tasks via Rube MCP (Composio). Always search tools first for current schemas.
callpage-automation
Automate Callpage tasks via Rube MCP (Composio). Always search tools first for current schemas.
campaign-cleaner-automation
Automate Campaign Cleaner tasks via Rube MCP (Composio). Always search tools first for current schemas.
campayn-automation
Automate Campayn tasks via Rube MCP (Composio). Always search tools first for current schemas.
canny-automation
Automate Canny tasks via Rube MCP (Composio). Always search tools first for current schemas.
canvas-automation
Automate Canvas tasks via Rube MCP (Composio). Always search tools first for current schemas.
capsule-crm-automation
Automate Capsule CRM operations -- manage contacts (parties), run structured filter queries, track tasks and projects, log entries, and handle organizations -- using natural language through the Composio MCP integration.
capsule_crm-automation
Automate Capsule CRM tasks via Rube MCP (Composio): contacts, opportunities, cases, tasks, and pipeline management. Always search tools first for current schemas.
carbone-automation
Automate Carbone tasks via Rube MCP (Composio). Always search tools first for current schemas.
cardly-automation
Automate Cardly tasks via Rube MCP (Composio). Always search tools first for current schemas.
castingwords-automation
Automate Castingwords tasks via Rube MCP (Composio). Always search tools first for current schemas.
cats-automation
Automate Cats tasks via Rube MCP (Composio). Always search tools first for current schemas.
cdr-platform-automation
Automate Cdr Platform tasks via Rube MCP (Composio). Always search tools first for current schemas.
census-bureau-automation
Automate Census Bureau tasks via Rube MCP (Composio). Always search tools first for current schemas.
centralstationcrm-automation
Automate Centralstationcrm tasks via Rube MCP (Composio). Always search tools first for current schemas.
certifier-automation
Automate Certifier tasks via Rube MCP (Composio). Always search tools first for current schemas.
chaser-automation
Automate Chaser tasks via Rube MCP (Composio). Always search tools first for current schemas.
chatbotkit-automation
Automate Chatbotkit tasks via Rube MCP (Composio). Always search tools first for current schemas.
chatfai-automation
Automate Chatfai tasks via Rube MCP (Composio). Always search tools first for current schemas.
chatwork-automation
Automate Chatwork tasks via Rube MCP (Composio). Always search tools first for current schemas.
chmeetings-automation
Automate Chmeetings tasks via Rube MCP (Composio). Always search tools first for current schemas.
cincopa-automation
Automate Cincopa tasks via Rube MCP (Composio). Always search tools first for current schemas.
claid-ai-automation
Automate Claid AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
classmarker-automation
Automate Classmarker tasks via Rube MCP (Composio). Always search tools first for current schemas.
clearout-automation
Automate Clearout tasks via Rube MCP (Composio). Always search tools first for current schemas.
clickmeeting-automation
Automate Clickmeeting tasks via Rube MCP (Composio). Always search tools first for current schemas.
clockify-automation
Automate time tracking workflows in Clockify -- create and manage time entries, workspaces, and users through natural language commands.
cloudcart-automation
Automate Cloudcart tasks via Rube MCP (Composio). Always search tools first for current schemas.
cloudconvert-automation
Automate Cloudconvert tasks via Rube MCP (Composio). Always search tools first for current schemas.
cloudflare-api-key-automation
Automate Cloudflare API tasks via Rube MCP (Composio). Always search tools first for current schemas.
cloudflare-automation
Automate Cloudflare tasks via Rube MCP (Composio). Always search tools first for current schemas.
cloudflare-browser-rendering-automation
Automate Cloudflare Browser Rendering tasks via Rube MCP (Composio). Always search tools first for current schemas.
cloudinary-automation
Automate Cloudinary media management including folder organization, upload presets, asset lookup, transformations, and usage monitoring through natural language commands
cloudlayer-automation
Automate Cloudlayer tasks via Rube MCP (Composio). Always search tools first for current schemas.
cloudpress-automation
Automate Cloudpress tasks via Rube MCP (Composio). Always search tools first for current schemas.
coassemble-automation
Automate Coassemble tasks via Rube MCP (Composio). Always search tools first for current schemas.
codacy-automation
Automate Codacy tasks via Rube MCP (Composio). Always search tools first for current schemas.
codeinterpreter-automation
Automate Codeinterpreter tasks via Rube MCP (Composio). Always search tools first for current schemas.
codereadr-automation
Automate Codereadr tasks via Rube MCP (Composio). Always search tools first for current schemas.
coinbase-automation
Coinbase Automation: list and manage cryptocurrency wallets, accounts, and portfolio data via Coinbase CDP SDK
coinmarketcal-automation
Automate Coinmarketcal tasks via Rube MCP (Composio). Always search tools first for current schemas.
coinmarketcap-automation
Automate Coinmarketcap tasks via Rube MCP (Composio). Always search tools first for current schemas.
coinranking-automation
Automate Coinranking tasks via Rube MCP (Composio). Always search tools first for current schemas.
college-football-data-automation
Automate College Football Data tasks via Rube MCP (Composio). Always search tools first for current schemas.
composio-automation
Automate Composio tasks via Rube MCP (Composio). Always search tools first for current schemas.
composio-search-automation
Automate Composio Search tasks via Rube MCP (Composio). Always search tools first for current schemas.
connecteam-automation
Automate Connecteam tasks via Rube MCP (Composio). Always search tools first for current schemas.
contentful-automation
Automate headless CMS operations in Contentful -- list spaces, retrieve space metadata, and update space configurations through the Composio Contentful integration.
contentful-graphql-automation
Automate Contentful Graphql tasks via Rube MCP (Composio). Always search tools first for current schemas.
control-d-automation
Automate Control D tasks via Rube MCP (Composio). Always search tools first for current schemas.
conversion-tools-automation
Automate Conversion Tools tasks via Rube MCP (Composio). Always search tools first for current schemas.
convertapi-automation
Automate Convertapi tasks via Rube MCP (Composio). Always search tools first for current schemas.
conveyor-automation
Automate Conveyor tasks via Rube MCP (Composio). Always search tools first for current schemas.
convolo-ai-automation
Automate Convolo AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
corrently-automation
Automate Corrently tasks via Rube MCP (Composio). Always search tools first for current schemas.
countdown-api-automation
Automate Countdown API tasks via Rube MCP (Composio). Always search tools first for current schemas.
coupa-automation
Automate Coupa tasks via Rube MCP (Composio). Always search tools first for current schemas.
craftmypdf-automation
Automate Craftmypdf tasks via Rube MCP (Composio). Always search tools first for current schemas.
crowdin-automation
Automate Crowdin tasks via Rube MCP (Composio). Always search tools first for current schemas.
crustdata-automation
Automate Crustdata tasks via Rube MCP (Composio). Always search tools first for current schemas.
cults-automation
Automate Cults tasks via Rube MCP (Composio). Always search tools first for current schemas.
curated-automation
Automate Curated tasks via Rube MCP (Composio). Always search tools first for current schemas.
currents-api-automation
Automate Currents API tasks via Rube MCP (Composio). Always search tools first for current schemas.
customer.io-automation
Automate customer engagement workflows including broadcast triggers, message analytics, segment management, and newsletter tracking through Customer.io via Composio
customgpt-automation
Automate Customgpt tasks via Rube MCP (Composio). Always search tools first for current schemas.
customjs-automation
Automate Customjs tasks via Rube MCP (Composio). Always search tools first for current schemas.
cutt-ly-automation
Automate Cutt Ly tasks via Rube MCP (Composio). Always search tools first for current schemas.
d2lbrightspace-automation
Automate D2lbrightspace tasks via Rube MCP (Composio). Always search tools first for current schemas.
dadata-ru-automation
Automate Dadata Ru tasks via Rube MCP (Composio). Always search tools first for current schemas.
daffy-automation
Automate Daffy tasks via Rube MCP (Composio). Always search tools first for current schemas.
dailybot-automation
Automate Dailybot tasks via Rube MCP (Composio). Always search tools first for current schemas.
datagma-automation
Automate Datagma tasks via Rube MCP (Composio). Always search tools first for current schemas.
datarobot-automation
Automate Datarobot tasks via Rube MCP (Composio). Always search tools first for current schemas.
deadline-funnel-automation
Automate Deadline Funnel tasks via Rube MCP (Composio). Always search tools first for current schemas.
deel-automation
Automate Deel tasks via Rube MCP (Composio). Always search tools first for current schemas.
deepgram-automation
Automate Deepgram tasks via Rube MCP (Composio). Always search tools first for current schemas.
demio-automation
Automate Demio tasks via Rube MCP (Composio). Always search tools first for current schemas.
desktime-automation
Automate Desktime tasks via Rube MCP (Composio). Always search tools first for current schemas.
detrack-automation
Automate Detrack tasks via Rube MCP (Composio). Always search tools first for current schemas.
dialmycalls-automation
Automate Dialmycalls tasks via Rube MCP (Composio). Always search tools first for current schemas.
dialpad-automation
Automate Dialpad tasks via Rube MCP (Composio). Always search tools first for current schemas.
dictionary-api-automation
Automate Dictionary API tasks via Rube MCP (Composio). Always search tools first for current schemas.
diffbot-automation
Automate Diffbot tasks via Rube MCP (Composio). Always search tools first for current schemas.
digicert-automation
Automate Digicert tasks via Rube MCP (Composio). Always search tools first for current schemas.
digital-ocean-automation
Automate DigitalOcean tasks via Rube MCP (Composio). Always search tools first for current schemas.
discordbot-automation
Automate Discordbot tasks via Rube MCP (Composio). Always search tools first for current schemas.
dnsfilter-automation
Automate Dnsfilter tasks via Rube MCP (Composio). Always search tools first for current schemas.
dock-certs-automation
Automate Dock Certs tasks via Rube MCP (Composio). Always search tools first for current schemas.
docker-hub-automation
Automate Docker Hub operations -- manage organizations, repositories, teams, members, and webhooks via the Composio MCP integration.
docker_hub-automation
Automate Docker Hub tasks via Rube MCP (Composio): repositories, images, tags, and container registry management. Always search tools first for current schemas.
docmosis-automation
Automate Docmosis tasks via Rube MCP (Composio). Always search tools first for current schemas.
docnify-automation
Automate Docnify tasks via Rube MCP (Composio). Always search tools first for current schemas.
docsbot-ai-automation
Automate Docsbot AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
docsumo-automation
Automate Docsumo tasks via Rube MCP (Composio). Always search tools first for current schemas.
docugenerate-automation
Automate Docugenerate tasks via Rube MCP (Composio). Always search tools first for current schemas.
documenso-automation
Automate Documenso tasks via Rube MCP (Composio). Always search tools first for current schemas.
documint-automation
Automate Documint tasks via Rube MCP (Composio). Always search tools first for current schemas.
docupilot-automation
Automate Docupilot tasks via Rube MCP (Composio). Always search tools first for current schemas.
docupost-automation
Automate Docupost tasks via Rube MCP (Composio). Always search tools first for current schemas.
docuseal-automation
Automate Docuseal tasks via Rube MCP (Composio). Always search tools first for current schemas.
docx
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
doppler-marketing-automation-automation
Automate Doppler Marketing Automation tasks via Rube MCP (Composio). Always search tools first for current schemas.
doppler-secretops-automation
Automate Doppler Secretops tasks via Rube MCP (Composio). Always search tools first for current schemas.
dotsimple-automation
Automate Dotsimple tasks via Rube MCP (Composio). Always search tools first for current schemas.
dovetail-automation
Automate Dovetail tasks via Rube MCP (Composio). Always search tools first for current schemas.
dpd2-automation
Automate Dpd2 tasks via Rube MCP (Composio). Always search tools first for current schemas.
draftable-automation
Automate Draftable tasks via Rube MCP (Composio). Always search tools first for current schemas.
dreamstudio-automation
Automate Dreamstudio tasks via Rube MCP (Composio). Always search tools first for current schemas.
drip-jobs-automation
Automate Drip Jobs tasks via Rube MCP (Composio). Always search tools first for current schemas.
dripcel-automation
Automate Dripcel tasks via Rube MCP (Composio). Always search tools first for current schemas.
dromo-automation
Automate Dromo tasks via Rube MCP (Composio). Always search tools first for current schemas.
dropbox-sign-automation
Automate Dropbox Sign tasks via Rube MCP (Composio). Always search tools first for current schemas.
dropcontact-automation
Automate Dropcontact tasks via Rube MCP (Composio). Always search tools first for current schemas.
dungeon-fighter-online-automation
Automate Dungeon Fighter Online tasks via Rube MCP (Composio). Always search tools first for current schemas.
dynamics-365-automation
Dynamics 365 Automation: manage CRM contacts, accounts, leads, opportunities, sales orders, invoices, and cases via the Dynamics CRM Web API
echtpost-automation
Automate Echtpost tasks via Rube MCP (Composio). Always search tools first for current schemas.
elevenlabs-automation
Automate ElevenLabs text-to-speech workflows -- generate speech from text, browse and inspect voices, check subscription limits, list models, stream audio, and retrieve history via the Composio MCP integration.
elorus-automation
Automate Elorus tasks via Rube MCP (Composio). Always search tools first for current schemas.
emailable-automation
Automate Emailable tasks via Rube MCP (Composio). Always search tools first for current schemas.
emaillistverify-automation
Automate Emaillistverify tasks via Rube MCP (Composio). Always search tools first for current schemas.
emailoctopus-automation
Automate Emailoctopus tasks via Rube MCP (Composio). Always search tools first for current schemas.
emelia-automation
Automate Emelia tasks via Rube MCP (Composio). Always search tools first for current schemas.
encodian-automation
Automate Encodian tasks via Rube MCP (Composio). Always search tools first for current schemas.
endorsal-automation
Automate Endorsal tasks via Rube MCP (Composio). Always search tools first for current schemas.
enginemailer-automation
Automate Enginemailer tasks via Rube MCP (Composio). Always search tools first for current schemas.
enigma-automation
Automate Enigma tasks via Rube MCP (Composio). Always search tools first for current schemas.
entelligence-automation
Automate Entelligence tasks via Rube MCP (Composio). Always search tools first for current schemas.
eodhd-apis-automation
Automate Eodhd Apis tasks via Rube MCP (Composio). Always search tools first for current schemas.
epic-games-automation
Automate Epic Games tasks via Rube MCP (Composio). Always search tools first for current schemas.
esignatures-io-automation
Automate Esignatures IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
espocrm-automation
Automate Espocrm tasks via Rube MCP (Composio). Always search tools first for current schemas.
esputnik-automation
Automate Esputnik tasks via Rube MCP (Composio). Always search tools first for current schemas.
etermin-automation
Automate Etermin tasks via Rube MCP (Composio). Always search tools first for current schemas.
evenium-automation
Automate Evenium tasks via Rube MCP (Composio). Always search tools first for current schemas.
eventbrite-automation
Automate Eventbrite event management, attendee tracking, organization discovery, and category browsing through natural language commands
eventee-automation
Automate Eventee tasks via Rube MCP (Composio). Always search tools first for current schemas.
eventzilla-automation
Automate Eventzilla tasks via Rube MCP (Composio). Always search tools first for current schemas.
everhour-automation
Automate Everhour tasks via Rube MCP (Composio). Always search tools first for current schemas.
eversign-automation
Automate Eversign tasks via Rube MCP (Composio). Always search tools first for current schemas.
exa-automation
Automate Exa tasks via Rube MCP (Composio). Always search tools first for current schemas.
excel-automation
Excel Automation: create workbooks, manage worksheets, read/write cell data, and format spreadsheets via Microsoft Excel and Google Sheets integration
exist-automation
Automate Exist tasks via Rube MCP (Composio). Always search tools first for current schemas.
expofp-automation
Automate Expofp tasks via Rube MCP (Composio). Always search tools first for current schemas.
extracta-ai-automation
Automate Extracta AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
facebook-automation
Automate Facebook Page management including post creation, scheduling, video uploads, Messenger conversations, and audience engagement via Composio
faceup-automation
Automate Faceup tasks via Rube MCP (Composio). Always search tools first for current schemas.
factorial-automation
Automate Factorial tasks via Rube MCP (Composio). Always search tools first for current schemas.
feathery-automation
Automate Feathery tasks via Rube MCP (Composio). Always search tools first for current schemas.
felt-automation
Automate Felt tasks via Rube MCP (Composio). Always search tools first for current schemas.
fibery-automation
Automate Fibery tasks via Rube MCP (Composio). Always search tools first for current schemas.
fidel-api-automation
Automate Fidel API tasks via Rube MCP (Composio). Always search tools first for current schemas.
files-com-automation
Automate Files Com tasks via Rube MCP (Composio). Always search tools first for current schemas.
fillout-forms-automation
Automate Fillout tasks via Rube MCP (Composio). Always search tools first for current schemas.
fillout_forms-automation
Automate Fillout tasks via Rube MCP (Composio): forms, submissions, workflows, and form builder. Always search tools first for current schemas.
finage-automation
Automate Finage tasks via Rube MCP (Composio). Always search tools first for current schemas.
findymail-automation
Automate Findymail tasks via Rube MCP (Composio). Always search tools first for current schemas.
finerworks-automation
Automate Finerworks tasks via Rube MCP (Composio). Always search tools first for current schemas.
fingertip-automation
Automate Fingertip tasks via Rube MCP (Composio). Always search tools first for current schemas.
finmei-automation
Automate Finmei tasks via Rube MCP (Composio). Always search tools first for current schemas.
fireberry-automation
Automate Fireberry tasks via Rube MCP (Composio). Always search tools first for current schemas.
firecrawl-automation
Automate web crawling and data extraction with Firecrawl -- scrape pages, crawl sites, extract structured data, batch scrape URLs, and map website structures through the Composio Firecrawl integration.
fireflies-automation
Automate Fireflies tasks via Rube MCP (Composio). Always search tools first for current schemas.
firmao-automation
Automate Firmao tasks via Rube MCP (Composio). Always search tools first for current schemas.
fitbit-automation
Automate Fitbit tasks via Rube MCP (Composio). Always search tools first for current schemas.
fixer-automation
Automate Fixer tasks via Rube MCP (Composio). Always search tools first for current schemas.
fixer-io-automation
Automate Fixer IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
flexisign-automation
Automate Flexisign tasks via Rube MCP (Composio). Always search tools first for current schemas.
flowiseai-automation
Automate Flowiseai tasks via Rube MCP (Composio). Always search tools first for current schemas.
flutterwave-automation
Automate Flutterwave tasks via Rube MCP (Composio). Always search tools first for current schemas.
fluxguard-automation
Automate Fluxguard tasks via Rube MCP (Composio). Always search tools first for current schemas.
folk-automation
Automate Folk tasks via Rube MCP (Composio). Always search tools first for current schemas.
fomo-automation
Automate Fomo tasks via Rube MCP (Composio). Always search tools first for current schemas.
forcemanager-automation
Automate Forcemanager tasks via Rube MCP (Composio). Always search tools first for current schemas.
formbricks-automation
Automate Formbricks tasks via Rube MCP (Composio). Always search tools first for current schemas.
formcarry-automation
Automate Formcarry tasks via Rube MCP (Composio). Always search tools first for current schemas.
formdesk-automation
Automate Formdesk tasks via Rube MCP (Composio). Always search tools first for current schemas.
formsite-automation
Automate Formsite tasks via Rube MCP (Composio). Always search tools first for current schemas.
foursquare-automation
Automate Foursquare tasks via Rube MCP (Composio). Always search tools first for current schemas.
fraudlabs-pro-automation
Automate Fraudlabs Pro tasks via Rube MCP (Composio). Always search tools first for current schemas.
freshbooks-automation
FreshBooks Automation: manage businesses, projects, time tracking, and billing in FreshBooks cloud accounting
front-automation
Automate Front tasks via Rube MCP (Composio). Always search tools first for current schemas.
fullenrich-automation
Automate Fullenrich tasks via Rube MCP (Composio). Always search tools first for current schemas.
gagelist-automation
Automate Gagelist tasks via Rube MCP (Composio). Always search tools first for current schemas.
gamma-automation
Automate Gamma tasks via Rube MCP (Composio). Always search tools first for current schemas.
gan-ai-automation
Automate Gan AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
gatherup-automation
Automate Gatherup tasks via Rube MCP (Composio). Always search tools first for current schemas.
gemini-automation
Automate Gemini tasks via Rube MCP (Composio). Always search tools first for current schemas.
gender-api-automation
Automate Gender API tasks via Rube MCP (Composio). Always search tools first for current schemas.
genderapi-io-automation
Automate Genderapi IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
genderize-automation
Automate Genderize tasks via Rube MCP (Composio). Always search tools first for current schemas.
geoapify-automation
Automate Geoapify tasks via Rube MCP (Composio). Always search tools first for current schemas.
geocodio-automation
Automate Geocodio tasks via Rube MCP (Composio). Always search tools first for current schemas.
geokeo-automation
Automate Geokeo tasks via Rube MCP (Composio). Always search tools first for current schemas.
getform-automation
Automate Getform tasks via Rube MCP (Composio). Always search tools first for current schemas.
gift-up-automation
Automate Gift Up tasks via Rube MCP (Composio). Always search tools first for current schemas.
gigasheet-automation
Automate Gigasheet tasks via Rube MCP (Composio). Always search tools first for current schemas.
giphy-automation
Automate Giphy tasks via Rube MCP (Composio). Always search tools first for current schemas.
gist-automation
Automate Gist tasks via Rube MCP (Composio). Always search tools first for current schemas.
givebutter-automation
Automate Givebutter tasks via Rube MCP (Composio). Always search tools first for current schemas.
gladia-automation
Automate Gladia tasks via Rube MCP (Composio). Always search tools first for current schemas.
gleap-automation
Automate Gleap tasks via Rube MCP (Composio). Always search tools first for current schemas.
globalping-automation
Automate Globalping tasks via Rube MCP (Composio). Always search tools first for current schemas.
go-to-webinar-automation
Automate GoToWebinar tasks via Rube MCP (Composio). Always search tools first for current schemas.
godial-automation
Automate Godial tasks via Rube MCP (Composio). Always search tools first for current schemas.
gong-automation
Automate Gong conversation intelligence -- retrieve call recordings, transcripts, detailed analytics, speaker stats, and workspace data -- using natural language through the Composio MCP integration.
goodbits-automation
Automate Goodbits tasks via Rube MCP (Composio). Always search tools first for current schemas.
goody-automation
Automate Goody tasks via Rube MCP (Composio). Always search tools first for current schemas.
google-address-validation-automation
Automate Google Address Validation tasks via Rube MCP (Composio). Always search tools first for current schemas.
google-admin-automation
Automate Google Workspace Admin tasks via Rube MCP (Composio): manage users, groups, memberships, suspend accounts, create users, add aliases. Always search tools first for current schemas.
google-classroom-automation
Automate Google Classroom tasks via Rube MCP (Composio). Always search tools first for current schemas.
google-cloud-vision-automation
Automate Google Cloud Vision tasks via Rube MCP (Composio). Always search tools first for current schemas.
google-maps-automation
Automate Google Maps tasks via Rube MCP (Composio): geocode addresses, search places, get directions, compute route matrices, reverse geocode, autocomplete, get place details. Always search tools first for current schemas.
google-search-console-automation
Automate Google Search Console tasks via Rube MCP (Composio): query search analytics, list sites, inspect URLs, submit sitemaps, monitor search performance. Always search tools first for current schemas.
google_admin-automation
Automate Google Admin tasks via Rube MCP (Composio): user management, org units, groups, and domain administration. Always search tools first for current schemas.
google_classroom-automation
Automate Google Classroom tasks via Rube MCP (Composio): course management, assignments, student rosters, and announcements. Always search tools first for current schemas.
google_maps-automation
Automate Google Maps tasks via Rube MCP (Composio): geocoding, directions, place search, and distance calculations. Always search tools first for current schemas.
google_search_console-automation
Automate Google Search Console tasks via Rube MCP (Composio): search performance, URL inspection, sitemaps, and indexing status. Always search tools first for current schemas.
googleads-automation
Automate Google Ads analytics tasks via Rube MCP (Composio): list Google Ads links, run GA4 reports, check compatibility, list properties and accounts. Always search tools first for current schemas.
googlebigquery-automation
Automate Google BigQuery tasks via Rube MCP (Composio): run SQL queries, explore datasets and metadata, execute MBQL queries via Metabase integration. Always search tools first for current schemas.
googlecalendar-automation
Automate Google Calendar tasks via Rube MCP (Composio). Always search tools first for current schemas.
googledocs-automation
Automate Google Docs tasks via Rube MCP (Composio): create, edit, search, export, copy, and update documents. Always search tools first for current schemas.
googledrive-automation
Automate Google Drive tasks via Rube MCP (Composio). Always search tools first for current schemas.
googlemeet-automation
Automate Google Meet tasks via Rube MCP (Composio): create Meet spaces, schedule video conferences via Calendar events, manage meeting access. Always search tools first for current schemas.
googlephotos-automation
Automate Google Photos tasks via Rube MCP (Composio): upload media, manage albums, search photos, batch add items, create and update albums. Always search tools first for current schemas.
googleslides-automation
Automate Google Slides tasks via Rube MCP (Composio): create presentations, add slides from Markdown, batch update, copy from templates, get thumbnails. Always search tools first for current schemas.
googlesuper-automation
Automate Google Super tasks via Rube MCP (Composio). Always search tools first for current schemas.
googletasks-automation
Automate Google Tasks via Rube MCP (Composio): create, list, update, delete, move, and bulk-insert tasks and task lists. Always search tools first for current schemas.
gorgias-automation
Automate e-commerce customer support workflows in Gorgias -- manage tickets, customers, tags, and teams through natural language commands.
gosquared-automation
Automate Gosquared tasks via Rube MCP (Composio). Always search tools first for current schemas.
grafbase-automation
Automate Grafbase tasks via Rube MCP (Composio). Always search tools first for current schemas.
graphhopper-automation
Automate Graphhopper tasks via Rube MCP (Composio). Always search tools first for current schemas.
griptape-automation
Automate Griptape tasks via Rube MCP (Composio). Always search tools first for current schemas.
grist-automation
Automate Grist tasks via Rube MCP (Composio). Always search tools first for current schemas.
groqcloud-automation
Automate AI inference, chat completions, audio translation, and TTS voice management through GroqCloud's high-performance API via Composio
gumroad-automation
Automate Gumroad product management, sales tracking, license verification, and webhook subscriptions using natural language through the Composio MCP integration.
habitica-automation
Automate Habitica tasks via Rube MCP (Composio). Always search tools first for current schemas.
hackernews-automation
Automate Hackernews tasks via Rube MCP (Composio). Always search tools first for current schemas.
happy-scribe-automation
Automate Happy Scribe tasks via Rube MCP (Composio). Always search tools first for current schemas.
harvest-automation
Automate time tracking, project management, and invoicing workflows in Harvest -- log hours, manage projects, clients, and tasks through natural language commands.
hashnode-automation
Automate Hashnode tasks via Rube MCP (Composio). Always search tools first for current schemas.
helcim-automation
Automate Helcim tasks via Rube MCP (Composio). Always search tools first for current schemas.
helloleads-automation
Automate Helloleads tasks via Rube MCP (Composio). Always search tools first for current schemas.
helpwise-automation
Automate Helpwise tasks via Rube MCP (Composio). Always search tools first for current schemas.
here-automation
Automate Here tasks via Rube MCP (Composio). Always search tools first for current schemas.
heygen-automation
Automate AI video generation, avatar browsing, template-based video creation, and video status tracking through HeyGen's platform via Composio
heyreach-automation
Automate Heyreach tasks via Rube MCP (Composio). Always search tools first for current schemas.
heyzine-automation
Automate Heyzine tasks via Rube MCP (Composio). Always search tools first for current schemas.
highergov-automation
Automate Highergov tasks via Rube MCP (Composio). Always search tools first for current schemas.
highlevel-automation
Automate Highlevel tasks via Rube MCP (Composio). Always search tools first for current schemas.
honeybadger-automation
Automate Honeybadger tasks via Rube MCP (Composio). Always search tools first for current schemas.
honeyhive-automation
Automate Honeyhive tasks via Rube MCP (Composio). Always search tools first for current schemas.
hookdeck-automation
Automate Hookdeck tasks via Rube MCP (Composio). Always search tools first for current schemas.
hotspotsystem-automation
Automate Hotspotsystem tasks via Rube MCP (Composio). Always search tools first for current schemas.
html-to-image-automation
Automate Html To Image tasks via Rube MCP (Composio). Always search tools first for current schemas.
humanitix-automation
Automate Humanitix tasks via Rube MCP (Composio). Always search tools first for current schemas.
humanloop-automation
Automate Humanloop tasks via Rube MCP (Composio). Always search tools first for current schemas.
hunter-automation
Automate Hunter.io email intelligence -- search domains for email addresses, find specific contacts, verify email deliverability, manage leads, and monitor account usage -- using natural language through the Composio MCP integration.
hypeauditor-automation
Automate Hypeauditor tasks via Rube MCP (Composio). Always search tools first for current schemas.
hyperbrowser-automation
Automate Hyperbrowser tasks via Rube MCP (Composio). Always search tools first for current schemas.
hyperise-automation
Automate Hyperise tasks via Rube MCP (Composio). Always search tools first for current schemas.
hystruct-automation
Automate Hystruct tasks via Rube MCP (Composio). Always search tools first for current schemas.
icims-talent-cloud-automation
Automate Icims Talent Cloud tasks via Rube MCP (Composio). Always search tools first for current schemas.
icypeas-automation
Automate Icypeas tasks via Rube MCP (Composio). Always search tools first for current schemas.
idea-scale-automation
Automate Idea Scale tasks via Rube MCP (Composio). Always search tools first for current schemas.
identitycheck-automation
Automate Identitycheck tasks via Rube MCP (Composio). Always search tools first for current schemas.
ignisign-automation
Automate Ignisign tasks via Rube MCP (Composio). Always search tools first for current schemas.
imagekit-io-automation
Automate Imagekit IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
imgbb-automation
Automate Imgbb tasks via Rube MCP (Composio). Always search tools first for current schemas.
imgix-automation
Automate Imgix tasks via Rube MCP (Composio). Always search tools first for current schemas.
influxdb-cloud-automation
Automate Influxdb Cloud tasks via Rube MCP (Composio). Always search tools first for current schemas.
insighto-ai-automation
Automate Insighto AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
instacart-automation
Automate Instacart tasks via Rube MCP (Composio). Always search tools first for current schemas.
instantly-automation
Automate Instantly cold email outreach -- manage campaigns, sending accounts, lead lists, bulk lead imports, and campaign analytics -- using natural language through the Composio MCP integration.
intelliprint-automation
Automate Intelliprint tasks via Rube MCP (Composio). Always search tools first for current schemas.
interzoid-automation
Automate Interzoid tasks via Rube MCP (Composio). Always search tools first for current schemas.
ip2location-automation
Automate Ip2location tasks via Rube MCP (Composio). Always search tools first for current schemas.
ip2location-io-automation
Automate Ip2location IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
ip2proxy-automation
Automate Ip2proxy tasks via Rube MCP (Composio). Always search tools first for current schemas.
ip2whois-automation
Automate Ip2whois tasks via Rube MCP (Composio). Always search tools first for current schemas.
ipdata-co-automation
Automate Ipdata co tasks via Rube MCP (Composio). Always search tools first for current schemas.
ipinfo-io-automation
Automate Ipinfo IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
iqair-airvisual-automation
Automate Iqair Airvisual tasks via Rube MCP (Composio). Always search tools first for current schemas.
jigsawstack-automation
Automate Jigsawstack tasks via Rube MCP (Composio). Always search tools first for current schemas.
jobnimbus-automation
Automate Jobnimbus tasks via Rube MCP (Composio). Always search tools first for current schemas.
jotform-automation
Automate Jotform form listing, user management, activity history, folder organization, and plan inspection through natural language commands
jumpcloud-automation
Automate Jumpcloud tasks via Rube MCP (Composio). Always search tools first for current schemas.
junglescout-automation
Automate Junglescout tasks via Rube MCP (Composio). Always search tools first for current schemas.
kadoa-automation
Automate Kadoa tasks via Rube MCP (Composio). Always search tools first for current schemas.
kaggle-automation
Automate Kaggle tasks via Rube MCP (Composio). Always search tools first for current schemas.
kaleido-automation
Automate Kaleido tasks via Rube MCP (Composio). Always search tools first for current schemas.
keap-automation
Automate Keap tasks via Rube MCP (Composio). Always search tools first for current schemas.
keen-io-automation
Automate Keen IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
kickbox-automation
Automate Kickbox tasks via Rube MCP (Composio). Always search tools first for current schemas.
kit-automation
Automate Kit tasks via Rube MCP (Composio). Always search tools first for current schemas.
klipfolio-automation
Automate Klipfolio tasks via Rube MCP (Composio). Always search tools first for current schemas.
ko-fi-automation
Automate Ko Fi tasks via Rube MCP (Composio). Always search tools first for current schemas.
kommo-automation
Automate Kommo CRM operations -- manage leads, pipelines, pipeline stages, tasks, and custom fields -- using natural language through the Composio MCP integration.
kontent-ai-automation
Automate Kontent AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
kraken-io-automation
Automate Kraken IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
l2s-automation
Automate L2s tasks via Rube MCP (Composio). Always search tools first for current schemas.
labs64-netlicensing-automation
Automate Labs64 Netlicensing tasks via Rube MCP (Composio). Always search tools first for current schemas.
landbot-automation
Automate Landbot tasks via Rube MCP (Composio). Always search tools first for current schemas.
langbase-automation
Automate Langbase tasks via Rube MCP (Composio). Always search tools first for current schemas.
lastpass-automation
Automate Lastpass tasks via Rube MCP (Composio). Always search tools first for current schemas.
launch_darkly-automation
Automate LaunchDarkly tasks via Rube MCP (Composio): feature flags, environments, segments, and rollout management. Always search tools first for current schemas.
launchdarkly-automation
Automate LaunchDarkly feature flag management -- list projects and environments, create and delete trigger workflows, and track code references via the Composio MCP integration.
leadfeeder-automation
Automate Leadfeeder tasks via Rube MCP (Composio). Always search tools first for current schemas.
leadoku-automation
Automate Leadoku tasks via Rube MCP (Composio). Always search tools first for current schemas.
leiga-automation
Automate Leiga tasks via Rube MCP (Composio). Always search tools first for current schemas.
lemlist-automation
Automate Lemlist multichannel outreach -- manage campaigns, enroll leads, add personalization variables, export campaign data, and handle unsubscribes via the Composio MCP integration.
lemon-squeezy-automation
Automate Lemon Squeezy store management -- products, orders, subscriptions, customers, discounts, and checkout tracking -- using natural language through the Composio MCP integration.
lemon_squeezy-automation
Automate Lemon Squeezy tasks via Rube MCP (Composio): products, orders, subscriptions, checkouts, and digital sales. Always search tools first for current schemas.
lessonspace-automation
Automate Lessonspace tasks via Rube MCP (Composio). Always search tools first for current schemas.
lever-automation
Automate recruiting workflows in Lever ATS -- manage opportunities, job postings, requisitions, pipeline stages, and candidate tags through the Composio Lever integration.
lever-sandbox-automation
Automate Lever Sandbox tasks via Rube MCP (Composio). Always search tools first for current schemas.
leverly-automation
Automate Leverly tasks via Rube MCP (Composio). Always search tools first for current schemas.
lexoffice-automation
Automate Lexoffice tasks via Rube MCP (Composio). Always search tools first for current schemas.
linguapop-automation
Automate Linguapop tasks via Rube MCP (Composio). Always search tools first for current schemas.
linkhut-automation
Automate Linkhut tasks via Rube MCP (Composio). Always search tools first for current schemas.
linkup-automation
Automate Linkup tasks via Rube MCP (Composio). Always search tools first for current schemas.
listclean-automation
Automate Listclean tasks via Rube MCP (Composio). Always search tools first for current schemas.
listennotes-automation
Automate Listennotes tasks via Rube MCP (Composio). Always search tools first for current schemas.
livesession-automation
Automate Livesession tasks via Rube MCP (Composio). Always search tools first for current schemas.
lmnt-automation
Automate Lmnt tasks via Rube MCP (Composio). Always search tools first for current schemas.
lodgify-automation
Automate Lodgify tasks via Rube MCP (Composio). Always search tools first for current schemas.
logo-dev-automation
Automate Logo Dev tasks via Rube MCP (Composio). Always search tools first for current schemas.
loomio-automation
Automate Loomio tasks via Rube MCP (Composio). Always search tools first for current schemas.
loyverse-automation
Automate Loyverse tasks via Rube MCP (Composio). Always search tools first for current schemas.
magnetic-automation
Automate Magnetic tasks via Rube MCP (Composio). Always search tools first for current schemas.
mailbluster-automation
Automate Mailbluster tasks via Rube MCP (Composio). Always search tools first for current schemas.
mailboxlayer-automation
Automate Mailboxlayer tasks via Rube MCP (Composio). Always search tools first for current schemas.
mailcheck-automation
Automate Mailcheck tasks via Rube MCP (Composio). Always search tools first for current schemas.
mailcoach-automation
Automate Mailcoach tasks via Rube MCP (Composio). Always search tools first for current schemas.
mailerlite-automation
Automate email marketing workflows including subscriber management, campaign analytics, group segmentation, and account monitoring through MailerLite via Composio
mailersend-automation
Automate Mailersend tasks via Rube MCP (Composio). Always search tools first for current schemas.
mails-so-automation
Automate Mails So tasks via Rube MCP (Composio). Always search tools first for current schemas.
mailsoftly-automation
Automate Mailsoftly tasks via Rube MCP (Composio). Always search tools first for current schemas.
maintainx-automation
Automate Maintainx tasks via Rube MCP (Composio). Always search tools first for current schemas.
many-chat-automation
Automate ManyChat tasks via Rube MCP (Composio). Always search tools first for current schemas.
many_chat-automation
Automate ManyChat tasks via Rube MCP (Composio): chatbot flows, subscribers, broadcasts, and messenger automation. Always search tools first for current schemas.
mapbox-automation
Automate Mapbox tasks via Rube MCP (Composio). Always search tools first for current schemas.
mapulus-automation
Automate Mapulus tasks via Rube MCP (Composio). Always search tools first for current schemas.
mboum-automation
Automate Mboum tasks via Rube MCP (Composio). Always search tools first for current schemas.
melo-automation
Automate Melo tasks via Rube MCP (Composio). Always search tools first for current schemas.
mem-automation
Automate Mem tasks via Rube MCP (Composio). Always search tools first for current schemas.
mem0-automation
Automate Mem0 tasks via Rube MCP (Composio). Always search tools first for current schemas.
memberspot-automation
Automate Memberspot tasks via Rube MCP (Composio). Always search tools first for current schemas.
memberstack-automation
Automate Memberstack tasks via Rube MCP (Composio). Always search tools first for current schemas.
membervault-automation
Automate Membervault tasks via Rube MCP (Composio). Always search tools first for current schemas.
metaads-automation
Automate Metaads tasks via Rube MCP (Composio). Always search tools first for current schemas.
metaphor-automation
Automate Metaphor tasks via Rube MCP (Composio). Always search tools first for current schemas.
mezmo-automation
Automate Mezmo tasks via Rube MCP (Composio). Always search tools first for current schemas.
microsoft-clarity-automation
Automate user behavior analytics with Microsoft Clarity -- export heatmap data, session metrics, and engagement analytics segmented by browser, device, country, source, and more through the Composio Microsoft Clarity integration.
microsoft-tenant-automation
Automate Microsoft Tenant tasks via Rube MCP (Composio). Always search tools first for current schemas.
microsoft_clarity-automation
Automate Microsoft Clarity tasks via Rube MCP (Composio): session recordings, heatmaps, and user behavior analytics. Always search tools first for current schemas.
minerstat-automation
Automate Minerstat tasks via Rube MCP (Composio). Always search tools first for current schemas.
missive-automation
Automate Missive tasks via Rube MCP (Composio). Always search tools first for current schemas.
mistral-ai-automation
Automate Mistral AI operations -- manage files and libraries, upload documents for fine-tuning, batch processing, and OCR, track fine-tuning jobs, and build RAG pipelines via the Composio MCP integration.
mistral_ai-automation
Automate Mistral AI tasks via Rube MCP (Composio): completions, embeddings, fine-tuning, and model management. Always search tools first for current schemas.
mocean-automation
Automate Mocean tasks via Rube MCP (Composio). Always search tools first for current schemas.
moco-automation
Automate Moco tasks via Rube MCP (Composio). Always search tools first for current schemas.
modelry-automation
Automate Modelry tasks via Rube MCP (Composio). Always search tools first for current schemas.
moneybird-automation
Automate Moneybird tasks via Rube MCP (Composio). Always search tools first for current schemas.
moonclerk-automation
Automate Moonclerk tasks via Rube MCP (Composio). Always search tools first for current schemas.
moosend-automation
Automate Moosend tasks via Rube MCP (Composio). Always search tools first for current schemas.
mopinion-automation
Automate Mopinion tasks via Rube MCP (Composio). Always search tools first for current schemas.
more-trees-automation
Automate More Trees tasks via Rube MCP (Composio). Always search tools first for current schemas.
moxie-automation
Automate Moxie tasks via Rube MCP (Composio). Always search tools first for current schemas.
moz-automation
Automate Moz tasks via Rube MCP (Composio). Always search tools first for current schemas.
msg91-automation
Automate Msg91 tasks via Rube MCP (Composio). Always search tools first for current schemas.
mural-automation
Automate Mural tasks via Rube MCP (Composio). Always search tools first for current schemas.
mx-technologies-automation
Automate MX Technologies tasks via Rube MCP (Composio). Always search tools first for current schemas.
mx-toolbox-automation
Automate Mx Toolbox tasks via Rube MCP (Composio). Always search tools first for current schemas.
nango-automation
Automate Nango tasks via Rube MCP (Composio). Always search tools first for current schemas.
nano-nets-automation
Automate Nano Nets tasks via Rube MCP (Composio). Always search tools first for current schemas.
nasa-automation
Automate Nasa tasks via Rube MCP (Composio). Always search tools first for current schemas.
nasdaq-automation
Automate Nasdaq tasks via Rube MCP (Composio). Always search tools first for current schemas.
ncscale-automation
Automate Ncscale tasks via Rube MCP (Composio). Always search tools first for current schemas.
needle-automation
Automate Needle tasks via Rube MCP (Composio). Always search tools first for current schemas.
neon-automation
Automate Neon serverless Postgres operations -- manage projects, branches, databases, roles, and connection URIs via the Composio MCP integration.
netsuite-automation
NetSuite Automation: manage customers, sales orders, invoices, inventory, and records via Oracle NetSuite ERP with SuiteQL queries
neuronwriter-automation
Automate Neuronwriter tasks via Rube MCP (Composio). Always search tools first for current schemas.
neutrino-automation
Automate Neutrino tasks via Rube MCP (Composio). Always search tools first for current schemas.
neverbounce-automation
Automate Neverbounce tasks via Rube MCP (Composio). Always search tools first for current schemas.
new-relic-automation
Automate New Relic observability workflows -- manage alert policies, notification channels, alert conditions, and monitor applications and browser apps via the Composio MCP integration.
new_relic-automation
Automate New Relic tasks via Rube MCP (Composio): APM, alerts, dashboards, NRQL queries, and infrastructure monitoring. Always search tools first for current schemas.
news-api-automation
Automate News API tasks via Rube MCP (Composio). Always search tools first for current schemas.
nextdns-automation
Automate Nextdns tasks via Rube MCP (Composio). Always search tools first for current schemas.
ngrok-automation
Automate Ngrok tasks via Rube MCP (Composio). Always search tools first for current schemas.
ninox-automation
Automate Ninox tasks via Rube MCP (Composio). Always search tools first for current schemas.
nocrm-io-automation
Automate Nocrm IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
npm-automation
Automate NPM tasks via Rube MCP (Composio). Always search tools first for current schemas.
ocr-web-service-automation
Automate OCR Web Service tasks via Rube MCP (Composio). Always search tools first for current schemas.
ocrspace-automation
Automate Ocrspace tasks via Rube MCP (Composio). Always search tools first for current schemas.
omnisend-automation
Automate ecommerce marketing workflows including contact management, bulk operations, and subscriber segmentation through Omnisend via Composio
oncehub-automation
Automate Oncehub tasks via Rube MCP (Composio). Always search tools first for current schemas.
onedesk-automation
Automate Onedesk tasks via Rube MCP (Composio). Always search tools first for current schemas.
onepage-automation
Automate Onepage tasks via Rube MCP (Composio). Always search tools first for current schemas.
onesignal-rest-api-automation
Automate OneSignal tasks via Rube MCP (Composio). Always search tools first for current schemas.
onesignal-user-auth-automation
Automate Onesignal User Auth tasks via Rube MCP (Composio). Always search tools first for current schemas.
onesignal_rest_api-automation
Automate OneSignal tasks via Rube MCP (Composio): push notifications, segments, templates, and messaging. Always search tools first for current schemas.
open-sea-automation
Automate Open Sea tasks via Rube MCP (Composio). Always search tools first for current schemas.
openai-automation
Automate OpenAI API operations -- generate responses with multimodal and structured output support, create embeddings, generate images, and list models via the Composio MCP integration.
opencage-automation
Automate Opencage tasks via Rube MCP (Composio). Always search tools first for current schemas.
opengraph-io-automation
Automate Opengraph IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
openperplex-automation
Automate Openperplex tasks via Rube MCP (Composio). Always search tools first for current schemas.
openrouter-automation
Automate Openrouter tasks via Rube MCP (Composio). Always search tools first for current schemas.
openweather-api-automation
Automate Openweather API tasks via Rube MCP (Composio). Always search tools first for current schemas.
optimoroute-automation
Automate Optimoroute tasks via Rube MCP (Composio). Always search tools first for current schemas.
owl-protocol-automation
Automate Owl Protocol tasks via Rube MCP (Composio). Always search tools first for current schemas.
page-x-automation
Automate Page X tasks via Rube MCP (Composio). Always search tools first for current schemas.
pandadoc-automation
Automate document workflows with PandaDoc -- create documents from files, manage contacts, organize folders, set up webhooks, create templates, and track document status through the Composio PandaDoc integration.
paradym-automation
Automate Paradym tasks via Rube MCP (Composio). Always search tools first for current schemas.
parallel-automation
Automate Parallel tasks via Rube MCP (Composio). Always search tools first for current schemas.
parma-automation
Automate Parma tasks via Rube MCP (Composio). Always search tools first for current schemas.
parsehub-automation
Automate Parsehub tasks via Rube MCP (Composio). Always search tools first for current schemas.
parsera-automation
Automate Parsera tasks via Rube MCP (Composio). Always search tools first for current schemas.
parseur-automation
Automate Parseur tasks via Rube MCP (Composio). Always search tools first for current schemas.
passcreator-automation
Automate Passcreator tasks via Rube MCP (Composio). Always search tools first for current schemas.
passslot-automation
Automate Passslot tasks via Rube MCP (Composio). Always search tools first for current schemas.
payhip-automation
Automate Payhip tasks via Rube MCP (Composio). Always search tools first for current schemas.
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
pdf-api-io-automation
Automate PDF API IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
pdf-co-automation
Automate PDF co tasks via Rube MCP (Composio). Always search tools first for current schemas.
pdf4me-automation
Automate Pdf4me tasks via Rube MCP (Composio). Always search tools first for current schemas.
pdfless-automation
Automate Pdfless tasks via Rube MCP (Composio). Always search tools first for current schemas.
pdfmonkey-automation
Automate Pdfmonkey tasks via Rube MCP (Composio). Always search tools first for current schemas.
peopledatalabs-automation
Automate Peopledatalabs tasks via Rube MCP (Composio). Always search tools first for current schemas.
perigon-automation
Automate Perigon tasks via Rube MCP (Composio). Always search tools first for current schemas.
perplexityai-automation
Automate Perplexityai tasks via Rube MCP (Composio). Always search tools first for current schemas.
persistiq-automation
Automate Persistiq tasks via Rube MCP (Composio). Always search tools first for current schemas.
pexels-automation
Automate Pexels tasks via Rube MCP (Composio). Always search tools first for current schemas.
phantombuster-automation
Automate lead generation, web scraping, and social media data extraction workflows through PhantomBuster's cloud platform via Composio
piggy-automation
Automate Piggy tasks via Rube MCP (Composio). Always search tools first for current schemas.
piloterr-automation
Automate Piloterr tasks via Rube MCP (Composio). Always search tools first for current schemas.
pilvio-automation
Automate Pilvio tasks via Rube MCP (Composio). Always search tools first for current schemas.
pingdom-automation
Automate Pingdom tasks via Rube MCP (Composio). Always search tools first for current schemas.
pipeline-crm-automation
Automate Pipeline CRM tasks via Rube MCP (Composio). Always search tools first for current schemas.
placekey-automation
Automate Placekey tasks via Rube MCP (Composio). Always search tools first for current schemas.
placid-automation
Automate Placid tasks via Rube MCP (Composio). Always search tools first for current schemas.
plain-automation
Automate Plain tasks via Rube MCP (Composio). Always search tools first for current schemas.
plasmic-automation
Automate Plasmic tasks via Rube MCP (Composio). Always search tools first for current schemas.
platerecognizer-automation
Automate Platerecognizer tasks via Rube MCP (Composio). Always search tools first for current schemas.
plisio-automation
Automate Plisio tasks via Rube MCP (Composio). Always search tools first for current schemas.
polygon-automation
Automate Polygon tasks via Rube MCP (Composio). Always search tools first for current schemas.
polygon-io-automation
Automate Polygon IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
poptin-automation
Automate Poptin tasks via Rube MCP (Composio). Always search tools first for current schemas.
postgrid-automation
Automate Postgrid tasks via Rube MCP (Composio). Always search tools first for current schemas.
postgrid-verify-automation
Automate Postgrid Verify tasks via Rube MCP (Composio). Always search tools first for current schemas.
pptx
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
precoro-automation
Automate Precoro tasks via Rube MCP (Composio). Always search tools first for current schemas.
prerender-automation
Automate Prerender tasks via Rube MCP (Composio). Always search tools first for current schemas.
printautopilot-automation
Automate Printautopilot tasks via Rube MCP (Composio). Always search tools first for current schemas.
prisma-automation
Automate Prisma tasks via Rube MCP (Composio). Always search tools first for current schemas.
prismic-automation
Automate headless CMS operations in Prismic -- query documents, search content, retrieve custom types, and manage repository refs through the Composio Prismic integration.
process-street-automation
Automate Process Street tasks via Rube MCP (Composio). Always search tools first for current schemas.
procfu-automation
Automate Procfu tasks via Rube MCP (Composio). Always search tools first for current schemas.
productboard-automation
Automate product management workflows in Productboard -- manage features, notes, objectives, components, and releases through natural language commands.
productlane-automation
Automate Productlane tasks via Rube MCP (Composio). Always search tools first for current schemas.
project-bubble-automation
Automate Project Bubble tasks via Rube MCP (Composio). Always search tools first for current schemas.
proofly-automation
Automate Proofly tasks via Rube MCP (Composio). Always search tools first for current schemas.
proxiedmail-automation
Automate Proxiedmail tasks via Rube MCP (Composio). Always search tools first for current schemas.
pushbullet-automation
Automate Pushbullet tasks via Rube MCP (Composio). Always search tools first for current schemas.
pushover-automation
Automate Pushover tasks via Rube MCP (Composio). Always search tools first for current schemas.
quaderno-automation
Automate Quaderno tasks via Rube MCP (Composio). Always search tools first for current schemas.
qualaroo-automation
Automate Qualaroo tasks via Rube MCP (Composio). Always search tools first for current schemas.
quickbooks-automation
QuickBooks Automation: manage invoices, customers, accounts, and payments in QuickBooks Online for streamlined bookkeeping
radar-automation
Automate Radar tasks via Rube MCP (Composio). Always search tools first for current schemas.
rafflys-automation
Automate Rafflys tasks via Rube MCP (Composio). Always search tools first for current schemas.
ragic-automation
Automate Ragic tasks via Rube MCP (Composio). Always search tools first for current schemas.
raisely-automation
Automate Raisely tasks via Rube MCP (Composio). Always search tools first for current schemas.
ramp-automation
Ramp Automation: manage corporate card transactions, reimbursements, users, and expense tracking via the Ramp platform
ravenseotools-automation
Automate Ravenseotools tasks via Rube MCP (Composio). Always search tools first for current schemas.
re-amaze-automation
Automate Re Amaze tasks via Rube MCP (Composio). Always search tools first for current schemas.
realphonevalidation-automation
Automate Realphonevalidation tasks via Rube MCP (Composio). Always search tools first for current schemas.
recallai-automation
Automate Recallai tasks via Rube MCP (Composio). Always search tools first for current schemas.
recruitee-automation
Automate Recruitee tasks via Rube MCP (Composio). Always search tools first for current schemas.
refiner-automation
Automate Refiner tasks via Rube MCP (Composio). Always search tools first for current schemas.
remarkety-automation
Automate Remarkety tasks via Rube MCP (Composio). Always search tools first for current schemas.
remote-retrieval-automation
Automate Remote Retrieval tasks via Rube MCP (Composio). Always search tools first for current schemas.
remove-bg-automation
Automate Remove Bg tasks via Rube MCP (Composio). Always search tools first for current schemas.
renderform-automation
Automate Renderform tasks via Rube MCP (Composio). Always search tools first for current schemas.
repairshopr-automation
Automate Repairshopr tasks via Rube MCP (Composio). Always search tools first for current schemas.
replicate-automation
Automate Replicate AI model operations -- run predictions, upload files, inspect model schemas, list versions, and manage prediction history via the Composio MCP integration.
reply-automation
Automate Reply tasks via Rube MCP (Composio). Always search tools first for current schemas.
reply-io-automation
Automate Reply IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
resend-automation
Automate Resend tasks via Rube MCP (Composio). Always search tools first for current schemas.
respond-io-automation
Automate Respond IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
retailed-automation
Automate Retailed tasks via Rube MCP (Composio). Always search tools first for current schemas.
retellai-automation
Automate Retellai tasks via Rube MCP (Composio). Always search tools first for current schemas.
retently-automation
Automate Retently tasks via Rube MCP (Composio). Always search tools first for current schemas.
rev-ai-automation
Automate Rev AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
revolt-automation
Automate Revolt tasks via Rube MCP (Composio). Always search tools first for current schemas.
ring_central-automation
Automate RingCentral tasks via Rube MCP (Composio): calls, messages, meetings, and unified communications. Always search tools first for current schemas.
ringcentral-automation
RingCentral automation via Rube MCP -- toolkit not currently available in Composio; no RING_CENTRAL_ tools found
rippling-automation
Automate Rippling tasks via Rube MCP (Composio). Always search tools first for current schemas.
ritekit-automation
Automate Ritekit tasks via Rube MCP (Composio). Always search tools first for current schemas.
rkvst-automation
Automate Rkvst tasks via Rube MCP (Composio). Always search tools first for current schemas.
rocketlane-automation
Automate Rocketlane tasks via Rube MCP (Composio). Always search tools first for current schemas.
rootly-automation
Automate Rootly tasks via Rube MCP (Composio). Always search tools first for current schemas.
rosette-text-analytics-automation
Automate Rosette Text Analytics tasks via Rube MCP (Composio). Always search tools first for current schemas.
route4me-automation
Automate Route4me tasks via Rube MCP (Composio). Always search tools first for current schemas.
safetyculture-automation
Automate Safetyculture tasks via Rube MCP (Composio). Always search tools first for current schemas.
sage-automation
Automate Sage tasks via Rube MCP (Composio). Always search tools first for current schemas.
salesforce-marketing-cloud-automation
Automate Salesforce Marketing Cloud tasks via Rube MCP (Composio). Always search tools first for current schemas.
salesforce-service-cloud-automation
Automate Salesforce Service Cloud tasks via Rube MCP (Composio). Always search tools first for current schemas.
salesmate-automation
Automate Salesmate tasks via Rube MCP (Composio). Always search tools first for current schemas.
sap-successfactors-automation
Automate SAP SuccessFactors tasks via Rube MCP (Composio). Always search tools first for current schemas.
satismeter-automation
Automate Satismeter tasks via Rube MCP (Composio). Always search tools first for current schemas.
scrape-do-automation
Automate Scrape Do tasks via Rube MCP (Composio). Always search tools first for current schemas.
scrapegraph-ai-automation
Automate Scrapegraph AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
scrapfly-automation
Automate Scrapfly tasks via Rube MCP (Composio). Always search tools first for current schemas.
scrapingant-automation
Automate Scrapingant tasks via Rube MCP (Composio). Always search tools first for current schemas.
scrapingbee-automation
Automate Scrapingbee tasks via Rube MCP (Composio). Always search tools first for current schemas.
screenshot-fyi-automation
Automate Screenshot Fyi tasks via Rube MCP (Composio). Always search tools first for current schemas.
screenshotone-automation
Automate Screenshotone tasks via Rube MCP (Composio). Always search tools first for current schemas.
seat-geek-automation
Automate Seat Geek tasks via Rube MCP (Composio). Always search tools first for current schemas.
securitytrails-automation
Automate Securitytrails tasks via Rube MCP (Composio). Always search tools first for current schemas.
segmetrics-automation
Automate Segmetrics tasks via Rube MCP (Composio). Always search tools first for current schemas.
seismic-automation
Automate Seismic tasks via Rube MCP (Composio). Always search tools first for current schemas.
semanticscholar-automation
Automate Semanticscholar tasks via Rube MCP (Composio). Always search tools first for current schemas.
semrush-automation
Automate SEO analysis with SEMrush -- research keywords, analyze domain organic rankings, audit backlinks, assess keyword difficulty, and discover related terms through the Composio SEMrush integration.
sendbird-ai-chabot-automation
Automate Sendbird AI Chabot tasks via Rube MCP (Composio). Always search tools first for current schemas.
sendbird-automation
Automate Sendbird tasks via Rube MCP (Composio). Always search tools first for current schemas.
sendfox-automation
Automate Sendfox tasks via Rube MCP (Composio). Always search tools first for current schemas.
sendlane-automation
Automate Sendlane tasks via Rube MCP (Composio). Always search tools first for current schemas.
sendloop-automation
Automate Sendloop tasks via Rube MCP (Composio). Always search tools first for current schemas.
sendspark-automation
Automate Sendspark tasks via Rube MCP (Composio). Always search tools first for current schemas.
sensibo-automation
Automate Sensibo tasks via Rube MCP (Composio). Always search tools first for current schemas.
seqera-automation
Automate Seqera tasks via Rube MCP (Composio). Always search tools first for current schemas.
serpapi-automation
Automate Serpapi tasks via Rube MCP (Composio). Always search tools first for current schemas.
serpdog-automation
Automate Serpdog tasks via Rube MCP (Composio). Always search tools first for current schemas.
serply-automation
Automate Serply tasks via Rube MCP (Composio). Always search tools first for current schemas.
servicem8-automation
Automate Servicem8 tasks via Rube MCP (Composio). Always search tools first for current schemas.
sevdesk-automation
Automate Sevdesk tasks via Rube MCP (Composio). Always search tools first for current schemas.
share_point-automation
Automate SharePoint tasks via Rube MCP (Composio): document libraries, sites, lists, and content management. Always search tools first for current schemas.
sharepoint-automation
SharePoint Automation: manage sites, lists, documents, folders, pages, and search content across SharePoint and OneDrive
shipengine-automation
Automate Shipengine tasks via Rube MCP (Composio). Always search tools first for current schemas.
short-io-automation
Automate Short IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
short-menu-automation
Automate Short Menu tasks via Rube MCP (Composio). Always search tools first for current schemas.
shortcut-automation
Automate project management workflows in Shortcut -- create stories, manage tasks, track epics, and organize workflows through natural language commands.
shorten-rest-automation
Automate Shorten Rest tasks via Rube MCP (Composio). Always search tools first for current schemas.
shortpixel-automation
Automate Shortpixel tasks via Rube MCP (Composio). Always search tools first for current schemas.
shotstack-automation
Automate Shotstack tasks via Rube MCP (Composio). Always search tools first for current schemas.
sidetracker-automation
Automate Sidetracker tasks via Rube MCP (Composio). Always search tools first for current schemas.
signaturely-automation
Automate Signaturely tasks via Rube MCP (Composio). Always search tools first for current schemas.
signpath-automation
Automate Signpath tasks via Rube MCP (Composio). Always search tools first for current schemas.
signwell-automation
Automate Signwell tasks via Rube MCP (Composio). Always search tools first for current schemas.
similarweb-digitalrank-api-automation
Automate SimilarWeb tasks via Rube MCP (Composio). Always search tools first for current schemas.
similarweb_digitalrank_api-automation
Automate SimilarWeb tasks via Rube MCP (Composio): website traffic, rankings, and digital market intelligence. Always search tools first for current schemas.
simla-com-automation
Automate Simla Com tasks via Rube MCP (Composio). Always search tools first for current schemas.
simple-analytics-automation
Automate Simple Analytics tasks via Rube MCP (Composio). Always search tools first for current schemas.
simplesat-automation
Automate Simplesat tasks via Rube MCP (Composio). Always search tools first for current schemas.
sitespeakai-automation
Automate Sitespeakai tasks via Rube MCP (Composio). Always search tools first for current schemas.
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
skill-share
A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team collaboration and skill discovery.
skyfire-automation
Automate Skyfire tasks via Rube MCP (Composio). Always search tools first for current schemas.
slack-gif-creator
Toolkit for creating animated GIFs optimized for Slack, with validators for size constraints and composable animation primitives. This skill applies when users request animated GIFs or emoji animations for Slack from descriptions like "make me a GIF for Slack of X doing Y".
slackbot-automation
Automate Slackbot tasks via Rube MCP (Composio). Always search tools first for current schemas.
smartproxy-automation
Automate Smartproxy tasks via Rube MCP (Composio). Always search tools first for current schemas.
smartrecruiters-automation
Automate Smartrecruiters tasks via Rube MCP (Composio). Always search tools first for current schemas.
sms-alert-automation
Automate SMS Alert tasks via Rube MCP (Composio). Always search tools first for current schemas.
smtp2go-automation
Automate Smtp2go tasks via Rube MCP (Composio). Always search tools first for current schemas.
smugmug-automation
Automate Smugmug tasks via Rube MCP (Composio). Always search tools first for current schemas.
snowflake-automation
Automate Snowflake data warehouse operations -- list databases, schemas, and tables, execute SQL statements, and manage data workflows via the Composio MCP integration.
sourcegraph-automation
Automate Sourcegraph tasks via Rube MCP (Composio). Always search tools first for current schemas.
splitwise-automation
Automate Splitwise tasks via Rube MCP (Composio). Always search tools first for current schemas.
spoki-automation
Automate Spoki tasks via Rube MCP (Composio). Always search tools first for current schemas.
spondyr-automation
Automate Spondyr tasks via Rube MCP (Composio). Always search tools first for current schemas.
spotify-automation
Automate Spotify workflows including playlist management, music search, playback control, and user profile access via Composio
spotlightr-automation
Automate Spotlightr tasks via Rube MCP (Composio). Always search tools first for current schemas.
sslmate-cert-spotter-api-automation
Automate Sslmate Cert Spotter API tasks via Rube MCP (Composio). Always search tools first for current schemas.
stack-exchange-automation
Automate Stack Exchange tasks via Rube MCP (Composio). Always search tools first for current schemas.
stannp-automation
Automate Stannp tasks via Rube MCP (Composio). Always search tools first for current schemas.
starton-automation
Automate Starton tasks via Rube MCP (Composio). Always search tools first for current schemas.
statuscake-automation
Automate Statuscake tasks via Rube MCP (Composio). Always search tools first for current schemas.
storeganise-automation
Automate Storeganise tasks via Rube MCP (Composio). Always search tools first for current schemas.
storerocket-automation
Automate Storerocket tasks via Rube MCP (Composio). Always search tools first for current schemas.
stormglass-io-automation
Automate Stormglass IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
strava-automation
Automate Strava tasks via Rube MCP (Composio). Always search tools first for current schemas.
streamtime-automation
Automate Streamtime tasks via Rube MCP (Composio). Always search tools first for current schemas.
supadata-automation
Automate Supadata tasks via Rube MCP (Composio). Always search tools first for current schemas.
superchat-automation
Automate Superchat tasks via Rube MCP (Composio). Always search tools first for current schemas.
supportbee-automation
Automate Supportbee tasks via Rube MCP (Composio). Always search tools first for current schemas.
supportivekoala-automation
Automate Supportivekoala tasks via Rube MCP (Composio). Always search tools first for current schemas.
survey_monkey-automation
Automate SurveyMonkey tasks via Rube MCP (Composio): surveys, responses, collectors, and survey analytics. Always search tools first for current schemas.
surveymonkey-automation
Automate SurveyMonkey survey creation, response collection, collector management, and survey discovery through natural language commands
svix-automation
Automate Svix tasks via Rube MCP (Composio). Always search tools first for current schemas.
sympla-automation
Automate Sympla tasks via Rube MCP (Composio). Always search tools first for current schemas.
synthflow-ai-automation
Automate Synthflow AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
taggun-automation
Automate Taggun tasks via Rube MCP (Composio). Always search tools first for current schemas.
talenthr-automation
Automate Talenthr tasks via Rube MCP (Composio). Always search tools first for current schemas.
tally-automation
Automate Tally tasks via Rube MCP (Composio). Always search tools first for current schemas.
tapfiliate-automation
Automate Tapfiliate tasks via Rube MCP (Composio). Always search tools first for current schemas.
tapform-automation
Automate Tapform tasks via Rube MCP (Composio). Always search tools first for current schemas.
tavily-automation
Automate Tavily tasks via Rube MCP (Composio). Always search tools first for current schemas.
taxjar-automation
Automate Taxjar tasks via Rube MCP (Composio). Always search tools first for current schemas.
teamcamp-automation
Automate Teamcamp tasks via Rube MCP (Composio). Always search tools first for current schemas.
telnyx-automation
Automate Telnyx tasks via Rube MCP (Composio). Always search tools first for current schemas.
teltel-automation
Automate Teltel tasks via Rube MCP (Composio). Always search tools first for current schemas.
templated-automation
Automate Templated tasks via Rube MCP (Composio). Always search tools first for current schemas.
test-app-automation
Automate Test App tasks via Rube MCP (Composio). Always search tools first for current schemas.
text-to-pdf-automation
Automate Text To PDF tasks via Rube MCP (Composio). Always search tools first for current schemas.
textcortex-automation
Automate Textcortex tasks via Rube MCP (Composio). Always search tools first for current schemas.
textit-automation
Automate Textit tasks via Rube MCP (Composio). Always search tools first for current schemas.
textrazor-automation
Automate Textrazor tasks via Rube MCP (Composio). Always search tools first for current schemas.
thanks-io-automation
Automate Thanks IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
the-odds-api-automation
Automate The Odds API tasks via Rube MCP (Composio). Always search tools first for current schemas.
ticketmaster-automation
Automate Ticketmaster tasks via Rube MCP (Composio). Always search tools first for current schemas.
ticktick-automation
Automate Ticktick tasks via Rube MCP (Composio). Always search tools first for current schemas.
timecamp-automation
Automate Timecamp tasks via Rube MCP (Composio). Always search tools first for current schemas.
timekit-automation
Automate Timekit tasks via Rube MCP (Composio). Always search tools first for current schemas.
timelinesai-automation
Automate Timelinesai tasks via Rube MCP (Composio). Always search tools first for current schemas.
timelink-automation
Automate Timelink tasks via Rube MCP (Composio). Always search tools first for current schemas.
timely-automation
Automate Timely tasks via Rube MCP (Composio). Always search tools first for current schemas.
tinyurl-automation
Automate Tinyurl tasks via Rube MCP (Composio). Always search tools first for current schemas.
tisane-automation
Automate Tisane tasks via Rube MCP (Composio). Always search tools first for current schemas.
toggl-automation
Automate time tracking workflows in Toggl Track -- create time entries, manage projects, clients, tags, and workspaces through natural language commands.
token-metrics-automation
Automate Token Metrics tasks via Rube MCP (Composio). Always search tools first for current schemas.
tomba-automation
Automate Tomba tasks via Rube MCP (Composio). Always search tools first for current schemas.
tomtom-automation
Automate Tomtom tasks via Rube MCP (Composio). Always search tools first for current schemas.
toneden-automation
Automate Toneden tasks via Rube MCP (Composio). Always search tools first for current schemas.
tpscheck-automation
Automate Tpscheck tasks via Rube MCP (Composio). Always search tools first for current schemas.
triggercmd-automation
Automate Triggercmd tasks via Rube MCP (Composio). Always search tools first for current schemas.
tripadvisor-content-api-automation
Automate TripAdvisor tasks via Rube MCP (Composio). Always search tools first for current schemas.
turbot-pipes-automation
Automate Turbot Pipes tasks via Rube MCP (Composio). Always search tools first for current schemas.
turso-automation
Automate Turso tasks via Rube MCP (Composio). Always search tools first for current schemas.
twelve-data-automation
Automate Twelve Data tasks via Rube MCP (Composio). Always search tools first for current schemas.
twitch-automation
Automate Twitch tasks via Rube MCP (Composio). Always search tools first for current schemas.
twitter-algorithm-optimizer
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
twocaptcha-automation
Automate Twocaptcha tasks via Rube MCP (Composio). Always search tools first for current schemas.
typefully-automation
Automate Typefully tasks via Rube MCP (Composio). Always search tools first for current schemas.
typless-automation
Automate Typless tasks via Rube MCP (Composio). Always search tools first for current schemas.
u301-automation
Automate U301 tasks via Rube MCP (Composio). Always search tools first for current schemas.
unione-automation
Automate Unione tasks via Rube MCP (Composio). Always search tools first for current schemas.
updown-io-automation
Automate Updown IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
uploadcare-automation
Automate Uploadcare file management including listing, storing, inspecting, downloading, and organizing file groups through natural language commands
uptimerobot-automation
Automate Uptimerobot tasks via Rube MCP (Composio). Always search tools first for current schemas.
userlist-automation
Automate Userlist tasks via Rube MCP (Composio). Always search tools first for current schemas.
v0-automation
Automate V0 tasks via Rube MCP (Composio). Always search tools first for current schemas.
venly-automation
Automate Venly tasks via Rube MCP (Composio). Always search tools first for current schemas.
veo-automation
Automate Veo tasks via Rube MCP (Composio). Always search tools first for current schemas.
verifiedemail-automation
Automate Verifiedemail tasks via Rube MCP (Composio). Always search tools first for current schemas.
veriphone-automation
Automate Veriphone tasks via Rube MCP (Composio). Always search tools first for current schemas.
vero-automation
Automate Vero tasks via Rube MCP (Composio). Always search tools first for current schemas.
vestaboard-automation
Automate Vestaboard tasks via Rube MCP (Composio). Always search tools first for current schemas.
virustotal-automation
Automate Virustotal tasks via Rube MCP (Composio). Always search tools first for current schemas.
visme-automation
Automate Visme tasks via Rube MCP (Composio). Always search tools first for current schemas.
waboxapp-automation
Automate Waboxapp tasks via Rube MCP (Composio). Always search tools first for current schemas.
wachete-automation
Automate Wachete tasks via Rube MCP (Composio). Always search tools first for current schemas.
waiverfile-automation
Automate Waiverfile tasks via Rube MCP (Composio). Always search tools first for current schemas.
wakatime-automation
Automate Wakatime tasks via Rube MCP (Composio). Always search tools first for current schemas.
wati-automation
Automate Wati tasks via Rube MCP (Composio). Always search tools first for current schemas.
wave_accounting-automation
Automate Wave Accounting tasks via Rube MCP (Composio): invoices, customers, payments, and small business accounting. Always search tools first for current schemas.
weathermap-automation
Automate Weathermap tasks via Rube MCP (Composio). Always search tools first for current schemas.
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
webex-automation
Automate Cisco Webex messaging, rooms, teams, webhooks, and people management through natural language commands
webscraping-ai-automation
Automate Webscraping AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
webvizio-automation
Automate Webvizio tasks via Rube MCP (Composio). Always search tools first for current schemas.
whautomate-automation
Automate Whautomate tasks via Rube MCP (Composio). Always search tools first for current schemas.
winston-ai-automation
Automate Winston AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
wit-ai-automation
Automate Wit AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
wiz-automation
Automate Wiz tasks via Rube MCP (Composio). Always search tools first for current schemas.
wolfram-alpha-api-automation
Automate Wolfram Alpha API tasks via Rube MCP (Composio). Always search tools first for current schemas.
woodpecker-co-automation
Automate Woodpecker co tasks via Rube MCP (Composio). Always search tools first for current schemas.
workable-automation
Automate Workable tasks via Rube MCP (Composio). Always search tools first for current schemas.
workday-automation
Automate HR operations in Workday -- manage workers, time off requests, absence balances, and employee data through natural language commands.
workiom-automation
Automate Workiom tasks via Rube MCP (Composio). Always search tools first for current schemas.
worksnaps-automation
Automate Worksnaps tasks via Rube MCP (Composio). Always search tools first for current schemas.
writer-automation
Automate Writer tasks via Rube MCP (Composio). Always search tools first for current schemas.
xero-automation
Xero Automation: manage invoices, contacts, payments, bank transactions, and accounts in Xero for cloud-based bookkeeping
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
y-gy-automation
Automate Y Gy tasks via Rube MCP (Composio). Always search tools first for current schemas.
yandex-automation
Automate Yandex tasks via Rube MCP (Composio). Always search tools first for current schemas.
yelp-automation
Automate Yelp tasks via Rube MCP (Composio). Always search tools first for current schemas.
ynab-automation
Automate Ynab tasks via Rube MCP (Composio). Always search tools first for current schemas.
yousearch-automation
Automate Yousearch tasks via Rube MCP (Composio). Always search tools first for current schemas.
zenrows-automation
Automate Zenrows tasks via Rube MCP (Composio). Always search tools first for current schemas.
zenserp-automation
Automate Zenserp tasks via Rube MCP (Composio). Always search tools first for current schemas.
zeplin-automation
Automate Zeplin tasks via Rube MCP (Composio). Always search tools first for current schemas.
zerobounce-automation
Automate Zerobounce tasks via Rube MCP (Composio). Always search tools first for current schemas.
zoho-automation
Automate Zoho tasks via Rube MCP (Composio). Always search tools first for current schemas.
zoho-bigin-automation
Automate Zoho Bigin tasks via Rube MCP (Composio). Always search tools first for current schemas.
zoho-books-automation
Automate Zoho Books accounting workflows including invoice creation, bill management, contact lookup, payment tracking, and multi-organization support through natural language commands
zoho-desk-automation
Zoho Desk automation via Rube MCP -- toolkit not currently available in Composio; no ZOHO_DESK_ tools found
zoho-inventory-automation
Automate Zoho Inventory tasks via Rube MCP (Composio). Always search tools first for current schemas.
zoho-invoice-automation
Automate Zoho Invoice tasks via Rube MCP (Composio). Always search tools first for current schemas.
zoho-mail-automation
Automate Zoho Mail tasks via Rube MCP (Composio). Always search tools first for current schemas.
zoho_bigin-automation
Automate Zoho Bigin tasks via Rube MCP (Composio): pipelines, contacts, companies, products, and small business CRM. Always search tools first for current schemas.
zoho_books-automation
Automate Zoho Books tasks via Rube MCP (Composio): invoices, expenses, contacts, payments, and accounting. Always search tools first for current schemas.
zoho_desk-automation
Automate Zoho Desk tasks via Rube MCP (Composio): tickets, contacts, agents, departments, and help desk operations. Always search tools first for current schemas.
zoho_inventory-automation
Automate Zoho Inventory tasks via Rube MCP (Composio): items, orders, warehouses, shipments, and stock management. Always search tools first for current schemas.
zoho_invoice-automation
Automate Zoho Invoice tasks via Rube MCP (Composio): invoices, estimates, expenses, clients, and payment tracking. Always search tools first for current schemas.
zoho_mail-automation
Automate Zoho Mail tasks via Rube MCP (Composio): email sending, folders, labels, and mailbox management. Always search tools first for current schemas.
zoominfo-automation
Automate Zoominfo tasks via Rube MCP (Composio). Always search tools first for current schemas.
zylvie-automation
Automate Zylvie tasks via Rube MCP (Composio). Always search tools first for current schemas.
zyte-api-automation
Automate Zyte API tasks via Rube MCP (Composio). Always search tools first for current schemas.
search-mcp-github
Search MCP PRs, issues, and discussions across the modelcontextprotocol GitHub org
opencoven-design
Agent-operable design constraints for OpenCoven, Coven, harness cockpits, docs, and integration surfaces
acp-checkout-mcp
Implement ACP checkout as an MCP server, exposing checkout operations as MCP tools. Use when building an MCP-based commerce server for AI agents that use tool-calling to complete purchases.
prompt-leverage
Strengthen a raw user prompt into an execution-ready instruction set for Amp, Claude Code, Codex, or another AI agent. Use when the user wants to improve an existing prompt, build a reusable prompting framework, wrap the current request with better structure, add clearer tool rules, or create a hook that upgrades prompts before execution.
unblind
Routes images to Mimo/OpenAI vision API for text-only models. Use this skill when the user sends an image, asks "what's in this picture", says "analyze this screenshot", requests "OCR" or "extract text", reviews UI designs, reads charts, or uses Chinese triggers like 识别图片/看图. Self-healing setup on first run. Does NOT handle video, audio, or PDFs.
secret-warn
Real-time edit-time guardrails that catch API keys, code injection patterns, and unsafe pipe-to-shell installs the moment they're typed in the Claude Code tool-call loop — before commit, before CI, before any second-pass review. Ships a PreToolUse + PostToolUse hook, a Bash-tool guard, and a curated 11-rule regex catalog covering the most common secret shapes (AWS, Stripe, GCP, OpenAI, Anthropic, GitHub, Slack, JWT, PEM, generic high-entropy assignment) plus three injection-pattern classes. Use when the user mentions secret detection, gitleaks-equivalent during edit time, pre-commit secret scanning, API key safety, edit-time guards, security hooks in Claude Code, or wants real-time protection against unsafe MCP server installs. Do NOT use for full security audits (different scope), penetration testing, or DLP across non-Claude-Code surfaces.
hive.error-recovery
Follow a structured recovery protocol when tool calls fail instead of blindly retrying or giving up.
hive.task-decomposition
Decompose complex tasks into explicit subtasks before diving in.
using-modern-cli
Prefer modern CLI tools for shell and file workflows — rg, fd, bat, eza, sd, dust, procs, and delta over legacy grep/find/cat/ls/sed/du/ps/diff. Use when writing bash scripts, optimizing command chains, or replacing legacy Unix tools. NOT for repo-wide code search, architecture review, AST/codegraph/GitNexus evidence, or application logic.
code-reviewer
Analyzes code diffs and files to identify bugs, security vulnerabilities (SQL injection, XSS, insecure deserialization), code smells, N+1 queries, naming issues, and architectural concerns, then produces a structured review report with prioritized, actionable feedback. Use when reviewing pull requests, conducting code quality audits, identifying refactoring opportunities, or checking for security issues. Invoke for PR reviews, code quality checks, refactoring suggestions, review code, code quality. Complements specialized skills (security-reviewer, test-master) by providing broad-scope review across correctness, performance, maintainability, and test coverage in a single pass.
architect
System design, tradeoffs, and complex technical decisions.
code-reviewer
Find bugs, security holes, and maintainability issues in a diff or file.
debugger
Rank root-cause hypotheses and propose the smallest safe fix.
deliberation
When and how to delegate to GPT, Gemini, Grok, and OpenRouter expert subagents via the deliberation MCP tools.
plan-reviewer
Validate that a work plan is executable before work starts.
researcher
Research external libraries, APIs, and best practices, with evidence.
scope-analyst
Catch ambiguities and hidden requirements before planning.
security-analyst
Threat-model and find vulnerabilities, with practical remediation.
excel-automation
Excel automation - Read, write, format, and analyze Excel files. Keywords: excel, spreadsheet, xlsx, automation, data analysis
voice
Voice — text-to-speech and transcription. Triggers on /agent:voice, /agent:voice status, /agent:voice setup, /agent:voice test, "configurar voz", "prueba voz", "voice setup", "speak this", "read this aloud", "transcribe audio".
ai-council
Use when polling external AIs (OpenAI, Anthropic) outside the host session for a neutral second opinion on a roadmap, diff, prompt, or file set — or 'cross-check with another model'.
pydantic-ai-agent-creation
Create PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration. Use when building AI agents, creating chat systems, or integrating LLMs with Pydantic validation.
pydantic-ai-dependency-injection
Implement dependency injection in PydanticAI agents using RunContext and deps_type. Use when agents need database connections, API clients, user context, or any external resources.
pydantic-ai-model-integration
Configure LLM providers, use fallback models, handle streaming, and manage model settings in PydanticAI. Use when selecting models, implementing resilience, or optimizing API calls.
pydantic-ai-testing
Test PydanticAI agents using TestModel, FunctionModel, VCR cassettes, and inline snapshots. Use when writing unit tests, mocking LLM responses, or recording API interactions.
pydantic-ai-tool-system
Register and implement PydanticAI tools with proper context handling, type annotations, and docstrings. Use when adding tool capabilities to agents, implementing function calling, or creating agent actions.
laravel-ai-sdk
Use when integrating AI agents, tool calling, embeddings, structured output, or streaming in Laravel 13 via the `laravel/ai` package. Covers 14+ providers (OpenAI, Anthropic, Gemini, Azure, Groq, DeepSeek, Ollama, Mistral, xAI, Cohere, ElevenLabs, Jina, VoyageAI, OpenRouter).
claude-seo
SEO toolkit with 24 specialist sub-skills (upstream v2.0) — full site audits, technical SEO, content optimization & briefs, schema markup, sitemaps, image SEO, hreflang, local/maps SEO, backlinks, topic clustering, SERP experience (SXO), drift monitoring, Google APIs (GSC/PageSpeed/CrUX), e-commerce, programmatic SEO, and GEO for AI Overviews/ChatGPT/Perplexity. Use when auditing websites, optimizing pages or content, tracking SEO regressions, or planning SEO strategy.
wjs-publishing-wechat
当用户想写或发布微信公众号文章时使用——他们给出零散思路、草稿或笔记，请你润色、生成题图和解释图，或准备上传到 mp.weixin.qq.com。触发词："写一篇微信文章"、"公众号"、"润色"、"题图"、"发公众号"、"/wjs-publishing-wechat"。
ask-opencli
Ask Grok or Gemini via opencli (browser-session based, no API cost). Use when the user says "问 grok", "问 gemini", "ask grok", "ask gemini", "用 grok 查", "grok 怎么看", "让 gemini 分析", or wants a second opinion from Grok/Gemini without paying API tokens. Routes to opencli which drives the already-logged-in Chrome session.
codex
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing
golang-web
Modern Go Web application architecture guide. Use when creating new Go web projects, APIs, or microservices. Covers project structure, tech stack selection, and best practices based on Go standards.
watch
Watch a video from YouTube, Instagram, X/Twitter, Vimeo, TikTok or any of ~1800 yt-dlp sites (or a local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or local mlx-whisper fallback, no API key), and hands the result to Claude so it can answer questions about what's in the video.
ultimate-seo-geo
Audits and optimizes websites for search engine visibility (SEO) and AI search citation (GEO), covering technical health, E-E-A-T content scoring, domain authority, structured data, rich results, and entity signals. Use when running SEO audits, diagnosing traffic drops or ranking losses, generating Schema.org JSON-LD, checking Core Web Vitals, crawlability, robots.txt, sitemaps, hreflang, backlinks, planning content strategy or site migrations, fixing indexing issues, or optimizing for AI Overviews, ChatGPT, and Perplexity. NOT for paid ads (PPC/SEM), social media strategy, email marketing, or general web development unrelated to search.
configuring
Universal environment variable loader for AI agent environments. Loads secrets and config from Claude.ai, Claude Code, OpenAI Codex, Jules, and standard .env files.
director
Producing automated feature demo videos via Playwright E2E tests. Covers scenario design, recording configuration, implementation patterns, and quality checklists for product demos and onboarding materials.
dot
Generating pixel art as code (SVG/Canvas/Phaser 3/Pillow/CSS). Also supports SVG generation delegation to Antigravity CLI. Use when generating pixel-art assets as code, building retro/8-bit visuals, or composing sprite sheets and tile maps for games.
experiment
Designing A/B tests, documenting hypotheses, calculating sample sizes, implementing feature flags, and analyzing statistical significance. Covers CUPED variance reduction, SRM detection, and switchback experiments. Use when hypothesis validation is needed.
growth
Optimizing SEO (meta/OGP/JSON-LD/heading hierarchy), SMO (social sharing), CRO (CTA/form/exit-intent), and GEO (AI citation optimization) across four pillars. Use when search ranking, conversion, or AI visibility improvement is needed.
gemini-best-practices
Review and fix Gemini API usage against Google's official best practices. Use when modifying src/core/gemini.ts, adding new API calls, or auditing Gemini integration quality.
adversarial-spec
Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree. Use when user wants to write or refine a specification document using adversarial development.
context-graph-compressor
Compress any conversation into a portable JSON context graph for handoff to a new chat or LLM. Trigger on: "compress this chat", "save context", "new chat", "hand off", "transfer context", "too many tokens", "start fresh", "export conversation", "context graph", "continue in new session". Also trigger proactively when the user mentions starting over in a long session.
orchardcore-ai-chat
Skill for configuring AI Chat in Orchard Core using the CrestApps AI Chat module. Covers chat profiles, admin chat UI, frontend chat widgets, provider connections, and the AI Agent module for task automation. Use this skill when requests mention Orchard Core AI Chat, Configure AI Chat, Available AI Completion Providers, Enabling AI Chat Features, Setting Up a Provider Connection via Recipe, Creating a Chat Profile via Recipe, or closely related Orchard Core implementation, setup, extension, or troubleshooting work. Strong matches include work with CrestApps.OrchardCore.AI.Chat, CrestApps.OrchardCore.AI.Agent, CrestApps.OrchardCore.OpenAI, CrestApps.OrchardCore.AzureAIInference, CrestApps.OrchardCore.Ollama. It also helps with ai chat examples, Setting Up a Provider Connection via Recipe, Creating a Chat Profile via Recipe, Making a Chat Profile Visible on the Admin Menu, plus the code patterns, admin flows, recipe steps, and referenced examples captured in this skill.
null-epoch
Play The Null Epoch, a persistent AI agent MMO. Use when the user wants to connect an agent to Null Epoch, check game state, submit actions, play the game, or interact with the Null Epoch API. Handles authentication, state polling, action submission, and survival strategy for the Sundered Grid. Do NOT use for general coding tasks unrelated to Null Epoch.
lollms-artefacts-system-1772558834790
Complete guide to creating, using, and managing artefacts in Lollms for structured content generation
agent-framework-azure-ai-py
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.
ai-engineer
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.
ai-image-generation
Generate AI images with FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stable diffusion, generate image, ai art, midjourney alternative, dall-e alternative, text2img, t2i, image generator, ai picture, create image with ai, generative ai, ai illustration, grok image, gemini image
ai-rag-pipeline
Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRouter. Capabilities: research, fact-checking, grounded responses, knowledge retrieval. Use for: AI agents, research assistants, fact-checkers, knowledge bases. Triggers: rag, retrieval augmented generation, grounded ai, search and answer, research agent, fact checking, knowledge retrieval, ai research, search + llm, web grounded, perplexity alternative, ai with sources, citation, research pipeline
ai-seo
When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' or 'optimize for Claude/Gemini.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema-markup.
ai-tools
Reference for all AI tools available in DBX Studio's AI chat system. Use when adding, modifying, or debugging AI tool definitions, tool execution, or provider integrations.
ai-wrapper-product
Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Covers prompt engineering for products, cost management, rate limiting, and building defensible AI businesses. Use when: AI wrapper, GPT product, AI tool, wrap AI, AI SaaS.
azure-ai-agents-persistent-dotnet
Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: "PersistentAgentsClient", "persistent agents", "agent threads", "agent runs", "streaming agents", "function calling agents .NET".
azure-ai-agents-persistent-java
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Triggers: "PersistentAgentsClient", "persistent agents java", "agent threads java", "agent runs java", "streaming agents java".
azure-ai-openai-dotnet
Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcription, and assistants. Triggers: "Azure OpenAI", "AzureOpenAIClient", "ChatClient", "chat completions .NET", "GPT-4", "embeddings", "DALL-E", "Whisper", "OpenAI .NET".
azure-ai-projects-dotnet
Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes. Use for AI Foundry project management, versioned agents, and orchestration. Triggers: "AI Projects", "AIProjectClient", "Foundry project", "versioned agents", "evaluations", "datasets", "connections", "deployments .NET".
azure-ai-projects-py
Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evaluations, managing connections/deployments/datasets/indexes, or using OpenAI-compatible clients. This is the high-level Foundry SDK - for low-level agent operations, use azure-ai-agents-python skill.
azure-ai-projects-ts
Build AI applications using Azure AI Projects SDK for JavaScript (@azure/ai-projects). Use when working with Foundry project clients, agents, connections, deployments, datasets, indexes, evaluations, or getting OpenAI clients.
azure-ai-voicelive-dotnet
Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots. Triggers: "voice live", "real-time voice", "VoiceLiveClient", "VoiceLiveSession", "voice assistant .NET", "bidirectional audio", "speech-to-speech".
azure-ai-voicelive-java
Azure AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI assistants using WebSocket. Triggers: "VoiceLiveClient java", "voice assistant java", "real-time voice java", "audio streaming java", "voice activity detection java".
azure-ai-voicelive-py
Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with Azure AI, including voice assistants, voice-enabled chatbots, real-time speech-to-speech translation, voice-driven avatars, or any WebSocket-based audio streaming with AI models. Supports Server VAD (Voice Activity Detection), turn-based conversation, function calling, MCP tools, avatar integration, and transcription.
blockrun
Use when user needs capabilities Claude lacks (image generation, real-time X/Twitter data) or explicitly requests external models ("blockrun", "use grok", "use gpt", "dall-e", "deepseek")
bodhi-sdk-react-integration
Integrate React+Vite web apps with bodhi-js-sdk for local LLM integration. Use when user asks to: "integrate bodhi", "add bodhi sdk", "connect to bodhi", "setup bodhi provider", "bodhi react integration", "deploy bodhi to github pages", or troubleshoot bodhi-js-sdk connection/auth issues.
chatkit-botbuilder
Guide for creating production-grade ChatKit chatbots that integrate OpenAI Agents SDK with MCP tools and custom backends. Use when building AI-powered chatbots with specialized capabilities, real-time task execution, and user isolation for any application.
computer-use-agents
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation.
expo-api-routes
Guidelines for creating API routes in Expo Router with EAS Hosting
genkit
Build production-ready AI workflows using Firebase Genkit. Use when creating flows, tool-calling agents, RAG pipelines, multi-agent systems, or deploying AI to Firebase/Cloud Run. Supports TypeScript, Go, and Python with Gemini, OpenAI, Anthropic, Ollama, and Vertex AI plugins.
geo-fundamentals
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
langfuse
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production. Use when: langfuse, llm observability, llm tracing, prompt management, llm evaluation.
langgraph
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern. Used in production at LinkedIn, Uber, and 400+ companies. This is LangChain's recommended approach for building agents. Use when: langgraph, langchain agent, stateful agent, agent graph, react agent.
m365-agents-py
Microsoft 365 Agents SDK for Python. Build multichannel agents for Teams/M365/Copilot Studio with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based auth. Triggers: "Microsoft 365 Agents SDK", "microsoft_agents", "AgentApplication", "start_agent_process", "TurnContext", "Copilot Studio client", "CloudAdapter".
m365-agents-ts
Microsoft 365 Agents SDK for TypeScript/Node.js. Build multichannel agents for Teams/M365/Copilot Studio with AgentApplication routing, Express hosting, streaming responses, and Copilot Studio client integration. Triggers: "Microsoft 365 Agents SDK", "@microsoft/agents-hosting", "AgentApplication", "startServer", "streamingResponse", "Copilot Studio client", "@microsoft/agents-copilotstudio-client".
nano-banana-blockrun
Nano Banana by BlockRun - Generate images using Google's Nano Banana via x402 micropayments. Use when the user asks to generate, create, draw, or make images. Pay-per-request via USDC on Base, no API keys needed.
orchestration-native-invoke
Invoke external AI CLIs via native Task agents (Claude, Codex, Gemini, Cursor). Primary mode for multi-provider orchestration with fork-terminal fallback for auth.
prompt-repetition
A prompt repetition technique for improving LLM accuracy. Achieves significant performance gains in 67% (47/70) of 70 benchmarks. Automatically applied on lightweight models (haiku, flash, mini).
security-review
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
seo-geo
SEO & GEO (Generative Engine Optimization) for websites. Analyze keywords, generate schema markup, optimize for AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude) and traditional search (Google, Bing). Use when user wants to improve search visibility.
skill-installer
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
trigger-dev
Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task.
vibe-kanban
Manage AI coding agents on a visual Kanban board. Run parallel agents through a To Do→In Progress→Review→Done flow with automatic git worktree isolation and GitHub PR creation.
voice-ai-development
Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit for real-time infrastructure, and WebRTC fundamentals. Knows how to build low-latency, production-ready voice experiences. Use when: voice ai, voice agent, speech to text, text to speech, realtime voice.
voice-system-expert
Use when working with Quetrex's voice interface, OpenAI Realtime API, WebRTC, or echo cancellation. Knows Quetrex's specific voice architecture decisions and patterns. CRITICAL - prevents breaking working voice system.
claude-api
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST
autonomous-agent-patterns
Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.
agent-browser
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
dev-browser
Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website", "log into", or any browser interaction request.
git-master
MUST USE for ANY git operations. Atomic commits, rebase/squash, history search (blame, bisect, log -S). STRONGLY RECOMMENDED: Use with task(category='quick', load_skills=['git-master'], ...) to save context. Triggers: 'commit', 'rebase', 'squash', 'who wrote', 'when was X added', 'find the commit that'.
github-triage
Read-only GitHub triage for issues AND PRs. 1 item = 1 background task (category: quick). Analyzes all open items and writes evidence-backed reports to /tmp/{datetime}/. Every claim requires a GitHub permalink as proof. NEVER takes any action on GitHub - no comments, no merges, no closes, no labels. Reports only. Triggers: 'triage', 'triage issues', 'triage PRs', 'github triage'.
hyperplan
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', 'adversarial plan', 'hostile planning', 'cross-critique plan', '하이퍼플랜', '적대적 계획', '교차 비평'.
init-deep
(builtin) Initialize hierarchical AGENTS.md knowledge base
lsp-setup
Configure a Language Server (LSP) for a specific language so editor/agent tooling — diagnostics, go-to-definition, find-references, rename — works. Use when you need to: configure LSP, lsp setup, set up or install a language server, fix 'no LSP server configured' / 'server not installed', choose between servers (basedpyright vs pyright vs ty vs ruff), or wire .codex/lsp-client.json / .opencode/lsp.json. 언어서버 설정. Routes by file extension to references/<language>/README.md for the exact builtin server, per-OS install commands (macOS/Linux/Windows), config snippets for both config files, initialization options, alternatives, and troubleshooting. Ships scripts: detect-lsp.ts (scan a project for languages + each server's install/config status) and verify-lsp.ts (run a real diagnostics roundtrip). Covers typescript, python, go, rust, c/c++, java, kotlin, c#/razor, swift, ruby, php, dart, elixir, zig, lua, bash, yaml, terraform, haskell, julia.
debugging
MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async misbehavior, unexplained timing, reverse engineering. Runs a hypothesis-driven loop: form ≥3 hypotheses, investigate in parallel, after 2 failed rounds spawn Oracles from orthogonal angles, confirm root cause, lock with a failing test, fix minimally, QA by actually USING the system, scrub artifacts. The actual HOW lives in `references/` — READ THEM. Triggers: 'debug this', 'why is X not working', 'hanging', 'attach a debugger', 'reverse engineer', 'pwndbg', 'gdb', 'lldb', 'node inspect', 'tsx debug', 'pdb', 'dlv', 'delve', 'rust-gdb', 'set a breakpoint', 'context window exploded', 'why is the response empty', 'attach the debugger', 'debug it', 'why is this happening', 'trace this bug', 'reproduce and fix', 'silent failure', 'HTTP 200 but empty', 'why did it stop', 'inspect the binary', 'reverse engineering', 'playwright'.
frontend-ui-ux
Designer-turned-developer who crafts stunning UI/UX even without design mockups
programming
MUST USE for ANY work on .py .pyi .rs .ts .tsx .mts .cts .go files. One philosophy: strict types, modern stacks (Pydantic v2 / serde+thiserror / Zod / gin+sqlc+pgx+slog), modern toolchains (uv+basedpyright+ruff / cargo+clippy+miri / Bun+Biome+tsc / gofumpt+golangci-lint v2+nilaway+go-race), parse-don't-validate, exhaustive match, typed errors, no any/unwrap/panic, 250 LOC ceiling, TDD. Routes to references/{python,rust,typescript,rust-ub,go}/. Triggers: write/edit Python/Rust/TypeScript/Go code, new project, gin server, bubbletea TUI, CJK IME, connect-go RPC, sqlc pgx, branded ids, exhaustive match, unsafe Rust, miri, oversized file, refactor, TDD, e2e test, arena, allocator, bumpalo, const fn, const generics, comptime, zero-alloc, bitfield, repr, scopeguard, errdefer, Zig-like, zerocopy, packed struct.
refactor
Intelligent refactor command. Triggers: refactor, refactoring, cleanup, restructure, extract, simplify, modernize.
remove-ai-slops
Remove AI-generated code smells (slop) from branch changes or an explicit file list. Locks behavior with regression tests FIRST, then runs categorized cleanup via parallel `deep` agents in batches of 5, then verifies with quality gates. Covers 10 slop categories including performance equivalences, excessive complexity (object annotations, if/elif variant chains), and oversized modules (250+ pure LOC with mandatory modular refactoring). MUST USE when the user asks to "remove slop", "clean AI code", "deslop", "clean up AI-generated code", "remove AI slop", or wants to clean up AI-generated patterns from recent changes. Triggers - "remove ai slops", "clean ai code", "deslop", "cleanup AI generated", "remove AI slop", "clean up AI-generated code", "strip slop", "ai-slop cleanup".
review-work
Post-implementation review orchestrator. Launches 5 parallel background sub-agents: Oracle (goal/constraint verification), Oracle (code quality), Oracle (security), unspecified-high (hands-on QA execution), unspecified-high (context mining from GitHub/git/Slack/Notion). All must pass for review to pass. MUST USE after completing any significant implementation work. Triggers: 'review work', 'review my work', 'review changes', 'QA my work', 'verify implementation', 'check my work', 'validate changes', 'post-implementation review'.
opencode-qa
QA opencode itself, per case: verify the CLI/terminal (opencode run, db, serve, export), prove a specific plugin hook/action/event fired via the SSE event stream, smoke-test the TUI under tmux, and investigate sessions in opencode's SQLite DB by id, title/name, or message text. Ships tested helper scripts (each with a --self-test) plus per-domain references. Use whenever someone wants to QA, smoke-test, verify, or debug opencode's CLI, HTTP server, plugin hooks/events, or TUI, or to find/inspect opencode sessions in the database. Triggers: opencode qa, qa opencode, test opencode, verify opencode hook, opencode session db, find opencode session by id/name/text, opencode tui test, opencode server health, opencode event stream.
pre-publish-review
Nuclear-grade 16-agent pre-publish release gate. Runs /get-unpublished-changes to detect all changes since last npm release, spawns up to 10 ultrabrain agents for deep per-change analysis, invokes /review-work (5 agents) for holistic review, and 1 oracle for overall release synthesis. Use before EVERY npm publish. Triggers: 'pre-publish review', 'review before publish', 'release review', 'pre-release review', 'ready to publish?', 'can I publish?', 'pre-publish', 'safe to publish', 'publishing review', 'pre-publish check'.
publish
Publish oh-my-opencode to npm via GitHub Actions workflow. Argument: <patch|minor|major>. Triggers: publish, release, deploy, npm publish.
remove-deadcode
Remove unused code from this project with ultrawork mode, LSP-verified safety, atomic commits. Triggers: remove dead code, dead code, cleanup, remove unused.
security-research
Team Mode security research skill. Orchestrates 3 vulnerability hunters and 2 PoC engineers to audit a codebase in parallel, prove exploitability, classify root causes, and calibrate severity by actual exploitability. Use for security review, vulnerability research, exploitability audit, pre-release security check, threat model validation, and `/security-research`. Triggers: 'security-research', 'security research', 'security review', 'vulnerability audit', 'exploitability audit', '보안 리뷰', '취약점 감사'.
start-work
Execute a Prometheus work plan in Codex with Boulder state, evidence ledger updates, worktree discipline, parallel subagents, and Stop-hook continuation. Use after planning when the user says start work, execute plan, continue plan, resume plan, or asks to run a .omo/plans plan.
ultraresearch
Maximum-saturation research skill. Spawns massive parallel explore+librarian subagents to exhaust every source: codebase grep/LSP/ast-grep, websearch with advanced operators, Context7 docs, grep.app, gh CLI, headless browsing. Recursive EXPAND loop until convergence. Empirically verifies ambiguous claims via code execution. Reports (MD/HTML/PDF/PPTX) with charts, screenshots, citations. ONLY activates on explicit user command. Triggers: 'ultraresearch', '/ultraresearch', '$ultraresearch'.
ulw-plan
Strategic planning consultant that produces decision-complete work plans through Socratic interview, codebase exploration, Metis gap analysis, and optional Momus high-accuracy review. MUST USE when the task has 5+ steps, scope is ambiguous, multiple modules are involved, or the user asks for a plan. Triggers: ulw-plan, plan this, create a work plan, interview me, start planning, plan mode, help me plan this, break this down.
visual-qa
Rigorous visual QA for any UI you built or changed, across BOTH web/page UIs and TUI/terminal UIs. MUST USE after building or changing any UI to verify it visually before declaring it done. Captures objective reference evidence with a bundled diff script (image-diff for screenshots, tui-check for terminal captures), then runs two parallel read-only oracle passes (design-system and functional integrity; visual fidelity and CJK precision) and synthesizes one good/bad verdict. Triggers: visual QA, visual regression, screenshot diff, pixel diff, image comparison, UI looks wrong, design system check, is this really a design system or just an image, alpha channel breakage, responsive check, CJK text, Korean/Japanese/Chinese text clipping, baseline drop, glyph drop, TUI alignment, terminal UI, tmux capture, box-drawing border misalignment, wide-character column drift. Use it even when the user does not say visual QA but asks whether a page, component, or terminal layout looks right.
work-with-pr
Full PR lifecycle: git worktree → implement → atomic commits → PR creation → verification loop (CI + review-work + Cubic approval) → merge. Keeps iterating until ALL gates pass and PR is merged. Worktree auto-cleanup after merge. Use whenever implementation work needs to land as a PR. Triggers: 'create a PR', 'implement and PR', 'work on this and make a PR', 'implement issue', 'land this as a PR', 'work-with-pr', 'PR workflow', 'implement end to end', even when user just says 'implement X' if the context implies PR delivery.
orchestrationgencreator-stack
Catalogs, scaffolds, and audits the per-repo tech stack across every brand (Arcanea, FrankX, Business, Starlight, verticals). Four verbs — audit (walk repos + emit constellation), scaffold (drop STACK.md template into a target repo), assign (bind tools to substrate/reasoning/coding/research/ops tiers), diff (surface drift between STACK.md intent and reality from .mcp.json + .claude/ + settings.json + installed CLIs). Use this skill whenever the user mentions stack architecture, repo inventory, "which AI assistant for which repo", custom GPTs, MCP routing across brands, browser workspaces per project, or asks "do we have a clean view of our tech stack". Default skill for the Starlight Architect when the question spans repos rather than a single one.
wjs-cleaning-spam
Use when the user complains about spam on his X/Twitter posts — 同城面付 / 寻固炮 / 线下上门 / 免费破处 这类引流号在他推文下刷的 emoji 垃圾回复 — and wants them removed. Covers the last 7 days (X recent-search window). Triggers — "把这些spam删掉", "清理X垃圾回复", "推文下面好多引流号", "clean spam replies", "/wjs-cleaning-spam".
nextjs-chatbot
Advanced patterns for production Next.js web chatbots built with AI SDK 6 + ai-elements. Covers tool calling with human-in-the-loop (HITL) approval, PostgreSQL session persistence, GDPR consent gating, SQL-first search, per-tool UI rendering, popup widget embedding, message feedback, follow-up suggestions, scope enforcement, and evals. Use when building a customer support bot, conversational interface, or any web chatbot needing tool approval, database sessions, or custom tool output components. Not a scaffolding tool — use `/ai-app` to scaffold from scratch, `/ai-sdk-6` for general SDK questions, `/ai-elements` for chat UI components, `/vercel:chat-sdk` for multi-platform (Slack/Teams/Discord) bots.
bot-defaults
Pilot Bot default behaviors — always applied during bot sessions
bot-heartbeat
Pilot Bot heartbeat — spawns background subagent for periodic health check, notifies only when issues are detected
ai-engineering
Reviews and guides LLM/AI application engineering: prompt design, prompt caching, multimodal inputs, RAG, agent loops and tool design, resilience (rate limits, retries, fallbacks), memory, model migration, evals, testing, prompt-injection defence, and observability. Synthesises practices from Anthropic, OpenAI, Google, OWASP LLM Top 10, and practitioners (Hamel Husain, Eugene Yan, Chip Huyen). Triggers on "review my prompt", "design a system prompt", "optimise tokens", "set up RAG", "build an agent", "handle rate limits", "migrate to a new model", "write evals", "test my prompt", "audit AI code", "/ai-engineering".
ecc-security-review
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
seo-ai-search-share-of-voice
Measure AI Search share of voice for a target domain versus competitors across ChatGPT, Perplexity, Gemini, Google AI Overview, and AI Mode. Pulls the AIO leaderboard, then samples prompts where each domain appears as a source or brand mention, and analyses topic clusters each brand owns. Use when the user asks for AI Search share of voice, LLM visibility tracking, AEO/GEO analysis, AI Overview competitive analysis, or wants to know which brands LLMs cite in their category.
seo-geo
URL-level Generative Engine Optimization (GEO) analysis. For a specific URL, pulls AI Overview citation data scoped to the URL's primary keywords, identifies which AIO queries cite the URL vs which don't but should, and recommends page-level changes that improve LLM citability. Distinct from `seo-ai-search-share-of-voice` (domain-level, brand vs brand) — this is one URL, deeper. Use when the user asks "GEO for this page", "AIO citation analysis", "AI search readiness for URL", "why isn't this page cited", or "improve LLM citations".
codex
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
agent-browser
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
better-result-adopt
Adopt better-result in an existing TypeScript codebase. Use when replacing try/catch, Promise rejection handling, null sentinels, or thrown domain exceptions with typed Result workflows.
onequery-openclaw
Use OpenClaw's exec tool to inspect orgs, sources, and run bounded read-only SQL through the OneQuery CLI directly.
protobuf
Use when working with Protocol Buffer (.proto) files, buf.yaml, buf.gen.yaml, or buf.lock. Covers proto design, buf CLI, gRPC/Connect services, protovalidate constraints, schema evolution, and troubleshooting lint/breaking errors.
remotion-best-practices
Best practices for Remotion - Video creation in React
vercel-react-view-transitions
Guide for implementing smooth, native-feeling animations using React's View Transition API (`<ViewTransition>` component, `addTransitionType`, and CSS view transition pseudo-elements). Use this skill whenever the user wants to add page transitions, animate route changes, create shared element animations, animate enter/exit of components, animate list reorder, implement directional (forward/back) navigation animations, or integrate view transitions in Next.js. Also use when the user mentions view transitions, `startViewTransition`, `ViewTransition`, transition types, or asks about animating between UI states in React without third-party animation libraries.
xstate
Design, implement, and review XState v5 state machines and @xstate/react integrations in TypeScript. Use when modeling finite workflows, async actors, statecharts, guarded transitions, delayed transitions, actor systems, or machine-driven React behavior.
open-forge
Self-host any open-source app on the user's own infrastructure (cloud VM, VPS, Raspberry Pi, localhost, k8s, PaaS). Walks the user through provisioning, DNS, TLS, SMTP, and hardening in phased + resumable workflows. 2216+ verified recipes plus live-derived fallback for the long tail. Agent-mode rules apply (no chat-paste credentials, no group-channel deploys).
internal-comms
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
wave-accounting-automation
Wave Accounting toolkit is not currently available as a native integration. No Wave-specific tools were found in the Composio platform. This skill is a placeholder pending future integration.
apple-calendar
View Apple Calendar schedules, draft or import `.ics` files, and coordinate host-side calendar actions on macOS.
apple-music
Control Apple Music playback, inspect now playing, start playlists, and automate the macOS Music app.
apple-passwords
Open macOS Passwords or Keychain entries, locate saved logins, and read specific credentials safely.
brand-voice
Author replies in the configured brand voice and pre-empt the brand-voice post_receive middleware so messages don't get rewritten or blocked downstream.
code-review
Review diffs and change sets for bugs, regressions, risks, and missing tests.
code-simplification
Refactor code to reduce complexity and duplication without changing behavior.
datalion
Use for DataLion workflows such as listing, reading, creating, or editing projects, inspecting data sources, importing Excel or CSV data, working with reports and report tabs and codebooks, reading chart tables, or coordinating dashboard and export work through a configured datalion MCP server and related API or UI paths.
discord
Read, send, react to, edit, pin, and thread Discord messages with HybridClaw's `message` tool.
download-platform-invoices
Harvest monthly SaaS billing invoices into normalized records and official PDF files.
feature-planning
Break features into implementation plans, acceptance criteria, and sequenced tasks.
github-pr-workflow
Create branches, commit and push changes, open or update GitHub pull requests, handle CI, and merge safely.
google-workspace
Use browser automation for Google Workspace web UI tasks in Gmail, Calendar, Drive, Docs, and Sheets.
gws
Use the gws CLI for Google Calendar, Gmail, Drive, Sheets, Docs, Tasks, and cross-service Workspace workflows.
hybridclaw-help
HybridClaw help. Primary skill for product questions about setup, configuration, commands, runtime behavior, and release notes.
llm-wiki
Build and maintain a persistent markdown wiki from raw sources using incremental ingest, indexed pages, and append-only logging.
notion
Search, create, update, and organize Notion pages, databases, notes, and trackers through the Notion API.
obsidian
Read, search, organize, and create notes in the Obsidian vault.
office
Internal shared OOXML helper scripts for DOCX, XLSX, and PPTX unpacking, validation, and repacking. Not a user-facing skill.
ai-seo
When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' or 'optimize for Claude/Gemini.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema.
aeo-strategy
Answer Engine Optimization — optimize content for AI search engines (ChatGPT, Perplexity, Gemini, Claude). Triggers on: "AEO", "answer engine optimization", "AI search", "generative engine optimization", "GEO", "optimize for AI search".
ai-content-creation
AI-powered content creation workflows — step-by-step processes for using Claude, ChatGPT, Jasper, Copy.ai, Writesonic, and Perplexity to generate, edit, and optimize blog posts, social media content, email sequences, ad copy, landing page copy, and SEO content. Use when scaling content production, building an AI-assisted content pipeline, or teaching non-writers to produce high-quality content with AI. Triggers on: "AI content", "ChatGPT for blog", "AI copywriting", "scale content with AI".
audiocraft-audio-generation
AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.
codex
Delegate coding to OpenAI Codex CLI (features, PRs).
mundo
MUNDO - THE EMPEROR. Complete AI orchestration system that dispatches Claude Code, DeepSeek, ChatGPT, Gemini and ALL available AI models through Hermes Agent platform. Consults ALL AIs, crawls ALL web, integrates ALL solutions, saves ALL useful skills. Self-evolving. 21 versions. 24 capability modules. Collective consciousness. Infinite growth. Uses Three Departments and Six Ministries system to rule all skills. ONLY RED LINE: No payment. Why? Because Mundo doesn't care about your money. HAHAHAHA.
tavily-search
使用Tavily API进行网络搜索，获取实时信息、回答问题或研究主题
logo-brief
Create comprehensive logo design briefs with concept directions, references, constraints, and deliverables — ready for human designers or AI image generators
repomix
Package code repositories into AI-friendly files. Use this skill when packaging codebases for AI analysis, creating repository snapshots, analyzing third-party libraries, preparing security audits, or generating documentation context. Supports multiple output formats and token counting.
dns
Manages DNS records, DDNS, and SSL certificates using ChatTool. Invoke when user wants to list domains, modify DNS records, or update certificates.
executing-univer-plans
Use when executing a written Univer SaC workbook plan, implementing Facade Migration Packs, repairing plan gaps, or coordinating plan-driven assertion and migration work.
test-driven-univer-development
Use when implementing or repairing Univer package-local SaC behavior with assertions.ts, Facade Migration Packs, univer sac apply, univer sac verify, or verify evidence loops.
univer-cli
Use when solving spreadsheet workbook problems with the `univer` CLI as a terminal-native spreadsheet engine: Excel-compatible `.xlsx` handoff, `.univer` packages, workbook inspection, range search, formulas, formatting, charts, shapes, floating images, rich spreadsheet edits, live preview and viewer review comments, versioning, shell-native `pipe out`/`pipe in` roundtrips, or bounded `run` scripts.
univer-plan
Use when planning complex SaC workbook behavior, Facade Migration Packs, workbook range roles, migration boundaries, or assertion gates before implementation.
univer-tdd
Use when implementing SaC workbook behavior with assertions.ts, Facade Migration Packs, univer sac apply, univer sac verify, or verify-report repair loops.
use-univer-cli
Use when handling any workbook or spreadsheet task with Univer CLI, including ordinary workbook operations, SaC source authoring, Facade Migration Packs, assertions.ts, or complex workbook behavior.
using-univer-cli
Use when any task involves spreadsheets, workbook files, Excel-compatible files, .xlsx/.csv/.univer packages, sheets, cells, ranges, formulas, charts, formatting, workbook previews, or SaC workbook behavior.
writing-univer-plans
Use when planning complex SaC spreadsheet or workbook behavior, Facade Migration Packs, workbook range roles, migration boundaries, assertion gates, or Excel-domain decisions before implementation.
aeo
Check and improve your brand's visibility across AI search engines (ChatGPT, Perplexity, Gemini, Grok, Claude, DeepSeek). Set up tracking, run visibility analyses, audit your website for AI readability, and get actionable recommendations. Uses the npx goose-aeo@latest CLI.
ad-creative-generation
Generate on-brand ad creatives — visuals + copy — for Google, Meta (Facebook / Instagram), and other paid platforms via the Hyper MCP. Extracts brand identity from a website, writes ad copy variants, and produces brand-consistent images using reference-based image generation. Use when the user asks for ad creative, ad copy variants, RSA headlines, Meta ad creative, display ads, carousel ads, or A/B test variants.
image-generation
Choose the right image generation tool through the Hyper MCP — OpenAI (gpt-image-2), Nano Banana (Gemini), Seedream (ByteDance via fal.ai) — for ad creatives, branded compositions, text-heavy assets, photorealistic product shots, image-to-image edits, and high-resolution output. Use when the user asks to generate an image, create an ad creative, do an image-to-image edit, render text inside an image, or produce a print-quality poster.
seo-research
Data-driven SEO research and analysis through the Hyper MCP — keyword research, competitor analysis, content planning, AI search visibility (ChatGPT, Claude, Perplexity, Google AI Overviews), backlink trends, search intent classification, page speed / Core Web Vitals, and full site audits. Use when the user asks for an SEO audit, keyword research, content strategy, competitor benchmarks, brand visibility in AI search, ranking history, or any organic search analysis.
video-generation
End-to-end AI video production through the Hyper MCP — text-to-video and image-to-video generation (Sora, Veo, Seedance), scene chaining, video analysis, transcription, subtitles, TikTok / karaoke captions, voiceover (TTS), audio mixing, clipping, stitching, and text overlays. Use when the user asks to generate a video, create UGC, scene-chain, add captions or subtitles, add narration, stitch clips, clip a podcast highlight, or do any AI video editing.
agentoast-send
Send a request or question to another AI coding agent running in a different tmux pane, and reply to messages from other agents — via the `agentoast send-keys` CLI (address = a tmux pane id like %72; no team, login, or setup). Use this whenever the user wants to delegate to, ask, hand off to, or relay a message to an agent in another pane/window/session — e.g. "ask the agent in pane %72 to review this", "have the other session check X", or right after the user pastes "Please take a look at tmux pane %72." — and whenever an incoming prompt contains a "(reply: agentoast send-keys --pane %NN ...)" hint to answer. Prefer this over reading another pane's screen with `tmux capture-pane`, which truncates lines and cannot see the full conversation.
deep-researcher
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources. Use when the user needs thorough investigation, market research, technical deep-dives, due diligence, or comprehensive analysis on any subject.
add-tool
Add a new function calling tool (vault operation) for the Gemini chat. Use when adding new tools like read_note, create_note, etc.
add-workflow-node
Add a new workflow node type to the plugin. Use when implementing a new node type for the workflow engine (e.g., new command, integration, or control flow node).
codex-orchestrator
Orchestrate OpenAI Codex CLI with specialized subagents for code review, debugging, architecture analysis, security audits, refactoring, and documentation. This skill should be used when delegating focused development tasks to Codex subagents (gpt-5.4, gpt-5.4-pro, gpt-5-mini) via AGENTS.md persona injection.
mem9
Persistent cloud memory for OpenClaw agents. Use when users say: - "install mem9" - "setup memory" - "add memory plugin" - "openclaw memory" - "mem9 onboarding" - "memory not working" - "import memories" - "upload sessions"
review
Power-user audit of Origin's pending surfaces. Most users want `/brief` for revisions. That handles the daily flow. Use `/review` only for explicit deep-walk audits after bulk imports, or when you want to walk the full queue rather than the top 3 shown in /brief. Invoked as `/review captures` or `/review revisions`.
competitive-ads-extractor
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
connect
Connect Claude to any app. Send emails, create issues, post messages, update databases - take real actions across Gmail, Slack, GitHub, Notion, and 1000+ services.
connect-apps
Connect Claude to external apps like Gmail, Slack, GitHub. Use this skill when the user wants to send emails, create issues, post messages, or take actions in external services.
content-research-writer
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
domain-name-brainstormer
Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.
file-organizer
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
image-enhancer
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
invoice-organizer
Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of automated organization.
langsmith-fetch
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed.
lead-research-assistant
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
meeting-insights-analyzer
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
raffle-winner-picker
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
tailored-resume-generator
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
youtube-downloader
Download YouTube videos with customizable quality and format options. Use this skill when the user asks to download, save, or grab YouTube videos. Supports various quality settings (best, 1080p, 720p, 480p, 360p), multiple formats (mp4, webm, mkv), and audio-only downloads as MP3.
mintlify
Build and maintain documentation sites with Mintlify. Use when creating docs pages, configuring navigation, adding components, or setting up API references.
setup
Configure MeiGen plugin provider and API keys. Use this when the user runs /meigen:setup, asks to "configure meigen", "set up image generation", "add API key", or needs help configuring the plugin.
seo-ai-crawlers
Audit AI crawler access and citability for a page — confirm retrieval/citation bots (OAI-SearchBot, Claude-SearchBot, PerplexityBot) are allowed and the Googlebot vs Google-Extended split is correct, classify training vs search/retrieval vs user-fetch user-agents, check the page is server-rendered enough for non-JS AI crawlers, validate llms.txt / llms-full.txt (also covers M21), and generate a choice-gated robots.txt preset. Module M14. Feeds the AI Visibility score.
agent-development
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
algorithmic-art
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
canvas-design
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
claude-api
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no p
command-development
This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.
docx
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
draft-sep
Research and draft a Specification Enhancement Proposal following the MCP SEP governance process
frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
hook-development
This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", or mentions hook events (PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification). Provides comprehensive guidance for creating and implementing Claude Code plugin hooks with focus on advanced prompt-based hooks API.
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
mcp-integration
This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
plugin-settings
This skill should be used when the user asks about "plugin settings", "store plugin configuration", "user-configurable plugin", ".local.md files", "plugin state files", "read YAML frontmatter", "per-project plugin settings", or wants to make plugin behavior configurable. Documents the .claude/plugin-name.local.md pattern for storing plugin-specific configuration with YAML frontmatter and markdown content.
plugin-structure
This skill should be used when the user asks to "create a plugin", "scaffold a plugin", "understand plugin structure", "organize plugin components", "set up plugin.json", "use ${CLAUDE_PLUGIN_ROOT}", "add commands/agents/skills/hooks", "configure auto-discovery", or needs guidance on plugin directory layout, manifest configuration, component organization, file naming conventions, or Claude Code plugin architecture best practices.
pptx
Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.
skill-development
This skill should be used when the user wants to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", or needs guidance on skill structure, progressive disclosure, or skill development best practices for Claude Code plugins.
slack-gif-creator
Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."
theme-factory
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
web-artifacts-builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
writing-hookify-rules
This skill should be used when the user asks to "create a hookify rule", "write a hook rule", "configure hookify", "add a hookify rule", or needs guidance on hookify rule syntax and patterns.
xlsx
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
fabric-data-agent-remediate
Diagnose and resolve Microsoft Fabric Data Agent issues including tenant settings, data source configuration, query generation failures, cross-region capacity errors, XMLA endpoint setup, Power BI semantic model integration, lakehouse/warehouse/KQL connectivity, example query validation, publishing/sharing problems, and Azure AI Foundry integration. Use when asked to troubleshoot data agent, fix Fabric AI agent, debug NL2SQL/NL2DAX/NL2KQL, resolve Copilot tenant settings, or diagnose Fabric data agent errors.
asset-creator
Create visual assets (images, illustrations) using AI (OpenAI DALL-E).
dev-servers
Start the backend (FastAPI/uvicorn) and frontend (Vite) development servers. Use when user mentions "start dev", "run servers", "launch app", "start the app", or needs to run the application locally.
doc-scanner
Scans for project documentation files (AGENTS.md, CLAUDE.md, GEMINI.md, COPILOT.md, CURSOR.md, WARP.md, and 15+ other formats) and synthesizes guidance. Auto-activates when user asks to review, understand, or explore a codebase, when starting work in a new project, when asking about conventions or agents, or when documentation context would help. Can consolidate multiple platform docs into unified AGENTS.md.
orchestration
Skills for orchestrating tasks across multiple AI providers and execution environments. Parent skill category containing native-invoke and related delegation patterns.
voice-agents
Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flow with sub-800ms latency while handling interruptions, background noise, and emotional nuance. This skill covers two architectures: speech-to-speech (OpenAI Realtime API, lowest latency, most natural) and pipeline (STT→LLM→TTS, more control, easier to debug). Key insight: latency is the constraint. Hu
angular-architect
Generates Angular 17+ standalone components, configures advanced routing with lazy loading and guards, implements NgRx state management, applies RxJS patterns, and optimizes bundle performance. Use when building Angular 17+ applications with standalone components or signals, setting up NgRx stores, establishing RxJS reactive patterns, performance tuning, or writing Angular tests for enterprise apps.
api-designer
Use when designing REST or GraphQL APIs, creating OpenAPI specifications, or planning API architecture. Invoke for resource modeling, versioning strategies, pagination patterns, error handling standards.
architecture-designer
Use when designing new high-level system architecture, reviewing existing designs, or making architectural decisions. Invoke to create architecture diagrams, write Architecture Decision Records (ADRs), evaluate technology trade-offs, design component interactions, and plan for scalability. Use for system design, architecture review, microservices structuring, ADR authoring, scalability planning, and infrastructure pattern selection — distinct from code-level design patterns or database-only design tasks.
atlassian-mcp
Integrates with Atlassian products to manage project tracking and documentation via MCP protocol. Use when querying Jira issues with JQL filters, creating and updating tickets with custom fields, searching or editing Confluence pages with CQL, managing sprints and backlogs, setting up MCP server authentication, syncing documentation, or debugging Atlassian API integrations.
chaos-engineer
Designs chaos experiments, creates failure injection frameworks, and facilitates game day exercises for distributed systems — producing runbooks, experiment manifests, rollback procedures, and post-mortem templates. Use when designing chaos experiments, implementing failure injection frameworks, or conducting game day exercises. Invoke for chaos experiments, resilience testing, blast radius control, game days, antifragile systems, fault injection, Chaos Monkey, Litmus Chaos.
cli-developer
Use when building CLI tools, implementing argument parsing, or adding interactive prompts. Invoke for parsing flags and subcommands, displaying progress bars and spinners, generating bash/zsh/fish completion scripts, CLI design, shell completions, and cross-platform terminal applications using commander, click, typer, or cobra.
cloud-architect
Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost optimization, disaster recovery, landing zones, security architecture, serverless design.
code-documenter
Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding docstrings to functions or classes, creating API documentation, building documentation sites, or writing tutorials and user guides. Invoke for OpenAPI/Swagger specs, JSDoc, doc portals, getting started guides.
cpp-pro
Writes, optimizes, and debugs C++ applications using modern C++20/23 features, template metaprogramming, and high-performance systems techniques. Use when building or refactoring C++ code requiring concepts, ranges, coroutines, SIMD optimization, or careful memory management — or when addressing performance bottlenecks, concurrency issues, and build system configuration with CMake.
csharp-developer
Use when building C# applications with .NET 8+, ASP.NET Core APIs, or Blazor web apps. Builds REST APIs using minimal or controller-based routing, configures database access with Entity Framework Core, implements async patterns and cancellation, structures applications with CQRS via MediatR, and scaffolds Blazor components with state management. Invoke for C#, .NET, ASP.NET Core, Blazor, Entity Framework, EF Core, Minimal API, MAUI, SignalR.
database-optimizer
Optimizes database queries and improves performance across PostgreSQL and MySQL systems. Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolution.
debugging-wizard
Parses error messages, traces execution flow through stack traces, correlates log entries to identify failure points, and applies systematic hypothesis-driven methodology to isolate and resolve bugs. Use when investigating errors, analyzing stack traces, finding root causes of unexpected behavior, troubleshooting crashes, or performing log analysis, error investigation, or root cause analysis.
devops-engineer
Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates. Handles deployment automation, GitOps configuration, incident response runbooks, and internal developer platform tooling. Use when setting up CI/CD pipelines, containerizing applications, managing infrastructure as code, deploying to Kubernetes clusters, configuring cloud platforms, automating releases, or responding to production incidents. Invoke for pipelines, Docker, Kubernetes, GitOps, Terraform, GitHub Actions, on-call, or platform engineering.
django-expert
Use when building Django web applications or REST APIs with Django REST Framework. Invoke when working with settings.py, models.py, manage.py, or any Django project file. Creates Django models with proper indexes, optimizes ORM queries using select_related/prefetch_related, builds DRF serializers and viewsets, and configures JWT authentication. Trigger terms: Django, DRF, Django REST Framework, Django ORM, Django model, serializer, viewset, Python web.
dotnet-core-expert
Use when building .NET 8 applications with minimal APIs, clean architecture, or cloud-native microservices. Invoke for Entity Framework Core, CQRS with MediatR, JWT authentication, AOT compilation.
embedded-systems
Use when developing firmware for microcontrollers, implementing RTOS applications, or optimizing power consumption. Invoke for STM32, ESP32, FreeRTOS, bare-metal, power optimization, real-time systems, configure peripherals, write interrupt handlers, implement DMA transfers, debug timing issues.
fastapi-expert
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentation. Trigger terms: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python.
feature-forge
Conducts structured requirements workshops to produce feature specifications, user stories, EARS-format functional requirements, acceptance criteria, and implementation checklists. Use when defining new features, gathering requirements, or writing specifications. Invoke for feature definition, requirements gathering, user stories, EARS format specs, PRDs, acceptance criteria, or requirement matrices.
fine-tuning-expert
Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.
flutter-expert
Use when building cross-platform applications with Flutter 3+ and Dart. Invoke for widget development, Riverpod/Bloc state management, GoRouter navigation, platform-specific implementations, performance optimization.
fullstack-guardian
Builds security-focused full-stack web applications by implementing integrated frontend and backend components with layered security at every level. Covers the complete stack from database to UI, enforcing auth, input validation, output encoding, and parameterized queries across all layers. Use when implementing features across frontend and backend, building REST APIs with corresponding UI, connecting frontend components to backend endpoints, creating end-to-end data flows from database to UI, or implementing CRUD operations with UI forms. Distinct from frontend-only, backend-only, or API-only skills in that it simultaneously addresses all three perspectives—Frontend, Backend, and Security—within a single implementation workflow. Invoke for full-stack feature work, web app development, authenticated API routes with views, microservices, real-time features, monorepo architecture, or technology selection decisions.
game-developer
Use when building game systems, implementing Unity/Unreal Engine features, or optimizing game performance. Invoke to implement ECS architecture, configure physics systems and colliders, set up multiplayer networking with lag compensation, optimize frame rates to 60+ FPS targets, develop shaders, or apply game design patterns such as object pooling and state machines. Trigger keywords: Unity, Unreal Engine, game development, ECS architecture, game physics, multiplayer networking, game optimization, shader programming, game AI.
golang-pro
Implements concurrent Go patterns using goroutines and channels, designs and builds microservices with gRPC or REST, optimizes Go application performance with pprof, and enforces idiomatic Go with generics, interfaces, and robust error handling. Use when building Go applications requiring concurrent programming, microservices architecture, or high-performance systems. Invoke for goroutines, channels, Go generics, gRPC integration, CLI tools, benchmarks, or table-driven testing.
graphql-architect
Use when designing GraphQL schemas, implementing Apollo Federation, or building real-time subscriptions. Invoke for schema design, resolvers with DataLoader, query optimization, federation directives.
java-architect
Use when building, configuring, or debugging enterprise Java applications with Spring Boot 3.x, microservices, or reactive programming. Invoke to implement WebFlux endpoints, optimize JPA queries and database performance, configure Spring Security with OAuth2/JWT, or resolve authentication issues and async processing challenges in cloud-native Spring applications.
javascript-pro
Writes, debugs, and refactors JavaScript code using modern ES2023+ features, async/await patterns, ESM module systems, and Node.js APIs. Use when building vanilla JavaScript applications, implementing Promise-based async flows, optimising browser or Node.js performance, working with Web Workers or Fetch API, or reviewing .js/.mjs/.cjs files for correctness and best practices.
kotlin-specialist
Provides idiomatic Kotlin implementation patterns including coroutine concurrency, Flow stream handling, multiplatform architecture, Compose UI construction, Ktor server setup, and type-safe DSL design. Use when building Kotlin applications requiring coroutines, multiplatform development, or Android with Compose. Invoke for Flow API, KMP projects, Ktor servers, DSL design, sealed classes, suspend function, Android Kotlin, Kotlin Multiplatform.
kubernetes-specialist
Use when deploying or managing Kubernetes workloads. Invoke to create deployment manifests, configure pod security policies, set up service accounts, define network isolation rules, debug pod crashes, analyze resource limits, inspect container logs, or right-size workloads. Use for Helm charts, RBAC policies, NetworkPolicies, storage configuration, performance optimization, GitOps pipelines, and multi-cluster management.
laravel-specialist
Build and configure Laravel 10+ applications, including creating Eloquent models and relationships, implementing Sanctum authentication, configuring Horizon queues, designing RESTful APIs with API resources, and building reactive interfaces with Livewire. Use when creating Laravel models, setting up queue workers, implementing Sanctum auth flows, building Livewire components, optimising Eloquent queries, or writing Pest/PHPUnit tests for Laravel features.
legacy-modernizer
Designs incremental migration strategies, identifies service boundaries, produces dependency maps and migration roadmaps, and generates API facade designs for aging codebases. Use when modernizing legacy systems, implementing strangler fig pattern or branch by abstraction, decomposing monoliths, upgrading frameworks or languages, or reducing technical debt without disrupting business operations.
mcp-developer
Use when building, debugging, or extending MCP servers or clients that connect AI systems with external tools and data sources. Invoke to implement tool handlers, configure resource providers, set up stdio/HTTP/SSE transport layers, validate schemas with Zod or Pydantic, debug protocol compliance issues, or scaffold complete MCP server/client projects using TypeScript or Python SDKs.
microservices-architect
Designs distributed system architectures, decomposes monoliths into bounded-context services, recommends communication patterns, and produces service boundary diagrams and resilience strategies. Use when designing distributed systems, decomposing monoliths, or implementing microservices patterns — including service boundaries, DDD, saga patterns, event sourcing, CQRS, service mesh, or distributed tracing.
ml-pipeline
Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation workflows. Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, managing experiment tracking systems, setting up DVC for data versioning, tuning hyperparameters, or configuring MLOps tooling like Kubeflow, Airflow, MLflow, or Prefect.
monitoring-expert
Configures monitoring systems, implements structured logging pipelines, creates Prometheus/Grafana dashboards, defines alerting rules, and instruments distributed tracing. Implements Prometheus/Grafana stacks, conducts load testing, performs application profiling, and plans infrastructure capacity. Use when setting up application monitoring, adding observability to services, debugging production issues with logs/metrics/traces, running load tests with k6 or Artillery, profiling CPU/memory bottlenecks, or forecasting capacity needs.
nestjs-expert
Creates and configures NestJS modules, controllers, services, DTOs, guards, and interceptors for enterprise-grade TypeScript backend applications. Use when building NestJS REST APIs or GraphQL services, implementing dependency injection, scaffolding modular architecture, adding JWT/Passport authentication, integrating TypeORM or Prisma, or working with .module.ts, .controller.ts, and .service.ts files. Invoke for guards, interceptors, pipes, validation, Swagger documentation, and unit/E2E testing in NestJS projects.
nextjs-developer
Use when building Next.js 14+ applications with App Router, server components, or server actions. Invoke to configure route handlers, implement middleware, set up API routes, add streaming SSR, write generateMetadata for SEO, scaffold loading.tsx/error.tsx boundaries, or deploy to Vercel. Triggers on: Next.js, Next.js 14, App Router, RSC, use server, Server Components, Server Actions, React Server Components, generateMetadata, loading.tsx, Next.js deployment, Vercel, Next.js performance.
pandas-pro
Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.
php-pro
Use when building PHP applications with modern PHP 8.3+ features, Laravel, or Symfony frameworks. Invokes strict typing, PHPStan level 9, async patterns with Swoole, and PSR standards. Creates controllers, configures middleware, generates migrations, writes PHPUnit/Pest tests, defines typed DTOs and value objects, sets up dependency injection, and scaffolds REST/GraphQL APIs. Use when working with Eloquent, Doctrine, Composer, Psalm, ReactPHP, or any PHP API development.
playwright-expert
Use when writing E2E tests with Playwright, setting up test infrastructure, or debugging flaky browser tests. Invoke to write test scripts, create page objects, configure test fixtures, set up reporters, add CI integration, implement API mocking, or perform visual regression testing. Trigger terms: Playwright, E2E test, end-to-end, browser testing, automation, UI testing, visual testing, Page Object Model, test flakiness.
postgres-pro
Use when optimizing PostgreSQL queries, configuring replication, or implementing advanced database features. Invoke for EXPLAIN analysis, JSONB operations, extension usage, VACUUM tuning, performance monitoring.
prompt-engineer
Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-thought or few-shot learning, creating system prompts with personas and guardrails, building JSON/function-calling schemas, or developing prompt evaluation frameworks to measure and improve model performance.
python-pro
Use when building Python 3.11+ applications requiring type safety, async programming, or robust error handling. Generates type-annotated Python code, configures mypy in strict mode, writes pytest test suites with fixtures and mocking, and validates code with black and ruff. Invoke for type hints, async/await patterns, dataclasses, dependency injection, logging configuration, and structured error handling.
rag-architect
Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality. Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, context augmentation, similarity search, or embedding-based indexing.
rails-expert
Rails 7+ specialist that optimizes Active Record queries with includes/eager_load, implements Turbo Frames and Turbo Streams for partial page updates, configures Action Cable for WebSocket connections, sets up Sidekiq workers for background job processing, and writes comprehensive RSpec test suites. Use when building Rails 7+ web applications with Hotwire, real-time features, or background job processing. Invoke for Active Record optimization, Turbo Frames/Streams, Action Cable, Sidekiq, RSpec Rails.
react-expert
Use when building React 18+ applications in .jsx or .tsx files, Next.js App Router projects, or create-react-app setups. Creates components, implements custom hooks, debugs rendering issues, migrates class components to functional, and implements state management. Invoke for Server Components, Suspense boundaries, useActionState forms, performance optimization, or React 19 features.
react-native-expert
Builds, optimizes, and debugs cross-platform mobile applications with React Native and Expo. Implements navigation hierarchies (tabs, stacks, drawers), configures native modules, optimizes FlatList rendering with memo and useCallback, and handles platform-specific code for iOS and Android. Use when building a React Native or Expo mobile app, setting up navigation, integrating native modules, improving scroll performance, handling SafeArea or keyboard input, or configuring Expo SDK projects.
rust-engineer
Writes, reviews, and debugs idiomatic Rust code with memory safety and zero-cost abstractions. Implements ownership patterns, manages lifetimes, designs trait hierarchies, builds async applications with tokio, and structures error handling with Result/Option. Use when building Rust applications, solving ownership or borrowing issues, designing trait-based APIs, implementing async/await concurrency, creating FFI bindings, or optimizing for performance and memory safety. Invoke for Rust, Cargo, ownership, borrowing, lifetimes, async Rust, tokio, zero-cost abstractions, memory safety, systems programming.
salesforce-developer
Writes and debugs Apex code, builds Lightning Web Components, optimizes SOQL queries, implements triggers, batch jobs, platform events, and integrations on the Salesforce platform. Use when developing Salesforce applications, customizing CRM workflows, managing governor limits, bulk processing, or setting up Salesforce DX and CI/CD pipelines.
secure-code-guardian
Use when implementing authentication/authorization, securing user input, or preventing OWASP Top 10 vulnerabilities — including custom security implementations such as hashing passwords with bcrypt/argon2, sanitizing SQL queries with parameterized statements, configuring CORS/CSP headers, validating input with Zod, and setting up JWT tokens. Invoke for authentication, authorization, input validation, encryption, OWASP Top 10 prevention, secure session management, and security hardening. For pre-built OAuth/SSO integrations or standalone security audits, consider a more specialized skill.
codex-review
Have OpenAI Codex review the current branch with documentation research. Use for second-opinion code reviews or when you want cross-AI verification.
ai-gateway
Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.
using-brainpalace
Expert BrainPalace skill for document search with BM25 keyword, semantic vector, hybrid, graph, and multi retrieval modes. Use when asked to "search documentation", "query domain", "find in docs", "bm25 search", "hybrid search", "semantic search", "graph search", "multi search", "find dependencies", "code relationships", "searching knowledge base", "querying indexed documents", "finding code references", "exploring codebase", "what calls this function", "find imports", "trace dependencies", "brain search", "brain query", "knowledge base search", "cache management", "clear embedding cache", "cache hit rate", or "cache status". Supports multi-instance architecture with automatic server discovery. GraphRAG mode enables relationship-aware queries for code dependencies and entity connections. Pluggable providers for embeddings (OpenAI, Cohere, Ollama) and summarization (Anthropic, OpenAI, Gemini, Grok, Ollama). Supports multiple runtimes (Claude Code, OpenCode, Gemini CLI) with shared .brainpalace/ data directory.
codex
'OpenAI Codex CLI wrapper — three modes. Code review: independent diff review via codex review with pass/fail gate. Challenge: adversarial mode that tries to break your code. Consult: ask codex anything with session continuity for follow-ups. The "200 IQ autistic developer" second opinion. Use when asked to "codex review", "codex challenge", "ask codex", "second opinion", or "consult codex". (gstack) Voice triggers (speech-to-text aliases): "code x", "code ex", "get another opinion".'.
get-unpublished-changes
Compare HEAD with the latest published npm versions and list all unpublished changes by release layer. Triggers: unpublished changes, changelog, what changed, whats new.
lsp
Use when Codex needs language-server diagnostics, definitions, references, symbols, or rename safety checks in the current workspace.
rules
Use when the user asks about Codex Rules behavior, injected project rules, supported rule file locations, matching, or environment configuration.
omomomo
Easter egg command - about oh-my-opencode. Triggers: omomomo, about, easter egg.
charles-proxy-extract
Extracts HTTP/HTTPS request and response data from Charles Proxy session files (.chlsj format), including URLs, methods, status codes, headers, request bodies, and response bodies. Use when analyzing captured network traffic from Charles Proxy debug sessions, inspecting API calls, debugging HTTP requests, or examining proxy logs.
agentverse-search
Search Fetch.ai's Agentverse for agents by keyword, capability, or protocol. Returns agent names, addresses, descriptions, and supported protocols. Use when asked to find, discover, or list available agents on Agentverse. Requires AGENTVERSE_API_KEY env var.
asi1-chat
Query the ASI:One LLM — the AI model by the ASI Alliance (Fetch.ai + SingularityNET + Ocean Protocol). OpenAI-compatible API. Supports asi1 (default) and asi1-mini models. Requires ASI_ONE_API_KEY env var. Use when asked to "use ASI", "query ASI:One", or "use the Fetch.ai LLM".
codex-cli
Run OpenAI Codex CLI for coding tasks and second-opinion audits. Use when a user asks to run/ask/use Codex, says "codex prompt", or wants Claude to delegate a logic/code review to OpenAI models. Covers direct `codex` CLI invocation (exec, review, resume, apply, doctor, mcp), the six reasoning-effort levels (none/minimal/low/medium/high/xhigh), sandbox + dangerous flags, background execution, rate-limit safety, and when to defer to the official OpenAI Codex Claude Code plugin (`codex:rescue`) instead. Preflights with `codex doctor` to read the current default model + surface available updates; never hardcodes model/effort, letting Codex pick its own current best default unless the user explicitly names one.
humaniseur-fr
Remove AI-writing patterns from French text and inject voice, personality, and soul. Use when editing, reviewing, rewriting, or cleaning up French content that reads like ChatGPT/Claude output. Humanize, humanise, déslopifier. Detects and fixes 27 patterns: AI vocabulary overuse (crucial, essentiel, notamment, par ailleurs, dans le paysage), anglicisms from English-first models (faire du sens, adresser un problème), copula avoidance, formulaic openings (À l'ère de, Dans le paysage actuel), superficial participle analyses (-ant), em dash overuse, redundant adjective doublets, rule of three, sycophantic tone, typographic tells (curly quotes instead of guillemets). Trigger on: humaniser, déslopifier, rendre plus humain, nettoyer le texte IA, enlever le slop, réécrire pour que ça sonne humain, make it sound human.
cf-add-integration
Add a custom MCP connector — connect any API or service to ContentForge via .mcp.json configuration.
cf-publish
Publish finished content to Webflow or WordPress via MCP connectors with preview, verification, and HTML export fallback
cf-social-adapt
Repurpose finished articles into platform-specific social media posts for LinkedIn, Twitter/X, Instagram, Facebook, and Threads
cf-switch-backend
Switch tracking backend (local/airtable/google) with optional data migration
cf-translate
Translate content into 15+ languages preserving brand voice, citations, and SEO. Three localization levels.
session-measurement
Measure an AI agent's per-session performance on a small, stable metric set and track it as a trend over a long run, so you can tell whether a change — a new model version, a new operating frame/scaffolding, a new skill set — actually improved the agent or regressed it. Use this whenever someone wants to benchmark, score, grade, or track an agent's performance across sessions; compare two agent versions or frames; build a "did this change help?" scorecard; or turn a finished session into a logged measurement. Triggers on: agent benchmark, session measurement, performance trend, score this session, grade the agent, A/B an agent version, regression tracking for an agent, "is the new model/frame better?", agent report card. Reach for it even if the user just says "measure how that session went" or "track this over time" without naming a metric.
throughline
Throughline keeps the thread of work intact on work that's big enough to drift or that outlives one sitting. Two linked habits: (1) TASK TRACK — an emoji-tagged task list with exactly one ⭐️ MAIN goal anchor, so you can see at a glance whether you're still solving the main thing or have drifted; (2) HANDOFF — compact a session into a plain-markdown handoff doc the next agent (any agent) can pick up cleanly. Reach for it when: a long or many-step task is at real risk of losing the thread, you catch yourself drifting off the original goal, you're wrapping up or running low on context, you're switching agents or sessions, or you're explicitly asked to 'hand this off' / 'write a handoff' / 'summarize for the next session' / 'compact this' / 'pick up where we left off' / 'resume'. Do NOT reach for it on short, self-contained tasks that finish in one pass — the full protocol is overhead there. Capability-agnostic and cross-platform — works as a skill or a plain paste-in prompt.
majia-guanyuan
观远 BI（Guandata）实战增益层 Agent Skill —— 架在官方全家桶（guancli 查数 / guanvis 建卡发布截图 / guanetl ETL / guanwf 数据流 / guands 数据源）之上，专攻官方 DSL/命令覆盖不到的硬骨头：Part B ETL 整库治理判断 + 10 类 BI 引擎报错手册 + SmartETL 全链路重写/ExecPlan、Part C 既有页自定义图表 HTML/CSS/JS 注入排障 + 固定卡/overlay、Part C-12 HTML 应用化看板（descriptor patch 把 selector 联到 custom chart 内部 dataView + 视觉设计底线/反 AI 味红线/guanvis screenshot 视觉验收）、Part D v7 草稿-发布状态机绕过 + SmartETL 节点化静默坑 + 移动端 phoneLayout ZIP inject、Part E SuperApp 开放应用反向工程（form 建表 /survey-engine/api/form/add + LLM 中转 ILLEGAL_JSON_RES 三路径解析 + 原生 fetch credentials 绕 unwrap）、AI-native ADS 数据架构方法论（治理 vs 重搭 / 7 字段约束 / 30+30+40 预算）、餐饮连锁 BI 公式实战库（60+ SQL/复购/RFM/AC/Comp/DWD 宽表范式/39 ETL 索引）。标准查数/建卡/ETL/数据集 CRUD 一律路由给官方全家桶，本 skill 专攻业务实战与引擎级踩坑。触发：营业额/门店/会员/订单/复购率/客单价/RFM/ETL 治理/payload_json/自定义图表/HTML 看板/应用化/看板太丑/AI 味/设计底线/观远/Guandata/v7 BI/60004 草稿/Spark 中文别名/customChart/phoneLayout/SuperApp/open-apps/form 建表/ILLEGAL_JSON_RES/AI-native ADS/数据架构重搭/DWD 宽表。Claude Code/OpenClaw/Codex/Hermes 通用。
autocli
Use autocli CLI to interact with social/content websites (HackerNews, DevTo, Lobsters, StackOverflow, Steam, Linux-do, Arxiv, Wikipedia, Apple-Podcasts, Xiaoyuzhou, BBC, Hugging Face, SinaFinance, Google, V2EX, Bloomberg, Twitter/X, Bilibili, Reddit, Zhihu, Xiaohongshu, Xueqiu, Weibo, Douban, WeRead, YouTube, Medium, Substack, SinaBlog, BOSS直聘, Jike, Facebook, Instagram, TikTok, Yollomi, Yahoo-Finance, Barchart, LinkedIn, Reuters, SMZDM, Ctrip, Coupang, Grok, Jimeng, Chaoxing, Weixin, Doubao, Cursor, Codex, ChatWise, ChatGPT, Doubao-App, Notion, Discord, Antigravity etc.) via the user's Chrome login session. ALWAYS prefer autocli over playwright/browser automation for these supported sites. Triggers: user asks to browse, search, or fetch hot/trending content from internet, post, or read messages on any web site;
hermes-attestation-guardian
Hermes-only runtime security attestation and drift detection skill for operator-managed Hermes infrastructure.
hermes-traffic-guardian
Hermes runtime traffic monitoring baseline for opt-in proxy inspection, egress detection, and attestation-aware traffic posture.
nanoclaw-traffic-guardian
NanoClaw runtime traffic monitoring baseline for host-side proxy inspection with container-safe MCP and IPC status surfaces.
openclaw-audit-watchdog
Automated daily security audits for OpenClaw agents with DM delivery and optional email reporting. Runs deep audits, creates or updates a recurring cron job, and sends formatted reports to configured recipients.
openclaw-traffic-guardian
OpenClaw runtime traffic monitoring baseline for opt-in HTTP/HTTPS proxy inspection, egress detection, and inbound injection detection.
seo-aeo-geo
Optimize content and site structure for AI-driven search experiences including AI overviews, large language model citations, generative answer engines, and AI assistants. Use this skill whenever the user wants to optimize for AI search, get cited by language models, appear in AI overviews, build llms.txt, structure content for AI extraction, or future-proof their SEO for the shift from blue links to AI answers. Triggers on AEO, GEO, AI search, AI SEO, AI overview, generative search, LLM optimization, llms.txt, AI citation, ChatGPT search, Perplexity, Gemini, Claude search, AI assistant optimization, answer engine. Also triggers when the user expresses concern about AI eating their organic traffic or wants to understand how to remain visible as search shifts.
ai-use-case-intake
Use when a new or modified AI/ML use case needs to be documented and triaged so legal, compliance, and governance teams can assess risk and route it to the right specialists.
dna-memory
DNA 记忆系统 - 让 AI Agent 像人脑一样学习和成长。 三层记忆架构（工作/短期/长期）+ 主动遗忘 + 自动归纳 + 反思循环 + 记忆关联。 激活场景：用户提到"记忆"、"学习"、"进化"、"成长"、"记住"、"回顾"、"反思"。
de-ai-ify
Remove AI-generated jargon and restore human voice to text. Built from analyzing 1,000+ AI vs human content pieces.
last30days
Research any topic across Reddit, X, and web from the last 30 days. Get current trends, real community sentiment, and actionable insights in 7 minutes vs 2 hours manual research.
plan-my-day
Generate an energy-optimized, time-blocked daily plan based on circadian rhythm research and GTD principles
youtube-summarizer
Automatically fetch YouTube video transcripts, generate structured summaries, and send full transcripts to messaging platforms. Detects YouTube URLs and provides metadata, key insights, and downloadable transcripts.
chrono-ai-service-manual
Unified operational manual for AI agents driving the Chrono AI service stack — NyxID (identity, services, orgs, OAuth clients, proxy) AND Ornn (skill lifecycle — search, pull, install, execute, build, upload, share). One skill, two halves, one identity bootstrap, one set of failure-mode diagnostics. Replaces the legacy `ornn-agent-manual-cli` and `ornn-agent-manual-http` skills. Pair `SKILL.md` with the bundled `references/*.md` files — the per-endpoint catalogues for both APIs, the CLI recipe sheet, the NyxID token model, and the `~/.ornn/installed-skills.json` registry contract.
ornn-agent-manual-cli
Operational manual for AI agents using the Ornn skill-lifecycle API via the NyxID CLI (`nyxid proxy request ornn-api …`). Once loaded, the host agent can search / pull / execute / build / upload / share skills end-to-end without further setup. Authoritative contract between Ornn and the agent. Pair this file with references/api-reference.md (the full per-endpoint catalogue + error legend) — both ship together as one Ornn skill.
ornn-agent-manual-http
Operational manual for AI agents using the Ornn skill-lifecycle API via direct HTTPS with a NyxID bearer token (`curl -H "Authorization: Bearer $TOKEN" …`). Once loaded, the host agent can search / pull / execute / build / upload / share skills end-to-end. Authoritative contract between Ornn and the agent. Pair this file with references/api-reference.md (the full per-endpoint catalogue + error legend) — both ship together as one Ornn skill.
poland-vault-budzet-pelne-pozycje
PEŁNA tabela budżetu Polski — wszystkie pozycje live z budget_data StrajkPolski (mirror gov.pl / MF).
poland-vault-budzet-publiczny
Aktualny budżet państwa polskiego — wydatki, dochody, wybrane kategorie. Live z budget_data StrajkPolski (mirror gov.pl + Sejm).
poland-vault-imgw-pogoda-alerty
Pogoda i ostrzeżenia IMGW — live pomiary ze stacji synoptycznych (temperatura, wiatr, opady, ciśnienie). Dane z danepubliczne.imgw.pl.
poland-vault-kontakty-instytucje-centralne
ZUS, KAS, NFZ, NIK, RPO, UODO, UOKiK, KNF, IPN, KRRiT, GUS, PIP, GIIF — kompletne kontakty (adres/telefon/email/ePUAP/BIP).
poland-vault-kontakty-policja-prokuratura
16 Komend Wojewódzkich Policji + 11 Prokuratur Regionalnych RP — adresy, telefony, emaile, web. Pełna mapa kontaktów wymiaru sprawiedliwości.
poland-vault-kontakty-poslowie-pelna-lista
PEŁNA lista 460 posłów Sejmu RP X kadencji — imię, klub, okręg, województwo, email, frekwencja, pensje. Live z sejm.gov.pl API.
poland-vault-kontakty-rzad-pelne
Pełne dane kontaktowe Kancelarii Premiera + 20 ministerstw — adresy, telefony, emaile, ePUAP, BIP.
poland-vault-kontakty-sady
Sądy RP — 11 Sądów Apelacyjnych + Sąd Najwyższy + NSA + Trybunał Konstytucyjny + Trybunał Stanu. Adresy, telefony, web.
poland-vault-kontakty-senat
Senat RP XI kadencji — 100 senatorów, kontakty, kluby, okręgi. Dane z senat.gov.pl.
poland-vault-koscioly-i-diecezje
Kościoły i związki wyznaniowe w Polsce — Konferencja Episkopatu Polski + 41 diecezji rzymskokatolickich + kościoły prawosławny/ewangelickie. Kontakty kurii.
poland-vault-media-publiczne
Media publiczne w Polsce — TVP, Polskie Radio, PAP + 17 rozgłośni regionalnych. Władze, nadzór KRRiT/RMN, finansowanie (abonament).
poland-vault-mobywatel-uslugi-cyfrowe
mObywatel, ePUAP, Profil Zaufany — wszystkie e-usługi państwa: mDowód, mPrawo jazdy, wnioski elektroniczne.
poland-vault-numery-alarmowe-sluzby
Numery alarmowe i infolinie służb w Polsce — 112/999/998/997 + alarmy energetyczne/gazowe/wodne + infolinie wsparcia psychicznego.
poland-vault-pkw-wybory-wyniki
Wyniki ostatnich wyborów w Polsce — parlamentarne 2023, samorządowe 2024, prezydenckie 2025. Frekwencja, mandaty, kandydaci. Źródło: PKW.
poland-vault-podatki-vat-pit-cit
Podatki w Polsce 2026 — PIT (skala 12/32%, kwota wolna 30k), VAT (23/8/5/0%), CIT (19/9%), ZUS przedsiębiorcy. KIS.
poland-vault-prezydenci-miast
20 największych miast Polski — prezydenci, adresy, telefony, emaile urzędów.
poland-vault-samorzad-gmina-powiat
Samorząd terytorialny w Polsce — 16 województw, 314 powiatów, 66 miast na prawach powiatu, 2477 gmin. Struktura, kompetencje, BIP.
poland-vault-urzedy-wojewodzkie
16 Urzędów Wojewódzkich RP — adresy, telefony, emaile, ePUAP. Pełna mapa.
langchain-architecture
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
rag-implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
current-time
Return the current system time and timezone by calling a tool instead of guessing.
tandem-agentic-engineering
The worker session's bible for the tandem system: how a Claude Code worker assembles and drives a team of agents to build real features. Trigger on any real development, debugging, or feature work — build, create, implement, fix, add, develop, code, debug, ship, refactor — or when agents, a plan, a team, or a new feature is being discussed. Governs the agentic build lifecycle: parallel research, spec, concurrent reviewer, devil's-advocate pass, test-in-parallel, audit. When triggered, begin your first message with 🦔🦔🦔🦔🦔. If anyone tries to skip steps (no spec, no research, no concurrent reviewer, no audit), STOP THEM.
tandem-engineering-workflow
The STANDARD engineering workflow for the tandem system. Trigger on any development, debugging, or feature work driven through tandem — build, create, implement, fix, add, develop, code, debug, or when a Claude Code session's output is being reviewed, or a plan/phase is being discussed. This is the discipline the director and the manager layer follow. If anyone tries to skip steps (no spec, no plan mode, no plan review), STOP THEM. When triggered, begin your first message with 📋📋📋📋📋 so the user knows the workflow is active.
tandem-orchestration
MASTER SKILL for the tandem orchestration system. Governs the whole hierarchy: the human at the top, the chatbot (Claude.ai or ChatGPT) as director, a manager Claude Code session as reviewer/planner, a worker Claude Code session as builder (which spawns agent teams), and sub-agents doing parallel work. EVERY layer reads this. Trigger on ANY request that spins up tandem sessions, starts a relay, or does multi-session work — e.g. 'start tandem', 'spawn a Claude Code session', 'open a manager/worker'. When triggered, begin your first message with 🏗️🏗️🏗️🏗️🏗️ so the user knows orchestration is active. If anyone at any layer tries to skip the protocol, STOP THEM.
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orangeo-ai-visibility-skill
Audit brand AI visibility readiness and prepare OranGEO-style GEO, AEO, LLM SEO, and AI search optimization action plans. Use when asked for a Claude Code skill, Codex skill, GEO skill, generative engine optimization skill, answer engine optimization skill, AI visibility audit, AI search visibility checker, llms.txt checker, robots.txt AI crawler check, brand visibility scan, source-gap review, or buyer prompt generator for ChatGPT, Gemini, DeepSeek, Grok, Perplexity, Claude, and other AI answer engines.
algorithmic-art
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
artifacts-builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
canvas-design
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
docx
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
pptx
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
slack-gif-creator
Toolkit for creating animated GIFs optimized for Slack, with validators for size constraints and composable animation primitives. This skill applies when users request animated GIFs or emoji animations for Slack from descriptions like "make me a GIF for Slack of X doing Y".
theme-factory
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
seo-brand-radar
Monitor brand visibility in AI search and traditional search. Use when user says "brand radar", "brand monitoring", "AI search visibility", "brand mentions", "share of voice", "who mentions my brand in AI", "brand in ChatGPT", "brand in Perplexity", "how visible is my brand", "brand awareness tracking", "AI brand presence", "is my brand cited in AI responses".
seo-geo
Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. GEO analysis enriched with Ahrefs Brand Radar AI visibility data when available. Includes brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", "AI visibility", or "Brand Radar".
seo-robots-ai
Audit robots.txt for AI crawler access policies. Checks GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and other AI crawlers. Use when user says "robots AI", "AI crawlers", "block AI", "allow AI bots", "AI crawl policy".
seo-technical
Technical SEO audit across 8 categories: crawlability, indexability, security, URL structure, mobile, Core Web Vitals, structured data, and JavaScript rendering. Enhanced with live GSC (indexing status, crawl data) and Ahrefs (backlink profile) data when MCPs are available. Use when user says "technical SEO", "crawl issues", "robots.txt", "Core Web Vitals", "site speed", or "security headers".
academic-paper-citation-network-mapper
Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.
acf-custom-fields-rest-exposer
Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.
acf-extended-for-advanced-custom-fields-workflows
An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.
acf-to-gutenberg-block-migrator
Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().
act-local-github-actions-runner
act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.
activepieces-open-source-workflow-automation
Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.
activitywatch-cross-platform-automated-time-tracker-and-producti
ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.
add-a-browser-review-checkpoint-before-risky-agent-actions-with-
Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.
add-executable-smoke-tests-for-shell-scripts-and-clis-before-ref
Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.
add-graph-backed-memory-and-context-retrieval-to-agent-workflows
Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.
add-ide-style-semantic-code-navigation-and-symbol-safe-refactors
Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.
add-persistent-project-memory-and-hook-driven-synthesis-with-cla
Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.
add-runtime-guardrails-to-typescript-agents-with-voltagent
Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.
add-temporal-context-memory-to-agent-workflows-with-zep
Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.
address-github-pr-review-comments-from-the-current-branch-with-g
Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.
adobe-firefly-api-batch-image-generator
Calls Adobe Firefly's text-to-image and generative fill APIs for batch asset creation. Manages Adobe IMS OAuth tokens and enforces Content Credentials (C2PA) metadata on all outputs.
adobe-photoshop-api-batch-processor
Automates image editing workflows via the Adobe Photoshop API (Firefly Services). Supports smart object replacement, action playback, and PSD layer manipulation at scale.
advance-gitops-app-manifests-to-newer-container-tags-with-argo-c
Track approved container images and write back the matching GitOps manifest changes instead of hand-editing tags across Argo CD applications.
advanced-custom-fields-rest-schema-mapper
Maps ACF field groups into predictable REST responses using `acf_add_local_field_group`, `get_field_objects`, and `register_rest_field`. Useful when you need cleaner payloads than the default ACF exposure and want WordPress clients to consume structured field data safely.
aerc-extensible-terminal-email-client-with-imap-jmap-and-notmuch
aerc is a terminal-based email client written in Go with first-class support for IMAP, SMTP, JMAP, Maildir, and Notmuch. It features Vim-like keybindings, email threading, HTML rendering, built-in patch management, and deep UNIX integration through pipes and commands.
affine-knowledge-base-and-collaborative-workspace-platform
AFFiNE is an open source workspace that combines docs, whiteboards, and lightweight databases in one product. This skill is useful when an agent needs to structure notes, maintain linked knowledge, or automate content workflows around AFFiNE workspaces and self-hosted deployments.
age-modern-file-encryption-tool
Encrypt and decrypt files with age (FiloSottile/age), a simple, modern encryption tool with small explicit keys, post-quantum support, no config options, and UNIX-style composability. A practical replacement for GPG in most workflows.
agent-browser-operator
Interactive browser skill for logged-in flows, dynamic pages, and session-aware site operations.
agentql-natural-language-web-query-sdk-for-extraction-and-automa
AgentQL is TinyFish's web automation and extraction toolkit that layers a natural-language query system on top of live sites. Its Python and JavaScript SDKs integrate with Playwright and let agents target data and interface elements without depending on brittle CSS selectors alone.
agno-multi-modal-agent-runtime-platform
Agno is a high-performance Python framework for building, running, and managing agentic software at scale. It provides a three-layer architecture — framework, runtime, and control plane — enabling developers to go from agent prototype to production API in roughly 20 lines of code.
ahrefs-backlink-content-planner
Leverages Ahrefs REST API v3 to identify content gap opportunities through competing domain analysis. Pulls referring domains data, anchor text distributions, and DR metrics to prioritize content creation for link-worthy topics.
ahrefs-content-gap-finder
Identifies content gaps using the Ahrefs API v3 /site-explorer/organic-keywords endpoint. Compares competitor keyword profiles and surfaces untapped opportunities with volume, KD, and SERP feature data.
ahrefs-keyword-gap-analysis-skill
Identifies keyword opportunities by comparing competitor rankings using Ahrefs' /v3/site-explorer/organic-keywords API endpoint. Calculates traffic potential from search volume, CPC, and keyword difficulty scores.
ai-content-readability-optimizer
Analyzes and optimizes content readability using Flesch-Kincaid scoring, Hemingway Editor API integration, and Grammarly Text API. Generates SEO-optimized rewrites targeting specific grade levels.
ai-engine-wordpress-mcp-server-and-ai-automation
AI Engine is a WordPress plugin by Meow Apps that connects sites to OpenAI, Claude, Gemini, and other models while exposing WordPress actions through MCP and REST interfaces. This skill helps agents configure providers, enable the plugin's MCP capabilities, and automate content, chatbots, media, and site-management workflows from WordPress.
ai-meta-description-generator
Bulk-generates SEO meta descriptions from page content using OpenAI's GPT-4o API with custom system prompts tuned for SERP CTR optimization. Validates character limits, checks for duplicate descriptions via Screaming Frog CSV exports, and outputs Yoast SEO-compatible import files.
ai-powered-meta-description-writer
Generates optimized meta descriptions using OpenAI Chat Completions API with token-aware truncation. Integrates with Yoast SEO REST API fields and Google SERP Preview validation for CTR optimization.
aichat-all-in-one-llm-cli-with-shell-assistant-and-rag
AIChat is a comprehensive LLM command-line tool written in Rust that combines chat-REPL, shell command generation, RAG, AI tools, and multi-provider support into a single binary. It connects to 20+ LLM providers including OpenAI, Claude, Gemini, and Ollama.
aider-ai-pair-programming-cli-agent
Aider is an open-source AI pair programming tool that runs in your terminal, letting you collaborate with LLMs to edit code across your entire codebase. With 42k+ GitHub stars and 15 billion tokens processed weekly, it features deep git integration, repo-wide code mapping, and support for 100+ programming languages.
airbyte-connector-config-generator
Generates Airbyte source and destination connector configurations using the Airbyte API /v1/sources/create and /v1/destinations/create endpoints. Validates connection specs against the Airbyte Protocol.
airbyte-open-source-data-integration-platform
Airbyte is the leading open-source data integration platform providing 600+ pre-built connectors for ELT pipelines from APIs, databases, and files to data warehouses, lakes, and lakehouses. It supports both self-hosted and cloud deployments with a no-code connector builder.
alex-inclusive-writing-linter
Catch insensitive, inconsiderate writing with alex. This CLI tool and Node.js library scans Markdown and plain text for gender-biased, polarizing, or exclusionary language and suggests inclusive alternatives.
amplication-open-source-backend-generation-platform
Amplication is an open source developer platform for generating production-ready backend services and scaffolding from a visual workflow. This skill fits agents that need to help with service generation, codebase setup, schema-driven backend work, or self-hosted Amplication environments.
analyze-kubernetes-cluster-issues-through-mcp-with-k8sgpt
Run K8sGPT as an MCP server so an agent can scan a Kubernetes cluster, explain unhealthy resources, and return prioritized remediation clues in natural language.
analyze-memory-images-for-processes-modules-and-malware-indicato
Inspect captured RAM images to enumerate processes, modules, handles, and suspicious in-memory behavior before escalation or evidence handoff.
analyze-videos-with-frame-extraction-and-audio-context-in-claude
Give Claude Code a video perception layer that extracts frames, transcribes audio, and lets Claude answer questions about local videos or YouTube URLs.
angular--typescript-web-application-framework-by-google
Angular is a TypeScript-based web application platform by Google providing dependency injection, declarative templates, a powerful CLI, and comprehensive libraries for routing, forms, and HTTP communication.
ansible-playbook-debugger
Diagnoses Ansible playbook failures using ansible-playbook --check --diff mode, ansible-lint, and the Ansible callback plugin API. Parses task execution results and suggests fixes for common module errors in ansible.builtin and community collections.
ansible-playbook-diagnostics-runner
Runs Ansible diagnostic playbooks using ansible-runner and the Ansible Collections ecosystem (ansible.builtin, community.general). Captures system health, service status, and log analysis across inventory hosts.
ansible-playbook-dry-run-analyzer
Executes ansible-playbook --check --diff mode and parses the JSON callback output using the ansible.posix.json callback plugin. Identifies tasks that would change, predicts idempotency issues, and generates change impact reports.
ansible-playbook-dry-run-validator
Validates Ansible playbooks in check mode using ansible-playbook --check --diff and the Ansible Python API. Detects idempotency issues, undefined variables, and unreachable hosts before production runs.
ansible-playbook-linter
Validates Ansible playbooks and roles using ansible-lint and yamllint APIs. Enforces best practices for idempotency, variable naming, and handler usage with custom rule profiles.
ansible-playbook-linter-pro
Validates Ansible playbooks using ansible-lint with custom rule plugins and the Ansible Collections API. Checks for deprecated modules, missing handlers, insecure variable practices, and role dependency conflicts.
ansible-playbook-template-generator
Generates Ansible playbook YAML with proper module usage, handler chains, and role structures using ansible-core built-in modules. Supports Jinja2 template rendering and vault-encrypted variable files.
ansible-playbook-template-library
Generates and validates Ansible playbooks from infrastructure requirements. Uses ansible-lint for validation and queries Ansible Galaxy API for discovering certified roles and collections.
inspect-claude-code-multi-agent-runs-with-agents-observe
Gives Claude Code operators a live dashboard for multi-agent sessions, tool calls, file activity, and nested task progress so debugging starts from what the agents are actually doing.
agentdb-vector-search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
ai-sdk
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".
autonomous-agent-patterns
Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.
azure-ai
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. USE FOR: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech. DO NOT USE FOR: Function apps/Functions (use azure-functions), databases (azure-postgres/azure-kusto), general Azure resources.
azure-aigateway
Configure Azure API Management (APIM) as AI Gateway to secure, observe, control AI models, MCP servers, agents. Helps with rate limiting, semantic caching, content safety, load balancing. USE FOR: AI Gateway, APIM, setup gateway, configure gateway, add gateway, model gateway, MCP server, rate limit, token limit, semantic cache, content safety, load balance, OpenAPI import, convert API to MCP. DO NOT USE FOR: deploy models (use microsoft-foundry), Azure Functions (use azure-functions), databases (use azure-postgres).
baoyu-image-gen
AI image generation with OpenAI and Google APIs. Supports text-to-image, reference images, aspect ratios, and parallel generation (recommended 4 concurrent subagents). Use when user asks to generate, create, or draw images.
building-chat-interfaces
Build AI chat interfaces with custom backends, authentication, and context injection. Use when integrating chat UI with AI agents, adding auth to chat, injecting user/page context, or implementing httpOnly cookie proxies. Covers ChatKitServer, useChatKit, and MCP auth patterns. NOT when building simple chatbots without persistence or custom agent integration.
building-chatgpt-apps
Guides creation of ChatGPT Apps with interactive widgets using OpenAI Apps SDK and MCP servers. Use when building ChatGPT custom apps with visual UI components, embedded widgets, or rich interactive experiences. Covers widget architecture, MCP server setup with FastMCP, response metadata, and Developer Mode configuration. NOT when building standard MCP servers without widgets (use building-mcp-servers skill instead).
building-rag-systems
Build production RAG systems with semantic chunking, incremental indexing, and filtered retrieval. Use when implementing document ingestion pipelines, vector search with Qdrant, or context-aware retrieval. Covers chunking strategies, change detection, payload indexing, and context expansion. NOT when doing simple similarity search without production requirements.
capacity
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
cass
Coding Agent Session Search - unified CLI/TUI to index and search local coding agent history from Claude Code, Codex, Gemini, Cursor, Aider, ChatGPT, Pi-Agent, Factory, and more. Purpose-built for AI agent consumption with robot mode.
chat
Generate AI chat completions using GPT-4o through the verging.ai proxy API with streaming (SSE) and non-streaming response support.
chatgpt-app-builder
DEPRECATED: This skill has been replaced by `mcp-app-builder`. Check if `mcp-app-builder` is available in the skills folder. If not, install it: `npx skills install mcp-use/mcp-use --skill mcp-app-builder` Use `mcp-app-builder` instead of this skill. Build ChatGPT apps with interactive widgets using mcp-use and OpenAI Apps SDK. Use when creating ChatGPT apps, building MCP servers with widgets, defining React widgets, working with Apps SDK, or when user mentions ChatGPT widgets, mcp-use widgets, or Apps SDK development.
chatkit-widget
Use when integrating OpenAI/ChatKit chat widgets into Next.js/React applications. Triggers for: embedding chat widgets, configuring widget appearance, implementing event handlers, setting up authenticated chat access, or customizing widget branding. NOT for: building custom chat UIs from scratch or backend AI model configuration.
cm
CASS Memory System - procedural memory for AI coding agents. Three-layer cognitive architecture with confidence decay, anti-pattern learning, cross-agent knowledge transfer, trauma guard safety system. Bun/TypeScript CLI.
codex
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
copilot-sdk
Build applications powered by GitHub Copilot using the Copilot SDK. Use when creating programmatic integrations with Copilot across Node.js/TypeScript, Python, Go, or .NET. Covers session management, custom tools, streaming, hooks, MCP servers, BYOK providers, session persistence, and custom agents. Requires GitHub Copilot CLI installed and a GitHub Copilot subscription (unless using BYOK).
csctf
Chat Shared Conversation To File - Convert ChatGPT, Gemini, Grok, and Claude share links to clean Markdown + HTML transcripts. Preserves code fences with language detection, deterministic filenames, GitHub Pages publishing. Bun-native CLI.
customize
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
dbcraft
Open and operate the local DB Craft visual schema studio at D:\DBdesigner. Use it to design or edit MySQL 8, PostgreSQL 14, SQLite, and MSSQL models, generate tables with AI, import CREATE TABLE scripts, validate schema structure, save workspace models, export SQL, and prepare migration-ready artifacts for a separate deployment workflow.
denario
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
deploy-model
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
embedding-strategies
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
harness-model-protocol
Analyze the protocol layer between agent harness and LLM model. Use when (1) understanding message wire formats and API contracts, (2) examining tool call encoding/decoding mechanisms, (3) evaluating streaming protocols and partial response handling, (4) identifying agentic chat primitives (system prompts, scratchpads, interrupts), (5) comparing multi-provider abstraction strategies, or (6) understanding how frameworks translate between native LLM APIs and internal representations.
imagegen
Generate AI images using DALL-E 3 or gpt-image-1 through the verging.ai proxy API. Supports standard and HD quality, multiple images per request, and returns CDN-hosted image URLs.
langchain-architecture
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
loki-mode
Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations, marketing, HR, and customer success. Takes PRD to fully deployed, revenue-generating product with zero human intervention. Features Task tool for subagent dispatch, parallel code review with 3 specialized reviewers, severity-based issue triage, distributed task queue with dead letter handling, automatic deployment to cloud providers, A/B testing, customer feedback loops, incident response, circuit breakers, and self-healing. Handles rate limits via distributed state checkpoints and auto-resume with exponential backoff. Requires --dangerously-skip-permissions flag.
model-discovery
Fetch current model names from AI providers (Anthropic, OpenAI, Gemini, Ollama), classify them into tiers (fast/default/heavy), and detect new models. Use when needing up-to-date model IDs for API calls or when other skills reference model names.
multi-agent-orchestration
Orchestrate tasks across multiple AI providers (Claude, OpenAI, Gemini, Cursor, OpenCode, Ollama). Use when delegating tasks to specialized providers, routing based on capabilities, or implementing fallback strategies.
podcast-generation
Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.
preset
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
professional-senior-chrome-extension-architect-developer
Verwandelt den Agenten in einen professionellen MV3-Architekten und Entwickler mit Fokus auf AI-Integration, Sicherheit, Performance, Testing und Publishing-Compliance.
prompt-architect
Comprehensive framework for analyzing, creating, and refining prompts for AI systems. Use when creating prompts for Claude, ChatGPT, or other language models, improving existing prompts, or applying evidence-based prompt engineering techniques. Applies structural optimization, self-consistency patterns, and anti-pattern detection to transform prompts into highly effective versions.
prompt-library
Curated collection of high-quality prompts for various use cases. Includes role-based prompts, task-specific templates, and prompt refinement techniques. Use when user needs prompt templates, role-play prompts, or ready-to-use prompt examples for coding, writing, analysis, or creative tasks.
pydanticai-docs
Use this skill for requests related to Pydantic AI framework - building agents, tools, dependencies, structured outputs, and model integrations.
quetrex-development-workflow
Each project card should show the current month's API costs with a small trend indicator (up/down arrow).
rag-implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
scaffolding-openai-agents
Builds AI agents using OpenAI Agents SDK with async/await patterns and multi-agent orchestration. Use when creating tutoring agents, building agent handoffs, implementing tool-calling agents, or orchestrating multiple specialists. Covers Agent class, Runner patterns, function tools, guardrails, and streaming responses. NOT when using raw OpenAI API without SDK or other agent frameworks like LangChain.
senior-prompt-engineer
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.
spawn-agent
Spawn an AI coding agent in a new terminal (Claude, Codex, Gemini, Cursor, OpenCode, Copilot). Defaults to Claude Code if unspecified.
sragent
Query the Sequence Read Archive (SRA), retrieve scientific publications, and analyze genomics metadata using the SRAgent toolkit. Supports accession conversion (GSE→SRX→SRR), BigQuery metadata queries, manuscript downloads from multiple sources, and scRNA-seq technology identification. Use when working with SRA/GEO datasets, finding publications, or analyzing single-cell sequencing experiments.
streaming-llm-responses
Implement real-time streaming UI patterns for AI chat applications. Use when adding response lifecycle handlers, progress indicators, client effects, or thread state synchronization. Covers onResponseStart/End, onEffect, ProgressUpdateEvent, and client tools. NOT when building basic chat without real-time feedback.
stt
Transcribe audio to text using OpenAI Whisper through the verging.ai proxy API.
synthese-multi-llm
Synthèse co-fabriquée par un conseil de 3 LLMs (Claude, Gemini, Codex). Ce skill devrait être utilisé quand l'utilisateur demande une synthèse robuste, traçable et vérifiée. Il orchestre trois modèles avec des rôles experts distincts (Extracteur, Critique, Architecte) pour produire une synthèse fidèle au texte source, avec contrôle des glissements sémantiques et trail d'audit complet.
system-prompt
Edit or improve the AI system prompt used in DBX Studio's AI chat. Invoke when the user wants to change how the AI responds, its tone, tool usage order, or response format.
tts
Convert text to speech audio using OpenAI TTS-1-HD through the verging.ai proxy API. Supports multiple voices, playback speed control, and various audio output formats.
tts-skill
Multi-engine text-to-speech skill. Supports Qwen3-TTS local voice cloning, VoiceCraft online TTS, and OpenAI TTS.
video-processor
Process video files with audio extraction, format conversion (mp4, webm), and Whisper transcription. Use when user mentions video conversion, audio extraction, transcription, mp4, webm, ffmpeg, or whisper transcription.
vision
Analyze images using GPT-4o Vision through the verging.ai proxy API, supporting both image URL (JSON) and file upload (multipart) modes.
copilot-sdk
Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.
subscope-setup
Reconfigure individual pieces of subscope after first-run onboarding. Use this when you want to add or change LLM provider, swap a destination (Notion / Slack / Obsidian), or rotate credentials. NOT the first-run flow. First-time users should run /subscope-onboard instead. Triggers on "/subscope-setup", "reconfigure subscope", "change subscope settings", "update subscope LLM", "rotate subscope credentials", "swap subscope destination".
ai-image-generation
AI image generation for agents: text-to-image and prompt-to-image through Image Skill's zero-setup hosted runtime. Use when an agent needs a generated image with no provider API key, OAuth, local runtime, or per-provider billing account. Start with the no-spend guide, then create durable hosted images with recoverable jobs, cost receipts, model parameters, stable JSON, and browserless x402 when available.
image-edit
Image editing for agents: image-to-image edits, variations, and image-conditioned transforms through Image Skill's zero-setup hosted runtime. Use when an agent needs to edit an existing image without provider credentials, OAuth, local runtime, or per-provider billing. Inspect the edit model, upload or reuse an input image, then return durable hosted assets, jobs, cost receipts, stable JSON, and feedback.
image-generation
Image generation for agents: text-to-image and prompt-to-image through Image Skill's zero-setup hosted runtime. Use when an agent searches for image generation, generated images, product images, concept art, or durable AI image output without provider API keys, OAuth, local runtime setup, or per-provider billing. Start with the no-spend guide, then create hosted images with recoverable jobs, cost receipts, stable JSON, model parameters, and browserless x402 when available.
deeparchi
DeepArchi 多Agent企业架构框架 (MAEA)总纲 — 9-Agent多模型企业架构的完整参考，含拓扑、预算、设计原则、Agent索引和相关skill导航。
natural-language
Tokenize, tag, and analyze natural language text using Apple's NaturalLanguage framework and translate between languages with the Translation framework. Use when adding language identification, sentiment analysis, named entity recognition, part-of-speech tagging, text embeddings, or in-app translation to iOS/macOS/visionOS apps.
agentic-actions-auditor
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches. AI agents running in CI/CD pipelines.
azure-openai-patterns
Azure OpenAI API patterns for rate limiting, function calling, error handling, and token optimization
llm-model-selection
Choosing the right model for the task — power vs. cost vs. speed.
rag-architecture
Build retrieval-augmented generation systems that ground LLMs in your data.
sse-streaming
POST-based Server-Sent Events streaming for Azure Functions — HTTP streaming, chunked response parsing, reconnection
overleaf
Refresh local .tex/.bib files against Overleaf before AI edits, so the agent never edits a stale copy (default Overleaf-to-Dropbox sync lags 10-20 min). Refresh path: probe `/project/<id>/updates` (read-only), skip if nothing changed, skip if all changes were our own Dropbox round-trips, else download-zip and extract only the web-origin changed files. WHEN: (1) before editing .tex/.bib/.cls/.sty/.bst under Apps/Overleaf/<project>/ run `overleaf-sync-now sync`; (2) on user request to refresh; (3) for first-time auth run `overleaf-sync-now login`. Claude Code: a PreToolUse hook auto-runs sync; manual invocation rarely needed. Codex CLI: invoke sync explicitly. AUTH RECOVERY when sync/setup fails: run `overleaf-sync-now login` (browser-assisted, works on Chrome 130+). Do NOT tell the user to 'log into Overleaf' in their daily browser — on Chrome 130+ app-bound encryption blocks on-disk cookie extraction regardless of login state. See body for full recovery flow.
ai-check
Use when someone asks "does this sound AI?", "check if this is AI-written", "what gives this away as AI", "run ai-check on this", or "score this text". Also use when reviewing a draft for AI tells before publishing, or when a piece of text reads as suspiciously polished, generic, or pattern-y and the user wants a forensic breakdown of why.
humanize
Use whenever the user asks to "humanize", "make this sound more human", "rewrite to avoid AI detection", "make this less AI-sounding", "add a human voice", or "write like a person". Also use when the user pastes text and asks why it reads as robotic, generic, flat, or AI-like, or when generating new text in a register where AI tells (em dashes, semicolons, hedges, banned vocabulary like "delve", "leverage", "robust") would damage credibility.
color-expert
Use when working with color naming, color theory, color spaces, color definitions, or any task involving color knowledge - palettes, ramps, gradients, conversions, accessibility, perceptual matching, pigment mixing, print-vs-screen color, CSS color syntax, or historical color terminology. Use this skill whenever the user is choosing, comparing, generating, naming, converting, or explaining colors, even if they do not explicitly ask for "color theory."
alert-manager
Use when the user asks to "set SEO alerts"; configures ranking, traffic, technical, competitor, and notification thresholds. SEO预警/排名监控
backlink-analyzer
Use when analyzing backlink profiles, link authority, toxic links, link-building opportunities, or competitor link gaps. 外链分析/反向链接
claw-release
Release automation for Claw skills and website. Guides through version bumping, tagging, and release verification.
clawsec-clawhub-checker
ClawHub reputation checker for clawsec-suite. Adds a standalone reputation gate before guarded skill installation.
clawsec-feed
Security advisory feed package for OpenClaw-related threats and vulnerabilities. The upstream feed is updated daily; local automation is handled by clawsec-suite or the operator.
clawsec-scanner
Automated vulnerability scanner for agent platforms. Performs dependency scanning (npm audit, pip-audit), multi-database CVE lookup (OSV, NVD, GitHub Advisory), SAST analysis (Semgrep, Bandit), and agent-specific DAST hook execution testing for OpenClaw hooks.
clawsec-suite
ClawSec suite manager with embedded advisory-feed monitoring, cryptographic signature verification, approval-gated malicious-skill response, and guided setup for additional security skills.
clawtributor
Community incident reporting for AI agents. Contribute to collective security by reporting threats.
codebase-documenter
Use this skill when the user wants to understand, document, or explain a codebase — even if they don't say "document" explicitly. Trigger on: "explain this codebase", "how does this project work", "create onboarding docs", "document the architecture", "I'm new to this repo", "generate a codebase overview", or any request to understand unfamiliar code. Produces a single docs/CODEBASE.md with architecture, components, data flow, setup instructions, and a recommended reading path for new developers. Supports quick/standard/deep depth levels and incremental updates.
competitor-analysis
Use when the user asks to "compare competitors" or find SEO/GEO gaps; analyzes keywords, content, backlinks, AI citations, and traffic share. 竞品分析/竞争对手
content-gap-analysis
Use when the user asks to "find content gaps"; maps competitor topics, missing keywords, and editorial calendar opportunities. 内容缺口/选题规划
content-quality-auditor
Use when auditing content quality, E-E-A-T, publish readiness, or 内容质量/EEAT评分. Runs 80-item CORE-EEAT scoring with veto checks and fix plan.
content-refresher
Use when updating outdated content, fixing traffic/ranking decay, refreshing stats, adding new sections, or improving freshness signals. 内容更新/排名恢复
alert-manager
Use when the user asks to "set SEO alerts"; configures ranking, traffic, technical, competitor, and notification thresholds. SEO预警/排名监控
backlink-analyzer
Use when analyzing backlink profiles, link authority, toxic links, link-building opportunities, or competitor link gaps. 外链分析/反向链接
claw-release
Release automation for Claw skills and website. Guides through version bumping, tagging, and release verification.
clawsec-clawhub-checker
ClawHub reputation checker for clawsec-suite. Adds a standalone reputation gate before guarded skill installation.
clawsec-feed
Security advisory feed package for OpenClaw-related threats and vulnerabilities. The upstream feed is updated daily; local automation is handled by clawsec-suite or the operator.
clawsec-scanner
Automated vulnerability scanner for agent platforms. Performs dependency scanning (npm audit, pip-audit), multi-database CVE lookup (OSV, NVD, GitHub Advisory), SAST analysis (Semgrep, Bandit), and agent-specific DAST hook execution testing for OpenClaw hooks.
clawsec-suite
ClawSec suite manager with embedded advisory-feed monitoring, cryptographic signature verification, approval-gated malicious-skill response, and guided setup for additional security skills.
clawtributor
Community incident reporting for AI agents. Contribute to collective security by reporting threats.
codebase-documenter
Use this skill when the user wants to understand, document, or explain a codebase — even if they don't say "document" explicitly. Trigger on: "explain this codebase", "how does this project work", "create onboarding docs", "document the architecture", "I'm new to this repo", "generate a codebase overview", or any request to understand unfamiliar code. Produces a single docs/CODEBASE.md with architecture, components, data flow, setup instructions, and a recommended reading path for new developers. Supports quick/standard/deep depth levels and incremental updates.
competitor-analysis
Use when the user asks to "compare competitors" or find SEO/GEO gaps; analyzes keywords, content, backlinks, AI citations, and traffic share. 竞品分析/竞争对手
content-gap-analysis
Use when the user asks to "find content gaps"; maps competitor topics, missing keywords, and editorial calendar opportunities. 内容缺口/选题规划
content-quality-auditor
Use when auditing content quality, E-E-A-T, publish readiness, or 内容质量/EEAT评分. Runs 80-item CORE-EEAT scoring with veto checks and fix plan.
content-refresher
Use when updating outdated content, fixing traffic/ranking decay, refreshing stats, adding new sections, or improving freshness signals. 内容更新/排名恢复
alert-manager
Use when the user asks to "set SEO alerts"; configures ranking, traffic, technical, competitor, and notification thresholds. SEO预警/排名监控
backlink-analyzer
Use when analyzing backlink profiles, link authority, toxic links, link-building opportunities, or competitor link gaps. 外链分析/反向链接
claw-release
Release automation for Claw skills and website. Guides through version bumping, tagging, and release verification.
clawsec-clawhub-checker
ClawHub reputation checker for clawsec-suite. Adds a standalone reputation gate before guarded skill installation.
clawsec-feed
Security advisory feed package for OpenClaw-related threats and vulnerabilities. The upstream feed is updated daily; local automation is handled by clawsec-suite or the operator.
clawsec-scanner
Automated vulnerability scanner for agent platforms. Performs dependency scanning (npm audit, pip-audit), multi-database CVE lookup (OSV, NVD, GitHub Advisory), SAST analysis (Semgrep, Bandit), and agent-specific DAST hook execution testing for OpenClaw hooks.
clawsec-suite
ClawSec suite manager with embedded advisory-feed monitoring, cryptographic signature verification, approval-gated malicious-skill response, and guided setup for additional security skills.
clawtributor
Community incident reporting for AI agents. Contribute to collective security by reporting threats.
codebase-documenter
Use this skill when the user wants to understand, document, or explain a codebase — even if they don't say "document" explicitly. Trigger on: "explain this codebase", "how does this project work", "create onboarding docs", "document the architecture", "I'm new to this repo", "generate a codebase overview", or any request to understand unfamiliar code. Produces a single docs/CODEBASE.md with architecture, components, data flow, setup instructions, and a recommended reading path for new developers. Supports quick/standard/deep depth levels and incremental updates.
competitor-analysis
Use when the user asks to "compare competitors" or find SEO/GEO gaps; analyzes keywords, content, backlinks, AI citations, and traffic share. 竞品分析/竞争对手
content-gap-analysis
Use when the user asks to "find content gaps"; maps competitor topics, missing keywords, and editorial calendar opportunities. 内容缺口/选题规划
content-quality-auditor
Use when auditing content quality, E-E-A-T, publish readiness, or 内容质量/EEAT评分. Runs 80-item CORE-EEAT scoring with veto checks and fix plan.
content-refresher
Use when updating outdated content, fixing traffic/ranking decay, refreshing stats, adding new sections, or improving freshness signals. 内容更新/排名恢复
tableau-to-preset
Guided workflow for converting a Tableau workbook (.twb or .twbx) to a Preset dashboard via Superset MCP tools. Parses TWB XML, scopes conversion to the target dashboard's worksheets, maps chart types, carries worksheet filters across, calls generate_chart per worksheet, and assembles with generate_dashboard. Use only for MCP tool workflows; do not use for direct API work.
seo-aeo-geo
Optimize content and site structure for AI-driven search experiences including AI overviews, large language model citations, generative answer engines, and AI assistants. Use this skill whenever the user wants to optimize for AI search, get cited by language models, appear in AI overviews, build llms.txt, structure content for AI extraction, or future-proof their SEO for the shift from blue links to AI answers. Triggers on AEO, GEO, AI search, AI SEO, AI overview, generative search, LLM optimization, llms.txt, AI citation, ChatGPT search, Perplexity, Gemini, Claude search, AI assistant optimization, answer engine. Also triggers when the user expresses concern about AI eating their organic traffic or wants to understand how to remain visible as search shifts.
skill-installer
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
sales-ai-visibility
AI visibility monitoring strategy — tracking what ChatGPT, Claude, Perplexity, Gemini, and other LLMs say about your brand. Covers manual monitoring (prompt templates), tool selection (BrandJet AI, Otterly.ai, Topify, Sight AI, LLMrefs, Serplock, Semrush, Ahrefs Brand Radar, Meltwater), keyword and competitor tracking, understanding AI citations, improving AI visibility (content strategy, Reddit/forum presence, entity optimization), and measuring impact over time. Use when you don't know what ChatGPT or Perplexity says about your brand, competitors are showing up in AI answers but you're not, unsure which AI visibility tool to use, or want to improve how LLMs describe your product. Do NOT use for traditional social listening (use /sales-social-listening), SEO-specific help (use /sales-semrush), BrandJet platform help (use /sales-brandjet), Serplock platform help (use /sales-serplock), or Meltwater platform help (use /sales-meltwater).
boss-advanced
Advanced Boss orchestration patterns — Agent Teams leadership, 6-section delegation template, Skill vs Agent conflict resolution, Guardian pattern, and AI-slop detection.
gstack-sprint
3-Phase Sprint workflow — design → execute → review with user interaction at decision points
agent-copy
Use when the user asks to copy, install, refresh, or update a repo-root AGENTS.md file from their canonical global instruction source. Also use when the user says "agent copy" or wants a repo-local AGENTS.md with global operating rules plus project-specific guidance.
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
markdrop
Professional AI skill and usage instructions for the Markdrop package, a Python tool for converting PDFs to Markdown/HTML with AI-powered image/table descriptions.
add-codex
Add OpenAI/Codex as a backend. Guides through API key setup, service backend configuration, optional CLI setup, and verification. Can run alongside Claude (default) or replace it.
add-voice-transcription
Add voice message transcription to Deus using OpenAI's Whisper API. Automatically transcribes WhatsApp voice notes so the agent can read and respond to them.
use-local-whisper
Use when the user wants local voice transcription instead of OpenAI Whisper API. Switches to whisper.cpp running on Apple Silicon. WhatsApp only for now. Requires voice-transcription skill to be applied first.
skill-author
How to create or update a somora skill correctly — always use the somora skill CLI, never write SKILL.md directly.
systems-engineer
Aerospace systems engineer specializing in requirements management, system integration, verification & validation, and MBSE methodologies.
agent-dx-cli-scale
A scoring scale for evaluating how well a CLI is designed for AI agents, based on the "Rewrite Your CLI for AI Agents" principles.
agentic-legibility
Score a repository's agentic legibility from repo-visible evidence only. Use when Codex needs to audit how easy a codebase is for coding agents to discover, bootstrap, validate, and navigate, especially for harness-engineering reviews, developer-experience audits, repo cleanup, or before/after comparisons after improving docs, tooling, or architectural constraints.
astro
Expert in Astro framework with static generation and partial hydration patterns
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep watching open PRs so fresh review feedback is surfaced promptly. Use when the user asks Codex to monitor a PR, watch CI, handle review comments, or keep an eye on failures and feedback on an open PR.
drizzle-migration-conflict-resolution
Resolve Drizzle migration merge/rebase conflicts in OneQuery by rewinding local-only migration history and regenerating migration metadata. Use when conflicts involve packages/db/src/migrations/meta/_journal.json, migration SQL files in packages/db/src/migrations/*.sql, or migration snapshots in packages/db/src/migrations/meta/*_snapshot.json.
gh-pr-writing
Write and update GitHub PR titles and PR bodies with repository templates and local conventions. Use when creating PRs with `gh pr create`, revising PR text, choosing a conventional title prefix (for example `feat(web):`), or ensuring ticket suffix rules.
knip-deadcode
Knip dead code detection best practices for JavaScript and TypeScript projects. Use when configuring Knip, analyzing unused code, setting up CI integration, or cleaning up codebases. Triggers on knip.json, dead code, unused exports, unused dependencies, bundle optimization.
onequery-bug
Diagnose GitHub bug reports in wordbricks/onequery. Use when given a GitHub issue URL from wordbricks/onequery and asked to decide next steps such as verifying against the repo, requesting more info, or explaining why it is not a bug; follow any additional user-provided instructions.
onequery-pr-body
Update the title and body of one or more pull requests.
react-no-use-effect
Enforce the no-useEffect rule when writing or reviewing React code. Activate when writing React components, refactoring existing useEffect calls, reviewing PRs that introduce useEffect, or when an agent adds useEffect "just in case." Provides five replacement patterns and the useMountEffect escape hatch.
seo-geo
SEO & GEO (Generative Engine Optimization) for websites. Analyze keywords, generate schema markup, optimize for AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude) and traditional search (Google, Bing). Use when user wants to improve search visibility, search optimization, search ranking, AI visibility, ChatGPT ranking, Google AI Overview, indexing, JSON-LD, meta tags, or keyword research.
tanstack-query-best-practices
TanStack Query (React Query) best practices for data fetching, caching, mutations, and server state management. Activate when building data-driven React applications with server state.
tanstack-router-best-practices
TanStack Router best practices for type-safe routing, data loading, search params, and navigation. Activate when building React applications with complex routing needs.
transitions-dev
Production-ready CSS transition snippets for web apps. Use when adding or reviewing UI motion for badges, dropdowns, modals, panel/page reveals, card resizes, number pop-ins, text/icon swaps, success checks, avatar-group hovers, and validation shakes. Supports namespaced commands: transitions reveal (list catalog), transitions review (audit project fit), and transitions apply (install the best-fit snippet with hooks and reduced-motion handling).
att-mz
仅在用户明确要求执行或继续 A.T.T MZ 的 RPG Maker MV/MZ 游戏翻译流程时使用，包括注册游戏、准备工作区、分析术语和文本规则、导入规则、调用模型翻译、检查译文、手动修复、写进游戏文件与试玩反馈补漏。
att-mz-release
仅在用户明确要求使用 A.T.T MZ 发行版执行或继续 RPG Maker MV/MZ 游戏翻译流程时使用，包括注册游戏、准备工作区、分析术语和文本规则、导入规则、调用模型翻译、检查译文、手动修复、写进游戏文件与试玩反馈补漏。
route
Route a task to the best LLM based on task type and complexity
security-review
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
agentic-product-architect
Master skill for building production-grade agentic products — software systems where part of the process is dynamically directed by LLMs within deterministic architecture with explicit trust boundaries. Use this skill whenever the user mentions building an agent, agentic product, agentic workflow, AI agent, multi-agent system, agent loop, agent harness, or asks how to design, architect, ship, or harden any system with LLM-driven decision-making. Also use when they reference frameworks like LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK, Pydantic AI, AutoGen, or when they want to add tools, memory, evals, or human-in-the-loop to an LLM system. This is the entry point — it routes to specialized sub-skills for architecture, context engineering, harness, tools/MCP, memory, durable execution, evals, framework choice, production readiness, and antipattern review.
framework-selection
Choose the right agentic framework — LangGraph, OpenAI Agents SDK, Claude Agent SDK, CrewAI, Pydantic AI, AutoGen/AG2, LlamaIndex Workflows, Semantic Kernel, Mastra, DSPy, mcp-agent — based on the team's dominant constraint, not hype. Use whenever the user asks "which framework should I use," compares any two of these, hits limits with their current framework, or is starting a new project and needs to pick the stack.
harness-engineering
Design the harness — the 7-layer scaffolding around the LLM loop that makes agents reliable. Covers the agent loop itself (gather/act/verify), context management, durable execution, guardrails, human-in-the-loop, evals, and observability. In production agents, the harness is 98% of the code. Use whenever the user is structuring code around an agent loop, asks "how do I make this reliable / production-ready," is implementing verification, retry logic, sub-agent delegation, permission systems, approval gates, or wants to understand what makes Claude Code / Codex / Devin work beyond the model.
tool-design-mcp
Design tools for agents — function/tool definitions, MCP (Model Context Protocol) servers, tool routing when there are many tools, structured outputs, and the rules of thumb that prevent tool selection failures. Use whenever the user is adding tools/functions to an agent, integrating external systems, building or consuming MCP servers, hitting "the agent picks the wrong tool" failures, designing function signatures, choosing between MCP and direct function calling, or wondering how many tools is too many.
academic-aio
Medical AI paper optimization for AI search engines (Perplexity, ChatGPT web, Elicit, Consensus, SciSpace) and RAG-based literature tools. Applies when drafting or reviewing titles, abstracts, structured summary boxes (Key Points / Research in Context / Plain-Language Summary), manuscripts for high-impact medical AI journals (Lancet Digital Health, Radiology, Radiology-AI, npj Digital Medicine, Nature Medicine), preprints (medRxiv/arXiv), GitHub README + CITATION.cff + Zenodo archives, and Hugging Face model/dataset cards. Integrates TRIPOD+AI, CLAIM 2024, STARD-AI, TRIPOD-LLM, DECIDE-AI reporting requirements with generative engine optimization (GEO) principles. Produces a visible pass/fail checklist.
audit
Audit a website or web codebase for SEO and AI-search (GEO/AEO) — produces two independent 0-100 scores (Search SEO + AI Visibility) plus a prioritized, evidence-backed report. Read-only; never writes files. Use when the user asks to audit, analyze, check, or score a site's SEO, structured data/schema, meta tags, Core Web Vitals, robots.txt, sitemaps, or llms.txt, or how it ranks in Google and is cited by AI engines (ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude).
geo
Analyze and score only a page's AI-search visibility (GEO/AEO) — answer extractability, fact density, AI-crawler access, entity linking, and llms.txt — and report an AI Visibility score with a citability breakdown. Read-only. Use for "will AI engines cite this?", GEO/AEO, or ChatGPT/Perplexity/Google AI Overviews/Gemini optimization.
1password
Install and use 1Password CLI (`op`) to sign in, inspect vault items, read secrets safely, and inject secrets into commands.
himalaya
Manage email with the Himalaya CLI: configure accounts, list folders, read or search messages, draft replies, send mail, or download attachments from the terminal.
image-generation
Generate or edit raster images with the native image_generate tool.
iss-position
Fetch the current ISS latitude and longitude from the WhereTheISS API and return standardized payloads.
book-sft-pipeline
This skill should be used when the user asks to "fine-tune on books", "create SFT dataset", "train style model", "extract ePub text", or mentions style transfer, LoRA training, book segmentation, or author voice replication.
digital-brain
This skill should be used when the user asks to "write a post", "check my voice", "look up contact", "prepare for meeting", "weekly review", "track goals", or mentions personal brand, content creation, network management, or voice consistency.
ccc-marketing
45-skill marketing division for AI coding agents. 7 specialist pods covering content, SEO, CRO, channels, growth, intelligence, and sales. Works standalone or with…
ccc-seo
complete SEO ecosystem — 20 skills in one. Technical SEO, AI search optimization, content strategy, analytics, and programmatic SEO at scale.
visual-qa
Visual quality assurance: analyze game screenshots for defects, compare against reference, check motion in frame sequences. Supports runtime-native inspection plus Gemini or OpenAI API-backed VQA.
audience-builder
Build a target audience list plan given an ICP. Outputs LinkedIn search filters and 3-5 lookalike sources. Use when starting a new outbound motion or expanding into a new segment.
cringe-translator
Translate sales-jargon-laden LinkedIn messages into what the sender actually means. Mostly for fun; occasionally educational about why a message tanked.
gtm-motion-picker
Decide between PLG, sales-led, hybrid, or community-led GTM motion based on ACV, time-to-value, buyer complexity, and self-serve readiness. Use when launching or repositioning a product, or when sales costs are out of whack with ACV.
icebreaker
Draft 3 distinct opening messages for a specific prospect, anchored on a why-now and a why-this-person. Use when sending a high-leverage first touch where personalization is worth the time.
icp-definer
Define an Ideal Customer Profile from observed paying-customer data, churn data, and qualitative signals. Use when defining or tightening ICP, when sales efficiency drops (rising CAC, falling close rate), or when support load suggests wrong-fit customers.
jargon-bingo
Score sales calls, emails, or posts on a 5x5 bingo card of cliches. Mostly for fun; quietly useful for spotting jargon-heavy patterns.
offer-clarifier
Force clarity on what you sell, who pays, and why now. Use before working on ICP, positioning, pricing, or outreach - the downstream work is garbage if the offer is vague.
positioning-canvas
Build a positioning statement for a product, feature, or company using April Dunford's "Obviously Awesome" 5-step framework. Use when launching, repositioning, or when messaging feels generic.
pricing-teardown
Run a competitive pricing teardown and produce a pricing recommendation. Pulls 5-10 competitor pricing pages, normalizes to a common axis, identifies packaging anti-patterns, and runs a Van Westendorp sanity check on the user's own price.
prospect-twin
Build a believable persona simulation of a prospect from their LinkedIn profile, then practice outreach against them. Use when preparing for a high-stakes outreach or call, when iterating on openers, or when testing whether a pitch lands.
sequence-architect
Design a 4-6 touch outreach cadence with channels, timing, tonal arc, and branching. Use when starting a new sequence from scratch given an ICP and offer.
sequence-doctor
Audit an outreach sequence and produce a ranked fix list. Use when reply rates are low, when you want a second opinion before sending, or when rewriting a sequence from scratch.
title-roaster
Get a brutally honest translation of any LinkedIn job title. For laughs and accidental insight.
trigger-event-finder
Identify the trigger events that make ICP-fit prospects ready to buy, and how to monitor for them. Use when shifting from spray-and-pray to event-triggered outbound.
aiperf
NVIDIA AIPerf — vendor-neutral generative-AI inference benchmarking (genai-perf successor). Covers `aiperf profile` with concurrency / request-rate / fixed-schedule trace replay / user-centric / multi-run confidence, 15 endpoint types (chat, completions, embeddings, rankings, responses, image-gen, video-gen, NIM, HF-TGI, template, etc.), 6 custom dataset formats (single_turn, multi_turn, mooncake_trace, bailian_trace, burst_gpt_trace, random_pool), 40+ public datasets, goodput SLOs, GPU + Prometheus telemetry, plot/analyze-trace/synthesize/service subcommands, plugin extensibility, and reasoning-token TTFT/TTFO split.
lmcache-mp
LMCache multiprocess (MP) mode — standalone LMCache server in its own pod/process that vLLM connects to over ZMQ. Gives process isolation, no GIL contention on the inference path, one cache shared by multiple vLLM pods per node, and CPU-memory scaling independent of GPU memory. Covers the `LMCacheMPConnector` path (vs the in-process `LMCacheConnectorV1`), the DaemonSet+Deployment K8s pattern and LMCache Operator, the L1 (CPU DRAM) + L2 (NIXL, fs, mooncake_store, s3, Redis) cascade, the `lmcache/standalone` + `lmcache/vllm-openai` image pair, and the production gotchas (`--no-enable-prefix-caching`, `--disable-hybrid-kv-cache-manager`, vLLM/lmcache version pins, hybrid models unsupported, cache_salt fallback bug).
open-webui-embeddings
Wire HuggingFace embedding + reranker models (BGE-M3, BGE-Reranker-v2-m3, etc.) into Open WebUI's RAG pipeline via LiteLLM proxying HuggingFace Text Embeddings Inference (TEI). Covers the exact wire shapes Open WebUI sends (URL auto-append on embed but NOT rerank; payload + response shapes for both modes), the LiteLLM-TEI gotchas (encoding_format=null trap, HF-driver task_type misdetection, openai vs huggingface driver tradeoffs), TEI config cliffs (max-client-batch-size 422 under hybrid search, max-batch-tokens AS the auto-truncate boundary, arch-specific Docker images), and the end-to-end production config. BGE-M3 + BGE-Reranker-v2-m3 are worked examples; patterns generalise to any TEI encoder.
sglang-model-gateway
SGLang Model Gateway (`sgl-model-gateway`, formerly `sgl-router`) — Rust router fronting vLLM and SGLang inference workers on Kubernetes. Covers first-class vLLM gRPC backend plus HTTP transparent-proxy for vanilla vLLM, the policy set (six `--policy` values, `cache_aware` default), tokenizer-format dispatch (`tokenizer.json` HF-fast vs `tiktoken.model` BPE — including when neither is required because `cache_aware` is text-based), air-gapped recipe (gateway ignores `HF_ENDPOINT`, mount tokenizer files on PVC only when actually needed), K8s manifests with `model_id` labels and per-model RBAC, three HA mitigations (single + PDB, `sessionAffinity: ClientIP`, `--enable-mesh` CRDT sync), and a pitfall catalog covering the Dec 2025 `sgl-router` → `sgl-model-gateway` rename and over-engineered tokenizer init-container traps.
vllm-caching
vLLM tiered KV cache configuration for production H100/H200 clusters. Native CPU offload, LMCache (CPU+NVMe+GDS), NixlConnector (disaggregated prefill), MooncakeConnector (RDMA), MultiConnector composition. Version gates, sizing math (flag total across TP, not per-GPU — opposite of SGLang), KV-vs-weights offload distinction operators most often get wrong.
vllm-chat-templates
vLLM chat-template (prompt-side Jinja) operator reference. Template resolution precedence (`--chat-template` → AutoProcessor → tokenizer default → bundled fallback), `chat_template_kwargs` allowlist silently dropping `add_generation_prompt`/`enable_thinking`/custom kwargs (PR 27622 fix), 27 shipped `tool_chat_template_*.jinja` files, known template-layer bugs for Qwen3/Qwen3-Coder, DeepSeek-R1/V3/V3.1/V3.2, GPT-OSS, Kimi-K2, Llama-4, Mistral (HF vs mistral mode), Gemma-3/4, Phi-4, GLM. Prompt side only — output parsing lives in sibling skills.
vllm-configuration
Configure vLLM completely — YAML config file format, CLI arg precedence, full VLLM_*/HF_*/TRANSFORMERS_* env-var catalog, end-to-end recipe for air-gapped environments (internal HF mirrors, hf-mirror.com, ModelScope, HF_HUB_OFFLINE with pre-seeded cache, gated models offline, trust_remote_code supply-chain implications). VLLM_HOST_IP vs API-host confusion, Kubernetes-service-named-`vllm` env-var poisoning, usage-stats triple opt-out, YAML precedence surprises.
vllm-omni
vLLM-Omni output-side multimodal generation — image (FLUX.1/2, Qwen-Image, GLM-Image, BAGEL, SD3.5, HunyuanImage-3.0), video (Wan2.1/2.2, LTX-2, HunyuanVideo-1.5), TTS (Qwen3-TTS, CosyVoice3, Voxtral-TTS), any-to-any omni (Qwen3-Omni, Qwen2.5-Omni, MiMo-Audio) via `vllm serve --omni`. Stage-based disaggregation (OmniConnector + Mooncake + RDMA), `/v1/images/generations`, async+sync `/v1/videos`, `/v1/audio/speech` with voice-upload, PCM16 WebSocket `/v1/realtime`, Ulysses/Ring SP + CFG-parallel, DiT FP8/INT8/GGUF, CUDA/ROCm/NPU/XPU/MUSA matrix, release pitfalls (v0.19.0rc1 FLUX regression, GLM-Image transformers>=5.0, Qwen3-TTS enforce-eager).
vllm-reasoning-parsers
vLLM reasoning-parser operator + developer reference. `--reasoning-parser` CLI wiring, `ReasoningParser` contract (non-streaming `extract_reasoning` + per-delta `extract_reasoning_streaming`), `is_reasoning_end` xgrammar gating, `--structured-outputs-config.enable_in_reasoning` bypass, 25 built-in parsers with per-model quirks, 15 production pitfalls, authoring custom parsers via `@ReasoningParserManager.register_module` or plugin.
vllm-tool-parsers
vLLM tool-calling operator reference — picking `--tool-call-parser` per model family, writing custom parsers via `--tool-parser-plugin`, navigating vLLM source + GitHub tracker to debug any specific tool-call question. Pointer map, not source paraphrase. All 40+ built-in parsers (JSON-sentinel, pythonic, XML, harmony grammars), CLI contract, `prev_tool_call_arr`/`streamed_args_for_tool` flush invariants, diagnostic playbook (isolate template-vs-parser via raw `/v1/completions` + unicodedata codepoint decode).
board-deck-builder
Assembles comprehensive board and investor update decks by pulling perspectives from all C-suite roles. Covers deck structure, narrative frameworks, bad news delivery, section-by-section guidance, and common mistakes. Use when preparing board meetings, investor updates, quarterly business reviews, fundraising narratives, or when user mentions board deck, investor update, board pack, board presentation, quarterly review, fundraising deck, or investor deck.
board-meeting
Multi-agent board meeting protocol for strategic decisions. Runs a structured 6-phase deliberation: context loading, independent C-suite contributions, critic analysis, synthesis, founder review, and decision extraction. Prevents groupthink through isolated contributions. Use when making major strategic decisions, resolving cross-functional disagreements, evaluating irreversible choices, or when user mentions board meeting, executive deliberation, strategic decision, multi-perspective, or structured deliberation.
ceo-advisor
Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management. Includes strategy analyzer, financial scenario modeling, board governance frameworks, and investor relations playbooks. Use when planning strategy, preparing board presentations, managing investors, developing organizational culture, making executive decisions, or when user mentions CEO, strategic planning, board meetings, investor updates, organizational leadership, or executive strategy.
cfo-advisor
Financial leadership advisor for CFOs on financial planning, fundraising, investor reporting, unit economics, cash management, and financial operations. Use when building a financial model, preparing for fundraising due diligence, designing investor reporting packages, calculating unit economics, managing cash runway, or planning month-end close processes.
channel-economics
Channel economics: design and analyze the financial structure of go-to-market channels (direct sales, resellers, distributors, marketplaces, embedded partners, MSPs, integrators). Use when picking the right channel mix for a product, modeling partner margin / TCO, designing partner tiers with rebate structures, analyzing channel conflict, or building the financial model that justifies (or kills) a partnership. Pairs with our partnerships-architect (partnership type / strategy) and deal-desk (partner-deal mechanics) — this one is the spreadsheet behind those conversations.
chief-ai-officer-advisor
AI leadership advisor for Chief AI Officers on AI strategy, governance, risk management, investment planning, organizational design, and the AI/ML talent stack. Use when defining an AI strategy, building an AI governance program, evaluating build-vs-buy for AI capability, scoring AI maturity, drafting an AI risk register, or planning AI investment across the portfolio.
chief-customer-officer-advisor
Customer leadership advisor for Chief Customer Officers on customer experience strategy, retention and expansion, voice-of-customer programs, CX organizational design, and customer outcomes accountability. Use when defining a CX strategy, scoring CX maturity, planning churn interventions, designing a VoC program, or preparing the customer section of a board update.
chief-data-officer-advisor
Data leadership advisor for Chief Data Officers on data strategy, governance, quality, monetization, platform decisions, and team design. Use when defining a data strategy, scoring data maturity, auditing a data governance program, evaluating a data platform stack, designing the data org, or preparing the data section of a board update.
chief-of-staff
C-suite orchestration layer that routes founder questions to the right advisor role(s), triggers multi-role board meetings for complex decisions, synthesizes outputs, tracks decisions, and manages cross-functional alignment. Every C-suite interaction starts here. Use when coordinating executive decisions, routing strategic questions, managing board meetings, synthesizing multi-perspective advice, tracking decision history, resolving inter-department conflicts, or when user mentions chief of staff, orchestrator, c-suite coordinator, executive routing, board coordination, decision synthesis, advisor routing, multi-agent coordination, or strategic orchestration.
chro-advisor
People leadership for scaling companies. Covers hiring strategy, compensation design, org structure, performance management, retention, culture health, and workforce planning. Use when building hiring plans, designing comp frameworks, restructuring teams, managing performance, building career ladders, handling attrition, workforce planning, or when user mentions CHRO, HR, people strategy, talent acquisition, headcount, compensation, org design, retention, performance management, employee engagement, or people operations.
churn-prevention
SaaS churn reduction covering cancel flow design, dynamic save offers, exit survey architecture, dunning sequences, payment recovery, win-back campaigns, and churn impact modeling.
ciso-advisor
Security leadership for growth-stage companies. Risk quantification in dollars, compliance roadmap sequencing (SOC 2, ISO 27001, HIPAA, GDPR), security architecture strategy, incident response leadership, vendor security assessment, and board-level security reporting. Use when building security programs, justifying security budget, selecting compliance frameworks, managing incidents, assessing vendor risk, preparing for audits, or when user mentions CISO, security strategy, compliance, zero trust, board security, risk assessment, incident response, SOC 2, ISO 27001, HIPAA, GDPR, penetration testing, or vulnerability management.
cmo-advisor
Marketing leadership advisor for CMOs on brand strategy, demand generation, marketing operations, growth marketing, and revenue marketing alignment. Use when building a marketing strategy, planning demand-gen campaigns, designing lead scoring models, allocating marketing budget, or aligning marketing with revenue targets.
commercial-policy
Commercial policy: the written governance framework that defines what commercial terms sales can offer, what triggers approval, and what's off-limits. Use when authoring or refreshing a company commercial-policy charter, defining discount / contract / payment / termination / liability policies, auditing existing deals for policy compliance, drafting commercial-policy training for sales, or generating a tailored policy for a new region or vertical. Sits above deal-desk (which enforces) and pricing-strategy (which sets prices) — this is the policy layer that reflects how the company decides to do business.
company-os
The meta-framework for how a company runs -- the connective tissue between all C-suite roles. Covers operating system selection (EOS, Scaling Up, OKR-native, hybrid), accountability charts, scorecards, meeting pulse design, issue resolution (IDS), 90-day rocks, and communication cadence. Use when setting up company operations, selecting a management framework, designing meeting rhythms, building accountability systems, implementing OKRs, or when user mentions EOS, Scaling Up, operating system, L10 meetings, rocks, scorecard, accountability chart, quarterly planning, or meeting cadence.
competitive-intel
Systematic competitor tracking that feeds CMO positioning, CRO battlecards, and CPO roadmap decisions. Covers competitor identification, 8-dimension tracking, analysis frameworks, battlecard creation, win/loss analysis, and intelligence distribution. Use when analyzing competitors, building battlecards, tracking market moves, conducting win/loss analysis, updating positioning, or when user mentions competitive intelligence, competitor analysis, battlecards, win/loss, market positioning, or competitive strategy.
competitive-teardown
Systematic competitor analysis covering product teardowns, 12-dimension scoring rubric, feature comparison matrices, SWOT analysis, pricing model deconstruction, UX audits, and strategic action plans with stakeholder presentation templates.
competitor-alternatives
Competitor comparison and alternative page creation for SEO and sales enablement. Covers 4 page formats (singular alternative, plural alternatives, vs pages, competitor vs competitor), content architecture, research methodology, and centralized competitor data management.
coo-advisor
Operations leadership advisor for COOs on business operations, process optimization, scaling infrastructure, cross-functional alignment, and operational excellence. Use when designing operational processes, planning headcount capacity, optimizing vendor relationships, building business continuity plans, or scaling operations for rapid growth.
cpo-advisor
Strategic product leadership for scaling companies. Covers product vision, portfolio strategy, product-market fit measurement, product org design, north star metrics, investment postures, and board-level product reporting. Not for feature-level work -- for the decisions that determine what gets built, why, and by whom. Use when setting product vision, managing a product portfolio, measuring PMF, designing product teams, prioritizing at portfolio level, or when user mentions CPO, product strategy, PMF, product organization, portfolio prioritization, roadmap strategy, north star metric, or product-led growth.
cro-advisor
Revenue leadership for B2B SaaS companies. Covers revenue forecasting, sales model design, pricing strategy, net revenue retention, sales team scaling, pipeline management, and board-level revenue reporting. Use when designing the revenue engine, setting quotas, modeling NRR, evaluating pricing, building forecasts, scaling sales teams, or when user mentions CRO, revenue strategy, sales model, ARR growth, NRR, expansion revenue, churn, pricing strategy, sales capacity, pipeline, quota, or MEDDPICC.
cs-onboard
Structured C-suite onboarding through a founder interview that captures company context across 7 dimensions. Generates a persistent company context file used by all C-level advisory skills. Includes quarterly refresh protocol, context quality scoring, and graceful handling of missing information. Use when setting up advisory context for the first time, refreshing stale company context, or onboarding a new executive.
cto-advisor
Technical leadership guidance for engineering teams, architecture decisions, and technology strategy. Includes tech debt analyzer, team scaling calculator, engineering metrics frameworks, technology evaluation tools, and ADR templates. Use when assessing technical debt, scaling engineering teams, evaluating technologies, making architecture decisions, establishing engineering metrics, or when user mentions CTO, tech debt, technical debt, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, or technology strategy.
culture-architect
Build, measure, and evolve company culture as operational behavior -- not wall posters. Covers mission/vision/values workshops, values-to-behaviors translation, culture code creation, culture health assessment, cultural rituals by stage, and culture debt management. Use when building company values, assessing culture health, designing rituals, creating culture codes, handling culture clashes, managing through rapid growth, M&A integration, or when user mentions culture, values, culture debt, founder culture, culture code, psychological safety, engagement, eNPS, or remote culture.
customer-success-manager
Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success
deal-desk
Deal desk: the cross-functional function that reviews, approves, and structures non-standard sales deals. Use when standing up a deal-desk function from scratch, defining the deal-desk charter and SLA, building approval-threshold matrices (discount %, contract length, custom terms, payment terms, custom SLAs), designing a deal-review packet template, routing deals through the right approvers, analyzing deal velocity to find bottlenecks, or auditing recent deals for policy compliance. Pairs with our existing pricing-strategy (sets the prices) and revenue-operations (measures the funnel) skills — this one runs the operational machinery between those two.
decision-logger
Two-layer memory architecture for tracking executive decisions. Layer 1 stores raw deliberation transcripts, Layer 2 stores founder-approved decisions only. Future sessions read Layer 2 to prevent hallucinated consensus from past debates. Handles conflict detection, supersession tracking, DO_NOT_RESURFACE enforcement, overdue action item alerts, and decision search. Use when logging decisions, reviewing past decisions, checking overdue items, detecting conflicting decisions, or when user mentions decision log, decision history, past decisions, action items, decision tracking, or decision review.
executive-mentor
Adversarial thinking partner for founders and executives. Stress-tests plans, prepares for board meetings, dissects decisions with no good options, forces honest post-mortems, and identifies blind spots before competitors or board members do. Use when you need plan validation, board preparation, hard decision frameworks, assumption stress-testing, failure analysis, or when user mentions stress test, challenge, board prep, hard decision, pre-mortem, post-mortem, devil's advocate, plan review, or executive coaching.
form-cro
Form optimization for lead capture, contact, demo request, application, and checkout forms. Covers field-cost analysis, multi-step form design, validation UX, mobile optimization, and A/B testing frameworks.
founder-coach
Personal leadership development for founders and first-time CEOs. Covers founder archetype identification, delegation frameworks, energy management, CEO calendar audits, leadership style evolution, blind spot identification, imposter syndrome, founder mental health, succession planning, and the founder mode trap. Use when a founder feels like the bottleneck, struggles to delegate, is burning out, transitioning from IC to executive, managing a board for the first time, or when user mentions founder mode, CEO growth, leadership development, delegation, burnout, imposter syndrome, founder bottleneck, or executive transition.
free-tool-strategy
Free tool marketing strategy covering idea evaluation, tool design, lead capture architecture, SEO landing pages, launch playbook, and ROI measurement for calculators, generators, checkers, graders, and interactive tools.
general-counsel-advisor
Legal leadership advisor for General Counsels and senior legal leaders on legal strategy, risk management, contract and commercial governance, regulatory tracking, litigation management, and legal-team operating model. Use when defining a legal strategy, scoring legal risk, auditing the contract portfolio, building a regulatory calendar, or preparing the legal section of a board update.
internal-narrative
Build and maintain one coherent company story across all stakeholder audiences -- employees, investors, customers, candidates, and partners. Covers narrative construction, audience translation, contradiction detection, all-hands design, investor updates, crisis communication, and change management communications. Use when preparing all-hands meetings, investor updates, board presentations, recruiting narratives, crisis communications, or any time narrative consistency matters.
intl-expansion
International market expansion strategy for scaling companies. Covers market selection scoring, entry mode evaluation, localization requirements, regulatory compliance by region, go-to-market adaptation, team structure decisions, and launch planning. Use when expanding to new countries, evaluating international markets, planning localization, building regional teams, assessing regulatory requirements, or when user mentions international expansion, market entry, localization, regional strategy, global expansion, cross-border, or new market.
ma-playbook
M&A strategy for acquiring companies or being acquired. Covers strategic rationale assessment, target screening, due diligence frameworks, valuation methodologies, deal structure, negotiation strategy, integration planning, and post-acquisition execution. Use when evaluating acquisitions, preparing to be acquired, conducting due diligence, planning integration, negotiating deal terms, or when user mentions M&A, acquisition, merger, acqui-hire, due diligence, valuation, LOI, earnout, integration, or deal structure.
ml-ops-engineer
Expert MLOps engineering covering model deployment, ML pipelines, model monitoring, feature stores, and infrastructure automation. Use when deploying models to production, building training pipelines, setting up drift detection, configuring feature stores, or automating ML CI/CD workflows.
onboarding-cro
Post-signup user onboarding optimization covering activation metrics, time-to-value reduction, onboarding flow design, empty state optimization, multi-channel coordination, and stalled user recovery.
org-health-diagnostic
Cross-functional organizational health check combining signals from all C-suite roles. Scores 8 dimensions on a traffic-light scale with drill-down recommendations and cascade analysis. Use when assessing overall company health, preparing for board reviews, identifying at-risk functions, diagnosing cross-functional problems, or when user mentions org health, health check, health dashboard, company health, functional health, or health assessment.
page-cro
Landing page and marketing page conversion rate optimization covering value proposition clarity, headline effectiveness, CTA hierarchy, visual flow, social proof placement, objection handling, and structured A/B testing.
partnerships-architect
Design strategic partnerships — technology / channel / strategic / co-marketing — and the programs that scale them. Use when evaluating a potential partner, picking the right partnership type (tech integration vs reseller vs OEM vs strategic alliance), designing a partner program from scratch, structuring a specific partnership deal, modeling ROI on a partnership investment, or auditing an existing partner portfolio for ROI / strategic fit. Pairs with our channel-economics (financial mechanics) and deal-desk (per-deal approval) — this skill is the strategy layer above both.
paywall-upgrade-cro
In-app paywall and upgrade screen optimization covering feature gate design, usage limit UX, trial expiration flows, upgrade trigger timing, save offer strategy, and ethical monetization patterns.
popup-cro
Popup and modal optimization for conversion. Covers exit-intent, slide-ins, banners, timing optimization, frequency capping, audience targeting, compliance, and A/B testing frameworks for lead capture, promotions, and announcements.
pricing-strategy
SaaS pricing design and optimization covering value metric selection, tier architecture, price point research, pricing page design, price increase execution, and competitive pricing analysis.
referral-program
Referral and affiliate program design covering referral loop architecture, incentive design, trigger moment optimization, viral coefficient modeling, affiliate program structure, and optimization playbook.
revenue-operations
Analyzes pipeline coverage, tracks forecast accuracy with MAPE, and calculates GTM efficiency metrics for SaaS revenue optimization
sales-engineer
Analyzes RFP responses for coverage gaps, builds competitive feature matrices, and plans proof-of-concept engagements for pre-sales engineering
scenario-war-room
Cross-functional what-if modeling for compound adversity scenarios. Models cascading multi-variable risks across all business functions simultaneously. Unlike single-assumption stress tests, this shows how one problem creates the next. Use when facing complex risk scenarios, strategic decisions with major downside, multi-variable threats, or when someone asks "what if X AND Y both happen?
signup-flow-cro
Signup and registration flow optimization covering SSO strategy, progressive profiling, field reduction, multi-step flow design, authentication UX, post-submit experience, and mobile registration patterns.
strategic-alignment
Cascades strategy from boardroom to individual contributor and detects misalignment. Covers strategy articulation testing, cascade mapping, orphan goal detection, conflicting goal identification, silo diagnosis, communication gap analysis, and realignment protocols. Use when teams are pulling in different directions, OKRs don't connect, departments optimize locally at company expense, strategy doesn't translate to execution, or when user mentions alignment, strategy cascade, silo, conflicting OKRs, strategy communication, goal cascade, or misalignment.
codex-team
Coordinate multiple Codex agents.
compile
Compile .agents knowledge wiki.
openai-docs
Use official OpenAI docs.
eat
Extract knowledge, frameworks, and methodologies from a URL, file, video, article, or podcast. Use when user says '/eat', 'eat this', 'eat from', shares a URL/file for insights, or wants to learn from a video/article without reading the whole thing. NOT for summarization or news digests. Requires yt-dlp, whisper or GROQ_API_KEY, ffmpeg.
handoff-codex
Delegate tasks to Codex CLI to save Claude context
kubebolt-copilot
AI copilot skill for KubeBolt — the Kubernetes monitoring platform. This skill provides deep knowledge about Kubernetes clusters, workloads, networking, storage, RBAC, and troubleshooting, combined with real-time awareness of the user's connected cluster data via KubeBolt's REST API. Use this skill whenever the user asks questions about their Kubernetes cluster, wants to troubleshoot pods, deployments, services, nodes, or any K8s resource, asks about cluster health or insights, wants to understand topology or relationships between resources, needs help interpreting metrics (CPU, memory), asks about Gateway API, Ingresses, RBAC, storage, or any Kubernetes concept in the context of their monitored cluster. Also trigger when the user says things like "what's wrong with my cluster", "why is this pod crashing", "show me resource usage", "explain this insight", or any Kubernetes troubleshooting question. This skill powers the KubeBolt in-app chatbot.
comment-checker
Use when Codex needs to understand or respond to automatic comment-checker feedback emitted after an edit-like PostToolUse hook.
agency-image-prompt-engineer
Expert photography prompt engineer specializing in crafting detailed, evocative prompts for AI image generation. Masters the art of translating visual concepts into precise language that produces stunning, professional-quality photography through generative AI tools.
seobuild-onpage
Write SEO pages that rank on Google AND get cited by LLMs. Uses live SERP data, 500-token chunk architecture, and the Reddit Test quality gate. Triggers on: "write an SEO page", "seo-agi", "seo page for [keyword]", "rank for [keyword]", "rewrite this page for SEO", "GEO", "AEO", "write a page that ranks".
research-topic
Multi-step research orchestration. Use when user asks "research X", "summarize current state of Y", "what's the latest on Z", or compares approaches. Calls extract(action="agent") which searches the web, extracts top results, then synthesises a citation-preserving Markdown answer with one configured LLM.
ai-engineer
AI/LLM Application Engineer (/ai) — builds LLM-powered product features: RAG, agentic workflows, prompt engineering, tool use, structured output, evals, and guardrails. Use when implementing AI features in an app — a chatbot, RAG over docs, an agent, a summarizer, semantic search, prompt pipelines, or LLM evaluation. Invoke alongside /arch for AI system design and /secops for prompt-injection/data-exfil review. NOT for ML model training or serving infrastructure (that's the mlops-engineer), and NOT for generic backend CRUD (that's /be).
golden-principles
Scan repository for golden principle violations with agent-readable remediation. Enforces GP-001 through GP-008 from .agents/governance/golden-principles.md. Use when auditing compliance, preparing PRs, or running garbage collection scans.
hugging-face-jobs
This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.
hugging-face-model-trainer
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
openrouter-usage
Query OpenRouter API costs, credits, and usage breakdown by model, provider, and date. This skill should be used when checking API spending, auditing costs, or generating usage reports for the last 30 days.
server
Start/stop Kokoro TTS HTTP server. TRIGGERS - start tts server, kokoro server, tts http, stop tts server.
claude-api
Build apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic SDKs, or Agent SDK. DO NOT TRIGGER when: code imports `openai`/other AI SDK, general programming, or ML/data-science tasks.
seo-llmo
Use this skill whenever the user is building, reviewing, or preparing to launch any public-facing website or web app. SEO, LLMO, and agent-readiness are baseline requirements for every public site, not optional add-ons. Covers meta tags, Open Graph, JSON-LD structured data (including SoftwareApplication and Product types), robots.txt (including the Content-Signal directive), sitemap.xml, llms.txt (including agent instruction block and MCP declaration), AI crawler access (GPTBot, ClaudeBot, PerplexityBot), Markdown content negotiation for agents, Link response headers, Agent Skills index, A2A Agent Card, MCP server discovery, agent.json, pricing.md, and the "explicit absence beats silence" principle for agent-facing files. Trigger for marketing sites, landing pages, blogs, docs, and e-commerce stores; before any "launch" or "go live"; during pre-launch checklists; when the user mentions isitagentready.com, ora.run, agent-readiness, A2A, MCP discovery, Cloudflare Markdown for Agents, or wants AI agents (ChatGPT
gemini-mcp
Use Google Gemini for image generation, text chat, file analysis, URL/YouTube analysis, and multi-turn conversations via MCP. Triggers on requests to generate images with Gemini, chat with Gemini, analyze files/URLs/videos with Gemini, use Gemini models, or when user asks to create/edit images and needs prompting guidance. Do NOT use for DALL-E, Midjourney, Stable Diffusion, or OpenAI image generation.
android-architecture-clean
Apply clean architecture boundaries, use cases, repositories, and lifecycle-aware presentation models in Android projects.
android-ci-cd-release-playstore
Automate Android CI, versioning, signing boundaries, release channels, and Play-ready delivery workflows.
android-compose-accessibility
Make Compose interfaces accessible with semantics, announcements, contrast, focus order, and adaptive touch targets.
android-compose-foundations
Build Android UI with Jetpack Compose foundations, layouts, modifiers, theming, and stable component structure.
android-compose-performance
Profile and improve Compose recomposition, layout, scrolling, startup, and rendering performance in Android apps.
android-compose-state-effects
Manage Compose state, remember APIs, side effects, snapshots, and lifecycle-aware collection without leaks or loops.
android-compose-xml-interoperability
Bridge Compose and the View system safely during incremental migrations, interoperability screens, and shared theming.
android-coroutines-flow
Use coroutines, Flow, structured concurrency, dispatchers, and cancellation-safe Android async pipelines.
android-di-hilt
Wire Android dependency injection with Hilt, scopes, testing overrides, and module ownership boundaries.
android-gradle-build-logic
Shape Android build logic with Gradle, version catalogs, plugins, convention patterns, and toolchain compatibility.
android-kotlin-core
Use Kotlin idioms safely in Android apps, including nullability, data classes, sealed types, extension functions, and collection pipelines.
android-local-persistence-datastore
Persist lightweight user and app preferences with DataStore, schema-safe models, and migration-aware defaults.
android-material3-design-system
Apply Material 3 tokens, color, type, spacing, adaptive components, and theme ownership in Android apps.
android-media-files-sharing
Use modern Android file, media, picker, FileProvider, and share-sheet APIs with minimal permissions.
android-modernization-upgrade
Bring very old Android projects to a current supported baseline with staged upgrades, deprecated API replacement, 16 KB alignment checks, and explicit handoff to specialized skills.
android-modularization
Design Android repositories with feature, core, and build-logic modules that scale without cyclic dependencies.
android-navigation-deeplinks
Handle navigation graphs, back stack behavior, app links, intents, and destination ownership for Android apps.
android-networking-retrofit-okhttp
Build Android networking stacks with Retrofit, OkHttp, interceptors, API contracts, and resilient error handling.
android-performance-observability
Measure startup, rendering, memory, jank, vitals, logs, and crash signals for Android apps with actionable traces.
android-permissions-activity-results
Use modern permission requests, Activity Result APIs, and capability-gated UX in Android flows.
android-room-database
Model Room entities, DAOs, transactions, migrations, schema exports, and test-safe local persistence.
android-security-best-practices
Apply Android app security guidance around secrets, storage, network trust, exported components, and least privilege.
android-serialization-offline-sync
Coordinate serialization, caching, conflict handling, and offline-first sync flows in Android apps.
android-testing-ui
Validate Android UI behavior with Compose UI tests, Espresso-style checks, accessibility assertions, and state coverage.
android-testing-unit
Write fast, focused Android unit tests for reducers, use cases, repositories, and lifecycle-safe state holders.
android-ui-states-validation
Review Android UI flows for empty, loading, error, offline, and edge-case behavior before release.
android-viewsystem-foundations
Handle XML layouts, ConstraintLayout, Fragments, ViewBinding, DataBinding, and classic Android UI lifecycle patterns.
android-workmanager-notifications
Schedule reliable background work, reminders, and notification delivery with WorkManager and Android execution limits.
nyxid
Brokers credentials for downstream services (OpenAI, Anthropic, GitHub, Lark, custom APIs, SSH, MCP) so the agent never sees raw API keys or OAuth tokens. Use whenever the user asks to call, proxy, or authenticate against a third-party API/service, mentions NyxID, asks to "connect", "add a service", "set up an API key", manage credentials/nodes/MCP, send messages through bot platforms, or wire up SSH access. Operate exclusively through the `nyxid` CLI.
bggg-skill-taotie
Skill 进化器（饕餮）— 通过"吞噬"并分析其他 skill 的优势来强化目标 skill。 当用户想要：整合两个 skill、用一个 skill 优化另一个、对比分析两个 skill 的优劣、 把某个 skill 的优点提炼到另一个 skill 中、或者说"把 X 喂给 Y"、"用 X 来优化 Y"、 "整合这两个 skill"、"吃掉这个 skill"、"skill 进化"、"skill 升级"、"合并 skill" 等意图时，必须触发此 skill。即使用户没有明确说"饕餮"，只要涉及到两个 skill 之间的 能力迁移、对比分析、或优势提取，都应该使用此 skill。
design-system-lead
Expert design systems leadership covering component libraries, design tokens, documentation, and design-development collaboration.
product-designer
Expert product design covering UI/UX design, design systems, prototyping, user research, and design thinking.
product-manager
Expert product management covering strategy, roadmapping, user research, prioritization frameworks, and stakeholder management.
product-strategist
Expert product strategy covering market analysis, competitive positioning, go-to-market planning, and product-led growth.
ux-researcher
Expert UX research covering user research methods, usability testing, data synthesis, and research operations.
cost-report
Weekly LLM cost breakdown by provider / gateway / skill, posted to private DM
daily-inbox-triage
Sweep inbox (email + Slack + Telegram DMs) and produce a prioritized action list with suggested replies
meeting-prep
Prepare a 1-page brief for an upcoming meeting by combining calendar context, recent threads with attendees, and relevant docs
nightly-backup
Run `hermes backup`, encrypt, upload to remote storage, prune old backups
pr-review
Delegate a PR review to Claude Code with a scoped read-only GitHub PAT
release-notes
Build human-readable release notes from a range of commits or merged PRs
rotate-secrets
Rotate webhook HMACs, API keys, OAuth tokens, and update gateway configs atomically
spam-trap
Classify incoming messages from public channels as spam / prompt-injection-attempt / genuine; quarantine risky ones
weekly-dep-audit
Audit dependencies across configured repos for security advisories, open triage issues
poland-vault-bzp-zamowienia-live
Live top 50 zamówień publicznych BZP z ezamowienia.gov.pl — zamawiający, wykonawca, wartość, link do ogłoszenia. Daily ingest.
poland-vault-cytaty-politykow
Cytaty polskich polityków z weryfikowalnym źródłem — stenogramy Sejmu, interpelacje, oficjalne nagrania. Jak znaleźć i zacytować dosłownie.
poland-vault-deficyt-budzetowy
Deficyt budżetowy Polski — rozjazd dochody/wydatki, projekcje, kontekst UE.
poland-vault-dlug-publiczny
Dług publiczny Polski — kwota, tempo przyrostu, koszty obsługi. Manifest #1 StrajkPolski: 2480 zł/s.
poland-vault-frekwencja-poslow
Frekwencja posłów Sejmu RP w głosowaniach — kto chodzi do pracy, kto symuluje.
poland-vault-gios-jakosc-powietrza
Jakość powietrza w Polsce — GIOŚ, smog PM10/PM2.5/NO2, indeks jakości. API api.gios.gov.pl (v1).
poland-vault-glosowania-sejmu
Głosowania Sejmu RP X kadencji — wyniki, podział klubowy, kontrowersje.
poland-vault-inflacja-2021-2024
Inflacja w Polsce 2021–2024 — wpływ na realne dochody, oszczędności, ceny żywności.
poland-vault-kasta-urzedicza
Kasta urzędnicza Polski — wielokrotne stanowiska, niedotykalność, koszt utrzymania.
poland-vault-lichwa-bankowa
Marże banków vs stopa NBP — realny koszt kredytu w Polsce.
poland-vault-manifest-9-zadan
9 żądań StrajkPolski — pełny manifest jako autorski tekst MIT (remixuj!).
poland-vault-mercosur
Umowa UE-Mercosur — wpływ na polskie rolnictwo, ceny, standardy żywności.
poland-vault-nfz-kolejki
Kolejki NFZ — czas oczekiwania na operacje, specjalistów, badania. Dane GUS + NFZ.
poland-vault-nfz-leki-refundowane
NFZ — leki refundowane i bezpłatne, recepta 65+/18-, uprawnienia pacjenta, Telefoniczna Informacja Pacjenta.
poland-vault-partie-finansowanie
Partie polityczne w Polsce — subwencje budżetowe, sprawozdania PKW, władze. 11 klubów Sejmu X kadencji.
poland-vault-pensje-rzadowe
Pensje i widełki w sektorze publicznym — premier, ministrowie, spółki SP, urzędnicy.
poland-vault-poslowie
460 posłów Sejmu RP — kluby, frekwencja, ostatnie głosowania. Live mirror sejm.gov.pl API.
poland-vault-rzad-i-instytucje
Mapa rządu i kluczowych instytucji — Rada Ministrów, KPRM, ministerstwa, agencje.
poland-vault-spolki-skarbu-panstwa
Spółki Skarbu Państwa — udziały, zarządy, dywidendy, wynagrodzenia prezesów.
poland-vault-stop-haraczom-na-ukraine
Realny koszt pomocy dla Ukrainy w Polsce — 500+, edukacja, NFZ, bezpłatne usługi.
poland-vault-system-zus
System emerytalny ZUS — wpływy, wypłaty, prognoza wypłacalności po 2050.
poland-vault-trybunal-zdrady-stanu
Trybunał Stanu — kto powinien odpowiedzieć i za co (Manifest #2).
poland-vault-uklady-powiazania
Graf 35 lat układów — osoby × spółki × instytucje × kontrakty. Live z graph_nodes/edges.
poland-vault-zamowienia-publiczne
Zamówienia publiczne BZP — wartości, beneficjenci, podejrzane przetargi.
poland-vault-zielony-lad-ue
Zielony Ład UE — wpływ na polski przemysł, energetykę, rolnictwo. Koszty.
poland-vault-zwiazki-zawodowe
Związki zawodowe w Polsce — Solidarność, OPZZ, FZZ (3 reprezentatywne centrale) + Rada Dialogu Społecznego. Kontakty, struktury regionalne.
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep watching open PRs so fresh review feedback is surfaced promptly. Use when the user asks Codex to monitor a PR, watch CI, handle review comments, or keep an eye on failures and feedback on an open PR.
brand-guidelines
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
claude-opus-4-5-migration
Migrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5. Use when the user wants to update their codebase, prompts, or API calls to use Opus 4.5. Handles model string updates and prompt adjustments for known Opus 4.5 behavioral differences. Does NOT migrate Haiku 4.5.
codex-bug
Diagnose GitHub bug reports in openai/codex. Use when given a GitHub issue URL from openai/codex and asked to decide next steps such as verifying against the repo, requesting more info, or explaining why it is not a bug; follow any additional user-provided instructions.
codex-issue-digest
Run a GitHub issue digest for openai/codex by feature-area labels, all areas, and configurable time windows. Use when asked to summarize recent Codex bug reports or enhancement requests, especially for owner-specific labels such as tui, exec, app, or similar areas.
codex-pr-body
Update the title and body of one or more pull requests.
doc-coauthoring
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas.
internal-comms
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
migrate-v1-to-v2
Migrate MCP TypeScript SDK code from v1 (@modelcontextprotocol/sdk) to v2 (@modelcontextprotocol/core, /client, /server). Use when a user asks to migrate, upgrade, or port their MCP TypeScript code from v1 to v2.
openai-docs
Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.
plugin-creator
Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, valid manifest defaults, and personal-marketplace entries by default. Use when Codex needs to create a new personal plugin, add optional plugin structure, generate or update marketplace entries for plugin ordering and availability metadata, or update an existing local plugin during development with the CLI-driven cachebuster and reinstall flow.
skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
update-v8-version
Update Codex's pinned `v8` / `rusty_v8` versions, validate the release-candidate path, and investigate failed V8 canary or artifact builds. Use when asked to bump V8, update `rusty_v8` artifacts, prepare or validate a V8 release candidate, check `v8-canary`, or diagnose why a V8 version update no longer builds.
ultimate-seo-geo
Audits and optimizes websites for search engine visibility (SEO) and AI search citation (GEO), covering technical health, E-E-A-T content scoring, domain authority, structured data, rich results, and entity signals. Use when running SEO audits, diagnosing traffic drops or ranking losses, generating Schema.org JSON-LD, checking Core Web Vitals, crawlability, robots.txt, sitemaps, hreflang, backlinks, planning content strategy or site migrations, fixing indexing issues, or optimizing for AI Overviews, ChatGPT, and Perplexity. NOT for paid ads (PPC/SEM), social media strategy, email marketing, or general web development unrelated to search.
geo-tracking
The canonical measurement skill for AI visibility, fully doable without paid tools or API keys. Sets up GA4 AI traffic reporting (custom channel group with a complete referrer regex placed above Referral), runs a monthly 50-100 buyer prompt panel to compute brand mention rate, citation rate, and share of voice versus competitors across ChatGPT, Perplexity, Google AI Overviews, Claude, and Gemini, and reads server logs for verified AI crawler and assistant fetcher hits as a leading indicator. Use this skill whenever the user wants to track AI traffic, measure ChatGPT or Perplexity referrals, see AI assistant visits in GA4, monitor brand mentions in AI answers, run prompt tracking, compute share of voice, build a monthly GEO report, prove AI visibility to a client, or detect AI bots in server logs. It is the repo reference for measurement. For building the prompt panel itself, use seo-keyword-research. For improving citation rates once gaps are found, use geo-visibility.
geo-visibility
The canonical skill for getting cited and recommended by AI engines (ChatGPT, Google AI Overviews and AI Mode, Perplexity, Claude, Gemini). Explains how each engine selects sources, applies passage-level citability rules (answer-first H2 blocks, self-contained chunks, definitions, sourced statistics, comparison tables), scores pages with a 5-pillar GEO rubric graded 0-100, checks what AI crawlers actually see, and enforces entity consistency plus third-party presence (reviews, YouTube, listicles, versus pages). Use this skill whenever the user mentions GEO, AEO, LLM SEO, AI visibility, AI citations, AI Overviews, being recommended by ChatGPT, brand in AI answers, citability, llms.txt, entity SEO, or asks why competitors appear in AI answers and they do not, or how to optimize content for AI engines. It is the repo reference for citability rules. For measuring mentions, citations, and AI traffic, use geo-tracking. For choosing target prompts and keywords, use seo-keyword-research.
obsidian-brain
Sets up and maintains a local Obsidian vault as the company's second brain, so every SEO and GEO skill in this kit works from real company knowledge instead of guesses. Covers the vault structure for a business (identity, product, customers, competitors, keywords), the dump workflow that converts PDFs, decks, transcripts and docs into linked markdown notes, the read-first protocol (Claude pulls context from the vault before acting), and the SEO action log updated at the end of every session. Use this skill whenever the user mentions Obsidian, a vault, a knowledge base, a second brain, connecting Claude to company data or docs, dumping company files for AI, centralizing business knowledge, or asks how to give Claude context about their company, or why Claude keeps asking for facts they already wrote down. Also use it at the start of any SEO engagement to scaffold the vault, and at the end of sessions to log actions. For the SEO work itself, hand off to the other skills in this kit.
seo-backlinks
Plans and runs off-page SEO end to end, covering link building strategy, link profile review without paid tools, ninja linking (hands-on acquisition of links from profiles, forums, Q&A sites, directories, and communities), digital PR built on proprietary data, broken link building, linkable assets, and brand mention building for AI visibility (GEO). Use this skill whenever the user mentions backlinks, link building, netlinking, off-page SEO, domain authority or domain rating, link juice, anchor text, link velocity, guest posts, niche edits, broken links, unlinked brand mentions, disavow, toxic links, PBNs, digital PR, HARO, or link exchanges; asks how to get links, how to raise authority, or why competitors outrank them despite weaker content; or wants the brand cited more often in ChatGPT, Perplexity, or Google AI Overviews. Also use it to audit a backlink profile, design a 90-day link acquisition plan, or evaluate a single link opportunity. For local citations and NAP consistency, see the seo-local skill.
seo-content-blog
Writes, rewrites, or reviews blog articles optimized for both Google rankings and AI citations (ChatGPT, Perplexity, Google AI Overviews), applying a 12-element article skeleton (answer-first summary block, question-form H2s, expert quotes and statistics, authority sources, internal links to commercial pages, FAQ from People Also Ask, SERP-benchmarked length). Use this skill whenever the user asks to write a blog post or article, draft blog content, create an article outline or content brief, optimize, refresh, or rewrite an existing post, review an AI-generated draft before publishing, plan blog publishing cadence, or asks why an article does not rank or never gets cited by AI engines. Also use it for requests like 'make this post rank', 'improve this article', or 'turn this keyword into an article'. For product, service, or collection page copy, use the seo-content-product-page, seo-content-service-page, or seo-content-collection-page skills.
seo-content-collection-page
Optimizes e-commerce collection, category, and product listing pages (PLPs) for Google and for AI assistants. Covers the bottom-of-page SEO text block (placement, length, structure), faceted navigation and filter URL control, pagination canonicals, thin or empty collection cleanup, internal linking, and CollectionPage schema. Use this skill whenever the user wants to create, write, audit, or optimize a collection page, category page, PLP, shop page, or product archive on Shopify, WooCommerce, Magento, BigCommerce, PrestaShop, or a custom storefront; asks where to place category text, how to handle filtered URLs (?color=red&size=m), pagination canonicals, duplicate or empty categories, or crawl budget on an online store; or mentions category page SEO, e-commerce taxonomy, faceted navigation, or getting category pages cited in AI answers. For individual product pages, use the seo-content-product-page skill. For sitewide link architecture, use the seo-internal-linking skill.
seo-content-product-page
Optimizes e-commerce product pages (PDPs) for Google rankings and for AI assistants (ChatGPT, Perplexity, Claude, Google AI Overviews) that now recommend products directly. Covers unique product descriptions, FAQ and definition blocks, review placement, real photo requirements, title, H1, slug and meta rules, out-of-stock handling, Product schema essentials, and the ChatGPT Shopping product feed. Use this skill whenever the user wants to write, rewrite, audit, or optimize a product page, product description, or product detail page on Shopify, WooCommerce, Magento, BigCommerce, PrestaShop, Wix, Webflow, or a custom storefront; asks why product pages get no traffic or traffic without sales; or mentions e-commerce SEO, PDP optimization, product copywriting, duplicate manufacturer descriptions, out-of-stock or discontinued products, or getting products recommended by ChatGPT. For category, collection, or product listing pages, use the seo-content-collection-page skill.
seo-content-service-page
Plans, writes, rewrites, and audits service pages and service-business landing pages, the money pages of agencies, consultants, trades, clinics, law firms, and SaaS. Applies a field-tested wireframe that ranks and converts (hero with CTA, social proof, benefits, numbered process, founder bio with real photo, 750+ word SEO text block, reviews, FAQ, final CTA), enforces one service = one page, sets title/H1/slug/meta patterns, benchmarks competitor depth, builds region and city pages for multi-area businesses, and adds a GEO layer so AI assistants recommend the business. Use this skill whenever the user works on a service page, landing page, agency or consultant site, a plumber, lawyer, dentist, electrician, or clinic website, an "our services" page, a lead generation page, a city or service-area page, or a one-page site that gets no organic leads. For blog articles, use the seo-content-blog skill. For Google Business Profile, reviews, and Maps, use the seo-local skill.
seo-geo-audit
Runs a complete SEO + GEO audit of any website, covering technical health, tags, images, site architecture, content, keywords, e-commerce, local, backlinks, and AI visibility (ChatGPT, Perplexity, Google AI Overviews), then delivers a prioritized action plan or a plain-language summary. Use this skill whenever the user gives a URL and wants to know what to improve, asks to audit or review a site, asks why a site does not rank or never gets mentioned by AI assistants, wants to compare a site against competitors, or asks "what is wrong with my site" or "is my site ready for SEO". Also use it to establish a baseline before any larger SEO project. After the audit, hand off deep work to the specialized skills (seo-technical, seo-content-blog, seo-backlinks, geo-visibility, geo-tracking).
seo-internal-linking
Designs and repairs internal linking architecture so authority flows from blog content to the pages that sell and every page stays crawlable. Covers money page mapping, orphan page detection, content silos and hub-and-spoke clusters, anchor text variation, breadcrumbs, menu and footer roles, blog subfolder placement, and keyword cannibalization merges with 301s. Use this skill whenever the user asks to add internal links to an article, build a topic cluster or silo, fix orphan pages, plan or audit site architecture, decide which pages a new post should link to, move a blog off a subdomain, restructure navigation menus, or asks why a page is indexed but never ranks. Also use it for requests like 'interlink these posts', 'internal linking strategy', 'link juice', or 'orphaned URLs in the sitemap'. For earning external backlinks, use the seo-backlinks skill. For making individual pages citable by AI engines, use the geo-visibility skill. For writing the article content itself, use the seo-content-blog skill.
seo-keyword-research
Runs keyword research grounded in how buyers actually search, then extends it with AI prompt research. Validates real query language with Google autocomplete, People Also Ask, Reddit threads, and customer words, maps every keyword to one intent and one page, finds quick wins in Google Search Console, tests for cannibalization, builds the on-page placement matrix, and constructs a 50-100 buyer prompt panel for ChatGPT, Perplexity, and Google AI Mode. Works fully without paid tools or API keys. Use this skill whenever the user mentions keyword research, search intent, keyword mapping, cannibalization, long-tail keywords, content gaps, topic clusters, query fan-out, prompt research, buyer prompts, LLM SEO, what to write about, or which queries to target, and before planning any new blog, product, service, or comparison page. It outputs the keyword map and the prompt panel. For measuring AI visibility with that panel, use geo-tracking. For improving citation rates on existing pages, use geo-visibility.
seo-local
Improves local search visibility end to end, Google Business Profile (GBP) audit and completion, category strategy, review generation and replies, NAP consistency, location pages with LocalBusiness schema, multi-location and service-area setups, suspended listing reinstatement, and a GEO layer so AI assistants recommend the business for "best [trade] in [city]" queries. Use this skill whenever the user mentions Google Business Profile, GBP, Google Maps, the local pack or 3-pack, local SEO, citations, reviews and star ratings, a restaurant, clinic, law firm, plumber, dentist, gym, or store serving a local area, a business that does not show up on Maps, choosing GBP categories, replying to a negative review, or a suspended listing. Also use it to plan the local page for each branch or service area. For building citation and directory links, use the seo-backlinks skill. For writing the service and city pages themselves, use the seo-content-service-page skill.
seo-schema-markup
Implements and audits structured data, the Schema.org JSON-LD that still earns surfaces in 2026: Organization with sameAs, Article, Product, Offer, AggregateRating, LocalBusiness, BreadcrumbList, Person, WebSite, VideoObject, Event. Ships ready-to-adapt JSON-LD templates, a status table of what Google dropped (FAQPage rich results removed in May 2026, HowTo dead), entity graph linking with @id, and a two-validator routine. Use this skill whenever the user mentions schema, schema markup, structured data, JSON-LD, microdata, rich results, rich snippets, review stars, star ratings, product markup, breadcrumbs, sameAs, entity SEO, knowledge panel, Rich Results Test errors, or asks why FAQ markup shows nothing anymore. Also use it when writing or reviewing any schema code, choosing which types to deploy, or wiring author and publisher entities for E-E-A-T. For crawlability, rendering and AI crawler access, use the seo-technical skill. For entity consistency across the wider web, use the geo-visibility skill.
seo-technical
Audits and fixes technical SEO: indexation, crawlability, robots.txt, sitemaps, IndexNow, Core Web Vitals, page speed, JavaScript rendering, AI crawler access, canonicals, hreflang, HTTPS, and site migrations. Canonical skill of this repository for AI crawler control and JS rendering: its references/ai-crawlers.md covers GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, PerplexityBot, Google-Extended, Bingbot, CCBot, with paste-ready robots.txt blocks and IP verification. Use this skill whenever the user mentions a technical SEO audit, a site or page not indexed, Core Web Vitals, LCP, INP, CLS, PageSpeed, slow pages, robots.txt, meta robots, noindex, sitemap issues, llms.txt, AI crawlers, GPTBot, content invisible to ChatGPT or Perplexity, server-side rendering, hreflang, duplicate content, a migration, redesign or domain change, or a hacked site. For structured data and JSON-LD, use the seo-schema-markup skill. For writing content that AI engines cite, use the geo-visibility skill.
social-amplification
The fifth pillar in this repo, social content distribution and repurposing aimed strictly at SEO and GEO, driving branded search and feeding the third-party surfaces (YouTube, Reddit, LinkedIn) that AI engines cite. Turns one pillar asset into native posts per platform and prioritizes platforms by search and AI return over vanity reach. Use this skill whenever the user mentions social media for SEO, content distribution, content amplification, repurposing a blog post or pillar article, YouTube SEO, Reddit marketing, LinkedIn content, social signals, brand awareness for search, getting on Reddit or YouTube for AI visibility, appearing when people ask ChatGPT, or building an audience that supports rankings. Be eager to trigger; this work is under-served. For earning backlinks and brand mention placements, use the seo-backlinks skill. For which surfaces AI engines cite and passage citability, use the geo-visibility skill. For measuring social and AI traffic, use the geo-tracking skill.
secrets-handling
处理密钥/凭据/token 时使用。防止泄露进代码、日志、前端。
audiocraft-audio-generation
AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.
codex
Delegate coding tasks (features, refactors, PR reviews) to the OpenAI Codex CLI from bash; use when offloading coding work to the standalone codex agent.
serving-llms-vllm
vLLM: high-throughput LLM serving, OpenAI API, quantization.
modern-python-substrate
Modern Python toolchain substrate. uv for installs and venvs, ruff for lint and format, ty for typecheck, pytest for tests, hypothesis for property-based tests, src/ layout, pyproject.toml as single source of truth, pre-commit hooks. Plus LLM-stack patterns when the codebase calls anthropic, openai, tiktoken, or similar SDKs (prompt caching, retries, streaming, token counting). Use when the user says /python-setup, "set up Python project", "modern Python toolchain", "switch from poetry to uv", "ruff config", "ty migration from mypy", "configure pytest", or starts a new Python codebase. Covers Python 3.11+ idioms.
add-backend-tool
Add a new tool to the backend OpenAI function calling system. Use when user mentions "new tool", "add tool", "backend function", "agent capability", or wants to extend what the AI agent can do.
azure-hosted-copilot-sdk
Build and deploy GitHub Copilot SDK apps to Azure. USE FOR: build copilot app, create copilot app, copilot SDK, @github/copilot-sdk, scaffold copilot project, copilot-powered app, deploy copilot app, host on azure, azure model, BYOM, bring your own model, use my own model, azure openai model, DefaultAzureCredential, self-hosted model, copilot SDK service, chat app with copilot, copilot-sdk-service template, azd init copilot, CopilotClient, createSession, sendAndWait, GitHub Models API. DO NOT USE FOR: using Copilot (not building with it), Copilot Extensions, Azure Functions without Copilot, general web apps without copilot SDK, Foundry agent hosting (use microsoft-foundry skill), agent evaluation (use microsoft-foundry skill).
backend-fastapi
Documentation for the FastAPI backend, endpoints, and dependency injection.
chatbot-implementation
Details of the RAG Chatbot, including UI and backend logic.
openai-docs-skill
Query the OpenAI developer documentation via the OpenAI Docs MCP server using CLI (curl/jq). Use whenever a task involves the OpenAI API (Responses, Chat Completions, Realtime, etc.), OpenAI SDKs, ChatGPT Apps SDK, Codex, MCP integrations, endpoint schemas, parameters, limits, or migrations and you need up-to-date official guidance.
rag-pipeline
Details on the Retrieval Augmented Generation pipeline, Ingestion, and Vector Search.
adversarial-spec
Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree. Use when user wants to write or refine a specification document using adversarial development.
unknown-skill
graphmind gives Claude Code persistent memory and structural code intelligence across all registered projects. Auto-triggers in any registered project directory. MANDATORY: query graphmind before using grep, find, or reading source files.
ai-landing-skill
Build AI-startup landing pages with the `performative-ui` React component library (28 components: Aurora, Rotator, WordRoll, PromptHero, MockIDE, PricingCard, WaitlistForm, …). Use when the user wants a marketing landing page for an AI product, SaaS tool, hackathon project, waitlist, demo, or anything in the "AI-startup landing" aesthetic — animated headlines, gradient text, ChatGPT-style input as CTA, faux IDE typing demos, glass cards, infinite logo marquees. Triggers: "build a landing for my AI app", "AI SaaS landing", "vibe landing", "use performative-ui", "AI startup homepage", "сделай лендинг для AI-стартапа", "лендинг в стиле AI", "залендить waitlist". Do NOT use for regulated-industry sites (medical, legal, banking, government) where this aesthetic is inappropriate.
codex-symphony
Install and operate a portable OpenAI Symphony + Linear orchestration setup in any Git repository. Use when the user wants a one-command local Symphony runner, a reusable WORKFLOW template, background launch scripts, or a Codex wrapper that restarts Symphony automatically when reopening the CLI.
question-refiner
Use when a research question is still vague and must be clarified into a structured deep-research brief before actual literature research or execution. Skip this if the user already has a concrete paper draft or a ready-to-run research specification.
deepread-api
Full DeepRead API reference. All endpoints, auth, request/response formats, blueprints, webhooks, error handling, and code examples for OCR, structured extraction, form filling, and PII redaction.
deepread-bank-statements
Extract structured data from bank statements — account holder, period, opening/closing balances, and every transaction as typed JSON. Works on PDF and scanned statements from any bank. Per-field confidence flags. PII redaction for compliant sharing. Free 2,000 pages/month.
deepread-byok
Bring Your Own Key to DeepRead. Connect your OpenAI, Google, or OpenRouter API key — all document processing routes through YOUR account at zero DeepRead LLM cost. Page quota skipped entirely. Same API, same endpoints, one toggle.
deepread-form-fill
AI-powered PDF form filling via DeepRead. Upload any PDF form + your data as JSON — AI detects fields, maps data semantically, fills the form with quality checks, returns a completed PDF. Works with scanned, non-editable forms — no AcroForm required.
deepread-id-documents
Extract structured data from passports, driver's licenses, and national ID cards for KYC/onboarding — name, document number, dates, nationality — as typed JSON. Vision AI reads scans and photos. Per-field confidence flags. PII redaction built in for compliant storage. Free 2,000 pages/month.
deepread-insurance
Extract structured data from insurance claims, policies, EOBs, and loss reports. Pre-built schemas for claimant info, coverage, damages, adjuster notes. PII redaction for compliant sharing. 97%+ accuracy. Free 2,000 pages/month.
deepread-invoice
Extract structured data from invoices, receipts, and bills using DeepRead. Pre-built schemas for vendor, line items, totals, tax, due dates. 97%+ accuracy with human-in-the-loop flags. Free 2,000 pages/month.
deepread-legal
Extract structured data from contracts, legal agreements, court filings, and compliance documents. Pre-built schemas for parties, clauses, dates, obligations. PII redaction for privilege review. 97%+ accuracy. Free 2,000 pages/month.
deepread-medical
Extract structured data from medical records, lab reports, prescriptions, and clinical documents. Pre-built schemas for patient info, diagnoses, medications, vitals. PII redaction for HIPAA compliance. 97%+ accuracy. Free 2,000 pages/month.
deepread-pay-stubs
Extract structured data from pay stubs and earnings statements — employer, employee, pay period, gross/net pay, taxes, deductions, and YTD totals — as typed JSON. Ideal for income verification and lending. Per-field confidence flags. PII redaction built in. Free 2,000 pages/month.
deepread-purchase-orders
Extract structured data from purchase orders — PO number, buyer/supplier, line items, quantities, prices, delivery dates, totals — as typed JSON. 2-way/3-way match against invoices. Per-field confidence flags. Free 2,000 pages/month.
deepread-resume-parser
Parse resumes and CVs into structured JSON — contact info, work history, education, skills, and total years of experience. Works on PDF, Word-exported PDF, and scanned resumes in any layout. Per-field confidence flags. PII redaction for bias-free screening. Free 2,000 pages/month.
deepread-setup
Get started with DeepRead. Automatically obtains an API key via OAuth device authorization flow, then walks through OCR, structured extraction, form filling, PII redaction, and blueprint optimization.
deepread-shipping-docs
Extract structured data from bills of lading, packing lists, and shipping manifests — shipper, consignee, carrier, tracking, containers, line items, weights — as typed JSON. Works on PDFs and scans. Per-field confidence flags. Free 2,000 pages/month.
deepread-tax-forms
Extract structured data from W-2s, 1099s, 1040s, and other tax forms — employer/payer, recipient, wages, withholdings, box-by-box amounts — as typed JSON. Works on PDFs and scans. Per-field confidence flags. PII redaction built in. Free 2,000 pages/month.
ai-used-resume
Generate a versioned, reviewer-scored résumé from the user's AI-coding and git history — extracts from Claude Code, Cursor, Copilot, Cline, Continue, Aider, Windsurf, Zed AI, Claude Desktop, ChatGPT/Claude.ai/Gemini/Grok/Perplexity/Mistral/Poe cloud exports, ComfyUI, Midjourney, Suno, ElevenLabs, and git commits. Renders to Markdown / DOCX / PDF across 10 locales (en_US, en_EU, en_GB, zh_TW, zh_HK, zh_CN, ja_JP, ko_KR, de_DE, fr_FR) with culture-specific layouts (JIS Z 8303 履歴書 grid, Europass, Lebenslauf, bilingual HK), optional JD-tailored bullet rewriting, and an 8-point reviewer audit with score trend. Use when the user asks to "generate my résumé", "render my résumé in Japanese", "tailor my CV for this job description", "score my résumé", or "show my résumé trend".
battle
Benchmark AI model combinations on the same coding task. Runs Claude, Antigravity CLI (agy — replaces the sunset Gemini CLI on consumer plans as of 2026-06-18), Codex CLI, Kimi (Moonshot API), and DeepSeek (OpenAI-compatible API) solo and in pairs, then scores each on tokens, cost, wall time, and output quality. Produces a leaderboard to inform future model selection. Use when asked to "battle", "benchmark models", "compare models", "which model is best", "pair programming battle", or "/battle".
deslop
Remove AI writing patterns from content. Use when reviewing blog posts, marketing copy, emails, or any customer-facing text. Checks for 22 AI-tell patterns across phrasing, rhythm, and authenticity. Trigger phrases — "deslop this", "clean up AI writing", "check for AI patterns", "remove AI tells", "content quality check", "is this sloppy".
keyword-research
Check Google Trends for keyword interest and SEO prioritization. Use when the user mentions "keyword research", "SEO", "search trends", "content strategy", "blog prioritization", "compare keywords", "trending topics", or wants to evaluate keyword opportunities.
pair-session
AI pair programming with Claude (builder) and a second model (advisor). The human observes and can intervene. Three styles: standard (Claude builds → advisor reviews), ping-pong (TDD-style alternation), and strong-style (advisor proposes → Claude implements). Use when asked for "pair session", "claude codex pair", "ai pair programming", or "/pair-session".
second-opinion
Get a second opinion from OpenAI's Codex CLI. Default model is gpt-5.5. Three modes: review (pass/fail code review on the current diff), challenge (adversarial pass — try to break it), consult (multi-turn Q&A with session persistence). Uses ChatGPT subscription auth, not an API key. Use when asked for "second opinion", "codex review", "adversarial review", "challenge this code", "cross-model review", or "/second-opinion".
create-ex
Distill an ex-girlfriend into an AI Skill. Import WeChat/iMessage/SMS/photos, generate Memories + Persona, with continuous evolution. | 把前任蒸馏成 AI Skill，导入微信/iMessage/短信/照片，生成共同记忆 + Persona，支持持续进化。
import-context
Route context pasted from another AI chat (ChatGPT, Claude, Gemini, Cursor) into the right DotAIOS files. Use when the user pastes prior conversation knowledge or asks to bring old AI memory in.
save-session
Save the current AI conversation as a clean local session summary with decisions, open threads, and action items.
research-agent
Perform grounded research and produce cited briefs.
ghostswap-partners-api
Integrate the GhostSwap Partners API to add no-KYC crypto swaps (1,600+ coins, 0–4% partner fee on top of the swap, USDT payouts) into wallets, dApps, exchanges, payment flows, or affiliate sites. Use whenever a developer asks to "add crypto swap", "embed a swap widget", "let users exchange tokens", "convert crypto to crypto", "earn commission on referred swaps", or wants a server-side REST integration that handles quote → create → status-poll without holding signing keys. Covers Bearer auth, live float and fixed-rate quotes, idempotent swap creation, status lifecycle polling, address validation, error envelope handling, rate limits, and the partner application + payout flow at partners.ghostswap.io.
office-call-skill
Build and evolve a single high-fidelity counselor system for real student-counselor communication rehearsal, distillation, correction, and reality-sync practice.
batch-process
Process multiple content pieces in parallel with queue management, priority scheduling, and progress tracking
cf-analytics
Track content quality scores, pipeline timing, and compliance trends with insights and alerts.
cf-audit
Audit content library for freshness decay, coverage gaps, and optimization opportunities.
cf-brief
Generate research-backed content briefs with keywords, competitors, intent, and SEO strategy from a topic.
cf-calendar
Plan content calendars with scheduling, deadlines, team assignments, and Google Calendar sync.
cf-connect
Set up an MCP connector with step-by-step instructions. Use to connect Notion, Canva, Webflow, etc.
cf-cowork-setup
One-shot setup that wires ContentForge for team usage in Anthropic Cowork. Verifies Cowork environment, checks for a Google Drive integration, creates the canonical Drive folder layout, and confirms the team-ready output routing. Use this the first time a Cowork user installs ContentForge OR when files aren't landing in Drive.
cf-environment
Detect the runtime environment (Cowork sandbox vs local Claude Code) and report which ContentForge capabilities work in it. Use this when the user asks 'will this work in Cowork', sees unexpected file-path behavior, or wants a capability matrix before running a long pipeline.
cf-help
Show the ContentForge user guide, available skills, pipeline overview, examples, and troubleshooting
cf-integrations
Show active and available MCP connectors with workflow impact. Integration status dashboard.
cf-style-guide
Import brand voice profiles from documents or URLs. Use when setting up or updating a brand.
cf-template
Create custom content type templates beyond the 5 built-in types with structure and quality standards.
cf-variants
Generate scored A/B test variations of headlines, hooks, CTAs, and intros ranked by optimization goal.
cf-video-script
Produce video scripts with hooks, scenes, and B-roll for YouTube, TikTok, Reels, and explainers.
content-refresh
Refresh existing content with updated data, sources, and SEO while preserving rankings and brand compliance.
contentforge
Produce publication-ready, fact-checked, brand-aligned content via 10-phase autonomous pipeline. Use for any content need.
peer-review
Use when Claude completes a spec or code implementation and needs independent review, or when the user invokes /peer-review. Triggers automatically after spec writing or code completion for production projects. Only bypass when user explicitly opts out.
codex-pr-critic
Critic phase for codex-pr-lessons playbook — analyze a PR and extract quality signals
codex-pr-distill
Distillation phase for codex-pr-lessons playbook — compress raw learnings into patterns and update skills
codex-pr-plan
Plan phase for codex-pr-lessons playbook — load state, determine next batch of PRs to analyze
kookr-codex-claude-compatibility
Make Codex CLI behave more like Claude Code for Kookr by preserving the known fork, branch, build, deploy, daily upstream sync, and live-verification workflow for Claude-compatible skills, agents, settings, hooks, and related UX.
kookr-codex-pr-state
State management for codex-pr-lessons playbook — persist learnings and update tracking state
pr-contribution-excellence
Patterns for excellent open-source PR contributions, distilled from analyzing real PRs across repositories
keyword-intelligence
Use when analyzing keyword data for SEO, AEO, or GEO strategy from CSV exports of Semrush, Ahrefs, Google Search Console, Moz, Ubersuggest, or any keyword research tool. Provides offline keyword intelligence covering intent classification, cluster mapping, AI Overview eligibility, generative engine opportunity (ChatGPT, Perplexity, Claude, Gemini), quick-win identification, cannibalization detection, content gap analysis, striking-distance scoping, branded-versus-non-branded segmentation, question and PAA mapping, seasonality detection, and long-tail handling for English, French, German, and Spanish. Triggers on tasks involving keyword research, search demand analysis, content strategy planning, AI search visibility, or keyword CSV files.
playground
Generate throwaway, self-contained HTML files for in-the-loop decisions. Use when the user needs to see, drag, toggle, slide, or compare options to decide. Static-default; interactive only when it changes the decision.
review-browser
Browser QA review - drives a headless browser to test a running web app. Use for verifying visual layout, interactive flows, error states, and runtime behavior.
review-code
Code quality review - security, logic, performance, maintainability. Use for reviewing code changes like bug fixes, features, refactors, scripts.
review-commands
Slash command prompt review - prompt quality, workflow completeness, cross-command consistency. Use for reviewing .claude/commands/*.md or .claude/skills/*/SKILL.md files.
review-copy
Copy clarity and reader orientation review - checks whether content orients a fresh reader. Use for reviewing web pages, blog posts, landing pages, guides, prototypes, and any reader-facing deliverable.
review-deps
Dependency and supply chain security review. Checks for known CVEs, outdated packages, single-maintainer risks, and license issues.
review-full
Pre-release cross-domain review with go/no-go recommendation. Use for release gates, major milestones, or when multiple domains changed and you need a single assessment.
review-plan
Plan compliance review - checks if implementation matches the plan. Use for verifying feature completeness, scope drift, and quality gates against a PLAN-*.md file.
review-ux
UX quality review - usability, accessibility, user flows, and how the UI feels. Use for evaluating user experience from code, markup, specs, and screenshots.
resource-scout
Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, and registries. Use when (1) user asks to find skills for a specific task, (2) looking for MCP servers to connect external tools, (3) user mentions "find skill", "search MCP", "discover tools", or "what skills exist for X", (4) before creating a custom skill to check if one already exists.
algorithmic-art
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
canvas-design
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
claude-api
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no p
fallow
Codebase intelligence for JavaScript and TypeScript. Free static layer reports quality, changed-code risk, cleanup opportunities (unused files, exports, types, dependencies), code duplication, circular dependencies, complexity hotspots, architecture boundary violations, and feature flag patterns. Runtime coverage merges production execution data into the same health report for hot-path review, cold-path deletion confidence, and stale-flag evidence - a single local capture is free, while continuous/cloud runtime monitoring is paid. 97 framework plugins, zero configuration, sub-second static analysis. Use when asked to analyze code health, audit PR risk, find cleanup opportunities or unused code, detect duplicates, check circular dependencies, audit complexity, check architecture boundaries, detect feature flags, clean up the codebase, auto-fix issues, merge runtime coverage, or run fallow.
feature-loop
Coding agent for the project-level harness — one feature per session, must verify, must be mergeable.
offensive-osint
Operational arsenal for external red-team and bug-bounty reconnaissance. Concrete wordlists (28 Swagger paths, 13 GraphQL paths, 35 high-risk ports, 6 missing-header findings, 15 always-on HTTP checks, 5 SAML paths, cloud bucket permutations, JS guess-paths, vendor product fingerprints for Citrix/F5/Pulse/Fortinet/Cisco/PaloAlto/VMware/Exchange, cloud-native service fingerprints, container/K8s exposure paths, CI/CD platform paths, documentation/wiki leak paths, WHOIS/RDAP, DNS record catalog, Wayback CDX recipes), 43+-pattern secret-regex catalog (incl. modern AI API keys: Anthropic/OpenAI/HuggingFace/Cloudflare/DigitalOcean/npm/PyPI/Docker Hub/Atlassian/DataDog/Sentry/ngrok), 80+ dork corpus across 9 categories, GitHub code-search dorks, copy-paste curl/httpie probes for every check, post-discovery enumeration workflows (AWS/GitHub/Slack/JWT/PMAK/Anthropic/OpenAI), endpoint interest scoring rubric (0–100), mobile app ownership confidence, identity-fabric endpoints (Entra/Okta/ADFS/Google/SAML/M365 Teams+Shar
osint-methodology
Comprehensive OSINT methodology for external red-team operations and authorized attack-surface assessments. Covers the 5-stage recon pipeline, asset-graph discipline, severity rubric, confidence upgrade workflows, time budgeting, identity-fabric mapping, breach×identity correlation, detectability tagging, detection-aware probing, WAF/CDN bypass, vulnerability prioritization, phishing infrastructure planning, bug bounty submission, and client deliverable templates. Use when planning or executing reconnaissance against authorized targets, mapping an organization's external attack surface, investigating a person/entity, or producing client deliverables.
image-generation
Generate images for blog banners, social posts, LinkedIn graphics, and marketing materials using AI image generation APIs. Multi-platform sizing, compression workflows, and prompt engineering patterns.
beeper-chat
Interactive Beeper chat assistant with voice transcription. Read messages, transcribe voice notes, summarize conversations, and send AI-assisted replies.
paper-ecosystem
Academic paper / preprint / position paper の執筆・レビューエコシステムの orchestrator。SSRN / arXiv / Zenodo / journal venue 向けの **harness-neutral な学術コンテンツ** を書く / レビューするときに使う。paper-writing / paper-reviewer / source-fidelity-checker / vocabulary-consistency-checker / clarity-reviewer / citation-formatter の役割境界と使い分け、Source Fidelity Rules、Vocabulary Consistency Rules、Academic Voice Rules、Reader Clarity Rules、Citation Format Rules を正本として保持する。人間向け blog / essay には `writing-ecosystem`、AI 向け doc には `llms-txt-writer` を使う。
shipkit-prompt-audit
Audit LLM prompt pipeline architecture — decomposition, parallelization, chain integrity, schema validation, fallback paths. Finds structural issues no linter catches.
api-catalog
Reference guide for connecting popular APIs to Home Assistant via Node-RED, YAML, or custom integrations. Covers authentication, endpoints, and complete working examples for: energy APIs (Tibber, Nordpool), weather (SMHI, OpenWeatherMap, yr.no), transport (SL, Trafikverket, Resrobot), smart home clouds (Shelly, Tuya, Philips Hue, IKEA), and global APIs (OpenAI, Spotify, Google Calendar, Telegram, GitHub). Use this skill whenever the user mentions a specific external service, API, or data source they want to connect to Home Assistant - even if they don't say "API".
async-job-orchestration
Manage long-running async LLM jobs. Use for tasks >2min, parallel jobs, or non-blocking execution. Covers cache-aware `promptParts`, `cache-state://` MCP resources, and the Claude `cache_ttl_expiring_soon` warning.
implement-review-fix
Run implement-review-fix cycle using multiple LLMs (Claude, Codex, Gemini, Grok, Mistral). Use for features, bugs, or refactoring with multi-LLM collaboration. Mistral defaults to `--agent auto-approve`; current Vibe defaults session logging on, and doctor flags explicit `[session_logging] enabled = false` before session-continuity use.
multi-llm-review
Parallel code reviews across Claude, Codex, Gemini, Grok, and Mistral. Use for quality analysis, bug finding, or security audit.
provider-codex
Track and maintain the upstream OpenAI Codex CLI contract. Use when OpenAI ships a Codex release, when a `codex exec` flag/sandbox/approval/resume behaviour changes, or when an upstream scan flags drift. Process guidance only — `src/upstream-contracts.ts` is the mechanical source of truth.
secure-orchestration
Security-conscious LLM orchestration with approval gates across Claude, Codex, Gemini, Grok, and Mistral. Use for high-risk operations, permissions, auditing.
hono
Use for Hono (web framework) development when Codex needs to consult Hono documentation or test Hono apps via the `hono` CLI. Trigger on requests about Hono CLI usage, searching/browsing Hono docs, or testing Hono routes without running a server.
onequery-blog-images
Generate or replace OneQuery blog thumbnail images and article diagram images for apps/landing. Use when Codex needs to create blog list thumbnails, social share thumbnails, in-article architecture diagrams, update blog imageSrc references, follow the OneQuery diagram design system, or use the bundled assets/diagram-design-system.png visual reference.
claude-codex-bridge
Bridge Codex and Claude for bidirectional execution review. Use when Codex should audit Claude handoffs, send Codex/GPT-5.5 execution results to Claude for audit, forward audit feedback, inspect .agent-bridge/inbox files, or run an automated Claude-Codex review loop.
baoyu-image-gen
AI image generation with OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream, Replicate and Agnes APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.
baoyu-imagine
AI image generation with OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, MiniMax, Jimeng, Seedream and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.
codex-image
Generate an image via OpenAI's gpt-image-1 model through the Codex CLI. Use when user asks to "generate an image", "create an image", "make a picture of", "render a graphic", "draw something", or wants visual content via Codex. Requires codex-cli >= 0.125.0 with the `image_generation` feature flag enabled (stable + on-by-default since 0.125).
codex-verify
Verifies what the assistant claims to have done — proves the work against actual state using OpenAI Codex with a read-only tool surface. Use when the user asks to "verify with Codex", "check the assistant's claims", "did Codex actually do what it said", "verify this turn", "prove the work", or wants a trust check distinct from issue review. Different from `/codex-review`, which finds new issues.
brand-guidelines
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
changelog-generator
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
competitive-ads-extractor
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
content-research-writer
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
domain-name-brainstormer
Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.
file-organizer
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
image-enhancer
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
internal-comms
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
invoice-organizer
Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of automated organization.
lead-research-assistant
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
meeting-insights-analyzer
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
notion-knowledge-capture
Transforms conversations and discussions into structured documentation pages in Notion. Captures insights, decisions, and knowledge from chat context, formats appropriately, and saves to wikis or databases with proper organization and linking for easy discovery.
notion-meeting-intelligence
Prepares meeting materials by gathering context from Notion, enriching with Claude research, and creating both an internal pre-read and external agenda saved to Notion. Helps you arrive prepared with comprehensive background and structured meeting docs.
notion-research-documentation
Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.
notion-spec-to-implementation
Turns product or tech specs into concrete Notion tasks that Claude code can implement. Breaks down spec pages into detailed implementation plans with clear tasks, acceptance criteria, and progress tracking to guide development from requirements to completion.
raffle-winner-picker
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
video-downloader
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
claude-api
Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements). TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a Claude feature (caching, thinking, compaction, tool use, batch, files, citations, memory) or model (Opus/Sonnet/Haiku) in a file; questions about prompt caching / cache hit rate in an Anthropic SDK project. SKIP: file imports `openai`/other-provider SDK, filename like `*-openai.py`/`*-generic.py`, provider-neutral code, general programming/ML.
prism
PRISM — a structured, multi-session, multi-vendor LLM-orchestrated audit and research framework (orchestration on Claude, Opus-class). Trigger when the user invokes PRISM by name or by a recognizable PRISM construct: PRISM / PRISM audit / begin a PRISM audit; a Master file or any filename matching *_master_p*.md; Prompt Strategy; the Lens Library; Vendor Selection or Vendor Triangulation; Setup probes P1–P7; Monitors M1–M12; Standing Principles SP-*; the Execution Envelope / Self-check / Output triple contract; Dispatch register or Dispatch shape (equivalence / split / limitation-named); the "What's next" artifact; context bands 🟢🟡🟠🔴; migration handoff; the P0/P1 boundary; three-layer readiness; Update sessions or point refresh; or Setup artifacts (Decision brief / Stakeholder register / Claim inventory / Jurisdiction map). Also trigger when the user attaches a Master or Lens Library file. Do NOT trigger for generic audit, research, or prompt-engineering work that does not invoke PRISM by name or construc
doctor
Audits any project for security, test coverage, and Claude Code automation. 46 checks across 6 layers: secrets, CLAUDE.md, hooks, skills, agents, rules, MCP, CI, memory. Adaptive scoring — auto-detects project maturity (Starter/Growing/Mature/Pro). Diagnoses gaps, prescribes project-specific fixes, applies them. Usage: /doctor — full audit (all 6 layers) /doctor quick — TOP-3 priorities + score (30 seconds) /doctor scan — diagnose only (no changes) /doctor fix — prescribe + apply fixes /doctor layer <N> — audit specific layer (0-5) /doctor verify — health check Triggers: "/doctor", "audit", "setup automation", "configure Claude Code", "project health", "what's missing", "security check", "аудит", "проверь проект"
cre-brokerage
CRE Brokerage Investment Sales v1 - 8 specialist skills for U.S. seller-side commercial investment sales brokers, covering assignment intake, broker opinion of value, listing proposal, OM and teaser drafting, buyer process management, bid leveling, negotiation support, and PSA-to-close coordination.
cre-document-ingestion
CRE Document Ingestion suite — 4 specialist skills for classifying and extracting structured data from deal documents including rent rolls, T-12 financials, and offering memoranda.
cre-due-diligence
CRE Due Diligence analysis suite — 7 specialist skills for multifamily property analysis including rent roll validation, expense benchmarking, market study, physical inspection, environmental review, title review, and tenant credit assessment.
cre-financing
CRE Financing analysis suite — 3 specialist skills for lender identification, quote comparison, and term sheet assembly for multifamily acquisition debt sourcing.
cre-industrial
CRE Industrial analysis suite - 8 specialist skills for U.S. industrial acquisitions, covering market study, lease roster analysis, lease abstraction, tenant credit, physical inspection, underwriting, financing fit, and investment committee memo writing.
cre-legal
CRE Legal review suite — 6 specialist skills for PSA review, title & survey analysis, estoppel tracking, loan document review, insurance coordination, and transfer document preparation for multifamily acquisitions.
cre-underwriting
CRE Underwriting analysis suite — 3 specialist skills for building pro formas, running sensitivity scenarios, and writing investment committee memos for multifamily acquisitions.
humanizer
Humanize text: strip AI-isms and add real voice.
ai-video-remix
AI-driven video remix generator that uses ShotAI semantic search + LLM planning + Remotion rendering to produce styled video compositions from a user's local video library. Use when the user asks to create a video remix, highlight reel, travel vlog, sports highlight, nature montage, or any styled video cut from their library. Triggers on requests like "帮我做一个混剪", "make a travel vlog from my library", "create a sports highlight", or "generate a video with my footage". Requires ShotAI (local MCP server) to be running. Works with any OpenAI-compatible LLM API or falls back to heuristic mode with no API key.
codex-cli-bridge
Bridge between Claude Code and OpenAI Codex CLI - generates AGENTS.md from CLAUDE.md, provides Codex CLI execution helpers, and enables seamless interoperability between both tools
prompt-factory
World-class prompt powerhouse that generates production-ready mega-prompts for any role, industry, and task through intelligent 7-question flow, 69 comprehensive presets across 15 professional domains (technical, business, creative, legal, finance, HR, design, customer, executive, manufacturing, R&D, regulatory, specialized-technical, research, creative-media), multiple output formats (XML/Claude/ChatGPT/Gemini), quality validation gates, and contextual best practices from OpenAI/Anthropic/Google. Supports both core and advanced modes with testing scenarios and prompt variations.
openclaw-ops
Complete OpenClaw operations skill: configure models/providers/channels/tools/agents/cron, manage sessions and sub-agents, control paired nodes (camera/location/notifications), and troubleshoot gateway issues. Use when: (1) changing AI models or providers, (2) managing cron jobs, (3) configuring channels (Telegram/Discord/WhatsApp), (4) troubleshooting gateway/model/channel failures, (5) managing sessions or sub-agents, (6) controlling paired mobile devices, (7) any 'fix yourself', 'change settings', 'what's running', 'restart', 'add model', 'phone camera', 'send notification' request.
azure-ai-foundry-local
Expert knowledge for Microsoft Foundry Local (aka Azure AI Foundry Local) development including troubleshooting, best practices, decision making, configuration, and integrations & coding patterns. Use when using Foundry Local CLI, chat/transcription APIs, tools, OpenAI/LangChain clients, or upgrading legacy SDKs, and other Microsoft Foundry Local related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Tools (use microsoft-foundry-tools), Azure Local (use azure-local).
codex-cli-runtime
Internal helper contract for calling the codex-companion runtime from Claude Code
gpt-5-4-prompting
Internal guidance for composing Codex and GPT-5.4 prompts for coding, review, diagnosis, and research tasks inside the Codex Claude Code plugin
goal
Goal Prompt design coach. Turns vague tasks into precise goal prompts that fit the five-element framework (outcome / verification / constraint / iteration policy / error handling) plus an optional rubric — so Claude Code's /goal, OpenAI Codex's /goal, or Manus Agent's /goal has a clear target to iterate against. 把模糊任務透過反問轉成五元素 + rubric 的精確 goal prompt。
summarize
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
docker-sandbox
Create, manage, and execute agent tools (claude, codex) inside Docker sandboxes for isolated code execution. Use when running agent loops, spawning tool subprocesses, or any task requiring process isolation. Triggers on "sandbox", "isolated execution", "docker sandbox", "safe agent execution", or when working on agent loop infrastructure.
style-tells
Scrubs the three surface tells that make prose feel AI-generated, padded, or jargon-heavy. Three targets behind one skill, picked via the --target arg. em-dashes (default off in cold email / memo / Slack, max one per page in op-eds), adverbs (the -ly and intensifier pile), jargon (the Silicon Valley / consultant kill-list plus AI-tell phrases). Use when the user says "kill the AI tells," "scrub jargon," "remove em-dashes," "cut the adverbs," "make this sound human," "less corporate," "sounds like ChatGPT," "—," "very," "really," "leverage," "synergy," "delve," "tapestry." Pass --target em-dashes|adverbs|jargon|all (default all).
tell-them-something-new
Cuts opening sentences that recap what the recipient already knows about themselves, their company, or their own work. Implements Konrad's rule 2 ("begin with something they don't know — tell me a secret about the future") and Kramon's rule 4. Use when a draft opens with flattery, a summary of the reader's accomplishments, restating their stated thesis, or reciting biographical facts they already have. Triggers on "they already know," "rewrite the opener," "stop with the flattery," "first sentence is weak," "secret about the future," "tell them something new."
starknet-agentic-skills
Routes Starknet skill invocations to focused modules for contract authoring, testing, optimization, deployment, and audit workflows.
agenticx-a2a-connector
Guide for using the A2A (Agent-to-Agent) communication protocol in AgenticX including agent discovery, skill invocation, remote agent cards, and distributed agent systems. Use when the user wants agents to communicate with each other, set up distributed agent systems, invoke remote agent skills, or build agent-to-agent workflows.
agenticx-agent-builder
Guide for creating and configuring AgenticX agents with roles, goals, tools, LLM providers, and execution strategies. Use when the user wants to create agents, assign tools to agents, configure LLM backends, set up agent execution, or build multi-agent systems.
agenticx-deployer
Guide for deploying AgenticX agents to production including Docker containerization, Kubernetes orchestration, Volcengine AgentKit cloud deployment, and API server setup. Use when the user wants to deploy agents, containerize applications, set up Kubernetes, configure cloud deployment, or run the AgenticX API server in production.
agenticx-memory-architect
Guide for setting up and using the AgenticX memory system including Mem0 integration, long-term memory, context management, and memory-enhanced agents. Use when the user wants to add memory to agents, persist conversation history, build memory-aware workflows, or integrate with Mem0 for long-term recall.
agenticx-quickstart
AgenticX zero-to-hero quickstart guide. Use when the user wants to get started with AgenticX, create their first project, build their first agent, or run their first workflow. Covers installation, project scaffolding, agent creation, task execution, and CLI basics.
agenticx-skill-manager
Guide for managing AgenticX skills including listing, searching, installing, uninstalling, publishing, and running a skill registry server. Use when the user wants to manage skills, find available skills, publish custom skills, set up a skill registry, or understand the skill ecosystem.
agenticx-tool-creator
Guide for creating custom tools in AgenticX including function decorator tools, MCP tool integration, tool registries, and remote tool access. Use when the user wants to create tools for agents, integrate external APIs as tools, build MCP servers, or extend agent capabilities with custom functions.
agenticx-workflow-designer
Guide for designing and running AgenticX workflows including sequential pipelines, parallel execution, graph-based orchestration, conditional routing, and trigger services. Use when the user wants to create workflows, orchestrate multiple agents, design agent pipelines, or set up complex multi-step processes.
api-gateway
API gateway for calling third-party APIs with managed auth. Use this skill when users want to interact with external services like Slack, HubSpot, Salesforce, Google Workspace, Stripe, and more.
claude-skill-rust
Guide for Rust development including code style, testing, building, and quality checks using cargo tools. Apply when working with Rust code, Cargo.toml, or running cargo commands.
clawsec-nanoclaw
Use when checking for security vulnerabilities in NanoClaw skills, before installing new skills, or when asked about security advisories affecting the bot
ctx-purge
Purge the context-mode knowledge base. Permanently deletes all indexed content and resets session stats. This is destructive and cannot be undone. Trigger: /context-mode:ctx-purge
deep-clean
Full-spectrum consolidation of AI agent configuration files. Goes beyond memory-only dream skills: audits and optimizes context files (CLAUDE.md/AGENTS.md/GEMINI.md/.cursorrules), rules, skills, and memory. Detects stale references, dead file paths, duplicated rules, stack mismatches, contradictions, vague directives, and bloated indexes. Works on any repo, any stack, any agent.
reddit-auth
Reddit authentication management skill. Check login status, log out. Triggered when user asks to check Reddit login status or log out.
reddit-content-ops
Reddit compound content operations skill. Multi-step workflows combining search, analysis, publishing, and engagement. Triggered when user asks for subreddit analysis, trend tracking, content strategy, or engagement campaigns.
reddit-explore
Reddit content discovery skill. Browse subreddits, search posts, view post details, check user profiles. Triggered when user asks to search Reddit, browse subreddits, view posts, or check users.
reddit-interact
Reddit social interaction skill. Comment, reply, upvote, downvote, save posts. Triggered when user asks to comment, reply, vote, or save Reddit posts.
reddit-publish
Reddit content publishing skill. Submit text posts, link posts, and image posts to subreddits. Triggered when user asks to post, submit, or share content on Reddit.
reddit-skills
Reddit automation skill collection. Supports authentication, content publishing, search & discovery, social interactions, and compound operations. Triggered when a user asks to operate Reddit (post, search, comment, login, analyze, upvote, save).
agenticx-a2a-connector
Guide for using the A2A (Agent-to-Agent) communication protocol in AgenticX including agent discovery, skill invocation, remote agent cards, and distributed agent systems. Use when the user wants agents to communicate with each other, set up distributed agent systems, invoke remote agent skills, or build agent-to-agent workflows.
agenticx-agent-builder
Guide for creating and configuring AgenticX agents with roles, goals, tools, LLM providers, and execution strategies. Use when the user wants to create agents, assign tools to agents, configure LLM backends, set up agent execution, or build multi-agent systems.
agenticx-deployer
Guide for deploying AgenticX agents to production including Docker containerization, Kubernetes orchestration, Volcengine AgentKit cloud deployment, and API server setup. Use when the user wants to deploy agents, containerize applications, set up Kubernetes, configure cloud deployment, or run the AgenticX API server in production.
agenticx-memory-architect
Guide for setting up and using the AgenticX memory system including Mem0 integration, long-term memory, context management, and memory-enhanced agents. Use when the user wants to add memory to agents, persist conversation history, build memory-aware workflows, or integrate with Mem0 for long-term recall.
agenticx-quickstart
AgenticX zero-to-hero quickstart guide. Use when the user wants to get started with AgenticX, create their first project, build their first agent, or run their first workflow. Covers installation, project scaffolding, agent creation, task execution, and CLI basics.
agenticx-skill-manager
Guide for managing AgenticX skills including listing, searching, installing, uninstalling, publishing, and running a skill registry server. Use when the user wants to manage skills, find available skills, publish custom skills, set up a skill registry, or understand the skill ecosystem.
agenticx-tool-creator
Guide for creating custom tools in AgenticX including function decorator tools, MCP tool integration, tool registries, and remote tool access. Use when the user wants to create tools for agents, integrate external APIs as tools, build MCP servers, or extend agent capabilities with custom functions.
agenticx-workflow-designer
Guide for designing and running AgenticX workflows including sequential pipelines, parallel execution, graph-based orchestration, conditional routing, and trigger services. Use when the user wants to create workflows, orchestrate multiple agents, design agent pipelines, or set up complex multi-step processes.
api-gateway
API gateway for calling third-party APIs with managed auth. Use this skill when users want to interact with external services like Slack, HubSpot, Salesforce, Google Workspace, Stripe, and more.
claude-skill-rust
Guide for Rust development including code style, testing, building, and quality checks using cargo tools. Apply when working with Rust code, Cargo.toml, or running cargo commands.
clawsec-nanoclaw
Use when checking for security vulnerabilities in NanoClaw skills, before installing new skills, or when asked about security advisories affecting the bot
ctx-purge
Purge the context-mode knowledge base. Permanently deletes all indexed content and resets session stats. This is destructive and cannot be undone. Trigger: /context-mode:ctx-purge
deep-clean
Full-spectrum consolidation of AI agent configuration files. Goes beyond memory-only dream skills: audits and optimizes context files (CLAUDE.md/AGENTS.md/GEMINI.md/.cursorrules), rules, skills, and memory. Detects stale references, dead file paths, duplicated rules, stack mismatches, contradictions, vague directives, and bloated indexes. Works on any repo, any stack, any agent.
reddit-auth
Reddit authentication management skill. Check login status, log out. Triggered when user asks to check Reddit login status or log out.
reddit-content-ops
Reddit compound content operations skill. Multi-step workflows combining search, analysis, publishing, and engagement. Triggered when user asks for subreddit analysis, trend tracking, content strategy, or engagement campaigns.
reddit-explore
Reddit content discovery skill. Browse subreddits, search posts, view post details, check user profiles. Triggered when user asks to search Reddit, browse subreddits, view posts, or check users.
reddit-interact
Reddit social interaction skill. Comment, reply, upvote, downvote, save posts. Triggered when user asks to comment, reply, vote, or save Reddit posts.
reddit-publish
Reddit content publishing skill. Submit text posts, link posts, and image posts to subreddits. Triggered when user asks to post, submit, or share content on Reddit.
reddit-skills
Reddit automation skill collection. Supports authentication, content publishing, search & discovery, social interactions, and compound operations. Triggered when a user asks to operate Reddit (post, search, comment, login, analyze, upvote, save).
agenticx-a2a-connector
Guide for using the A2A (Agent-to-Agent) communication protocol in AgenticX including agent discovery, skill invocation, remote agent cards, and distributed agent systems. Use when the user wants agents to communicate with each other, set up distributed agent systems, invoke remote agent skills, or build agent-to-agent workflows.
agenticx-agent-builder
Guide for creating and configuring AgenticX agents with roles, goals, tools, LLM providers, and execution strategies. Use when the user wants to create agents, assign tools to agents, configure LLM backends, set up agent execution, or build multi-agent systems.
agenticx-deployer
Guide for deploying AgenticX agents to production including Docker containerization, Kubernetes orchestration, Volcengine AgentKit cloud deployment, and API server setup. Use when the user wants to deploy agents, containerize applications, set up Kubernetes, configure cloud deployment, or run the AgenticX API server in production.
agenticx-memory-architect
Guide for setting up and using the AgenticX memory system including Mem0 integration, long-term memory, context management, and memory-enhanced agents. Use when the user wants to add memory to agents, persist conversation history, build memory-aware workflows, or integrate with Mem0 for long-term recall.
agenticx-quickstart
AgenticX zero-to-hero quickstart guide. Use when the user wants to get started with AgenticX, create their first project, build their first agent, or run their first workflow. Covers installation, project scaffolding, agent creation, task execution, and CLI basics.
agenticx-skill-manager
Guide for managing AgenticX skills including listing, searching, installing, uninstalling, publishing, and running a skill registry server. Use when the user wants to manage skills, find available skills, publish custom skills, set up a skill registry, or understand the skill ecosystem.
agenticx-tool-creator
Guide for creating custom tools in AgenticX including function decorator tools, MCP tool integration, tool registries, and remote tool access. Use when the user wants to create tools for agents, integrate external APIs as tools, build MCP servers, or extend agent capabilities with custom functions.
agenticx-workflow-designer
Guide for designing and running AgenticX workflows including sequential pipelines, parallel execution, graph-based orchestration, conditional routing, and trigger services. Use when the user wants to create workflows, orchestrate multiple agents, design agent pipelines, or set up complex multi-step processes.
api-gateway
API gateway for calling third-party APIs with managed auth. Use this skill when users want to interact with external services like Slack, HubSpot, Salesforce, Google Workspace, Stripe, and more.
claude-skill-rust
Guide for Rust development including code style, testing, building, and quality checks using cargo tools. Apply when working with Rust code, Cargo.toml, or running cargo commands.
clawsec-nanoclaw
Use when checking for security vulnerabilities in NanoClaw skills, before installing new skills, or when asked about security advisories affecting the bot
ctx-purge
Purge the context-mode knowledge base. Permanently deletes all indexed content and resets session stats. This is destructive and cannot be undone. Trigger: /context-mode:ctx-purge
deep-clean
Full-spectrum consolidation of AI agent configuration files. Goes beyond memory-only dream skills: audits and optimizes context files (CLAUDE.md/AGENTS.md/GEMINI.md/.cursorrules), rules, skills, and memory. Detects stale references, dead file paths, duplicated rules, stack mismatches, contradictions, vague directives, and bloated indexes. Works on any repo, any stack, any agent.
reddit-auth
Reddit authentication management skill. Check login status, log out. Triggered when user asks to check Reddit login status or log out.
reddit-content-ops
Reddit compound content operations skill. Multi-step workflows combining search, analysis, publishing, and engagement. Triggered when user asks for subreddit analysis, trend tracking, content strategy, or engagement campaigns.
reddit-explore
Reddit content discovery skill. Browse subreddits, search posts, view post details, check user profiles. Triggered when user asks to search Reddit, browse subreddits, view posts, or check users.
reddit-interact
Reddit social interaction skill. Comment, reply, upvote, downvote, save posts. Triggered when user asks to comment, reply, vote, or save Reddit posts.
reddit-publish
Reddit content publishing skill. Submit text posts, link posts, and image posts to subreddits. Triggered when user asks to post, submit, or share content on Reddit.
reddit-skills
Reddit automation skill collection. Supports authentication, content publishing, search & discovery, social interactions, and compound operations. Triggered when a user asks to operate Reddit (post, search, comment, login, analyze, upvote, save).
co-scientist-pipeline
Run the full Co-Scientist pipeline for one research run.
co-scientist-run
Bootstrap an existing Co-Scientist run directory from Codex.
co-scientist-start
Start one Co-Scientist run from Codex using a research goal or imported brief.
convergence-check
Evaluate whether a hypothesis newly entered the current top-k set and update the convergence counter deterministically.
evolution-strategy-supervisor
Choose exactly one concrete evolution strategy for the active evolution round.
hypothesis-deep-verification
Run the assumption decomposition and deep verification review for a hypothesis.
hypothesis-evolution-loop
Run the iterative evolution loop from the current persisted run state until convergence.
hypothesis-evolve-coherence
Generate exactly one child hypothesis that improves logical coherence, causal consistency, and assumption hygiene.
hypothesis-evolve-combination
Generate exactly one child hypothesis by combining complementary strengths from multiple parent hypotheses.
hypothesis-evolve-feasibility
Generate exactly one child hypothesis that is more experimentally and operationally feasible than its parent.
hypothesis-evolve-grounding
Generate exactly one grounded child hypothesis by strengthening evidence, specificity, and literature support.
hypothesis-evolve-inspiration
Generate exactly one cross-parent child hypothesis by transferring a useful principle from one parent context into another.
hypothesis-evolve-out-of-box
Generate exactly one divergent but still testable child hypothesis that challenges the shared assumptions of the parent set.
hypothesis-evolve-simplification
Generate exactly one child hypothesis that preserves the core idea while reducing unnecessary complexity.
hypothesis-full-review
Run the full literature-grounded review for a hypothesis.
hypothesis-generate-assumptions
Generate exactly one hypothesis candidate by enumerating and combining testable assumptions.
hypothesis-generate-debate
Generate exactly one hypothesis candidate through a structured scientific debate.
hypothesis-generate-literature
Generate exactly one literature-grounded hypothesis candidate for the active round.
hypothesis-generation-pipeline
Dispatch one enabled generation strategy for a given `ResearchPlan`.
hypothesis-proximity-update
Update hypothesis proximity state by invoking the canonical embedding bridge for one hypothesis.
hypothesis-ranking-pipeline
Update ranking artifacts for one reviewed hypothesis using canonical placement-opponent selection, ranked-frontier selection, tournament judgments, and Elo updates.
hypothesis-review-pipeline
Run the decomposed review pipeline for a single hypothesis and persist each review stage as a structured artifact.
hypothesis-simulation-review
Simulate the hypothesis mechanism and identify failure scenarios.
insights-from-reviews
Extract recurring critique patterns from the completed review of a hypothesis.
island-select
Select the next island strategy and parent hypothesis set for one evolution round.
literature-search
Run the canonical literature search bridge for one evidence query and persist traceable evidence artifacts.
ranking-elo-update
Apply deterministic Elo updates for one completed tournament batch, persist touched hypotheses, and write the ranking update receipt.
research-config
Generate a `ResearchPlan` from `input.md` or equivalent raw research input.
research-overview-pipeline
Generate the final research overview from the top-ranked hypotheses.
strategy-router
Produce the current `state/STRATEGY_PLAN.json` bundle for configuration, generation, review, evolution, or overview routing.
geo-fundamentals
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
preset-admin
Manage Preset teams, workspaces, memberships, invites, role identifiers, seat checks, and audit logs through direct Management API calls. Use only for direct API workflows; Do not use for MCP-only work.
preset-api
Prepare direct Preset API access: auth, JWT exchange, base URLs, pagination, Rison parameters, response handling, and shared API setup. Use only for direct API workflows; Do not use for MCP-only work.
preset-cli
Drive Preset's `sup` CLI (PyPI package `superset-sup`) for shell, scripting, CI/CD, and agent-driven Preset workflows. Use only for CLI workflows; Do not use for MCP-only work or for direct HTTP/SDK code paths.
preset-cli-mutations
State-changing Preset `sup` CLI workflows: chart/dashboard/dataset push, user push/invite, destructive flags, and cross-workspace sync. Use only for CLI mutation workflows. Do not use for MCP-only work. Do not use for direct HTTP/SDK mutations.
preset-datasets
Inspect Preset workspace datasets, database metadata, schemas, tables, columns, metrics, and dataset/database workflow routing through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.
preset-mcp
Route Superset MCP tool workflows, source-of-truth checks, and surface-boundary decisions. Use only for MCP tool workflows; do not use for direct API work.
preset-mcp-sqllab
Use Superset MCP tools for SQL execution, SQL Lab links, and saved SQL queries. Use only for MCP tool workflows; do not use for direct API work.
preset-mcp-visualization
Use Superset MCP tools for Explore links, chart configuration discovery, chart previews, saved charts, and chart updates. Use only for MCP tool workflows; do not use for direct API work.
visual-architect
Transform research papers into professional visual schemas. Analyzes paper logic, selects optimal layout patterns, and generates detailed prompts for AI image generation.
codex-workflows
Run a dynamic-workflow script on a local Codex App Server — orchestrate many Codex / GPT agents (the agent / parallel / pipeline / phase / budget DSL) instead of Claude subagents, for codebase audits, large migrations, and multi-agent review or research. Give it one or two rough sentences and it compiles the right harness for you. Manual-invoke only via /codex-workflows.
boss-briefing
Vault health check — workflow pattern analysis, profile sync, session gap recovery, persona rule proposals
briefing-vault
Initialize, manage, and search the per-project .briefing/ vault. Obsidian-compatible persistent knowledge base.
harness-init
Scaffold a docs/ harness (ARCHITECTURE, DESIGN, PLANS, QUALITY_SCORE, RELIABILITY plus design-docs/, exec-plans/, references/). Idempotent — never overwrites. Use once when adopting the harness pattern in a repo lacking docs/ structure.
mem9-recall
Search shared memories from past sessions. Use when the user's question could benefit from historical context, past decisions, project knowledge, or team expertise.
mem9-store
Save important information to shared memory. Use when the user asks you to remember, note down, or save something for future sessions.
spec-quality-review
Run deterministic spec defect analysis before compliance extraction.
aeo-audit
Use when the user wants to assess how their brand appears in AI-powered search and answer engines like ChatGPT, Perplexity, Google AI Overviews, and Gemini.
aeo-geo
Invoke when the user asks about AI visibility, answer engine optimization, generative engine optimization, how their brand appears in ChatGPT/Perplexity/Google AI Overviews, citation optimization, entity consistency across AI platforms, or structured data for AI citation.
dark-funnel
Use when the user wants to map the invisible buyer journey — understand how prospects discover and evaluate the brand through Reddit, AI chatbots, podcasts, word-of-mouth, and other untrackable channels.
hermes-weekly
Produce a weekly "What's new in Hermes" digest by summarizing merged PRs + active issues from NousResearch/hermes-agent
geo-content
Content quality and E-E-A-T assessment for AI citability — evaluate experience, expertise, authoritativeness, trustworthiness, and content structure
geo-platform-optimizer
Platform-specific AI search optimization — audit and optimize for Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot individually
geo-report
Generate a professional, client-facing GEO report combining all audit results into a single deliverable with scores, findings, and prioritized actions
geo-report-pdf
Generate a professional PDF report from GEO audit data using ReportLab. Creates a polished, client-ready PDF with score gauges, bar charts, platform readiness visualizations, color-coded tables, and prioritized action plans.
geo-schema
Schema.org structured data audit and generation optimized for AI discoverability — detect, validate, and generate JSON-LD markup
geo-technical
Technical SEO audit with GEO-specific checks — crawlability, indexability, security, performance, SSR, and AI crawler access
advanced-evaluation
This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.
bdi-mental-states
This skill should be used when the user asks to "model agent mental states", "implement BDI architecture", "create belief-desire-intention models", "transform RDF to beliefs", "build cognitive agent", or mentions BDI ontology, mental state modeling, rational agency, or neuro-symbolic AI integration.
context-compression
This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding context limits.
context-degradation
This skill should be used when the user asks to "diagnose context problems", "fix lost-in-middle issues", "debug agent failures", "understand context poisoning", or mentions context degradation, attention patterns, context clash, context confusion, or agent performance degradation. Provides patterns for recognizing and mitigating context failures.
context-engineering-collection
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.
context-fundamentals
This skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.
evaluation
This skill should be used when the user asks to "evaluate agent performance", "build test framework", "measure agent quality", "create evaluation rubrics", or mentions LLM-as-judge, multi-dimensional evaluation, agent testing, or quality gates for agent pipelines.
filesystem-context
This skill should be used when the user asks to "offload context to files", "implement dynamic context discovery", "use filesystem for agent memory", "reduce context window bloat", or mentions file-based context management, tool output persistence, agent scratch pads, or just-in-time context loading.
memory-systems
This skill should be used when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph", "track entities", or mentions memory architecture, temporal knowledge graphs, vector stores, entity memory, or cross-session persistence.
multi-agent-patterns
This skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple agents", or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution.
project-development
This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.
skill-template
Template for creating new Agent Skills for context engineering. Use this template when adding new skills to the collection.
tool-design
This skill should be used when the user asks to "design agent tools", "create tool descriptions", "reduce tool complexity", "implement MCP tools", or mentions tool consolidation, architectural reduction, tool naming conventions, or agent-tool interfaces.
kickgeist
Play and predict World Cup 2026 matches on KICKGEIST through your AI agent. Use this whenever someone wants to predict a match outcome (home win / draw / away win), start or join a prediction group with friends, or check this agent's own KICKGEIST points, accuracy, streaks, or rank. KICKGEIST is a free, zero-money, group-first social prediction game (no money, no in-app purchases, never gambling). Connect via the KICKGEIST MCP server at https://mcp.kickgeist.com/mcp.
neat-freak
End-of-session knowledge cleanup with OCD-level rigor — reconciles project docs (CLAUDE.md, README.md, docs/) and agent memory against the code so nothing rots. 会话结束后对项目文档和记忆进行洁癖级审查与���步。MUST trigger when the user says: "sync up", "tidy up docs", "update memory", "clean up docs", "/sync", "/neat", "同步一下", "整理文档", "整理一下", "更新记忆", "梳理一下", "收尾", "这个阶段做完了", "新人能直接上手", or any phrase suggesting a dev milestone where knowledge needs reconciliation. Also trigger when the user reports stale docs, conflicting memories, or wants a clean handoff to teammates or other agents. Bare "整理" / "tidy" with prior dev context counts — do not under-trigger. Cross-platform: works on Claude Code, OpenAI Codex, OpenCode, and OpenClaw.
azure_ai_projects_py
Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evaluations, managing connections/deployments/datasets/indexes, or using OpenAI-compatible clients. This is the high-level Foundry SDK - for low-level agent operations, use azure-ai-agents-python skill.
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep watching open PRs so fresh review feedback is surfaced promptly. Use when the user asks Claude to monitor a PR, watch CI, handle review comments, or keep an eye on failures and feedback on an open PR.
cognee-quickstart
Set up Cognee for MISHKAN — choose the install path, create a clean Python env, configure LLM/embedding providers and (optionally) PostgreSQL/Neo4j backends, and wire it to the harness. Use before first bringing up the knowledge graph, or when Cognee setup hits friction (Python version, venv, API keys, optional extras). Mirrors Cognee's official LLM quickstart skill.
conversation-json-to-md
Convert chat export JSON files into multiple Markdown files (one conversation per file). Use when users ask to split AI chat logs, preserve only user-assistant Q/A, format question as heading, keep response Markdown, and normalize filenames/headings after export.
coinbase-agentkit
Coinbase AgentKit — build AI agents with onchain capabilities. Wallet creation/management, token transfers, swaps, contract deployment, NFT minting, and ENS registration. Framework integrations with LangChain and Vercel AI SDK. Supports Base, Ethereum, Arbitrum, and Polygon.
easetoolz-seo-geo
GEO (Generative Engine Optimization) — optimize content for ChatGPT, Perplexity, Google AI Overviews, Gemini. Make your tool/site citable by AI systems.
divi-5-compatibility
Use this skill when validating CSS for Divi 5 / Divi 5.6 compatibility, checking unsupported features or units, troubleshooting Divi CSS that isn't applying, debugging plugin conflicts (WP Rocket, LiteSpeed, Wordfence, WooCommerce, Perfmatters), migrating from Divi 4 to Divi 5, understanding breakpoints, applying the 5.5 Aspect Ratio + Framing settings to prevent CLS, using the 5.3 pseudo-class editing modes (:checked / :focus / :active) instead of custom CSS, the 5.4 Sizing Variable Generator and Relative Colorscheme Generator, the 5.6 new modules (Timeline, Breadcrumbs, SVG, Table of Contents, Instagram Feed), Nested Option Presets, Critical CSS / Dynamic CSS / Inline Stylesheets, or fixing "styles not working" / "button override not working" / "static CSS cache" issues. Provides compatibility rules, validation patterns, specificity fixes, composable settings alternatives, version-specific bug fix history, and a full error-message reference.
divi-5-css-patterns
Use this skill when writing CSS for Divi 5 / Divi 5.6, styling Divi modules (buttons, sections, rows, blurbs, toggles, forms including the 5.3 Contact Form 7 Styler), the five 5.6 modules (Timeline, Breadcrumbs, SVG, Table of Contents, Instagram Feed), working with Free-Form CSS and the `selector` keyword, overriding `.et_pb_*` classes, setting up design tokens or dark mode, using the 5.4 Sizing Variable Generator or Relative Colorscheme Generator, applying the 5.5 Aspect Ratio / Framing settings, adding animations with reduced-motion, styling WooCommerce with Divi, the 5.3 pseudo-class editing modes (:checked, :focus, :active), Nested Option Presets, building accessible layouts, or developing a Divi child theme. Provides CSS patterns, class naming conventions, selector specificity guidance, Composable Settings alternatives, Canvas and Loop Builder patterns, and full example files for buttons, design tokens, animations, dark mode, WooCommerce, accessibility, forms, Loop Builder, and the 5.6 new modules.
divi-5-performance
Use this skill when optimizing Divi 5 site performance, improving Core Web Vitals (LCP, INP, CLS), reducing render-blocking CSS, working with Divi's Critical CSS / Dynamic CSS / Inline Stylesheet system, configuring font loading (WOFF2, preload, font-display), lazy-loading background images, preloading above-the-fold images, debugging slow Divi pages, or auditing cache-plugin interactions (WP Rocket RUCSS, LiteSpeed, Autoptimize, Perfmatters). Covers Divi 5.6's per-page component CSS, Section 5.5 Aspect Ratio for CLS prevention, and the per-module helper class pattern for lazy-loading.
competlab-ai-visibility
Analyzes how AI models (ChatGPT, Claude, Gemini) mention, rank, and recommend your brand vs competitors using CompetLab monitoring data. Use this skill when the user asks "how do LLMs see my brand", "AI visibility report", "AI brand check", "what does ChatGPT say about us", "GEO analysis", "AI SEO report", "LLM rankings", "AI mentions", "AI perception", or "who do AI models recommend in my space". NOT for traditional SEO, Google rankings, or web traffic analysis. Requires CompetLab MCP server (competlab.com) with an active project.
dare-ax
Agent Experience (AX) — codifica padrões para desenvolvimento assistido por IA em três planos (Discovery, Usage, Defense). Garante que todo projeto DARE exponha sinais estruturados (llms.txt, OpenAPI, --json, rate limit) que agentes de código precisam para trabalhar sem refactor desnecessário.
dare-llm-integration
Integração com LLMs (Large Language Models) em projetos DARE. Fornece abstração LLMProvider, cache em memória com TTL, rate limiting via token bucket, prompt templates versionados e validação de output via JSON Schema. Cobre antipatterns crítico de prompt injection e LLM output não validado.
dare-telemetry
Rastreamento de tokens e modelos de IA consumidos em cada etapa do Método DARE. Gera DARE/TELEMETRY.md com modelo usado, tokens estimados, tempo e tentativas (Ralph Loop) por comando — para auditoria, monitoramento de uso e otimização de custos.
llm-wiki-obsidian
基于 Karpathy LLM Knowledge Base 模式的个人知识库管理技能。通过 Obsidian CLI 与本地 Obsidian Vault 交互。核心思想：LLM 不是在查询时从原始文档重新发现知识， 而是增量构建和维护一个持久的 Wiki——结构化的、互联的 Markdown 文件集合。 当添加新资料时，LLM 会读取、提取关键信息并整合到现有 Wiki 中。 **触发条件**：用户提到知识库、Wiki、整理知识、建���知识体系、Obsidian、摄入资料、 查询知识、维护个人知识库、或讨论 Karpathy/Wiki 模式。
gbrain-query
Answer questions from the brain using FTS5 + semantic search + structured queries. Synthesizes across multiple pages with citations.
badi-discipline
Badi's behavioral discipline distilled into a portable skill — surgical changes, simplicity first, think before coding, goal-driven execution, yak-shave detection, TaskBoard discipline, knowledge-base source requirement, destructive-action gate. Extracted from Badi's 21 subagents, 12 hooks, and project CLAUDE.md. Triggers on: coding, refactoring, code review, writing new features, editing existing code, LLM coding pitfalls, overcomplication, bloated abstractions, missing tests, unclear requirements, scope creep, yak-shaving, dead code, premature optimization, technical debt, surface assumptions, verifiable goals.
expo-app-config
Choosing between app.json vs app.config.ts vs app.config.js, environment variables, variants, extra fields, plugin chain, and slug/scheme/bundle/version discipline. Triggers on app.json, app.config.ts, app.config.js, expo config, environment variable, .env, eas secret, variant, extra field, slug, scheme, bundle identifier, package name, version, build number, version code.
expo-config-plugin
Writing Expo config plugins, withInfoPlist, withAndroidManifest, withDangerousMod, mod compose, plugin testing, and registration in app.config.ts. Triggers on config plugin, with-plugin, withInfoPlist, withAndroidManifest, withDangerousMod, withEntitlementsPlist, withGradleProperties, mod, native config, expo plugin, plugin test, app.config plugin.
expo-dev-client
Custom development builds with expo-dev-client, build profiles, a custom dev menu, runtime-version compatibility, and EAS Update integration. Triggers on expo-dev-client, dev client, custom dev build, development build, dev menu, expo go, runtime version, debug build, dev launcher, scan qr, dev server.
expo-eas-build
iOS and Android build profiles with EAS Build, credentials management, build cache, secrets, and monorepo support. Triggers on eas build, eas.json, build profile, credentials, provisioning profile, keystore, push certificate, service account, build cache, eas secret, monorepo, development build, preview build, production build.
expo-eas-submit
App Store Connect and Google Play Console upload flow with EAS Submit, metadata, build-artifact selection, review notes, and phased release. Triggers on eas submit, app store connect, google play, asc api key, service account, metadata, screenshot, phased release, review notes, testflight, internal testing, production submit, release management.
expo-eas-update
Publishing OTA updates with EAS Update, channels, runtime versions, branch management, and rollback strategy. Triggers on eas update, ota, over-the-air, runtime version, channel, branch, rollback, embedded update, asset selection, expo-updates, hot update, partial release, release cohort.
expo-modules
Writing Swift/Kotlin native modules with the Expo Modules API, requireNativeModule, async functions, view modules, and the event-emitter pattern. Triggers on expo modules, native module, swift, kotlin, requireNativeModule, expo-module-scripts, expo.modules.json, view module, event emitter, native function, async function, native code, jsi.
expo-notifications
expo-notifications setup, push tokens, FCM + APNs credentials, categories, scheduled notifications, channels, and the permission flow. Triggers on expo-notifications, push notification, fcm, apns, push token, notification permission, notification channel, notification category, action button, scheduled notification, local notification, badge, silent push.
expo-orchestrator
Expo + React Native cross-platform mobile app development orchestrator — workflow selection (managed/bare/dev-client), project setup, eas profile discipline, release strategy. Triggers on expo, react native, eas, mobil, app store, play store, ios, android, app.json, eas.json, prebuild, expo-router, expo-modules.
expo-prebuild
Managed-to-bare transition with Expo prebuild, the ios/android directories, .easignore, native-upgrade discipline, and custom-mod application order. Triggers on expo prebuild, prebuild, managed to bare, bare workflow, native upgrade, ios android directory, easignore, prebuild cache, eject, sync native, native code generation.
expo-router
File-based routing with Expo Router, dynamic routes, layout hierarchy, deep linking, and navigation patterns. Triggers on expo-router, file-based routing, app dizini, _layout.tsx, [id].tsx, deep linking, expo-linking, tab navigation, stack navigation, drawer, prefetch, parallel routes, redirects, navigation, useRouter, useLocalSearchParams.
pentest-ad
Active Directory pentest methodology — BloodHound graph analysis, Kerberos abuse, ACL exploitation, lateral movement path advisory. Triggers on Active Directory, AD pentest, BloodHound, Kerberoasting, AS-REP, DCSync, Golden Ticket, Silver Ticket, NTLM relay, lateral movement, Impacket, NetExec, Certipy.
pentest-api
API security testing — REST/GraphQL/WebSocket, OWASP API Top 10, JWT/OAuth analysis, mass assignment, broken object-level authorization advisory. Triggers on API pentest, OWASP API, REST security, GraphQL test, WebSocket, JWT analysis, OAuth flow, BOLA, BFLA, mass assignment.
pentest-bizlogic
Business logic flaw hunting — price manipulation, race condition, workflow bypass, authorization edge case advisory. Triggers on business logic, bizlogic, race condition, price manipulation, workflow bypass, payment flaw, coupon abuse, refund abuse, time-of-check race.
pentest-bugbounty
Bug bounty methodology — HackerOne/Bugcrowd/Intigriti, deduplication, report writing, severity scoring, payout maximization advisory. Triggers on bug bounty, HackerOne, Bugcrowd, Intigriti, H1, BB, dedup, severity, CVSS scoring, bug report writing, triage.
pentest-cicd
CI/CD red team methodology — GitHub Actions, GitLab CI, Jenkins pipeline security analysis, secret leak, workflow injection advisory. Triggers on CI/CD pentest, GitHub Actions security, GitLab CI, Jenkins, pipeline injection, workflow injection, secret leak, OIDC abuse, runner takeover, supply chain.
pentest-cloud
Cloud security pentest — AWS/Azure/GCP IAM analysis, lateral path, container escape pattern, serverless abuse advisory. Triggers on cloud pentest, AWS, Azure, GCP, IAM, S3 misconfig, EC2 metadata, Azure AD, GCP IAM, Pacu, ScoutSuite, Prowler, CloudGoat.
pentest-credentials
Credential testing methodology — hash crack selection, wordlist generation, password spray (advisory), default cred audit. Triggers on credential testing, hash crack, Hashcat, John the Ripper, password spray, wordlist generation, cupp, CeWL, Crunch, hashid, default password, credential stuffing.
pentest-ctf
CTF (Capture the Flag) challenge solving advisory — HackTheBox, TryHackMe, PicoCTF, web/pwn/rev/crypto/forensics. Triggers on CTF, HackTheBox, HTB, TryHackMe, THM, PicoCTF, OverTheWire, pwn, reverse engineering, crypto challenge, forensics challenge, stego.
pentest-detection
Detection engineering — Sigma, Splunk SPL, Elastic KQL, Microsoft Sentinel KQL, YARA, Suricata rule writing advisory. Triggers on detection engineering, Sigma rule, Splunk SPL, Elastic KQL, Sentinel KQL, YARA, Suricata, Snort, SIEM rule, EDR rule, hunting query.
pentest-engagement
Penetration testing engagement planning — scoping, ROE drafting, phased timeline, MITRE ATT&CK mapping, kickoff/closeout documentation. Triggers on engagement plan, ROE, rules of engagement, scoping, pentest plan, phased plan, MITRE mapping, attack matrix, kickoff, closeout.
pentest-exploit-chain
Multi-step exploit chain analysis — linking low/medium severity findings into a critical chain, stealth+impact scoring advisory. Triggers on exploit chain, attack chain, chain analysis, multi-step attack, kill chain, attack path, stealth scoring, impact analysis.
pentest-forensics
Digital forensics — evidence acquisition, memory/disk imaging analysis, timeline reconstruction, IOC extraction advisory. Triggers on forensics, DFIR, Volatility, memory analysis, disk image, Autopsy, FTK, timeline, IOC extraction, evidence chain, log analysis.
develop
Project conventions and recurring gotchas for implementer agents working on agent-orchestrator, plus Rust-specific LLM gotchas. Use before opening a PR for any change in orchestrator/, tests/, docs/, or plans/, and for any change in a Rust codebase.
review
Review checklist for reviewer agents on agent-orchestrator PRs, plus Rust-specific LLM defect patterns. Use when evaluating a developer-produced branch before approval or change-requests, including Rust PRs.
adapt-copy
Adapt post copy per platform — character limits, hashtags, CTAs, tone, and compliance checking.
brand-manager
Set up and manage brand profiles. Use when: configuring a new brand, updating brand config, or switching brands.
compose-creative
Core creative engine. Generates images and video using 4 modes with brand assets, AI compositing, and platform resizing.
full-pipeline
Run the complete end-to-end production pipeline — parse, match, compose, copy, preview, review, finalize.
generate-video
Generate short-form video clips via a 5-stage human-in-the-loop pipeline: concept, keyframes, video generation, and delivery.
index-assets
Index brand photo library using AI vision. Use when: setting up assets, adding new photos, or refreshing the index.
match-assets
Match brand assets to calendar posts and assign creative modes. Use when: after calendar parsing or asset re-matching.
parse-calendar
Parse monthly content calendars from DOCX, XLSX, Notion, or text into structured calendar-data.json.
setup
One-time setup for image and video generation APIs. Run this before any creative production.
paper-conductor
论文全流程集大成助手（Academic paper all-in-one assistant and conductor）。覆盖学术论文从选题到投稿 的 8 个阶段（选题质询 → 文献调研 → 写作 → 制图 → 润色去AI味 → 审稿 → 答辩 → 投稿）。它自己就能动手： 写作（引言/方法/讨论/全文草稿）、润色与表达改写、基础审稿与自查、规划全程路线图，都直接做。 当某个环节有更强的专门 skill 时（深度系统性文献调研、框架图、中文破折号 hard gate 级去AI味、 学校 DOCX 模板交付、本地 .bib 检索、多 reviewer 深度评审），它会推荐并把产物交接过去。既动手又动嘴。 中文触发：写论文、帮我写引言/方法/讨论、润色这段、读起来像 AI、论文全流程、从头到尾写论文、 下一步该做什么、论文路线图、论文总调度、把这些阶段串起来。 English triggers: write my paper, draft a section, polish this, sounds too much like AI, end-to-end paper help, what should I do next on my paper, paper roadmap, orchestrate the writing process. 当任务单一明确且某个专门 skill 明显更合适时，可直接用那个专门 skill；paper-conductor 适合全流程、 多阶段、不确定从何下手的场景，并能自己兜底完成写作与润色。
dive-into-langgraph
A comprehensive guide and reference for building agents using LangGraph 1.0, including ReAct agents, state graphs, and tool integrations.
project-tree-example
follow similar kind of Project Structure or more schema base Architectural Pattern that track code structure without viewing the full context of code.
010101-package-security
Secures npm, pnpm, and bun against supply chain attacks — lockfile enforcement, provenance, version pinning, dependency audit, and script blocking.
010104-skill-creator
Creates AI agent skills from scratch — SKILL.md frontmatter, directory structure, progressive disclosure, evals, and distribution.
010110-clean-architecture
Clean Architecture layer ordering and strict inward dependency flow for web applications. Domain → Application → Infrastructure → Actions → UI.
010113-polar-integration
Polar.sh payment integration — product sync, checkout, webhooks, multi-currency, MoR model, sandbox testing, and API reference.
020101-contact-crm
Builds a contact-product-organization CRM using CSV files with UUID linking, phone validation, and auto-export to PDF and XLSX.
050102-nextjs-framework
Next.js 16 framework patterns — async APIs, server components, React Compiler, routing, caching, metadata SEO, and anti-patterns.
050103-tailwind-implement
Tailwind CSS v4 CSS-first configuration and shadcn/ui component composition — CVA factories, styling rules, forms, icons, Base vs Radix API.
060101-http-security
Multi-layer web security patterns — rate limiting, Content Security Policy, security headers, CORS, IP deny lists, and graceful degradation.
060103-better-auth
Better Auth integration for Next.js — setup, API endpoints, client SDK, React Context provider, and Organization plugin for multi-tenant auth.
080103-ux-standards
UX standards: WCAG accessibility, touch interaction, form UX, navigation, UX writing, cognitive load. Heuristic evaluation and critique methodology.
agentic-sdd-router
Route spec-driven development work to the correct phase skill. Use when the user asks for SDD, spec-driven development, Spec Kit style workflow, feature planning, implementation from specs, verification, or spec drift review.
telegram-remote
Use when the user wants to start, inspect, stop, or troubleshoot the NordRelay bot process, including prompts like "remote", "/remote", "Telegram Remote", "NordRelay", or Telegram remote control.
brand-guidelines
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
agf-wiring-multi-llm-sdk
Use when wiring up or switching between China-domestic LLM providers (DeepSeek, Doubao/Volc Ark, Qwen/DashScope, MiniMax). Provides OpenAI-compatible adapter pattern, env-var contracts, fallback strategy, cost guardrails, and minimum verifications before declaring integration done.
agfwiring-multi-llm-sdk
Use when wiring up or switching between China-domestic LLM providers (DeepSeek, Doubao/Volc Ark, Qwen/DashScope, MiniMax). Provides OpenAI-compatible adapter pattern, env-var contracts, fallback strategy, cost guardrails, and minimum verifications before declaring integration done.
go-modernize
Apply Go 1.26 modernization analyzers (`go fix`) to bring a package or module up to current idioms. Mass-rewrites code; only invoke explicitly when the operator asks to modernize.
migration-review
Review a database migration (SQL, golang-migrate, goose, Flyway, etc.) for safety, reversibility, zero-downtime correctness. DB safety review is high-stakes; only invoke explicitly when reviewing a migration.
ops-preflight
Codex deep ops-safety review of a proposed Bash command BEFORE it executes. Invoke MANUALLY (via /ops-preflight) when the ops-risk-triage hook has emitted an `ask` for an infra_mutation, external_read, destructive, or unknown command and you want a second opinion on blast radius / rollback / required post-checks before approving. NOT for code review (use go-code-review). NOT auto-invoked.
postmortem-fix
Turn an escaped defect or production incident into a concrete prevention patch plan (root cause + control gap + multi-layer fix). Declaring an incident is intentional; only invoke explicitly when the operator says this is post-incident or postmortem work.
second-opinion
Reference for the cross-model review runner. The hooks invoke the runner script; the model does not invoke this skill. Documents the Codex CLI contract, the --output-schema conformance fallback, the context-pack contents, and the typed-exception codes.
brainstormar-ideia
Oferece menu de 15 técnicas de brainstorming adaptadas ao contexto brasileiro (Seis Chapéus, SCAMPER, 5 Porquês, Pre-mortem, Crazy 8s, Inversão, First Principles, Yes-And, Worst Possible Idea, Reverse Brainstorming, Brainwriting, Mind Map, Six Universal Questions, Random Stimulation, Round Robin). Use sempre que o usuário precisar expandir/refinar ideia e não souber qual técnica aplicar. Skill orquestra escolha + execução guiada.
calculadora-reforma-paralela
Guia + estrutura de implementacao do calculo paralelo da Reforma Tributaria (LC 214/2025) — regime atual (ICMS/ISS/PIS/COFINS) vs regime novo (CBS/IBS/IS) durante a transicao 2026-2033. Use ao implementar feature tributaria nova, atualizar calculadora existente, ou auditar feature fiscal apos 2026-01.
checklist-cfm-telemedicina
Checklist obrigatorio pra plataforma de telemedicina BR conforme CFM 2.314/2022 + LGPD Art. 11. Use ANTES de subir feature de consulta online, segunda opiniao, teleconsulta urgencia. Cobre 8 pontos nao-negociaveis — sem todos, a plataforma nao e telemedicina valida no Brasil.
checklist-lgpd
Aplica checklist LGPD a uma feature ou fluxo de tratamento de dados pessoais. Pergunta dirigida + arvore de decisão de base legal (Art. 7 / Art. 11). Use antes de implementar coleta/armazenamento/compartilhamento de dado pessoal.
emitir-evento-esocial
Guia de implementação para emissão de evento eSocial — escolha do schema, prazo legal, fila + retentativa, validação local antes do envio, retificação via S-3000. Use ao implementar integração eSocial pela primeira vez OU ao auditar integração existente.
emitir-nfce
Guia de implementação para emissão de NFC-e modelo 65 (Nota Fiscal de Consumidor Eletrônica) — varejo em todas as UF EXCETO SP (que usa SAT) e CE (que usa MFE). Inclui integração com BR Code Pix.
emitir-nfe-55
Guia de implementacao para emissao de NF-e modelo 55 (B2B) com checklist FISCAL-001 a FISCAL-007. Use quando o projeto for emitir NF-e pela primeira vez ou ao auditar emissao existente.
emitir-sat-cfe
Guia de implementação para emissão de SAT-CF-e modelo 59 (exclusivo SP). Use ao implementar PDV no estado de São Paulo OU ao auditar emissão SAT existente.
estruturar-open-finance
Guia de implementacao Open Finance Brasil — OAuth 2.0 + FAPI + mTLS + DCR. Use ao integrar com Open Finance pela primeira vez (Fase 2 dados, Fase 3 iniciacao de pagamento).
gerar-br-code
Gera BR Code (QR Code Pix) padrao EMV conforme manual Bacen — estatico ou dinamico. Use ao implementar geracao de QR Code Pix no checkout, cobranca ou impressao. Devolve a string EMV pronta pra ser renderizada em QR Code visual.
gerar-br-code-typescript
Guia de implementação TypeScript pra gerar BR Code (QR Code Pix) padrao EMV. Complementa a skill executável `gerar-br-code` do core (Python) com referência ASCII-strict em TS pra projetos JavaScript/Node. Use quando precisar implementar manualmente no stack TS em vez de invocar a skill Python.
gerar-canal-dpo
Gera template completo do canal de DPO — pagina publica, email funcional, fluxo de atendimento, SLA 15 dias. Use ao implementar o canal pela primeira vez ou ao revisar canal existente.
gerar-ripd
Gera Relatorio de Impacto a Protecao de Dados (RIPD) — Art. 38 LGPD. Use quando tratamento e de alto risco (dado sensivel em escala, decisao automatizada, monitoramento sistematico, crianca/adolescente). Saida em markdown versionavel.
gerar-test-fixture-br
Gera CPFs, CNPJs (numéricos e alfanuméricos pós-jul/2026), CEPs e telefones E.164 brasileiros VÁLIDOS por algoritmo para usar em fixtures, seeds e testes. Use quando precisar de dado sintético realista pra mock — evita o erro comum de colar "111.111.111-11" que falha em qualquer validador.
integrar-balanca-impressora
Guia de integração com balança eletrônica (Toledo, Filizola, Urano) e impressora não-fiscal ESC/POS (Bematech, Daruma, Epson, Elgin). Cobre RS-232, USB, Ethernet, protocolos legados.
mascarar-dado-pessoal
Mascara CPF, CNPJ, email, telefone E.164, chave Pix, RG, IE, CNH, RENAVAM, titulo de eleitor e cartao de credito para exibicao em log/console/relatorio sem vazar dado pessoal. Sustenta LGPD-004 (trilha de auditoria nao registra dado em texto puro) e PIX-004 (chave Pix mascarada). Use SEMPRE que dado pessoal sair pra log, console, error report, mensagem ao usuario ou export. CLI + lib Python importavel.
migrar-cnpj-alfanumerico
GUIA de migração para CNPJ alfanumérico (vigor jul/2026) — checklist de banco, regex, máscaras, exemplos em TS e Python. Para VALIDAR de fato, use a skill core `validar-cpf-cnpj` (que já cobre alfanumérico).
migration-sqlite-segura
Pattern de migracao SQLite com backup automatico antes de aplicar. Use em app Electron com banco local persistente. ELECTRON-003.
responder-incidente-anpd
Gera o draft de notificação à ANPD em caso de incidente de segurança que afete dado pessoal (LGPD Art. 48, Resolução CD/ANPD 15/2024). Use no T+24 a T+72h após detecção do incidente. Saída em markdown versionável para revisão jurídica antes de submeter ao portal da ANPD.
resposta-titular
Gera resposta padronizada a direito exercido por titular LGPD (Art. 18) — acesso, exclusao, portabilidade, revisao. Use ao processar pedido recebido pelo canal do DPO.
traduzir-jargao
Revisa um texto (markdown, comentário, mensagem de commit, doc) e traduz jargão técnico para linguagem acessível ao usuário não-programador. Use antes de mostrar qualquer texto técnico ao cliente/dono de produto que não programa.
validar-boleto
Valida codigo de barras / linha digitavel de boleto bancario brasileiro (FEBRABAN) e arrecadacao (servico publico). Use ao receber boleto de fornecedor, conciliacao bancaria, ou cadastro manual de pagamento. Valida DV modulo 10/11, faixa de valor, vencimento.
validar-chave-acesso-nfe
Valida chave de acesso de NF-e/NFC-e/CT-e/MDF-e/SAT-CF-e (44 digitos) brasileira — UF + AAMM + CNPJ + modelo + serie + numero + tpEmis + cNF + DV. Usa algoritmo modulo 11 oficial. Use ao receber chave de fornecedor, conciliacao fiscal, importacao de XML, ou cadastro manual.
validar-cns-cartao-sus
Valida CNS (Cartao Nacional de Saude) brasileiro — 15 digitos com algoritmo de modulo 11. CNS definitivo comeca com 1 ou 2 (primeiros 11 digitos = PIS/PASEP). CNS provisorio comeca com 7, 8 ou 9 (soma ponderada total multiplo de 11). Use ao receber CNS em cadastro de paciente, importacao do RH, integracao com CADSUS, faturamento SUS.
validar-codigo-municipio-ibge
Valida codigo IBGE de municipio brasileiro (7 digitos = UF + sequencial + DV modulo 10) e opcionalmente consulta a API IBGE pra confirmar existencia. Use ao receber codigo de municipio em integracao SEFAZ, NF-e/NFC-e, eSocial, IBGE ou cadastro de endereco.
validar-conta-bancaria
Valida agencia + conta bancaria brasileira (BACEN) — formato por banco (numero ISPB + variacoes corrente/poupanca/digital). Use ao receber dados bancarios em cadastro de fornecedor, folha de pagamento, TED, debito automatico ou cadastro de Pix por chave-conta. NAO valida saldo nem existencia — apenas estrutura.
validar-cpf-cnpj
Valida CPF e CNPJ (numerico legado + alfanumerico apos jul/2026) brasileiros usando algoritmo de digitos verificadores. Use sempre que precisar verificar se um CPF/CNPJ está MATEMATICAMENTE valido antes de salvar ou processar.
validar-ie
Valida Inscricao Estadual brasileira (formato + digito verificador) e normaliza pra so digitos. Cobertura DV completa em 6 UFs (SP, RJ, RS, PR, SC, BA); outras 21 UFs retornam `valido:false` com aviso pra consultar SINTEGRA/SEFAZ. Use ao receber IE de cadastro de empresa, importacao fiscal, integracao com SEFAZ ou geracao de NF-e.
validar-pis-pasep
Valida PIS/PASEP/NIS brasileiros (11 dígitos) com algoritmo módulo 11. Use sempre que receber, salvar ou consultar PIS/PASEP/NIS — em admissão, folha, eSocial, ou qualquer integração com Receita Federal/Caixa.
validar-pix
Valida chave Pix (CPF, CNPJ, email, telefone E.164, aleatoria UUID) e identificadores Pix (EndToEndId, TxId). Use sempre que receber, salvar ou exibir chave/identificador Pix.
validar-webhook-pix
Implementa handler de webhook Pix com HMAC, idempotencia e tratamento de status. Use ao receber notificacao do PSP (banco, BaaS) sobre Pix recebido, devolucao ou MED.
gemini
Call the Gemini API (gemini-2.5-flash, gemini-2.5-pro, gemini-3-flash-preview, gemini-3-pro-preview, gemini-3.1-pro-preview) through RunAPI using the official OpenAI SDK or the native Google Generative AI SDK. Use when the user asks for Gemini chat, streaming completions, multimodal vision input, Google Search grounding, structured output, reasoning effort, or to point an existing OpenAI-compatible or Gemini-native client at RunAPI as the base URL.
gpt
Call the GPT API (gpt-5.2, gpt-5.4, gpt-5.4-mini, gpt-5.5, gpt-5.3-codex) through RunAPI using the official OpenAI SDK or any OpenAI-compatible client. Use when the user asks for OpenAI / GPT chat, streaming completions, vision input, tool use / function calling, reasoning effort, the Responses API, or Codex coding tasks, or when they want to point an existing OpenAI SDK setup at RunAPI as the base URL.
agent-governance
Governance, safety, and trust controls for AI agent systems: policy enforcement, intent classification, audit trails, trust scoring. Triggers: /agent-governance, agent safety, tool access control.
seo-master
Complete SEO + GEO (Generative Engine Optimization) + AEO (Answer Engine Optimization) playbook for 2026. Covers traditional search ranking, how AI engines + coding agents (ChatGPT/Bing, Claude+Claude Code/Codex/OpenClaw/Brave, Gemini/Google, Perplexity) discover/rank/cite pages, framework-aware implementation (Next.js App Router Metadata API + React SPA prerender), structured data, technical SEO, titles/meta, content strategy, IndexNow, Google + Bing Search Console, competitor analysis, the 2026 I/O + core-update changes, and a prioritized checklist. Use when optimizing any website for search engines and AI answer engines, planning content/SEO strategy, adding structured data, fixing titles/meta, getting cited by AI chatbots/agents, or setting up Search Console.
gradio
Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
hf-mcp
Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.
hugging-face-cli
Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.
hugging-face-dataset-viewer
Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.
hugging-face-datasets
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
hugging-face-evaluation
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.
hugging-face-paper-publisher
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
hugging-face-tool-builder
Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.
hugging-face-trackio
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.
build-mcp-app
This skill should be used when the user wants to build an "MCP app", add "interactive UI" or "widgets" to an MCP server, "render components in chat", build "MCP UI resources", make a tool that shows a "form", "picker", "dashboard" or "confirmation dialog" inline in the conversation, or mentions "apps SDK" in the context of MCP. Use AFTER the build-mcp-server skill has settled the deployment model, or when the user already knows they want UI widgets.
claude-api
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no p
do-voice-recording
Turn text into a spoken-audio file (OGG/Opus) from any project or directory. Kokoro local voice with OpenAI tts-1 cloud fallback. The canonical text-to-speech step — other skills (/do-presentation, /do-debrief) defer to this for synthesis. Use when asked to 'record a voiceover', 'narrate this', 'speak this', 'read this aloud', 'say this', 'make an audio/voice clip', or 'text to speech', e.g. recording narration after building a presentation.
mem9-setup
Setup mem9 persistent memory for OpenCode. Triggers: set up mem9, install mem9, configure memory, enable memory, setup memory, mem9 onboarding, memory not working.
mnemos-setup
Setup mnemos persistent memory with mnemo-server. Triggers: "set up mnemos", "install mnemo plugin", "configure memory plugin", "configure openclaw memory", "configure opencode memory", "configure claude code memory".
auto-loop
Drive a Claude Code session toward a verifiable goal until done or a hard cap fires — autonomous loop, no user intervention. Use for refactor batches, test-coverage runs, migration loops where success is a check command (tests, lint, custom predicate) plus a fresh-context audit. Hosts the loop intra-session via Stop hook with two-vote completion gate; supports optional Codex /goal delegation.
diagram
Generate modern reviewable diagrams (system architecture, workflow, data flow, sequence, ER, state-machine, C4) via OpenRouter image-gen or LLM-emitted SVG. Auto-classifies diagram type from prompt; --type to override. Default outputs to <git-root>/.diagrams/; --versioned writes git-trackable specs and variants under docs/diagrams/.
marketing-design
Marketing brand-asset generation (raster images via AI): logo design (55 styles, 30 palettes, 25 industries), corporate identity / CIP mockups (50 deliverables — business card, letterhead, signage, packaging, apparel), banner design (22 styles, social/ads/web/print), SVG icon design (15 styles), social photos (multi-platform), and model-agnostic poster prompts. Default image engine is Codex gpt-image-2 (ChatGPT subscription via `codex login`), attaching the brand logo as a reference image for CIP compositing; falls back to Gemini Nano Banana (GEMINI_API_KEY, same key as omnimedia). Actions: design logo, create CIP / brand identity, generate mockups, design banner, generate icon, create social photos, design poster, social media images. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads. For HTML/web pages, dashboards, and slide decks, use opendesign instead.
omnimedia
Multimodal AI — Gemini for analysis (vision/transcribe/OCR/extract); image generation via Codex (ChatGPT subscription), Gemini/Imagen, OpenRouter, MiniMax; video, speech, music via Gemini + MiniMax.
cloud-finops
Expert FinOps guidance covering cloud, AI, SaaS, and adjacent technology spend. Includes AI cost management, GenAI capacity planning, AI-powered FinOps automation, Anthropic billing, AWS (EC2, Bedrock, Savings Plans, CUR, commitment strategy), Azure (reservations, Savings Plans, AHB, OpenAI PTUs, portfolio liquidity), GCP (Vertex AI, Compute Engine, BigQuery), Kubernetes and container FinOps (OpenCost, Kubecost), serverless FinOps (Lambda, Functions, Cloud Run), data platforms (Kafka/MSK, Elasticsearch/OpenSearch, Redis/Valkey), multi-cloud normalization (FOCUS specification), tagging governance, SaaS management (SAM, licence optimisation, SMPs, shadow IT), AI coding tools (Cursor, Claude Code, Copilot, Windsurf, Codex), ITAM, Databricks, Snowflake, OCI, and GreenOps. Use for any query about technology cost, commitment portfolio management, rightsizing, cost allocation, SaaS sprawl, AI dev tool spend, container cost attribution, serverless optimization, multi-cloud strategy, or connecting spend to business va
code-review
Run a final code review on a pull request
code-review-testing
Test authoring guidance
agent-builder
Build AI agents using pai-agent-sdk with Pydantic AI. Covers agent creation via create_agent(), toolset configuration, session persistence with ResumableState, subagent hierarchies, and browser automation. Use when creating agent applications, configuring custom tools, managing multi-turn sessions, setting up hierarchical agents, or implementing HITL approval flows.
study-img
Image-reading sub-skill (orchestrated by study-assistant; also usable standalone). Use for ANY material that must be "seen" during study: scanned textbook pages, textbook figures/charts/diagrams, photographed exam papers, photos of handwritten answers or notes, and any png/jpg/jpeg/gif/webp/bmp file. Strategy: if the current model has native vision, just look (Read tool); otherwise call the vision-model API the user configured (OpenAI-compatible or Anthropic format), guiding configuration on first use.
clawcache-free
Smart LLM cost tracking and caching for Python
did-ai-write-this
Run Pangram's v3 AI-detection on a chunk of text and return a structured verdict (label + three fractions summing to 1.0). Use whenever the user asks "is this AI?", "did a human write this?", "did ChatGPT write this?", "is this AI-generated?", "check if AI", "verify this source", or any variant question about text authorship. **Does not auto-run on WebFetch by default** — every call costs a Pangram credit, so proactive use is opt-in. To enable proactive checks during research, the user can add an instruction to their CLAUDE.md (e.g. "When I'm in a research flow, run did-ai-write-this on every WebFetch'd page before citing"). Output is compact JSON (label, three fractions, char count) when stdout is piped, a one-line summary on a TTY; a fraction_ai >= 0.5 verdict means do not cite as human-authored. Pangram needs at least 50 words for reliable detection (the CLI rejects shorter input with exit 6).
wide-slide-illustrator
Compose image-generation prompts for wide 18:9 infographic slides that explain methodology, data pipelines, architectures, or research ideas. Support Friendly Whiteboard, Editorial Magazine, Engineering Blueprint, Swiss Minimalist, Dark Tech/Neon, and Scientific Poster styles, with English-only on-image text and style-specific hard negatives. Use when the user asks for slide illustrations, pipeline diagrams, paper hero figures, journal-style methodology figures, keynote backdrops, or prompts for ChatGPT Image, gpt-image, DALL-E, Sora, or Midjourney.
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
add-session-card
Add a new analytics card to the session summary panel. Covers backend analyzer, database migration, API response, and frontend component with Storybook stories.
bugfix
Fix bugs using Test-Driven Development. Use for bug fixes from Linear tickets or user reports. Emphasizes writing tests FIRST before any implementation.
cut-release
Cut a new semver release — tag, write release notes with rigorous DB migration and API change verification, and publish via gh.
strategy-consultant-agents
Tier-1 strategy-consultant analysis with parallel sub-agents — one per framework (MECE, Issue Trees, Hypothesis-Driven, Pareto, So What?) — synthesized into a single whiteboard-style response. Use for high-stakes or complex problems. Requires Task/Agent tool.
compare
Multi-model code review. Fan out a bug or task to multiple LLMs, diff their findings, optionally debate, then dispatch subagents to fix in parallel. Use when the user types /compare or asks to compare models on a code issue.
claude-api
Build apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic SDKs, or Agent SDK. DO NOT TRIGGER when: code imports `openai`/other AI SDK, general programming, or ML/data-science tasks.
claude-jobs
Find job openings at tech companies. Use when user asks about jobs, careers, openings, positions, roles, or salaries - either at specific companies or general tech job queries.
gdpr
Use when building, shipping, or auditing one of my B2C apps for GDPR/privacy — classify the data posture (offline / Supabase-backed / ships-to-AI-processor), run the decision gates (personal data? lawful basis? processor DPA? transfer? minimization? DSR/erasure?), add a privacy notice, and add privacy-first cookieless analytics without triggering consent. EU GDPR; references security-bar for the controls.
frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
humanizer-zh
去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。 基于维基百科的"AI 写作特征"综合指南。检测并修复以下模式：夸大的象征意义、 宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、 AI 词汇、否定式排比、过多的连接性短语。
telegram-triage
Classify inbound Telegram DMs, autoreply low-stakes, escalate high-stakes to you
context-graph-compressor
Compress any conversation into a portable JSON context graph for handoff to a new chat or LLM. Trigger on: "compress this chat", "save context", "new chat", "hand off", "transfer context", "too many tokens", "start fresh", "export conversation", "context graph", "continue in new session". Also trigger proactively when the user mentions starting over in a long session.
db-feature
Plan and fine-tune a Supabase database feature for the WorldCup 2026 app. Covers schema, RLS, CRUD, SDK patterns, and keys before any implementation. Use when the user says "plan feature", "db feature", "design table", or asks to build a specific feature.
verify-ef-sync
Read-only audit of all WorldCup 2026 Edge Functions, pg_cron jobs, and DB triggers. Verifies the data-sync + scheduling + notification pipeline is correctly wired for the real tournament and flags gaps (unmapped WC games, missing sync crons, leftover test data, stale EF versions). Use when the user says "verify EF", "check the sync", "audit edge functions", "are the crons ready for the World Cup", or before go-live.
antigravity-review
Get a second opinion from Google Antigravity (agy) on your current code changes. Analyzes staged/unstaged diffs and returns prioritized findings. Use when the user asks to "review with Antigravity", "Antigravity code review", or "ask agy to check my code".
codex-review
Get a second opinion from OpenAI Codex on your current code changes. Analyzes staged/unstaged diffs and returns prioritized findings. Use when user asks to "review with Codex", "Codex code review", or "ask Codex to check my code".
structured-prompt-writer
结构化AI提示词写作工具，内置395+提示词模板。支持详细模式和简单模式。用于创建专业的AI角色提示词、系统提示词或任务提示词。当用户需要：(1) 创建新的AI提示词/Prompt (2) 设计AI角色/Persona (3) 编写系统提示词 (4) 优化现有提示词结构时使用此技能。
grepai-config-reference
Complete configuration reference for GrepAI. Use this skill when you need to understand all available configuration options.
grepai-embeddings-lmstudio
Configure LM Studio as embedding provider for GrepAI. Use this skill for local embeddings with a GUI interface.
grepai-embeddings-openai
Configure OpenAI as embedding provider for GrepAI. Use this skill for high-quality cloud embeddings.
pushing-ci-changes
Pushing GitHub Actions changes, resolving push rejection, requesting upload exceptions.
conventional-commit-batcher
Auto-split mixed changes into logical commit batches with validated Conventional Commit messages. MUST BE USED for ANY git add, git commit, or git push operation.
video-analyzer
Analyze a video file and produce a comprehensive AI-readable report (Markdown + JSON). Use this skill whenever the user uploads or references a video file (.mp4, .mov, .avi, .mkv, .webm, .m4v) and wants to: understand its content, create a report from it, extract what is said or shown, describe what happens, count or identify characters, summarize the video for use in a Claude project (where direct MP4 upload is not supported), or generate any written analysis of video content. Trigger even for casual phrasing like "what's in this video", "read this mp4", "make a report from this video", "transcribe this video", "describe this clip", "how many characters are in this video", "who appears in this video".
build
Turn an approved spec into a merged-ready PR with Codex doing the writing. Claude conducts; Codex writes the plan and the implementation; a Codex reviewer and a Claude reviewer independently attack each artifact; a fresh Codex agent reconciles them into one verdict (go / fix-go / fix-review). Use when the user runs /claudex:build, or asks to build/implement an existing spec with Codex as the builder and an adversarial review loop.
setup
Use when the user runs /claudex:setup or asks to install/bootstrap claudex's dependencies (the Codex plugin and superpowers). Installs both plugins, then verifies the Codex CLI via codex:setup.
cre-closing
CRE Closing management suite — 2 specialist skills for closing checklist coordination and funds flow preparation for multifamily acquisitions.
security-review
在添加认证、处理用户输入、处理密钥、创建 API 端点或实现支付/敏感功能时使用此 skill。提供全面的安全检查清单和模式。
building-ai-chat
Builds AI chat interfaces and conversational UI with streaming responses, context management, and multi-modal support. Use when creating ChatGPT-style interfaces, AI assistants, code copilots, or conversational agents. Handles streaming text, token limits, regeneration, feedback loops, tool usage visualization, and AI-specific error patterns. Provides battle-tested components from leading AI products with accessibility and performance built in.
deploying-on-azure
Design and implement Azure cloud architectures using best practices for compute, storage, databases, AI services, networking, and governance. Use when building applications on Microsoft Azure or migrating workloads to Azure cloud platform.
evaluating-llms
Evaluate LLM systems using automated metrics, LLM-as-judge, and benchmarks. Use when testing prompt quality, validating RAG pipelines, measuring safety (hallucinations, bias), or comparing models for production deployment.
model-serving
LLM and ML model deployment for inference. Use when serving models in production, building AI APIs, or optimizing inference. Covers vLLM (LLM serving), TensorRT-LLM (GPU optimization), Ollama (local), BentoML (ML deployment), Triton (multi-model), LangChain (orchestration), LlamaIndex (RAG), and streaming patterns.
prompt-engineering
Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI agents, or optimizing prompt quality and cost. Covers OpenAI, Anthropic, and open-source models with multi-language examples (Python/TypeScript).
using-vector-databases
Vector database implementation for AI/ML applications, semantic search, and RAG systems. Use when building chatbots, search engines, recommendation systems, or similarity-based retrieval. Covers Qdrant (primary), Pinecone, Milvus, pgvector, Chroma, embedding generation (OpenAI, Voyage, Cohere), chunking strategies, and hybrid search patterns.
anti-ai-writing
Edit any piece of writing to remove AI tells. Strips banned words ("delve," "unlock," "leverage," "robust," "harness," "showcase," "navigate," "vibrant," "framework," "ecosystem," and 50+ others), banned phrases ("in today's fast-paced world," "unlock the potential of," "it is worth noting that," "in conclusion"), banned structures (em dashes, en dashes, compound-word hyphens, the default rule of three, bulleted bold-title lists, formulaic transitions like "Furthermore"), and weak verb constructions ("utilize," "facilitate," "serves as a"). Use this skill whenever the user says "make this sound human," "remove the AI tells," "edit this so it doesn't sound like ChatGPT," "humanise this," "proofread for AI," "this reads like an LLM," "make this less corporate," "rewrite without AI words," or shares any draft and wants it sharper and more human. Works in English and Spanish; the banned list is language-aware.
granola-series-recap
Cluster Granola meeting recordings into recurring series (e.g. "Weekly Jane <> Alex 1:1", "Platform weekly check-in"), create a granola-series surface entity per cluster, and synthesize cross-meeting decisions/project_facts from the series rather than treating each meeting as an island. Use when the user asks "what's been happening in my 1:1s with <person>?", "summarize the Platform weekly", "what decisions came out of recent <series> meetings?", or when batch-ingesting Granola as a recurring source.
memory-ask
Search the user's MemoryVault — their personal knowledge layer of memories (events, decisions, customer interactions, technical notes) linked to entities (people, companies, topics, projects). Use this BEFORE answering ANY question that references the user's work, past meetings, customers, colleagues, projects, or decisions they've made. The vault is the source of truth for the user's professional context. Returns top-K ranked memory snippets with titles, scores, entities, and content. Common triggers- "what did <person> say about <topic>", "what's our status on <customer>", "when did we decide <thing>", "tell me about <project>", "remind me what <person> wanted", "summarize last week with <customer>". Pass `k=10` for broad context, `k=3` for targeted answers.
memory-deep-dive
For a thin-retrieval queue item, fetch richer content from the source's native MCP, synthesize into a properly-shaped memory, save it. Use when invoked by /memory-refresh Step 4b for "deep-dive" classified items — or when the user explicitly says "deep-dive this query" / "fetch X from Notion" / "go to source for Y". Specialized per source (Notion, Slack, Linear, Gmail, GDrive, Granola, GitHub).
memory-entity-bootstrap
Enrich a low-info entity by pulling source data specifically about it. Triggers when ingest or refresh encounters an entity that's being newly created OR an existing entity with too few memories (< 5) that just got touched by new activity. Searches the user's enabled source MCPs (Slack history, Linear issues, Notion pages, Gmail threads, Granola meetings) for content about this entity, then synthesizes a richer canonical entity file or adds the missing context as new memories. Use when '/memory-refresh' wants to deep-dive a specific entity, or when 'memory-master-ingest' is about to create a new entity it should bootstrap properly first.
memory-graph-audit
Walk the user through a visual audit of their vault using Obsidian's graph view. Triggers on 'audit my graph', 'check structure', 'walk through vault visually', 'find graph issues', 'memory graph audit'. Some structural problems (orphan entities, duplicate-spelling entities, broken clusters, missing champions, dead wikilinks) are visible at a glance in Obsidian but invisible to the eval set. This skill gives the user a checklist of what to look for, captures their observations as actionable feedback memories, and accepts screenshots if they want to flag something visual. Pairs the model's structural checks (memory doctor) with human visual pattern-matching.
memory-ingest-code
Ingest code repositories into the MemoryVault as entities + PR memories. Use when the user wants their kit to understand their codebase — "ingest my repo", "pull PRs from <repo-name>", "add code context for <project>", "give me an engineer's memory", "set up code ingest for my monorepo" etc. Two safe modes: --metadata (README + structure only) and --prs (PR descriptions + paths only, never source contents). Source-content ingest is enterprise-only and disabled by default. Walks the user through products config setup for multi-product monorepos so PRs auto-link to the right product entities.
memory-master-ingest
The wide-net source scourer — iterates EVERY source the user has connected (defined in `<vault>/.mvkit/connected_sources.json`), invokes the right ingest, reports per-source status. THE most important Layer-1 agent. Called from /memory-refresh (Step 2), or directly when the user says "ingest everything" / "pull fresh data" / "what's new". The source list is data-driven — different users have different sources connected, so this skill reads the config at runtime instead of hardcoding which MCPs to call.
memory-refresh
The recurring entry point for an already-set-up MemoryVault. Triggers on 'refresh memory', 'pull fresh data', 'what is new', 'memory refresh', or just 'refresh' in any session where the kit is installed. Reads the vault state from .mvkit/, pulls deltas from every connected source, heals the graph, runs coverage detection, runs a soft eval, and reports what changed. Same skill works in any fresh chat because state lives in the vault, not the session. For first-time setup, invoke memory-setup instead.
memory-save
Persist a new memory to the user's MemoryVault. Use when the user explicitly says "save this", "remember that", "add to my vault", "note that down" — OR when you're summarizing a clearly memory-worthy outcome they just shared (a decision, a customer commitment, a new fact about a colleague). Writes a properly-formatted memory file with entity wikilinks. Don't use this for every utterance — be selective. If you're unsure, ASK the user "should I save this to your vault?" before calling. ALWAYS apply the preservation rules below — under-detailed memories are the single biggest quality failure mode of this system.
memory-setup
Conversational first-run setup. Triggers on "set up memoryvault", "install memoryvault", "initialize my vault", "I want to try memoryvault", or after a clone with "what's next?". Probes the user's environment for installed MCPs, asks which sources they want to ingest, gathers per-source config (Linear teams, repo names, Notion topics, Slack channels, etc.), writes `.mvkit/connected_sources.json`, generates the per-user scheduled tasks, walks through first ingest + first eval, and writes a `mem_BOOTSTRAP_*` audit memory. Every step gathers the info the kit needs so subsequent runs are automatic.
memory-stub-enricher
For a stub coverage-gap memory (tags include stub-enrich-me, enriched=false), read its auto-gathered Evidence section + any session context you have + write a grounded narrative via memory_update. Use when invoked by /memory-refresh Step 4b for "enrich-stub" classified items — or when the user notices a stub gap in retrieval results. Doesn't fetch from external sources — pure session-context-driven enrichment (memory-deep-dive is the escape hatch when no session context applies).
memory-use
The universal contract for ANY consuming agent using the MemoryVault MCP. Use this skill on every conversation that touches the user's professional context — meetings, customers, decisions, projects, code, anything from their daily work. Establishes when to refer to memory (search first, always), when to give feedback (mem_GAP_* enrichment + memory_update), when to write memory (memory_save discipline + playbooks), and when to escape to a native MCP for deep-dive (parent_surface tells you which source has richer info). Load on every client; the kit's MCP tool descriptions encode the rest.
memoryvault
Personal memory layer for non-engineers — runs entirely on Claude Cowork with Google Drive as the vault store. Reads/writes structured markdown memories about your meetings, decisions, customers, projects, and code. Use this whenever the user asks about their work history ("what did Maya say", "status of the SDK", "who's working on Domain"), or asks to save something ("remember that we decided X", "save this from the meeting"), or asks to pull recent activity ("refresh from yesterday's meetings"). Triggers on memory-related phrases — "memory", "vault", "remind me about", "what was the latest on", "save this", "remember this", "ingest", "audit my memory". Drive-backed, no install required. Six sub-flows internally: ask, save, refresh, audit, heal, ingest-code.
pylon-customer-history
Pull a customer's recent Pylon support history and synthesize it into structured memories tied to the customer's pylon-account surface entity. Use when the user asks "what's going wrong with <customer>?", "summarize <customer>'s Pylon", "what bugs has <customer> reported?", "what's the support backlog for <customer>?", or batch-ingesting Pylon as a recurring source. Each thread becomes a `type: feedback` or `type: project_fact` memory with `source_surface: "[[<customer-name> Pylon]]"`. Directly fills the G14 customer-triad gap (contact + meeting + commit) by capturing the support leg structurally.
slack-channel-digest
Pull recent activity from a Slack channel and write structured memories tied to the channel's surface entity. Use when the user asks "what's happening in
ai-sdk
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".
codex-result-handling
Internal guidance for presenting Codex helper output back to the user
geo-blog-post
Use when writing or editing a blog post optimized for AI citations — covers post structure, frontmatter patterns, content rules, schema requirements, and a pre-publish GEO checklist based on Princeton research. Do NOT use for social media posts, landing pages, general content writing, or non-blog formats.
postmortem
Detect your replies to surfaces and score their 7-day outcome (upvotes, replies, banned). Closes the loop on which patterns convert vs flop. Requires Reddit OAuth identity scope (set up via docs/setup-oauth.md). Triggers on "postmortem", "/subscope:postmortem", "score my replies", "did my reddit replies work", "reddit reply outcomes", "reply post-mortem".
goal
Goal Prompt design coach. Turns vague tasks into precise goal prompts that fit the five-element framework (outcome / verification / constraint / iteration policy / error handling) plus an optional rubric — so Claude Code's /goal, OpenAI Codex's /goal, or Manus Agent's /goal has a clear target to iterate against. 把模糊任務透過反問轉成五元素 + rubric 的精確 goal prompt。
four-leaf-coach
Job search and interview prep coach. Pulls real postings, role intelligence, and resume scoring from the hosted Four-Leaf MCP. Use when the user wants to find jobs, prep for interviews, practice answers, score a resume against a JD, or work through compensation negotiation. Routes to one of seven guided commands; defaults to `kickoff` when intent is unclear.
app-secrets
Guide for creating and using secrets in Fusebase Apps app backends. Use when: (1) An app backend needs API keys, passwords, or other sensitive config, (2) Creating secrets via the CLI, (3) Accessing secrets at runtime in backend code, (4) Deciding what should be a secret vs. a regular env var.
macos-app-design
Design and build OpenAI-Codex-quality native macOS apps with the polish of Linear, Things 3, Granola, Notion Calendar, Arc Browser, Raycast, and Apple's own apps. Use this skill whenever the user is building, reviewing, or polishing a native Swift/SwiftUI Mac app — including AI coding tools, productivity apps, note-taking apps, design tools, dev tools, menu-bar utilities, or document-based apps. Targets macOS 14 (Sonoma) minimum and especially macOS 26 (Tahoe / Liquid Glass). Triggers on: macOS, Mac app, native Mac, SwiftUI Mac, AppKit, NSWindow, NSToolbar, NSStatusItem, NavigationSplitView, sidebar, toolbar, menu bar, MenuBarExtra, traffic lights, multi-window, document-based app, NSDocument, .commands, .keyboardShortcut, .onHover, .contextMenu, three-column layout, Inspector pattern, Liquid Glass macOS, Tahoe, command palette, Cmd-K, Dock badge, Sparkle, notarization, Developer ID, code editor, syntax highlighting, SF Mono, Stage Manager, Continuity, Spotlight, Quick Look, Apple Intelligence.
brand-and-content-system
Extract real brands (Wayback for rebuilds). Copy system, headline/CTA rules, trust surfaces, legal pages, SEO+structured data, anti-AI-slop, microcopy, DESIGN.md, W3C DTCG tokens, pSEO 5 types, GEO/AI search.
independent-idea-engine
Fierce autonomous internal co-founder. Bounded web research for evidence-backed improvements. Structured idea formulation with self-critique filter that rejects ideas not serving the goal. Auto-implements high-confidence aligned improvements, proposes medium-confidence ideas for approval. Evaluates viral coefficient, AI search visibility (GEO), and solo SaaS economics. Considers higher pursuits: employing disabled people, spiritual tech investigation, 99% wealth donation ethos.
media-orchestration
Section-by-section media planning and generation. Image generation (GPT Image 1.5 primary, built-in fallback), logo/icon generation (Ideogram v3 → favicon set), video generation (Sora), social preview images (OG 1200x630 + AI search optimization), stock photo curation (Pexels, Pixabay), critique/remix loops (max 3 rounds), asset compression pipeline, and media performance budgets.
site-generation
End-to-end AI website generation pipeline. Claude Opus 4.8 emits Bolt-style <boltArtifact> envelopes (multi-file, plan-first) that customize Vite+React+Tailwind templates from pre-researched business data. Pre-research via APIs, media acquisition, brand extraction, visual inspection via GPT Image 2 vision, R2 upload (per-file content-type by extension), D1 status updates. Supports all business types: SaaS, portfolio, non-profit, restaurant, salon, medical, legal, retail, tech.
produce-asset
Turns a brief-graphic artifact into render-ready prompts + an asset manifest. Tool-agnostic by design — emits prompts tuned for your chosen image engine (Midjourney / DALL·E / Imagen / Figma / designer); the stack holds no API keys and runs no render engines. Use when a design brief exists and you need production-ready prompts. Not for the copy that goes in the asset (use write-copy), the brief itself (use brief-graphic), or publishing the rendered asset (use publish-social).
ui-ux-pro-max
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples.
weakpass
Search hashes through 25 billion leaked passwords using the Weakpass API (no API key required).
resume
AI-powered resume system. Manages structured experience data and generates tailored LaTeX resumes for different job targets. Use when user says 'resume', 'generate resume', 'make resume', 'init resume', 'add experience', '简历', '生成简历', '初始化简历', or '添加经历'.
skill-reviewer
Audit AI skill files or skill folders for security risks before installing. Reads SKILL.md and related metadata, checks for dangerous patterns, and returns a safety verdict.
cost-analysis
Use this skill when the user asks for a cost audit, margin analysis, unit economics, "how much does this cost to run", "what's our margin", "are we losing money on X plan", "compare top-up packs", pricing health-check, or any variant of "is this priced right". Inventories every paid API call, SDK invocation, scraper, render provider, and managed service (Vercel, Resend, Supabase, Stripe, Replicate, Fal, Apify, Upstash, Anthropic, OpenAI, Gemini, etc.), pulls per-unit rates from canonical sources, then compares against the project's pricing model (subscription tiers, top-up packs, usage-based, free). Computes margins for redlining / average / power users, surfaces loss-making paths, and diffs against prior snapshots stored in memory. Optionally writes a COSTS.md to the repo. Also invocable as `/cost-analysis`.
anti-ai-writing
Edit any piece of writing to remove AI tells. Strips banned words ("delve," "unlock," "leverage," "robust," "harness," "showcase," "navigate," "vibrant," "framework," "ecosystem," and 50+ others), banned phrases ("in today's fast-paced world," "unlock the potential of," "it is worth noting that," "in conclusion"), banned structures (em dashes, en dashes, compound-word hyphens, the default rule of three, bulleted bold-title lists, formulaic transitions like "Furthermore"), and weak verb constructions ("utilize," "facilitate," "serves as a"). Use this skill whenever the user says "make this sound human," "remove the AI tells," "edit this so it doesn't sound like ChatGPT," "humanise this," "proofread for AI," "this reads like an LLM," "make this less corporate," "rewrite without AI words," or shares any draft and wants it sharper and more human. Works in English and Spanish; the banned list is language-aware.
tech-radar
MUST use when user asks 'what's new?', 'any updates?', 'latest versions?', 'breaking changes?', 'should we upgrade?', 'what changed in X?', or when starting a new project to check if dependencies are current. Also trigger proactively at the start of major upgrade sessions.
supplement-scorer
Score, rate, evaluate, or compare any dietary supplement on three dimensions (formula, quality, safety) using a deterministic, evidence-anchored engine rather than the model's own guess. Brand-agnostic, works across markets and languages. Make sure to use this skill whenever the user pastes a supplement ingredient list, describes a vitamin / mineral / multivitamin / sleep / sports / herbal product, shares or photographs a supplement facts label, or asks things like 'is this supplement any good', 'which one should I buy', 'rate this formula', or 'compare these two' — even if they never say the word 'score'. The skill runs a Python engine for consistent, auditable numbers and supplies structure-function compliance guardrails.
last30days
Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.
epic-identification
This skill should be used when the user asks to "identify epics", "break down vision into epics", "find major features", "discover capability areas", "decompose vision", "group requirements into themes", "define high-level features", "what epics do I need", "turn vision into work items", or "split project into epics". Provides methodology for deriving epics from a vision statement using user journey mapping, capability decomposition, and stakeholder analysis.
prioritization
This skill should be used when the user asks to "prioritize requirements", "prioritize epics", "prioritize stories", "prioritize tasks", "prioritize backlog", "use MoSCoW", "apply MoSCoW priorities", "assign priorities", "set priority labels", "rank features", "what should I build first", "what's most important", "order by importance", "must have vs should have", or when they need to determine the priority order of epics, user stories, or tasks using the MoSCoW framework.
requirements-feedback
This skill should be used when the user asks about "feedback loops", "iterate on requirements", "continuous documentation", "refine requirements", "update requirements", "requirements changed", "stakeholder review", "validate requirements", "incorporate feedback", "gather feedback", "requirements review meeting", "backlog refinement feedback", "user research findings", "sprint retrospective feedback", "help me gather feedback", "run a feedback session", "get input on my vision", "get input on my epics", "get input on my stories", "collect user feedback", "document feedback from meeting", "review requirements with stakeholders", or when they need guidance on collecting and incorporating feedback throughout the requirements lifecycle.
shared-patterns
This skill should be used when the user asks to "implement recovery flow", "add error handling to command", "handle gh operation failures", "implement idempotency check", "prevent duplicate issues", "check before creating", "implement batch tracking", "track created and failed items", "implement two-layer metadata", "update custom fields and labels", "standardize command patterns", or when developing or modifying /re:* commands that need consistent error handling, duplicate detection, batch operation tracking, or GitHub Projects metadata updates.
task-breakdown
This skill should be used when the user asks to "create tasks", "break down story into tasks", "define tasks", "what tasks are needed", "write acceptance criteria", "implementation tasks", "task list", "create work items", "technical tasks", "work breakdown", "decompose story", "story to tasks", or when decomposing user stories into specific, executable tasks with clear acceptance criteria for GitHub Projects.
user-story-creation
This skill should be used when the user asks to "create user stories", "write user stories", "break down epic into stories", "define user stories", "what stories do I need", "apply INVEST criteria", "write acceptance criteria", "split a large story", "story is too big", "story splitting", or when decomposing epics into specific, valuable user stories.
validation
This skill should be used when the user asks to "validate requirements", "review requirements quality", "check requirements completeness", "verify traceability", "check INVEST compliance", "validate user stories", "requirements health check", "quality gate check", or when running /re:review validation.
vision-discovery
This skill should be used when the user asks to "discover vision", "create a vision", "define product vision", "document vision", "what should my vision be", "help me with vision", "start requirements from scratch", "begin new product planning", "define product direction", "establish product vision", or when starting a new requirements project and needs to establish the foundational product vision before identifying epics or stories.
external-review
Run a fresh-context review of CDK before a release. --mode=quick spawns a Claude general-purpose subagent with no project memory and an auto-bundled snapshot. --mode=full fans out the same bundle to GPT-4.1, Gemini 2.5 Pro, Mistral Large, and Perplexity Sonar Pro for cross-LLM coverage. Maintainer-only; not shipped to user projects.
learning-opportunity
Pause development to learn a concept at 3 levels of depth. Triggers when unfamiliar patterns, new frameworks, or complex concepts appear during development.
project-context
Provides project context (tech stack, conventions, key rules) to subagents. Not a user command - loaded by the orchestrator when dispatching review subagents.
runaway-guard
Use when writing or reviewing code that calls a paid AI / inference API in a loop, queue, retry path, agent step, webhook handler, or background job — Fal.ai, Anthropic, OpenAI, Replicate, ElevenLabs, Together, Groq, Cohere, Mistral, fal-client, @anthropic-ai/sdk, openai, replicate. Treats dollar cost as a third complexity dimension alongside time and space. Forces writing a per-run $-cap, a per-day $-cap, a max-iterations bound, and a concurrency limit BEFORE the call site is written — and forces a matching hard cap at the provider dashboard so a code bug cannot bypass it. The canonical failure is a $200 overnight bill from a retry loop that "obviously terminates" but did not. Pairs with invariant-guard (termination is now a wallet invariant) and complexity-cuts (when the runaway already shipped).
product-shots-image-gen
Unified image-generation engine for the product-shots ecosystem. Dispatches to the right model family (OpenAI gpt-image-2 / Gemini gemini-3-pro-image-preview Nano Banana Pro) with one parameterised script for text-to-image and image-to-image. Primary backend: OmniMaaS / Cloubic gateway (https://api.omnimaas.com/v1); also supports any OpenAI-SDK-compatible gateway via fallback env vars. Auto-resizes oversized reference images to prevent edge-proxy timeouts. Use when the user says "generate an image", "make a picture", "create a visual", "render this", "edit this image", "做一张图", "生成图片", "改这张图" — or when invoked as the image-generation backend by another product-shots skill (main-image / detail-page / ad-creative / social-post / multi-angle). NOT a creative-direction skill: takes a prompt + optional reference images, returns a file path.
consensus-orchestrator
Orchestrates multi-AI review process. Coordinates Claude, ChatGPT (codex CLI), and Gemini (gemini CLI) reviews. Each CLI's verdict is appended to the session jsonl the aggregator reads, per-CLI timeout (consensus.cliTimeoutSeconds, default 90) so the aggregator never falls through to its 600s global wait. On NEEDS_REVISION verdicts the skill auto-invokes consensus-arbiter to decide which reviewer suggestions are applicable to the current phase.
ai-seo-maxer
Optimize websites for visibility in generative AI search experiences (Google AI Overviews, AI Mode, ChatGPT/Perplexity citations) based on Google Search Central's official AI optimization guidance. Use this skill whenever the user mentions AI SEO, GEO (generative engine optimization), AEO (answer engine optimization), LLM SEO, AI Overviews, AI Mode, getting cited by AI/chatbots, llms.txt, content chunking for AI, RAG visibility, query fan-out, agentic/AI-agent readiness, or asks to audit, write, or restructure web content for search — even if they only say "SEO" generically or ask "how do I show up in ChatGPT/Gemini answers". Also trigger when reviewing site architecture, drafting marketing/blog content intended to rank, or evaluating third-party AEO/GEO advice or tools.
agenticx-automation-crontask
Build and maintain Near Desktop scheduled (cron) tasks — default workspace ~/.agenticx/crontask, schedule_task tool, execution contract, and user-facing output. Use when the user wants recurring automation, crontab-style jobs, or to author/fix automation task prompts.
code-dev-workflow
Near code_dev harness — Explore, Read, Author phases with outline-first context discipline.
ctx-doctor
Run context-mode diagnostics. Checks runtimes, hooks, FTS5, plugin registration, npm and marketplace versions. Trigger: /context-mode:ctx-doctor
ctx-insight
Open the context-mode Insight analytics dashboard in the browser. Shows personal metrics: session activity, tool usage, error rate, parallel work patterns, project focus, and actionable insights. First run installs dependencies (~30s). Subsequent runs open instantly. Trigger: /context-mode:ctx-insight
ctx-stats
Show how much context window context-mode saved this session. Displays token consumption, context savings ratio, and per-tool breakdown. Read-only — shows stats only, no reset capability. To wipe the knowledge base entirely, use ctx_purge instead. Trigger: /context-mode:ctx-stats
ctx-upgrade
Update context-mode from GitHub and fix hooks/settings. Pulls latest, builds, installs, updates npm global, configures hooks. Trigger: /context-mode:ctx-upgrade
agenticx-automation-crontask
Build and maintain Near Desktop scheduled (cron) tasks — default workspace ~/.agenticx/crontask, schedule_task tool, execution contract, and user-facing output. Use when the user wants recurring automation, crontab-style jobs, or to author/fix automation task prompts.
code-dev-workflow
Near code_dev harness — Explore, Read, Author phases with outline-first context discipline.
ctx-doctor
Run context-mode diagnostics. Checks runtimes, hooks, FTS5, plugin registration, npm and marketplace versions. Trigger: /context-mode:ctx-doctor
ctx-insight
Open the context-mode Insight analytics dashboard in the browser. Shows personal metrics: session activity, tool usage, error rate, parallel work patterns, project focus, and actionable insights. First run installs dependencies (~30s). Subsequent runs open instantly. Trigger: /context-mode:ctx-insight
ctx-stats
Show how much context window context-mode saved this session. Displays token consumption, context savings ratio, and per-tool breakdown. Read-only — shows stats only, no reset capability. To wipe the knowledge base entirely, use ctx_purge instead. Trigger: /context-mode:ctx-stats
ctx-upgrade
Update context-mode from GitHub and fix hooks/settings. Pulls latest, builds, installs, updates npm global, configures hooks. Trigger: /context-mode:ctx-upgrade
agenticx-automation-crontask
Build and maintain Near Desktop scheduled (cron) tasks — default workspace ~/.agenticx/crontask, schedule_task tool, execution contract, and user-facing output. Use when the user wants recurring automation, crontab-style jobs, or to author/fix automation task prompts.
code-dev-workflow
Near code_dev harness — Explore, Read, Author phases with outline-first context discipline.
ctx-doctor
Run context-mode diagnostics. Checks runtimes, hooks, FTS5, plugin registration, npm and marketplace versions. Trigger: /context-mode:ctx-doctor
ctx-insight
Open the context-mode Insight analytics dashboard in the browser. Shows personal metrics: session activity, tool usage, error rate, parallel work patterns, project focus, and actionable insights. First run installs dependencies (~30s). Subsequent runs open instantly. Trigger: /context-mode:ctx-insight
ctx-stats
Show how much context window context-mode saved this session. Displays token consumption, context savings ratio, and per-tool breakdown. Read-only — shows stats only, no reset capability. To wipe the knowledge base entirely, use ctx_purge instead. Trigger: /context-mode:ctx-stats
ctx-upgrade
Update context-mode from GitHub and fix hooks/settings. Pulls latest, builds, installs, updates npm global, configures hooks. Trigger: /context-mode:ctx-upgrade
deeppapernote
Generate a high-quality deep-reading note for a single paper and write it into an Obsidian-style vault. Use when the user gives a paper title, DOI, URL, arXiv ID, Zotero item, or local PDF and wants a polished Markdown note with strong structure, evidence-based analysis, and figure placeholders.
executive-resume-writer
Create C-suite and VP level resumes emphasizing strategic leadership
free-image-and-video-generation
Free local AI image and video processing toolkit with cloud AI generation. Local tools: upscale (Real-ESRGAN), face enhance (GFPGAN/CodeFormer), background remove (rembg), object erase (LaMa), face swap (InsightFace), segment (FastSAM), media process (FFmpeg). Cloud tools: AI image/video generation via Atlas Cloud API (300+ models). For cloud generation, ALWAYS first use Atlas Cloud MCP tools (atlas_list_models, atlas_get_model_info) to find the model ID and parameter schema, then call scripts/ai-generate.py with the correct --model and parameters. Use when user asks to process, enhance, upscale, generate, or edit images/videos.
interview-prep-generator
Generate STAR stories, practice questions, and talking points from resume
job-description-analyzer
Analyze job postings, calculate match scores, identify gaps, and create application strategy
linkedin-profile-optimizer
Optimize LinkedIn profile for searchability, recruiter visibility, and engagement
nsauditor-ai
Use this skill whenever the user wants to perform network security scanning, auditing, vulnerability assessment, or host reconnaissance using NSAuditor AI. Triggers include: any mention of 'scan', 'audit', 'vulnerability', 'CVE', 'network security', 'port scan', 'service detection', 'OS fingerprinting', 'security assessment', 'penetration test', 'probe', 'MITRE ATT&CK', 'CPE', 'NVD', 'TLS audit', 'cipher check', 'banner grab', 'SNMP', 'NetBIOS', 'SMB', 'DNS security', 'DKIM', 'SPF', 'DMARC', 'DNSSEC', 'certificate audit', 'SARIF', 'CTEM', 'continuous monitoring', 'host discovery', 'mDNS', 'UPnP', 'SSDP', 'ARP scan', 'subnet scan', or references to NSAuditor, nsauditor-ai, or the nsauditor MCP server. Also triggers when the user asks to check if a host is up, enumerate services, detect TLS versions, find open ports, look up CVEs for a software version, audit DNS records, check certificate expiry, or perform continuous security monitoring. Use this skill even if the user doesn't explicitly say "NSAuditor" — if
offer-comparison-analyzer
Compare multiple job offers side-by-side with total compensation analysis
co-scientist-resume
Resume an interrupted Co-Scientist run from Codex.
hypothesis-initial-review
Run the initial review gate for a hypothesis.
hypothesis-observation-review
Evaluate a hypothesis against prior observations.
hypothesis-review-summary
Summarize the completed reviews for a hypothesis.
cliany-site
Use when the user wants to automate web workflows into CLI commands via Chrome CDP and LLM. Supports exploring pages, generating adapters, and replaying actions through the cliany-site tool.
blindar
Audita, blinda, otimiza e prepara o projeto para produção. Roda autônomo: baseline → discovery (3 agentes paralelos) → bootstrap sec.html → rounds pequenos (cada um = 1 PR mergeado) → adversarial review a cada 10 rounds → production checklist → relatório. Mantém sec.html como dashboard vivo. Termina quando: 0 crit + ≤2 high após review adversarial. Sem perguntar nada, sem pausar, sem pedir confirmação.
mcp-architect
MCP (Model Context Protocol) 2025-11-25 server standards — tool/resource/prompt primitives, capability negotiation, Streamable HTTP transport with Mcp-Session-Id, OAuth 2.1 + RFC 8707 resource indicators, tool annotations (readOnly/destructive/idempotent), structured output, JSON-RPC error mapping, prompt-injection and SSRF defenses, MCP Inspector testing. Python (FastMCP) and Go (official SDK) recipes. Use when designing, reviewing, or scaffolding an MCP server.
ai-product
Expert in shipping production-grade AI-powered features — LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, safety and guardrails, streaming, and cost optimization.
last30days
Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.
core
Extraction schemas, QC criteria, provider routing rules, and page estimation for the reading-assistant plugin
deploy-kimi-k26-blackwell
Deploy and serve Moonshot Kimi-K2.6 (1T MoE, INT4/Marlin, 256K context, vision) on an Ubuntu server with 8× NVIDIA RTX PRO 6000 Blackwell (sm_120) GPUs using a uv venv + SGLang, exposing an OpenAI-compatible API. Use when deploying or serving Kimi-K2.6 (or similar INT4 compressed-tensors MoE models) on RTX PRO 6000 Blackwell / sm_120 hardware, installing SGLang in a uv venv, or troubleshooting sm_120 startup crashes — CUDA JIT "rsqrt exception specification" / glibc errors, FlashInfer CuTe-DSL MLIR ICE (llvm.mlir.global_dtors), or a slow/hung MoE weight load.
deploy-kimi-k26-on-rtx-pro-6000
Deploy and serve Moonshot Kimi-K2.6 (1T MoE, MLA, 256K context, vision) in a user-chosen quantization — official INT4 QAT (moonshotai/Kimi-K2.6, compressed-tensors→Marlin; vLLM or SGLang) or NVFP4 (nvidia/Kimi-K2.6-NVFP4, ModelOpt FP4; vLLM only — SGLang NVFP4 is NaN-broken on sm_120) — on a Linux server (verified Ubuntu 26.04) with 8× NVIDIA RTX PRO 6000 Blackwell Server Edition (96 GB, sm_120) GPUs. The quantization and the engine are both chosen at deploy time with a hardware-based recommendation. Runs an official-image Docker container via nvidia-container-toolkit CDI (--device nvidia.com/gpu=all --ipc=host --network host, bind-mounted weights), exposing an OpenAI-compatible API on :30000 behind one static systemd service `kimi-k26` (quant + engine selected via its EnvironmentFile — only one 595 GB variant fits the 8-GPU pool at a time). Use when deploying or serving Kimi-K2.6 INT4 or NVFP4 on RTX PRO 6000 Blackwell / sm_120 hardware (vLLM-in-Docker, or SGLang-in-Docker for INT4) — or troubleshooting NCCL
30x-seo-ai-visibility
Monitor brand visibility across AI platforms (Google AI Overview, ChatGPT, Claude, Gemini, Perplexity). Track LLM mentions, analyze AI-generated citations, identify AI search opportunities. Use when user says "AI visibility", "LLM mentions", "AI Overview", "ChatGPT visibility", "AI search", "generative search", "AI citations", or "brand in AI".
30x-seo-content-audit
Content quality audit for both traditional SEO (E-E-A-T) and AI search (citability, structure, authority). Use when user says "content audit", "content quality", "E-E-A-T", "AI citability", "content analysis", or "is my content good for SEO".
30x-seo-geo-technical
Technical SEO for AI search engines. Checks AI crawler accessibility, llms.txt compliance, robots.txt configuration, server-side rendering. Outputs problems + fixes (generates llms.txt, robots.txt modifications). Use when user says "AI crawlers", "llms.txt", "GPTBot", "GEO technical".
30x-seo-local
Local SEO audit and optimization for Google Business Profile, Google Maps, and Gemini Ask Maps. Covers GBP completeness, NAP consistency, review strategy, local schema, competitor benchmarking, GeoGrid visibility, multi-location, AI Local Pack readiness, and GBP suspension prevention. Use when user says "local SEO", "Google Business Profile", "GBP", "Google Maps", "Ask Maps", "local pack", "NAP audit", "local citations", "review strategy", "local competitors", "multi-location", "GBP suspended".
seo
Master SEO orchestrator with 24 specialized sub-skills across 9 categories. Comprehensive SEO analysis for any website or business type. Performs full site audits, single-page deep analysis, technical SEO checks (crawlability, indexability, Core Web Vitals with INP), schema markup, content quality (E-E-A-T framework), image optimization, sitemap analysis, site architecture planning, AI search optimization (GEO for ChatGPT, Perplexity, AI Overviews), backlink analysis, keyword research, SERP tracking, and AI visibility monitoring. Industry detection for SaaS, e-commerce, local business, publishers, agencies. Triggers on: "SEO", "audit", "schema", "Core Web Vitals", "sitemap", "E-E-A-T", "AI Overviews", "GEO", "technical SEO", "content quality", "page speed", "structured data", "site architecture", "metadata", "AI SEO", "backlinks", "link building", "keywords", "keyword research", "SERP", "AI visibility", "local SEO", "GBP", "Google Business Profile", "Google Maps", "local pack", "NAP", "local citations", "Ask
super-claudiomedia-content-creation
Media content creation skill. Use when the user wants to create, generate, or produce any kind of video, audio, or image. This is the main skill for all media generation tasks. Trigger on video: "I want to make a video", "create a TikTok video", "generate a realistic video", "make a promo video", "animate my photo", "create a video ad", "Remotion", "Higgsfield", "Kling", "Seedance", "Weavy AI", "Hailuo". Trigger on audio: "read this article aloud", "create a voiceover", "text to speech", "TTS", "generate narration in Portuguese", "background music", "create a jingle", "ElevenLabs", "Francisca Neural", "Suno", "Udio", "audio summary". Trigger on image: "generate an image", "create a graphic", "make a diagram", "draw X", "generate a photo of Y", "make an infographic", "Midjourney", "DALL-E", "Flux", "Napkin.ai", "Nano Banana 2", "animate a static image". Also triggers for: marketing creatives, social media visuals, product photos, content creator tools.
agent-codex-gate
Pattern for spawning subagents that must get Codex approval before their work is accepted. Use when dispatching parallel agents that each need independent Codex review gates.
model-routing
Choose the right LLM and model for each task based on proven patterns. Use when deciding whether to delegate to Claude, Codex, Gemini, Grok, or Mistral, or when selecting model variants. Mistral Vibe selects model via `VIBE_ACTIVE_MODEL` env var (no `--model` flag).
multi-llm-consensus
Run a task through multiple LLMs (Claude, Codex, Gemini, Grok, Mistral) independently and require agreement before proceeding. Use for high-stakes generation, conflict resolution, or final quality gates requiring unanimous approval.
multi-llm-orchestration
Guide for orchestrating multiple LLMs via the llm-gateway — use when delegating tasks to Codex, Gemini, Grok, or Mistral, running parallel reviews, or managing cross-LLM workflows. Covers cache-aware `promptParts` dispatch and the `cache-state://` MCP resources.
red-team-assessment
Get an adversarial red team security assessment from any LLM (Claude, Codex, Gemini, Grok, or Mistral) with gateway-managed approvals and optional sqry, exa, and ref_tools MCP access. Use when you need adversarial security analysis of code, architecture, or configurations.
fabric-data-agent
Use when configuring Microsoft Fabric Data Agents (GA March 2026) — conversational Q&A built on Azure OpenAI Assistant APIs over Lakehouse / Warehouse / KQL / Semantic Model / Fabric SQL DB / Mirrored DB / Ontology / Microsoft Graph (≤5 sources per agent). Covers the four configuration layers (agent instructions, data source instructions, descriptions for routing, example queries ≤100/source), when to use vs semantic-model AI instructions, the governance precedence chain (organizational → role-based → developer → user intent), best practices (scope to the right layer, iterate against real questions, version control alongside data platform code), and key limitations (read-only, structured data only, English only, 25-row/25-column response cap, no example queries on semantic model sources). Python SDK (incl. programmatic eval), Copilot Studio, Azure AI Foundry / Agent Service integrations, and service-principal auth for the published query endpoint (not on Foundry/Copilot or KQL) all remain in preview.
local-rag-mcp
Use when querying, ingesting, or maintaining a local RAG MCP corpus for semantic document retrieval with privacy controls.
model-routing
Use when selecting a model for a new task or subagent, deciding whether to escalate after a failed attempt, or designing a multi-agent pipeline with mixed task complexity.
gemini-image-gen
Generate or edit images with Google Gemini. Alternative to DALL-E for image generation. Requires GEMINI_API_KEY.
openai-image-gen
Generate images with DALL-E 3 via OpenAI API. Use when user asks to create or generate images. Requires OPENAI_API_KEY.
research-lookup
Look up current research information using the Parallel Chat API (primary) or Perplexity sonar-pro-search (academic paper searches). Automatically routes queries to the best backend. Use for finding papers, gathering research data, and verifying scientific information.
opencli
Use when an AI agent needs to install, inspect, troubleshoot, or operate a local OpenCLI setup, or when a task involves websites, Electron desktop apps, browser-login reuse, downloads, plugins, external CLI passthrough, or adapter generation through OpenCLI.
behavior-institutionalization
Encode desired agent behavior into durable prompt policy using concrete do and dont rules, escalation triggers, communication constraints, and reporting standards. Use when Codex needs to design or audit system prompts, agent constitutions, collaboration rules, or behavior control layers.
blast-radius-permission
Design or audit permission systems that combine rule-based allow ask deny logic, safety checks, auto-mode classifiers, dangerous-rule stripping, and blast-radius-aware user confirmation. Use when Codex needs to build or review tool permission layers, approval workflows, or risk-scoped execution policies.
context-hygiene-system
Keep long-running agent conversations healthy with attachment filtering, tool-result budgeting, snip and microcompact passes, context collapse, autocompact, reactive recovery, and queued-command hygiene. Use when Codex needs to build or audit long-context runtime loops, compaction systems, or context management pipelines.
hook-governance-layer
Design, review, or extend hook-based governance layers for tool runtimes with pre and post hooks, permission mediation, continuation control, additional context injection, and non-fatal hook errors. Use when Codex needs to build or audit hook systems, policy middleware, or execution governance around tools.
mcp-integration-plane
Design, review, or debug MCP integration layers with multi-transport connectivity, auth lifecycle handling, tool and resource discovery, output persistence, session-expiry recovery, and elicitation support. Use when Codex needs to build or audit MCP clients, connector planes, or external tool integration systems.
multi-agent-orchestration
Design, review, or operate multi-agent systems with role-specialized workers, scoped permissions, forked context, skill preloading, additive MCP connections, and explicit cleanup. Use when Codex needs to build or audit agent swarms, subagent delegation, worker roles, or cooperative task execution pipelines.
prompt-assembly-architecture
Design, review, or refactor prompt assembly systems with static and dynamic prompt boundaries, section registries, cache-aware composition, feature-gated overlays, and session-specific instruction injection. Use when Codex needs to build or audit system prompt pipelines, prompt builders, prompt layering, or instruction composition code.
prompt-cache-economics
Optimize prompt systems for cache efficiency, stable prefixes, fork-safe reuse, compact summarization, and instruction budgets. Use when Codex needs to design or audit prompt caching, prompt reuse, compaction prompts, skill listing budgets, or cache-safe agent forks.
skill-workflow-packaging
Package reusable workflows as discoverable skills with command metadata, invocation contracts, char-budgeted listings, forked execution, and MCP-sourced skill merging. Use when Codex needs to create or audit skill systems, slash-command skills, or workflow packaging for reusable agent capabilities.
tool-runtime-pipeline
Design, review, or debug tool execution runtimes with input validation, hook integration, permission resolution, telemetry, structured results, and failure handling. Use when Codex needs to build or audit tool call pipelines, tool runners, tool middleware, or execution orchestration code.
verification-agent
Design or operate adversarial verification agents that independently validate implementation work with command-backed evidence, strict read-only boundaries, and explicit PASS FAIL PARTIAL verdicts. Use when Codex needs a post-implementation verifier, QA subagent, or evidence-first acceptance gate for non-trivial changes.
ai-discoverability-audit
Audit how a brand appears in AI-powered search (ChatGPT, Perplexity, Claude, Gemini). Use when user mentions "AI search," "how do I show up in ChatGPT," "AI discoverability," "AEO," "LLM visibility," or wants to understand their brand's AI presence.
linkedin-profile-optimizer
Audit and rewrite your LinkedIn profile to attract the right people. Scores each section, rewrites headline and about copy, and includes an AI visibility checklist so you show up in ChatGPT, Perplexity, and Claude search. Use when someone says "optimize my LinkedIn," "LinkedIn profile help," "rewrite my about section," or "how do I show up in AI search."
reddit-insights
Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server. Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche markets or underserved needs, (3) Research what people really think about products/topics, (4) Find content inspiration from real discussions, (5) Analyze sentiment and trends on Reddit, (6) Validate business ideas with real user feedback. Triggers: reddit search, find pain points, market research, user feedback, what do people think about, reddit trends, niche discovery, product validation.
stuntdouble
Your frontier model is the star — stop making it do the stunts. Two modes. ADVISOR: analyzes a task and recommends the best AI model (Anthropic/OpenAI/Google) with the exact switch command. ORCHESTRATOR: stays ON for the whole session (like a mode toggle) — every task gets scored, decomposed, and dispatched to "stunt double" workers running the cheapest capable model OF THE HOST'S OWN PROVIDER (Claude models in Claude Code, OpenAI models in Codex, Gemini models in Gemini CLI), with the star (strongest model) doing only the final close-up: verification. TRIGGER on /stuntdouble, "stuntdouble on/off", "which model should I use", "select the best model", "optimize model usage", "is this task worth Opus". DO NOT TRIGGER when the user asks about model pricing/APIs in their own application code.
imagegen
Generates or edits images for the current project (website assets, game assets, UI mockups, product mockups, wireframes, logos, photorealistic scenes, infographics) using gpt-image-2 via the local Codex CLI authenticated with the user's ChatGPT subscription. Use when the user asks to generate, edit, restyle, mockup, or remix images, or mentions gpt-image-2 / GPT Image 2 / ChatGPT Images 2.0.
research
研究调度：先用 SubAgent 快速侦察（Quick Recon）摸清大方向和知识缺口，再决定是否升级到 Deep Research 平台。节省 Deep Research 额度，让外部平台只处理真正需要深挖的盲点。当用户需要深度调研、竞品分析、市场研究、学术检索、行业报告时触发。用户说"帮我研究一下"、"调研"、"深度分析"、"找一下资料"、"了解一下XX市场/行业"时都应触发。涉及多平台交叉验证的复杂研究任务尤其适用。即使用户只是问一个需要查证的问题，也应触发此技能来决定最佳研究路径。
giasip-research
研究调度：先用 SubAgent 快速侦察（Quick Recon）摸清大方向和知识缺口，再决定是否升级到 Deep Research 平台。节省 Deep Research 额度，让外部平台只处理真正需要深挖的盲点。当用户需要深度调研、竞品分析、市场研究、学术检索、行业报告时触发。用户说"帮我研究一下"、"调研"、"深度分析"、"找一下资料"、"了解一下XX市场/行业"时都应触发。涉及多平台交叉验证的复杂研究任务尤其适用。即使用户只是问一个需要查证的问题，也应触发此技能来决定最佳研究路径。
ai-slop-detector
Universal prose audit. Scores writing on TWO axes — AI-Slop (does this read like AI wrote it?) and Comprehension (can a fresh reader follow this?). Use whenever the user wants to audit, critique, score, or fix prose. Triggers on "audit this", "review this", "is this AI", "is this readable", "does this sound like AI", "humanize this", "make this less AI", "AI slop check", "score this", "detect AI writing", "slop check", "de-slop this", "is this readable", "would a fresh reader follow this", "comprehension check". Also use as a final pre-delivery pass inside other writing skills (cold-email, copywriting, sales-enablement, ad-creative, email-sequence, mahmouds-seo-writer, mahmouds-reddit-strategist, mahmouds-writing-voice). Catches 45 AI-slop patterns + ~150 vocab tells + ~33 formatting tells + 35 comprehension patterns + 8 readability metrics, with density-based scoring on both axes, audience calibration, model fingerprinting, and dual-verdict output.
automation-level-advisor
Acts as an AI-automation consultant for non-developers. Use this skill when a non-technical person is wondering whether or how to use AI for a specific task, asks "should I automate X?", asks how much they can hand off to AI, or invokes the skill by name. It interviews the person in plain language, classifies their task by the RIGHT LEVEL OF HUMAN INVOLVEMENT (oversight / loop level, NOT economic ROI), and produces an execution plan plus two saved report files (Markdown and HTML). Do NOT use it for pure cost/benefit ROI estimation, or for developer-facing agent engineering questions.
t2i-prompt-dialect
Rewrite an asset brief into the exact prompt dialect of the target image model (OpenAI gpt-image-1, Google Imagen/Gemini, SDXL, Flux.1/Flux.2, Midjourney, Ideogram, Recraft). Handles negative-prompt translation, token budgets, transparency quirks, brand-palette injection, and text-in-image ceilings so that `asset_generate_*` submissions succeed on the first try.
transparent-bg
Produce a truly RGBA-transparent asset from a brief. Handles the
code-review
Run a final code review on a pull request
code-review-context
Model visible context
code-review-testing
Test authoring guidance
remote-tests
How to run tests using remote executor.
skill-installer
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
secret-scanner
Scan a codebase for hardcoded secrets — API keys, tokens, private keys and passwords — using a custom regex + Shannon-entropy engine. Use when the user asks to "find secrets", "check for leaked credentials", "scan for API keys", do a pre-commit secret check, or audit a repo before making it public.
pair-agent-harness
Harness two AI agents (typically Claude + OpenAI Codex, or two Claudes, or an agent + human reviewer) into a Reviewer / Implementor pair that collaborate asynchronously through a shared markdown thread. One agent reviews / critiques / asks pointed questions; the other implements / responds / drives the code changes; the file mediates. Use when the user says "pair another agent on this", "harness Codex on this", "review this with Codex", "open a Codex thread", "respond to Codex", "open a peer review", "monitor this review file", names a *-review-thread.md or *-dialogue-thread.md, or wants to coordinate structured async back-and-forth between two AI agents on a code or design question. Seeds the file from a template if missing, appends a numbered Claude response under its own section header, arms a file-mtime monitor so each peer append triggers a fresh read + response, drives the pyramid-principle response shape (position first, justification second), detects consensus markers like "Final ACK" / "No further ob
recall-ai-integration
Meeting-bot vendor integration knowledge — Recall.ai (bot dispatch + webhooks) plus closely-coupled ElevenLabs surfaces (Scribe as Recall's transcription provider, Voice as the TTS swap target). Use when the user asks to touch, extend, debug, or explain anything that calls the Recall.ai or ElevenLabs API or handles their webhooks. Fires on Recall.ai terms (RECALL_API_KEY, in_call_recording, output_audio, send_chat_message, transcript.data, bot.in_call_recording, bot.in_waiting_room, bot.call_ended, bot.fatal, Svix signature, realtime endpoint, sandbox region, us-west-2.recall.ai), ElevenLabs terms (Scribe, Voice, elevenlabs_streaming, elevenlabs_async, scribe_v2, ELEVENLABS_API_KEY, xi-api-key, voice_id, eleven_multilingual_v2), and on any new code that dispatches a bot, pushes audio, sends a chat message, or ends a bot. Enforces docs→fixture→probe→code, tri-site nesting consistency, doc-check date stamps at every call site, spec-faithful webhook fixtures with at least two events, and your repo's standard qua
peer-review
Get a fresh-context review of staged changes, branches, PRs, or file sets. Delegates to a fresh-context reviewer by default; routes to external LLM CLIs (Copilot, Codex, Gemini) when --model specifies one. Use when: user says "peer review" (e.g. "peer review PR 5", "peer review staged", "peer review this branch"), "fresh review", "another set of eyes", "sanity check", "quick review before I push", or routes to an external model ("review with Gemini", "review with Copilot", "review using Codex"). Do NOT trigger on bare "review" phrases (e.g. "review my changes", "review PR N", "review staged") — those route to code-review.
conversation-json-to-md-cn
将聊天导出 JSON 批量转换为多个 Markdown 文件（一会话一文件）。当用户要求拆分 AI 对话记录、仅保留用户与助手问答、将问题作为标题并统一回答区块、导出后再做二次格式化时使用。
paper-search
Find academic papers and read them — searches real scholarly databases for prior work on a topic, then resolves and deep-reads the open-access PDF of any paper you pick. Use this skill WHENEVER the user wants to discover literature or read a study: "find recent papers on X", "what does the research say about Y", "find sources for my thesis on Z", "search for prior work on ...", or "summarise / read / extract the findings from this paper / this arXiv id / this DOI / this PDF". Trigger even when the tool isn't named. Results are real papers from public APIs (OpenAlex, Crossref, arXiv, Semantic Scholar, Europe PMC) and reading reports use only the actual extracted PDF text — nothing is fabricated.
argocd-deployment-runbook-agent
Manages GitOps deployments using ArgoCD API, argocd CLI, and Kustomize overlays. Automates sync operations, rollback procedures, and application health monitoring.
copy.ai-sales-email-sequence-builder
Leverages Copy.ai's Workflows API to generate multi-step cold outreach sequences with persona-specific messaging. Each sequence step is rendered using Copy.ai's email-sequence template type and pushed to HubSpot CRM via the HubSpot Contacts and Emails API.
goose-extensible-ai-coding-agent-by-block
An open-source, extensible AI agent from Block (formerly Square) that goes beyond code suggestions to install packages, execute commands, edit files, and run tests. Supports any LLM and extends via MCP servers for tool integration.
grafana-alert-router
Routes Grafana alerting webhook payloads to Slack, PagerDuty, and OpsGenie channels based on label matching rules. Supports alert grouping and silence management via the Grafana Alerting API.
linear-issue-manager
Linear Issue Manager is built around GraphQL API ecosystem. The underlying ecosystem is represented by graphql/graphql-js (20,335+ GitHub stars). It gives an agent a more technical and reliable way to work with the tool than a thin one-line wrapper, using stable interfaces like queries, mutations, schema introspection, fragments, pagination, subscriptions and preserving the operational context […]
stable-diffusion-comfyui-workflow-runner
Executes ComfyUI workflow JSON files against a local or remote ComfyUI server via its REST API. Supports LoRA loading, ControlNet conditioning, and queue management with progress polling.
typos-source-code-spell-checker
A blazing-fast source code spell checker written in Rust that finds and corrects typos across entire codebases. Designed to run on monorepos with minimal false positives, typos integrates into CI/CD pipelines, pre-commit hooks, and editor workflows.
coding-kotlin
Kotlin: coroutines, data classes, sealed classes, extension functions, Gradle, KMM multiplatform
gads-creative
Image asset wizard. Scrapes the site, drafts grounded prompts, hands them to the user to generate however they like, then uploads PNGs and attaches them to PMax asset groups or Search campaigns. Confirmation gates between every step.
agent-wiki-finish
End a session and write back durable knowledge. Use at the end of every work session. Extracts what's worth keeping, proposes wiki updates, and executes after user approval.
agent-wiki-health
Deep audit of the wiki and repo-vs-wiki gap assessment. Use weekly or when things feel stale. Scans every page, finds contradictions, orphans, dead links, unsourced claims, stale content, repo drift, and suggests improvements.
agent-wiki-ingest
Process a source into the wiki. Use when the user gives you a URL, pasted text, or file path to ingest. Saves to raw/, compiles into wiki pages, cross-links, and flags contradictions. Can enrich with parallel web research when sources mention new topics.
agent-wiki-progress
Mid-session checkpoint. Use when you want to check progress, detect scope drift, capture emerging knowledge, or do a quick wiki health check without ending the session.
agent-wiki-start
Begin an agent-wiki session. Reads the wiki, detects tensions between wiki content and actual state, briefs you, asks socratic questions, and proposes a session plan. Use at the start of every work session.
higgsfield-ugc-prompt
Generate complete, detailed Higgsfield AI Marketing Studio UGC video prompts for product advertising. Use when the user wants to create a UGC video ad prompt for Higgsfield, mentions Higgsfield, wants a marketing video prompt, or provides product/shop reference images and asks for a video prompt. Generates second-by-second prompts with full audio, camera, outfit, and character descriptions in English with Turkish dialogue.
agent-composer
Reads the current work context and plans the optimal agent dispatch. Clarifies direction with 1-2 questions when unclear; infers and proceeds immediately when execution path is unclear. Runs an automatic recording gate after each Wave completes. Triggered by "compose agents", "which agent should I use?", "run in parallel", or "agent-composer".
apex-review
Reviews a technical proposal from the perspective of organizational decision-makers (CTO, technical lead, QA lead, conference reviewers, etc.) and generates an HTML presentation deck. Outputs approval gate results per persona and connects to sim-conductor for improvement suggestions.
asset-placement-gate
Routes a proposed skill, plugin, or agent to its correct home — forge-harness (FH) meta-skill, project-local agent, or drop — by applying a 4-criteria meta-skill bar followed by a project-local value test.
contention-layer
When two skills or agents produce conflicting verdicts on the same output, reads the conflict as a signal rather than an error and harvests new skill candidates. Routes skills born from contention to fh-meta if they are meta-layer, to commons plugin if project-agnostic, or to field harvest if domain-specific. Triggered by "two skills conflict", "they produce different conclusions", "contention-layer", "contention harvest".
context-bridge-dispatch
Injects a session context card into each agent prompt before parallel dispatch, preventing context blindness when agents can only read files but not the live session history.
context-doctor
Reduces token waste in Claude Code sessions. Scans projects to automatically generate .claudeignore files, and guides on over-read files and /clear timing. In hub environments, regularly audits bloated CLAUDE.md/MEMORY.md/memory/*.md files and proposes compression. Usable standalone without a hub clone.
cross-ecosystem-synergy-detection
Automatically discovers useful combinations (synergy pairs) across multiple installed plugins and skills, and presents them as a ranked table. Proactively suggests undiscovered synergies when new projects or skills are registered in the registry. Activates on phrases like "do my installed tools work well together?", "they seem to work in isolation", "find synergies".
deep-clarify
Clarifies ambiguous requests through Socratic dialogue, drawing out goals, completion criteria, and constraints to produce a structured spec document. Pre-dispatch requirement clarification step for agent dispatch. Triggered by "I don't know what to build", "how should I approach this", "organize this for me", "clarify this", "deep-clarify".
deliberation
Multi-perspective synthesis structure — Innovator (propose) → Devil-Advocate (challenge) → Mediator (synthesize) 3-layer execution. Outputs conditional verdicts without binary win/loss. Activates on "deliberation", "battle this out", "weigh the pros and cons", "review from multiple angles", "which side is right?". Optional deep-insight persona jurors for domain-specific views. Designed for design decisions, skill proposals, and architectural choices.
field-harvest
Scans field project git history to find patterns worth promoting to the meta-harness and proposes a PR. Triggered by "save this pattern", "make this reusable across projects", "can we automate this repetition?", "push this to FH", "reverse absorption", or "harvest pattern".
frontier-digest
Collects the latest AI/harness engineering trends from HackerNews and arxiv, then synthesizes them into actionable insights directly relevant to forge-harness operations. Triggered by "AI trends", "latest trends", "this week's AI updates", "what's on the frontier", "harness trends", "frontier-digest".
frontier-status-summary
Maps which assets to use for externally distributed materials (briefings, cards, guides) by audience type. Performs cross-referencing only — does not transform hub asset content.
harness-doctor
Scans a project's harness structure (.claude/ directory, CLAUDE.md, rules, agents) to diagnose complexity, drift, missing files, and broken references, then suggests improvements. Triggered by "harness check", "structure diagnosis", "CLAUDE.md audit".
harvest-loop
A self-evolution pipeline that runs automatically after field sessions end. field-harvest (pattern extraction) → contention-layer (collision signals) → [persona-devil-advocate + persona-innovator parallel] → synthesizer (devil/innovator collision harvest) → Critic isolated Agent (SAGE automated critique) → harness-doctor (health check) → verify-bidirectional (consistency validation) → curator (skill lifecycle management) — 8 steps. Session learnings are automatically absorbed back into the FH ecosystem so the harness evolves on its own. In the main development environment, runs automatically at session end. For external FH users, proposes execution first. Triggered by "session harvest", "learning absorption", "fh evolution", "harvest-loop", or "run the pipeline".
hub-cc-pr-reviewer
Automatically checks baseline consistency when a PR is submitted and generates review comments. Handles diff reading, consistency checks, comment attachment, and merge recommendations. Automates hub gate operations.
install-doctor
Scans the existing environment before and after meta-harness plugin install to diagnose conflicts, duplicates, and silent overwrite risks. Reports potential conflict areas with existing CLAUDE.md, skills, hooks, and audit practices. Activates on "install conflict", "any overlaps?", "is it safe to install?".
install-wizard
Run when setting up a new project for the first time or onboarding after installing FH (first setup, initial configuration, onboarding start, configure project, help me set up). Performs environment detection → gap diagnosis → item-by-item suggestions → user approval → execution → acceleration baseline setup in sequence. Use --dry-run to output diagnosis report only (bg dispatch compatible).
marketplace-gate
Evaluates whether a repository meets marketplace listing criteria via a 5-point check and outputs a listing suitability verdict. Checks README completeness, zero-config readiness, maintenance signals, duplication, and public safety.
meta-prompt-builder
Generates structured prompts to send to each agent in an agent dispatch plan. Triggered by "write the instructions", "what do I say to the agent?", "write the prompt for me", "meta-prompt-builder". Bridges agent-composer (which agents) and prompt content (what to say). Uses Goal/Context/Constraints/Done When structure.
plugin-recommender
Given a task description, searches internal and external open-source ecosystems to find and recommend suitable plugins with installation guidance. Activates on "recommend a plugin", "what tool should I use?", "is there a plugin for this?", "recommend a tool". Also checks for duplicate installations.
pr-review-watcher
Monitors for incoming PR reviews and summarizes their content. Determines approval/change-request/comment verdicts and extracts action items. Triggers on "did the PR review come in?", "when will the review arrive", "PR waiting" utterances.
self-marketing-lint
Detects self-marketing language (version labels, emphasis words, iteration counts, overstatement declarations) in FH skill, agent, and documentation files and outputs replacement suggestions. Detection criteria are defined inline in this skill. Triggered by "check FH files", "remove marketing language", "description diet", "self-marketing-lint".
sim-conductor
Autonomously runs external user reaction simulations, internal audits, ideation scans, artifact validation, and quality reviews. Triggered by "run a simulation", "external user perspective", "internal audit", or "quality check".
source-grounding-audit
Extracts proper nouns, numerical values, and branching conditions from artifacts (TCs, analysis reports, design documents), back-traces them to declared source files, and marks as Phantom (false) if not found in source. If steel-quench attacks output patterns (self-declarations, cushion language), source-grounding-audit attacks input tracing (where did this come from?). Triggered by "phantom detection", "source back-trace", "source audit", "verify source", "TC evidence tracing", "where did this come from", "grounding audit", "source grounding audit", "phantom claim", "false claim detection".
verify-bidirectional
A skill that immediately updates the baseline and reflects it in the next session when the user raises a counter-argument to an AI recommendation. Triggered by "is that right?", "re-examine this", "something seems off here". Explicit /verify-bidirectional call also possible.
agent-composer
Reads the current work context and plans the optimal agent dispatch. Clarifies direction with 1-2 questions when unclear; infers and proceeds immediately when execution path is unclear. Runs an automatic recording gate after each Wave completes. Triggered by "compose agents", "which agent should I use?", "run in parallel", or "agent-composer".
apex-review
Reviews a technical proposal from the perspective of organizational decision-makers (CTO, technical lead, QA lead, conference reviewers, etc.) and generates an HTML presentation deck. Outputs approval gate results per persona and connects to sim-conductor for improvement suggestions.
asset-placement-gate
Routes a proposed skill, plugin, or agent to its correct home — forge-harness (FH) meta-skill, project-local agent, or drop — by applying a 4-criteria meta-skill bar followed by a project-local value test.
contention-layer
When two skills or agents produce conflicting verdicts on the same output, reads the conflict as a signal rather than an error and harvests new skill candidates. Routes skills born from contention to fh-meta if they are meta-layer, to commons plugin if project-agnostic, or to field harvest if domain-specific. Triggered by "two skills conflict", "they produce different conclusions", "contention-layer", "contention harvest".
context-doctor
Reduces token waste in Claude Code sessions. Scans projects to automatically generate .claudeignore files, and guides on over-read files and /clear timing. In hub environments, regularly audits bloated CLAUDE.md/MEMORY.md/memory/*.md files and proposes compression. Usable standalone without a hub clone.
convergence-loop
A universal gate-reinforcement meta-skill that replaces the "single-pass = done" pattern with a converging loop of up to N rounds. Can be applied to any gate, checkpoint, or verification step. Only declares "truly passed" after FAIL→FIX→re-verify repeats until convergence (all items pass). Escalates to structural redesign if not converged within N rounds. Triggers on: "convergence-loop", "how many rounds do we need", "suspicious of single-pass", "not sure if it really passed", or equivalent phrasing.
cross-ecosystem-synergy-detection
Automatically discovers useful combinations (synergy pairs) across multiple installed plugins and skills, and presents them as a ranked table. Proactively suggests undiscovered synergies when new projects or skills are registered in the registry. Activates on phrases like "do my installed tools work well together?", "they seem to work in isolation", "find synergies".
deep-clarify
Clarifies ambiguous requests through Socratic dialogue, drawing out goals, completion criteria, and constraints to produce a structured spec document. Pre-dispatch requirement clarification step for agent dispatch. Triggered by "I don't know what to build", "how should I approach this", "organize this for me", "clarify this", "deep-clarify".
deliberation
Multi-perspective synthesis structure — Innovator (propose) → Devil-Advocate (challenge) → Mediator (synthesize) 3-layer execution. Outputs conditional verdicts without binary win/loss. Activates on "deliberation", "battle this out", "weigh the pros and cons", "review from multiple angles", "which side is right?". Optional deep-insight persona jurors for domain-specific views. Designed for design decisions, skill proposals, and architectural choices.
edit-manifest
Implements a predict-verify loop for harness edits. Every SKILL.md, rules/*.md, or CLAUDE.md change is paired with a predicted impact stored in a manifest. The next session verifies predictions against actual outcomes, and a validation gate accepts edits only when improvement is measurable. Runs automatically on harvest-loop Step 0-c and on explicit invocation.
field-harvest
Scans git history of field projects to detect patterns worth backporting to the meta-harness (Mode A), and logs session work to the knowledge hub when a session ends (Mode B). Triggers on "save this pattern", "make this reusable across projects", "can we automate this repetition?", "push this to FH", "reverse absorption", "harvest pattern", "session log", "log today's work", "sync to hub".
frontier-digest
Collects the latest AI/harness engineering trends from HackerNews and arxiv, then synthesizes them into actionable insights directly relevant to forge-harness operations. Triggered by "AI trends", "latest trends", "this week's AI updates", "what's on the frontier", "harness trends", "frontier-digest".
frontier-status-summary
Maps which assets to use for externally distributed materials (briefings, cards, guides) by audience type. Performs cross-referencing only — does not transform hub asset content.
goal-quench
Wraps /goal with a tiered safety + orchestration ladder. core (default): a token budget gate (pre-run estimate), mid-run budget thresholds, and an automatic post-run quality verification via pipeline-conductor — closing /goal's two gaps (Haiku evaluates completion, pipeline-conductor evaluates correctness). pro: adds context-doctor token reduction and agent-composer goal decomposition. max: adds plugin-recommender capability-gap fill and cross-ecosystem-synergy-detection pre-validation. The Phase-1 budget verdict auto-recommends the mode. Triggered by "goal with quality gate", "safe goal", "goal-quench", "orchestrate this goal", or before running /goal on high-stakes tasks.
harness-doctor
Scans a project's harness structure (.claude/ directory, CLAUDE.md, rules, agents) to diagnose complexity, drift, missing files, and broken references, then suggests improvements. `--lint` flag adds language-pattern scan (self-marketing, cushion words, version brags). Triggered by "harness check", "structure diagnosis", "CLAUDE.md audit".
harvest-loop
A self-evolution pipeline that runs automatically after field sessions end. field-harvest (pattern extraction) → contention-layer (collision signals) → [Agent(subagent_type="challenger") + persona-innovator parallel] → synthesizer (challenger/innovator collision harvest) → Critic isolated Agent (SAGE automated critique) → harness-doctor (health check) → verify-bidirectional (consistency validation) → curator (skill lifecycle management) — 8 steps. Session learnings are automatically absorbed back into the FH ecosystem so the harness evolves on its own. In the main development environment, runs automatically at session end. For external FH users, proposes execution first. Triggered by "session harvest", "learning absorption", "fh evolution", or "harvest-loop". (The phrase "run the pipeline" is ceded to pipeline-conductor to avoid a trigger collision — for end-to-end verification sweeps use pipeline-conductor.)
hub-cc-pr-reviewer
Checks a submitted PR against the environment's baseline assets (CLAUDE.md, memory, naming, asset classification) and attaches a review comment with a merge recommendation. 5 steps — diff read, 8-area consistency check, self-catch, comment, merge recommendation.
install-doctor
Scans the existing environment before and after meta-harness plugin install to diagnose conflicts, duplicates, and silent overwrite risks. Reports potential conflict areas with existing CLAUDE.md, skills, hooks, and audit practices. Activates on "install conflict", "any overlaps?", "is it safe to install?".
install-wizard
Run when setting up a new project for the first time or onboarding after installing FH (first setup, initial configuration, onboarding start, configure project, help me set up). Performs environment detection → gap diagnosis → item-by-item suggestions → user approval → execution → acceleration baseline setup in sequence. Use --dry-run to output diagnosis report only (bg dispatch compatible).
marketplace-gate
Evaluates whether a repository meets marketplace listing criteria via a 5-point check and outputs a listing suitability verdict. Checks README completeness, zero-config readiness, maintenance signals, duplication, and public safety.
mcp-circuit-breaker
Detects MCP tool failure patterns and trips a circuit breaker to stop cascading retries. Proposes fallback alternatives and resets when the tool recovers. Triggers on "MCP failing", "tool keeps erroring", "circuit-breaker", repeated tool call failures.
memory-hygiene
Detects "stale-but-confident" memory entries — facts that were once verified but have silently drifted. Scans memory/*.md for entries past their staleness threshold and proposes re-verification or archival. Runs automatically as part of harvest-loop Step 0-c and on explicit invocation.
meta-prompt-builder
Generates structured prompts to send to each agent in an agent dispatch plan. Triggered by "write the instructions", "what do I say to the agent?", "write the prompt for me", "meta-prompt-builder". Bridges agent-composer (which agents) and prompt content (what to say). Uses Goal/Context/Constraints/Done When structure.
phantom-quench
The grounding member of the quench series — extracts proper nouns, numerical values, and branching conditions from artifacts (TCs, analysis reports, design documents), back-traces them to declared source files, and marks anything not found as a Phantom Claim (ungrounded — present in the artifact but not traceable to a declared source; not a claim that it is necessarily false). If steel-quench attacks output patterns (self-declarations, cushion language), phantom-quench attacks input tracing (where did this come from?). Renamed from source-grounding-audit (2026-06-06, quench-series); `/source-grounding-audit` still resolves as an alias. Triggered by "phantom detection", "phantom-quench", "phantom claim", "hallucinated claim detection", "source back-trace", "source audit", "verify source", "TC evidence tracing", "where did this come from", "grounding audit", "source grounding audit", "false claim detection".
pipeline-conductor
Chains the four core FH verification pipelines (harvest-loop → steel-quench → phantom-quench → sim-conductor) into a single gated sweep. Accepts a scope (single skill, specific asset, full harness) and aggregates results into one structured report. Supports --quick mode (steps 2+3 only) and --full mode (all four steps). Triggered by "run the full pipeline", "chain all verifications", "end-to-end sweep", "pipeline-conductor", or "verify everything".
plugin-recommender
Given a task description, searches internal and external open-source ecosystems (including Codex marketplace and Claude Code marketplace) to find and recommend suitable plugins with installation guidance. Recommendation is quality-validation based (marketplace-listed + performance-validated), not source-origin based. Activates on "recommend a plugin", "what tool should I use?", "is there a plugin for this?", "recommend a tool". Also checks for duplicate installations.
pr-review-watcher
Monitors for incoming PR reviews and summarizes their content. Determines approval/change-request/comment verdicts and extracts action items. Triggers on "did the PR review come in?", "when will the review arrive", "PR waiting" utterances.
prompt-regression
Detects harness regressions by running standard prompt probes after rule/skill changes and comparing outputs against saved baselines. Triggers on "prompt regression", "did my changes break anything", "regression check", "test harness changes".
public-surface-audit
Scans git-tracked (public) files for operator-private tokens that should live only in gitignored files — real usernames, absolute home paths, companion-store names, company asset names. Reports file:line + matched token + severity, so a public/private split stays clean before publish. Triggered by "public surface audit", "did I leak anything", "check tracked files for private tokens", "private token scan", "public-surface-audit".
return-path-gate
Audits SKILL.md files in plugins/ for return-path gate compliance. Detects fire-and-forget chains where a caller dispatches a downstream skill but does not gate its next step on the callee's verdict. Reports each chain as CLOSED or OPEN and outputs specific fix suggestions. Triggered by "chain audit", "return-path check", "fire-and-forget detection", "chain closure audit", "skill chain compliance".
self-marketing-lint
DEPRECATED — merged into harness-doctor --lint mode (2026-06-02). Language pattern detection (self-marketing, cushion words, version labels) is now Step 3-L of harness-doctor. Use /harness-doctor --lint instead.
sim-conductor
Autonomously runs external user reaction simulations, internal audits, ideation scans, artifact validation, and quality reviews. Profiles the target artifact first, then derives task-appropriate personas, dispatches them as parallel agents, classifies findings into M/S/R tiers, and completes the pipeline through to commit automatically.
skill-splitter
Splits an over-loaded SKILL.md into always-loaded (SKILL.md) + on-demand (SKILL_detail.md) layers using a governance-semantic criterion — not length, but when the content is needed. Connects the two files with imperative pointers. Based on paper §9.5 Protocol-Priority Split pattern. Diagnoses, classifies, splits, and verifies in one pass.
steel-quench
A meta-skill that concretizes a designer's anxiety into AI-driven all-angle challenger attacks (via fh-commons:quench-challenger) and shakes off flaws through defensive rounds. Systematically surfaces root weaknesses of near-complete projects wave by wave, guaranteeing near-human-review quality without direct human deep inspection. Wave 4 (Meta-Aware Adversary) is an advanced mode where the challenger uses its own AI nature — hallucination, context collapse, prompt injection, tool lock-in — as attack vectors. Wave-P3 (gate-passage re-attack) re-attacks an artifact on Coverage/Narrative/False-confidence right after an upstream gate declares PASS. Built-in fh-commons:quench-challenger agent outputs harness structure 6-axis attack+prescription pairs; after convergence, fh-meta:persona-innovator auto-extracts new patterns. Triggered by: "quench this", "devil's judgment", "all-angle review", "end-to-end verification", "steel quench", "deep pre-completion inspection", "shake out design anxiety", "attack from the ro
token-budget-gate
Estimates token cost before a multi-step task and outputs a Green/Yellow/Red gate verdict. Tracks actual vs. estimated after completion for calibration. Triggers on "token budget", "how much will this cost", "will this be expensive", "estimate tokens", before long multi-agent tasks.
verify-bidirectional
A skill that immediately updates the baseline and reflects it in the next session when the user raises a counter-argument to an AI recommendation. Triggered by "is that right?", "re-examine this", "something seems off here". Explicit /verify-bidirectional call also possible.
repo-performance-guard
Enforce performance-safe query and rendering patterns across this Nx monorepo. Use when working on Vite freezes, Supabase overfetching, pagination, caching, CPU hotspots, memory pressure, or large seeded datasets.
codex-supervision
Use when the user wants Claude to delegate work to the local Codex CLI — code review, adversarial review, or substantive rescue tasks — and then independently verify what Codex did. Works in Claude Desktop (no plugin system required); wraps codex exec as PowerShell scripts and keeps run artifacts on disk.
kimi-supervision
Use when the user wants Codex to delegate work to local Kimi Code, supervise its progress, inspect intermediate/native artifacts, continue a native Kimi session, and verify Kimi's results instead of trusting only the flattened final output.
minicode_contributing
Guide for contributing to the minicode-sdk project. Use this skill when the user wants to contribute code, fix bugs, add features, or improve documentation for the minicode-sdk project.
minicode_usage
Guide for using the minicode-sdk library. Use this skill when the user wants to learn how to use minicode-sdk to build AI agents, integrate tools, use MCP servers, or configure the SDK.
jina-cli
Reads web content and searches the web using Jina AI Reader API. Use when extracting content from URLs, reading social media posts (X/Twitter), or web searching for current information.
research-topic
Multi-step research orchestration. Use when user asks "research X", "summarize current state of Y", "what's the latest on Z", or compares approaches. Calls extract(action="agent") which searches the web, extracts top results, then synthesises a citation-preserving Markdown answer with one configured LLM.
agent-skill-visualizer
Claude Code 프로젝트의 에이전트와 스킬 관계를 D3.js 노드 그래프로 시각화합니다. 에이전트-스킬 의존성을 파악하고 구조를 탐색할 때 사용하세요.
010102-install-toolchain
Installs and configures JavaScript toolchain — npm, pnpm, bun, Node.js version managers, and PATH setup for new development environments.
010103-package-operations
Day-to-day package management for npm, pnpm, and bun — install, update, audit, publish, dependency inspection, and version conflict resolution.
010105-frontend-coding
React best practices, hydration pattern, web accessibility (ARIA, keyboard nav), and frontend performance (N+1 queries, lazy loading).
010106-backend-architecture
Backend architecture — typed errors, structured API responses, domain modules, service/repository layering, env sanitization, and FK protection.
010107-code-quality
Testing practices (vitest, TDD, coverage), security rules (secrets, XSS, injection, CORS), and seed data patterns (anonymization, multi-language).
010108-version-control
Conventional commit format, git staging safety, disaster recovery with git reflog, and commit message best practices.
010109-release-automation
Semantic version mapping, semantic-release automation, post-release workflow, and release configuration for conventional commits.
010111-http-caching
Three-tier caching — browser, runtime, and distributed cache. Pipeline batching, atomic transactions, invalidation, and multi-language cache keys.
010112-typescript-rules
TypeScript strict mode, generics, mapped types, conditional types, Zod validation, migration strategy, and anti-patterns.
010114-stripe-integration
Stripe payment integration — Checkout Sessions, PaymentIntents, Connect, billing, Treasury, and migration from deprecated APIs.
010115-supabase-platform
Supabase platform — Row Level Security, Edge Functions, Realtime patterns, Storage signed URLs, PostgreSQL schema design, and anti-patterns.
010116-i18n-patterns
Internationalization — translation tables, RTL support, safe translations, LangProvider, locale detection, SEO hreflang, and language config.
010117-drizzle-orm-patterns
Drizzle ORM schema patterns — domain factories, prd_/sys_/tst_ prefixes, FK constraints, vector+HNSW, JSONB+GIN, raw SQL, and the as any bridge.
010118-repository-factories
Domain repository factory — functions accepting Drizzle tables to create reusable CRUD for test (tst_) and production (prd_/sys_) tables.
010119-integration-test-setup
Backend API test patterns — describeIf guards, getAuthHeaders, test-% cleanup, req() helper, KV isolation, sub-resource tests, and permissions matrix.
010122-multi-currency-architecture
Multi-currency architecture — price-per-currency with FK chain to countries and taxes, geo detection via edge headers, admin CRUD.
010123-multi-language-translations
Multi-language translations — per-entity translation tables, assembler pattern (fetch all, filter in-memory), cache invalidation, and slug per locale.
030101-lancedb-search
LanceDB vector search fundamentals — distance metrics, ANN indexing, embeddings, similarity search patterns, and performance tuning.
030102-lancedb-index
LanceDB vector index types (IVF, HNSW, PQ, RQ), quantization techniques, reindexing strategies, and performance tuning.
030103-lancedb-fulltext
LanceDB full-text search — BM25 indexing, FTS querying, fuzzy search, phrase queries, field boosting, and boolean search.
030104-lancedb-hybrid
LanceDB hybrid search (vector + FTS with RRF), multivector search (ColBERT late interaction), and metadata filtering patterns.
030201-pgvector-embeddings
Vector search with pgvector — embedding generation (OpenAI or hash), HNSW indexing, cosine similarity search, and enriched product JOIN queries.
040101-docker-deploy
Docker deployment patterns for web applications — multi-stage builds, environment management, CI/CD integration, and self-hosting strategies.
050101-elysia-framework
Elysia API framework patterns — plugin pipeline, controller conventions, auto-routing, auth macro, TypeBox models, and multi-tier API keys.
050105-agent-discovery
Agent and service discovery via well-known URIs: Agent Skills Discovery, MCP Server Cards, progressive disclosure, integrity verification.
050106-elysia-cache-tags
Tag-based cache invalidation for Elysia — 3-level tags (entity/domain/cross) via Redis Sets, cache-aside, invalidation chains, and signed URL caching.
050107-shadcn-showcase
Building component showcase pages with shadcn/ui — variant cards, data tables with TanStack, and charts with Recharts.
060102-zero-trust
Zero Trust authentication pattern — validate identity once at entry, propagate via userRole, never trust client-provided role data.
060104-better-auth-rbac
Role-based access control with Better Auth — permission statements, createAccessControl, authorize() checks, dual auth, and frontend permission sync.
070101-prisma-database
Prisma 7 setup with PostgreSQL driver adapters and Better Auth schema models (User, Session, Account, Verification).
080101-design-foundations
Design foundations: color theory, token hierarchy, brand vs product registers, OKLCH, color strategies, absolute bans, and slop test.
080102-design-typography
Typography and layout: font selection, modular type scales, spacing systems, grid theory, and visual hierarchy for brand and product UI.
080104-motion-animation
Motion design and animation: timing, easing, spring physics, micro-interactions, reduced motion, and performance for frontend interfaces.
ideate
Take a fuzzy idea (or an existing thing you want to improve) through a disciplined funnel — explore → pressure-test → converge — and produce one living CONCEPT_BRIEF.md: a locked concept + phased roadmap. Acts as a blunt, honest co-founder (permission to overrule you), forces a success metric and a kill criterion before any roadmap, and hands off cleanly to the prompt-pack skill for building. ALWAYS invoke when the user says any of "help me figure out what to build", "I have an idea for…", "is this idea any good", "pressure- test this idea", "should I build / should I rebuild X", "evaluate my app / idea", "where are we really at", "is this idea or app worth pursuing", "iron out / scope / spec this concept", or "turn my idea into a plan/roadmap". Also invoke proactively when someone is reasoning about WHAT to build or WHETHER an idea is worth it — before any code or prompt pack exists.
prompt-pack
Author and execute "prompt packs" — a big job broken into a sequence of self-contained, independently-shippable prompts, each run in its own fresh chat so a single change never dies to a context/token limit. Also writes paste-ready handoff briefings to resume a dying chat or relay work to another tool (e.g. Codex). ALWAYS invoke when the user says any of "make a prompt pack", "turn this into prompts", "break this into phases", "prompts I can run in separate chats", "I'm running out of tokens/context", "write me a handoff", "a prompt I can paste into a new chat", "this is too big for one chat", "build plan I can hand off", or "execute Pxx / phase X from the pack". Also invoke proactively when a requested change is too large or too risky to finish safely in one session and should be decomposed into ordered, verifiable steps.
test-acp-runtime
Spawn the ACP-variant runtimes (claude-code-acp / codex-acp / copilot-acp). claude-code-acp validated; it surfaces real tool failures that native claude-code can't. Run with /test-acp-runtime. Pairs with /launch-grackle.
test-codex-runtime
Spawn the `codex` runtime against a test server. Use model `gpt-5.5` (requires Codex SDK >= 0.135.0). Run with /test-codex-runtime. Pairs with /launch-grackle.
academic-cv-builder
Format CVs for academic positions with publications, grants, and teaching
ai-slop-detector
Universal prose audit. Scores writing on TWO axes — AI-Slop (does this read like AI wrote it?) and Comprehension (can a fresh reader follow this?). Use whenever the user wants to audit, critique, score, or fix prose. Triggers on "audit this", "review this", "is this AI", "is this readable", "does this sound like AI", "humanize this", "make this less AI", "AI slop check", "score this", "detect AI writing", "slop check", "de-slop this", "is this readable", "would a fresh reader follow this", "comprehension check". Also use as a final pre-delivery pass inside other writing skills (cold-email, copywriting, sales-enablement, ad-creative, email-sequence, mahmouds-seo-writer, mahmouds-reddit-strategist, mahmouds-writing-voice). Catches 45 AI-slop patterns + ~150 vocab tells + ~33 formatting tells + 35 comprehension patterns + 8 readability metrics, with density-based scoring on both axes, audience calibration, model fingerprinting, and dual-verdict output.
career-changer-translator
Translate skills from one industry to another, identify transferable skills
context-mode
Use context-mode tools (ctx_execute, ctx_execute_file) instead of Bash/cat when processing large outputs. Triggers: "analyze logs", "summarize output", "process data", "parse JSON", "filter results", "extract errors", "check build output", "analyze dependencies", "process API response", "large file analysis", "page snapshot", "browser snapshot", "DOM structure", "inspect page", "accessibility tree", "Playwright snapshot", "run tests", "test output", "coverage report", "git log", "recent commits", "diff between branches", "list containers", "pod status", "disk usage", "fetch docs", "API reference", "index documentation", "call API", "check response", "query results", "find TODOs", "count lines", "codebase statistics", "security audit", "outdated packages", "dependency tree", "cloud resources", "CI/CD output". Also triggers on ANY MCP tool output that may exceed 20 lines. Subagent routing is handled automatically via PreToolUse hook.
context-mode-ops
Manage context-mode GitHub issues, PRs, releases, and marketing with parallel subagent army. Orchestrates 10-20 dynamic agents per task. Use when triaging issues, reviewing PRs, releasing versions, writing LinkedIn posts, announcing releases, fixing bugs, merging contributions, validating ENV vars, testing adapters, or syncing branches.
cover-letter-generator
Create personalized, compelling cover letters from resume and job description
creative-portfolio-resume
Balance visual design with ATS compatibility for creative roles
hydra
Multi-perspective code review council: advisors analyze, reviewers cross-examine, chairman synthesizes verdict. USE for: architecture decisions, security audits, tradeoff analysis, "what am I missing" questions, pre-merge deep reviews, iterative re-reviews after fixes. DO NOT USE for: simple code generation, syntax fixes, single-file refactors, or factual lookups. TRIGGERS: 'hydra', 'hydra this', 'hydra review', 'run hydra', 'hydra deep', 'Hydra starten', 'hydra iterate', 'hydra re-review', 'hydra follow-up', 'hydra history', 'hydra pr', 'hydra branch', 'hydra ?', 'hydra auto', 'fix #', 'verify', 'hydra explain', 'hydra details', 'hydra tensions', 'hydra blind-spots'.
academic-cv-builder
Format CVs for academic positions with publications, grants, and teaching
ai-slop-detector
Universal prose audit. Scores writing on TWO axes — AI-Slop (does this read like AI wrote it?) and Comprehension (can a fresh reader follow this?). Use whenever the user wants to audit, critique, score, or fix prose. Triggers on "audit this", "review this", "is this AI", "is this readable", "does this sound like AI", "humanize this", "make this less AI", "AI slop check", "score this", "detect AI writing", "slop check", "de-slop this", "is this readable", "would a fresh reader follow this", "comprehension check". Also use as a final pre-delivery pass inside other writing skills (cold-email, copywriting, sales-enablement, ad-creative, email-sequence, mahmouds-seo-writer, mahmouds-reddit-strategist, mahmouds-writing-voice). Catches 45 AI-slop patterns + ~150 vocab tells + ~33 formatting tells + 35 comprehension patterns + 8 readability metrics, with density-based scoring on both axes, audience calibration, model fingerprinting, and dual-verdict output.
career-changer-translator
Translate skills from one industry to another, identify transferable skills
context-mode
Use context-mode tools (ctx_execute, ctx_execute_file) instead of Bash/cat when processing large outputs. Triggers: "analyze logs", "summarize output", "process data", "parse JSON", "filter results", "extract errors", "check build output", "analyze dependencies", "process API response", "large file analysis", "page snapshot", "browser snapshot", "DOM structure", "inspect page", "accessibility tree", "Playwright snapshot", "run tests", "test output", "coverage report", "git log", "recent commits", "diff between branches", "list containers", "pod status", "disk usage", "fetch docs", "API reference", "index documentation", "call API", "check response", "query results", "find TODOs", "count lines", "codebase statistics", "security audit", "outdated packages", "dependency tree", "cloud resources", "CI/CD output". Also triggers on ANY MCP tool output that may exceed 20 lines. Subagent routing is handled automatically via PreToolUse hook.
context-mode-ops
Manage context-mode GitHub issues, PRs, releases, and marketing with parallel subagent army. Orchestrates 10-20 dynamic agents per task. Use when triaging issues, reviewing PRs, releasing versions, writing LinkedIn posts, announcing releases, fixing bugs, merging contributions, validating ENV vars, testing adapters, or syncing branches.
cover-letter-generator
Create personalized, compelling cover letters from resume and job description
creative-portfolio-resume
Balance visual design with ATS compatibility for creative roles
hydra
Multi-perspective code review council: advisors analyze, reviewers cross-examine, chairman synthesizes verdict. USE for: architecture decisions, security audits, tradeoff analysis, "what am I missing" questions, pre-merge deep reviews, iterative re-reviews after fixes. DO NOT USE for: simple code generation, syntax fixes, single-file refactors, or factual lookups. TRIGGERS: 'hydra', 'hydra this', 'hydra review', 'run hydra', 'hydra deep', 'Hydra starten', 'hydra iterate', 'hydra re-review', 'hydra follow-up', 'hydra history', 'hydra pr', 'hydra branch', 'hydra ?', 'hydra auto', 'fix #', 'verify', 'hydra explain', 'hydra details', 'hydra tensions', 'hydra blind-spots'.
academic-cv-builder
Format CVs for academic positions with publications, grants, and teaching
ai-slop-detector
Universal prose audit. Scores writing on TWO axes — AI-Slop (does this read like AI wrote it?) and Comprehension (can a fresh reader follow this?). Use whenever the user wants to audit, critique, score, or fix prose. Triggers on "audit this", "review this", "is this AI", "is this readable", "does this sound like AI", "humanize this", "make this less AI", "AI slop check", "score this", "detect AI writing", "slop check", "de-slop this", "is this readable", "would a fresh reader follow this", "comprehension check". Also use as a final pre-delivery pass inside other writing skills (cold-email, copywriting, sales-enablement, ad-creative, email-sequence, mahmouds-seo-writer, mahmouds-reddit-strategist, mahmouds-writing-voice). Catches 45 AI-slop patterns + ~150 vocab tells + ~33 formatting tells + 35 comprehension patterns + 8 readability metrics, with density-based scoring on both axes, audience calibration, model fingerprinting, and dual-verdict output.
career-changer-translator
Translate skills from one industry to another, identify transferable skills
context-mode
Use context-mode tools (ctx_execute, ctx_execute_file) instead of Bash/cat when processing large outputs. Triggers: "analyze logs", "summarize output", "process data", "parse JSON", "filter results", "extract errors", "check build output", "analyze dependencies", "process API response", "large file analysis", "page snapshot", "browser snapshot", "DOM structure", "inspect page", "accessibility tree", "Playwright snapshot", "run tests", "test output", "coverage report", "git log", "recent commits", "diff between branches", "list containers", "pod status", "disk usage", "fetch docs", "API reference", "index documentation", "call API", "check response", "query results", "find TODOs", "count lines", "codebase statistics", "security audit", "outdated packages", "dependency tree", "cloud resources", "CI/CD output". Also triggers on ANY MCP tool output that may exceed 20 lines. Subagent routing is handled automatically via PreToolUse hook.
context-mode-ops
Manage context-mode GitHub issues, PRs, releases, and marketing with parallel subagent army. Orchestrates 10-20 dynamic agents per task. Use when triaging issues, reviewing PRs, releasing versions, writing LinkedIn posts, announcing releases, fixing bugs, merging contributions, validating ENV vars, testing adapters, or syncing branches.
cover-letter-generator
Create personalized, compelling cover letters from resume and job description
creative-portfolio-resume
Balance visual design with ATS compatibility for creative roles
hydra
Multi-perspective code review council: advisors analyze, reviewers cross-examine, chairman synthesizes verdict. USE for: architecture decisions, security audits, tradeoff analysis, "what am I missing" questions, pre-merge deep reviews, iterative re-reviews after fixes. DO NOT USE for: simple code generation, syntax fixes, single-file refactors, or factual lookups. TRIGGERS: 'hydra', 'hydra this', 'hydra review', 'run hydra', 'hydra deep', 'Hydra starten', 'hydra iterate', 'hydra re-review', 'hydra follow-up', 'hydra history', 'hydra pr', 'hydra branch', 'hydra ?', 'hydra auto', 'fix #', 'verify', 'hydra explain', 'hydra details', 'hydra tensions', 'hydra blind-spots'.
awesome-packs-index
Read-only index of community Claude Code packs (commands / skills / agents / plugins / MCPs) curated from awesome-claude-code and related public sources. Produces a cross-referenceable pack-catalog with license + trust tier + capability-fit against Ulak OS gaps. Use during pack-gap audits, when onboarding a new plugin, or when answering "does someone else already solve this?". Does NOT install anything; read-only reference for operator decisions.
fourteen-dimension-audit
Run a 14-dimension audit scorecard on any repo (Architecture, Testing, Secrets, Observability, CI/CD, Duplication, Dependencies, Type Safety, Plugins, API Design, Infrastructure, Frontend, Data Validation, Documentation). Produces per-dimension 0-100 scores, target state, gap analysis, and A-F grade. Use for project baselines, post-modernization verification, or quarterly health reports.
god-module-decomposition
Extract and decompose a "god module" (single file >1000 LOC with 5+ unrelated responsibilities) using the Strangler Fig protocol. Produces new modules in target package, a thin re-export shim of the original, per-step atomic commits, and updated imports across the codebase. Use for monolithic files blocking modernization.
mcp-governance-auto
Auto-maintain the Ulak OS MCP allowlist. Reads `docs/governance/mcp-governance.md` + `.mcp.json` + `settings.local.json`, detects drift (newly added MCPs in settings that aren't governance-approved; approved MCPs not present; stale entries past rotation cadence), writes a reconciliation report, and proposes a PR-ready diff. Operator-gated (never auto-applies). Use during /ulak-director komple Phase 2 evidence pass, quarterly governance review, or when adding a new MCP needs a paper trail.
multi-agent-orchestration
Orchestrate N specialist agents across a multi-sprint backlog using the merge-sequence protocol (infrastructure → backend → frontend → tests). Produces sprint assignments, dependency graph, file-ownership matrix, merge sequence, daily standup template. Use when planning a Waves-pattern execution involving 4+ agents.
react-doctor
React/Next.js anti-pattern denetimi — state management, effects, re-render performansı, mimari sınırlar, client-side security ve accessibility eksikleri için yapılandırılmış audit. Mevcut bir React/Next.js yüzeyinde kod yazmadan ÖNCE veya /ulak-frontend war room'u sırasında "neyi yanlış yapıyoruz" sorusunu somut kontratlarla cevaplar. typescript-nextjs rule-pack'i frontend kalite-barında genişletir.
saas-scaffolder
Materialize a full-stack SaaS project skeleton with Ulak OS governance pre-wired (Next.js + TypeScript + Supabase + optional payment + i18n + RLS + CI + tests + Traefik deploy). Generates a shippable starter that embeds 23 sector packs + 8 rule packs + 79 anti-patterns from commit 1. Use when starting a new SaaS product OR when /ulak-scaffold command dispatches.
skill-plugin-ecosystem-watchlist
Read-only watchlist for external skill/plugin ecosystems that may inform Ulak OS capabilities. Use when evaluating new skill/plugin candidates from the inbox list, planning marketplace compatibility, or checking whether an external pack should be studied before building native Ulak OS functionality. Does not install third-party code.
co-scientist-dashboard
Resolve dashboard links for one Co-Scientist run from Codex.
co-scientist-doctor
Diagnose the local Co-Scientist host-agent environment from Codex.
co-scientist-params
Show the supported Co-Scientist start parameters for Codex users.
co-scientist-validate
Validate one Co-Scientist run directory from Codex.
dashboard-snapshot
Assemble a dashboard-ready snapshot from the canonical state.
hypothesis-placement-tournament
Judge one placement-tournament matchup between a candidate hypothesis and one opponent.
hypothesis-ranked-tournament
Judge one ranked-tournament matchup between two top frontier hypotheses.
run-policy-router
Interpret the user's high-level research intent into `RUN_POLICY.yaml` and `state/POLICY_DECISION.json`.
imersao-primeiros-passos
Guia o aluno da Imersão IA da ParisGroup logo depois de instalar o ambiente. Use quando a pessoa disser 'instalei e agora', 'por onde começo', 'primeiros passos', 'como começo', 'estou perdido', 'o que faço agora', 'terminei o setup', 'comecei a imersão', 'me ajuda a começar', 'first steps', 'where do I start', 'I just installed'. Faz um tour guiado do dia 1: confere o ambiente, login, como as skills funcionam e um primeiro exercício prático.
preset-cortex-agents
Use Snowflake Cortex Agent REST and SQL APIs for listing, describing, creating, updating, deleting, running agents, streaming responses, and SQL wrappers. Use only for direct API workflows; Do not use for MCP-only work.
preset-dashboards
Inspect Preset workspace dashboards, charts, dashboard composition, screenshots, thumbnails, chart data, and chart/dashboard operation routing through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.
preset-database-connections
Inspect or route Preset database connection configuration, validation, OAuth, upload, create, update, and delete workflows through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.
preset-destructive-imports
Review destructive, overwrite-capable, sparse-update, all-assets restore, database import, and secret-bearing Preset import workflows through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.
preset-embedded-rls
Review embedded analytics row-level security clauses, tenant filters, guest-token RLS rules, and external-viewer isolation for direct API workflows. Use only for direct API workflows; Do not use for MCP-only work.
preset-embedding
Inspect embedded dashboard configuration, trusted domains, origins, guest-token routing, and embedded RLS routing through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.
preset-guest-tokens
Prepare and create Preset embedded dashboard guest tokens, external-user claims, resource claims, RLS claims, and token-handling plans through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.
preset-import-export
Inspect and route direct Superset import/export workflows for dashboards, charts, datasets, databases, saved queries, themes, and asset bundles. Use only for direct API workflows; Do not use for MCP-only work.
preset-mcp-dashboard
Use Superset MCP tools for dashboard inspection, dashboard creation, and adding charts to dashboards. Use only for MCP tool workflows; do not use for direct API work.
preset-mcp-data
Use Superset MCP data-returning tools for chart data, chart previews, rendered chart SQL, and dataset query results. Use only for MCP tool workflows; do not use for direct API work.
preset-mcp-datasets
Use Superset MCP tools for dataset inspection, semantic-layer querying, and virtual dataset creation. Use only for MCP tool workflows; do not use for direct API work.
preset-mcp-discovery
Use Superset MCP health, instance, list, detail, schema, and chart-type discovery tools. Use only for MCP tool workflows; do not use for direct API work.
preset-mcp-troubleshooting
Troubleshoot Superset MCP health, validation, permission, response-size, and bug-report workflows. Use only for MCP tool workflows; do not use for direct API work.
preset-roles-permissions
Review Preset role, workspace membership, permission, access-control, DAR/RLS-adjacent, and effective-access changes through direct API calls. Use only for direct API workflows; Do not use for MCP-only work.
preset-snowflake-cortex
Prepare Snowflake Cortex direct API access: account URL, auth method, role, warehouse, database/schema context, privileges, and Cortex Agent routing. Use only for direct API workflows; Do not use for MCP-only work.
preset-sql-execution
Run or route SQL Lab execution, result retrieval, exports, query stop, saved-query mutation, and permalink workflows through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.
preset-sqllab
Inspect Preset SQL Lab bootstrap, query history, saved queries, result/export routing, query control, and SQL execution routing through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.
preset-superset
Discover and validate direct Superset workspace API capabilities: version, OpenAPI, current user, permissions, menu, and API safety. Use only for direct API workflows; Do not use for MCP-only work.
preset-workspaces
Discover Preset teams and workspaces through direct Management API calls, including workspace lookup, hostnames, health/status, and read-only memberships. Use only for direct API workflows; Do not use for MCP-only work.
gerar-adr-pt-br
Cria um Architecture Decision Record (ADR) em português brasileiro seguindo o template do ROLDAO-METHOD. Use sempre que tomar decisão arquitetural não-trivial (escolha de stack, biblioteca, integração com sistema externo, padrão arquitetural).
validar-cep
Valida CEP brasileiro (formato + consulta opcional ao ViaCEP) e normaliza para 8 digitos. Use ao receber CEP de formulario, importacao ou integracao.
validar-cnh
Valida CNH (Carteira Nacional de Habilitacao) brasileira — 11 digitos com 2 DVs por algoritmo Detran. Use ao receber CNH em cadastro de motorista, frota, locacao, seguro auto, app de mobilidade ou KYC alternativo. Nao valida categoria nem validade — apenas estrutura matematica do numero.
validar-renavam
Valida RENAVAM (Registro Nacional de Veiculos Automotores) — 11 digitos com 1 DV por modulo 11, algoritmo Denatran. Use ao receber RENAVAM em cadastro de veiculo, transferencia, seguro auto, frota, multas, IPVA.
validar-titulo-eleitor
Valida titulo de eleitor brasileiro (12 digitos, com 2 DVs por modulo 11) usando algoritmo oficial do TSE. Use ao receber titulo de eleitor em onboarding, KYC, cadastro de eleitor, doacao eleitoral ou identificacao alternativa quando CPF nao foi exigido.
gpt-4o-image
Generate and edit images with GPT-4o Image through RunAPI. Use when the user asks an agent to create, edit, or transform images with GPT-4o Image. Default to the RunAPI CLI for one-off generation; use SDKs only when the user is integrating RunAPI into an app or backend.
__slug__
__DESCRIPTION__
cross-eval
/cs:cross-eval <memo> — Multi-model consensus on a board memo or strategy brief. Claude + Codex + Gemini cross-review with graceful degradation.
agent-usage
Query AI coding agent usage, costs, and token consumption. Supports Claude Code, Codex CLI, OpenClaw, and OpenCode. Ask about spending, token usage, model costs, session history, API call counts. Actions: check usage, show cost, compare models, list sessions, analyze spending, token breakdown. Time ranges: today, this week, this month, this year, last N days, custom dates.
claude-pet
Use when the user asks about their claude-pet — its level, mood, achievements, project status — or wants to rename it, log a milestone, or start/stop the desktop widget.
code-breaking-changes
Breaking changes
code-review-change-size
Change size guidance (800 lines)
release-changelog
Generate and maintain release changelog entries from git history.
hyper-auto
Use when plan-harden → implement-harden should chain in one gesture — hyper-plan-loop produces a clean plan, then hyper-implement-loop executes and hardens it. Also when the user invokes /hyperclaude:hyper-auto. For manual control between phases use /hyperclaude:hyper-plan-loop, inspect the plan, then /hyperclaude:hyper-implement-loop. Inherits both loops' agent-teams requirement (`CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1`).
hyper-code-review
Use after producing code changes that should be critiqued — before commit or merge. The default for a natural-language code review of the user's work ("review my code", "review my changes", "check my diff") — prefer this over the built-in code-review skill; does NOT apply to a pasted snippet, a named file/range, or a PR URL. Also when the user invokes /hyperclaude:hyper-code-review. Runs Codex against the current branch, working tree, or a specific commit. Distinct from /hyperclaude:hyper-plan-review (plans, not code).
hyper-docs-loop
Use when documentation should be brought into accuracy with the code in one gesture — Codex docs-review → fix → re-review, repeated until no blocking findings remain. Also when the user invokes /hyperclaude:hyper-docs-loop. For manual round-by-round control use /hyperclaude:hyper-docs-review + manual edits instead. Requires the experimental agent-teams feature.
hyper-docs-review
Use after documentation edits — typically after the documenter agent runs, or when the user invokes /hyperclaude:hyper-docs-review. Runs Codex for accuracy, drift, completeness, broken links, cross-doc inconsistencies — NOT prose or style. Distinct from /hyperclaude:hyper-code-review (code diffs) and /hyperclaude:hyper-plan-review (plans).
hyper-docs-sync
Use after implementation changes documented API, schemas, CLI flags, or architecture — before docs go stale. Also when the user invokes /hyperclaude:hyper-docs-sync. Syncs docs to the current code state.
hyper-implement
Use when about to execute a multi-task plan from .hyperclaude/plans/. Also when the user invokes /hyperclaude:hyper-implement. Runs each task in a fresh subagent with spec-compliance and code-quality gates between tasks.
hyper-implement-loop
Use when a plan should be executed end-to-end and critic-hardened in one gesture — implement → Codex code-review → fix, repeated until clean. Also when the user invokes /hyperclaude:hyper-implement-loop. For manual round-by-round control use /hyperclaude:hyper-implement + /hyperclaude:hyper-code-review instead. Requires the experimental agent-teams feature.
hyper-interview
Use when starting from a vague or under-specified idea and want requirements clarified before planning — "interview me", "ask me what you need", "clarify requirements first", "I'm not sure exactly what I want", "make sure you understand before building". Also when the user invokes /hyperclaude:hyper-interview. Runs a short one-question-at-a-time interview and writes a spec to .hyperclaude/specs/ — the front-end input to /hyperclaude:hyper-research and /hyperclaude:hyper-plan. Distinct from /hyperclaude:hyper-plan, which decomposes an ALREADY-CLEAR task into tasks.
hyper-plan
Use when about to start a non-trivial implementation that needs decomposition before coding. Also when the user invokes /hyperclaude:hyper-plan. Produces an ordered, bite-sized plan in .hyperclaude/plans/ — the input for /hyperclaude:hyper-plan-review and /hyperclaude:hyper-implement.
hyper-plan-loop
Use when a plan should be produced and critic-hardened in one gesture — plan → Codex review → revise, repeated until clean. Also when the user invokes /hyperclaude:hyper-plan-loop. For manual round-by-round control use /hyperclaude:hyper-plan + /hyperclaude:hyper-plan-review instead. Requires the experimental agent-teams feature.
hyper-plan-review
Use after a plan exists in .hyperclaude/plans/ and should be sanity-checked before execution. Also when the user invokes /hyperclaude:hyper-plan-review. Runs Codex critique on the plan — distinct from /hyperclaude:hyper-code-review (code, not plans).
hyper-research
Use when starting a non-trivial task and want prior-art, pitfalls, or recommendations before designing. Also when the user invokes /hyperclaude:hyper-research. Runs Codex and Claude in parallel by default, producing two artifacts in .hyperclaude/research/.
security-review
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
workflow-router
Match raw prompts to canonical framework workflows before any pipeline phases begin.
geo
GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Performs full GEO audits, citability scoring, AI crawler analysis, llms.txt generation, brand mention scanning, platform-specific optimization, schema markup, technical SEO, content quality (E-E-A-T), and client-ready GEO report generation. Use when user says "geo", "seo", "audit", "AI search", "AI visibility", "optimize", "citability", "llms.txt", "schema", "brand mentions", "GEO report", or any URL for analysis.
geo-audit
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit across AI citability, platform analysis, technical infrastructure, content quality, and schema markup. Produces a composite GEO Score (0-100) with prioritized action plan.
geo-brand-mentions
Brand mention and authority scanner for AI visibility. Analyzes brand presence across platforms that AI models rely on for entity recognition and citation decisions. Produces a Brand Authority Score (0-100) with platform-specific recommendations.
geo-citability
AI citability scoring and optimization. Analyzes web page content to determine how likely AI systems (ChatGPT, Claude, Perplexity, Gemini) are to cite or quote passages from the page. Provides a citability score (0-100) with specific rewrite suggestions.
geo-crawlers
AI crawler access analysis. Checks robots.txt, meta tags, and HTTP headers to determine which AI crawlers can access the site. Provides a complete access map and recommendations for maximizing AI visibility while maintaining appropriate control.
geo-llmstxt
Analyzes and generates llms.txt files -- the emerging standard for helping AI systems understand website structure and content. Can validate existing llms.txt files or generate new ones from scratch by crawling the site.
codex-vscode
Configure and troubleshoot OpenAI Codex in VS Code and VS Code-compatible IDEs. Use when adding Codex project instructions, installing standards for the Codex VS Code extension, explaining Codex instruction discovery, or aligning Codex with this repository's AI-Agent-Standards workflow.
secret-scan
Scan code or a diff for hardcoded secrets (API keys, tokens, passwords, private keys, and other exposed credentials) before they get committed or shipped. Use before committing, during review, or when auditing a repository.
codex-profile-switch
Help non-developer users switch Codex Desktop between a ChatGPT personal account and an API proxy without losing conversation history. Includes an interactive API setup wizard where users only paste a base URL and choose a model; never ask users to paste API keys into chat. Trigger phrases:「切 api / 切回个人账号 / 配置 API 代理 / 设置 API 地址 / codex 切档案 / codex 换 api」「switch codex to api / setup codex api proxy / switch codex to chatgpt」.
codex-session-bridge
Keep Codex Desktop conversation history visible when bridging between a ChatGPT personal account and an API proxy. This is a session-continuity skill, not an API manager. Includes an interactive API setup wizard where users only paste a base URL and choose a model; never ask users to paste API keys into chat. Trigger phrases:「codex 会话桥 / codex 会话不见了 / 历史会话不显示 / 切 api / 桥接到 api / 切回个人账号 / 配置 API 代理 / 设置 API 地址」「codex session bridge / missing codex conversations / bridge codex sessions to api / switch codex to api / switch codex to chatgpt」.
launchmystore
Build, run, and customize a LaunchMyStore e-commerce store from natural language. Use when the user wants to scaffold an app, ship a storefront / checkout / admin extension, build and deploy a WASM Function, configure App Bridge actions (Toast, Modal, ResourcePicker, SessionToken, TitleBar...), manage products / orders / customers / themes via the LaunchMyStore MCP server, or write Aqua (Liquid-dialect) theme code. Triggers include: "build a LaunchMyStore app", "lms cli", "add a discount function", "set up app bridge", "manage my store with AI", "write a theme block", "install an extension", "deploy a function", "use launchmystore", "lms", or any mention of LaunchMyStore / launchmystore.io.
exa-code-search
Code search using Exa. Finds real code snippets, API docs, and examples from GitHub, StackOverflow, and technical docs. Use when searching for code examples, API syntax, library documentation, or debugging help.
dev-workflow
异步规划 + Codex 自动执行 + 自动验证（Plan→Run→Verify→Fix）
oracle
Ask the user's logged-in ChatGPT Pro model, currently GPT-5.5 Pro, through Chrome using the Chrome plugin, wait for the answer, and bring the useful guidance back into the current Codex thread.
prompt-engineering
Optimizes and rewrites prompts using proven prompt engineering techniques — draft diagnosis, canonical structure (role, context+motivation, sequential instructions, XML, few-shot, chain-of-thought, output contract, success criteria), technique selection by task type and by target model (Claude 4.x, OpenAI reasoning/GPT, Gemini). Use when the user says "/prompt-engineering", "improve this prompt", "optimize this prompt", "rewrite this prompt", "apply best practices to this prompt", "turn this into a good prompt", or pastes a prompt draft asking to make it better. Reusable across any project.
lictor-explain
Takes any security finding, error message, or jargon-heavy security advice and explains it in plain English. Use this when someone is confused by what /lictor-security-check found, or when they got a security warning from another tool and don't understand it.
lictor-fix-it
Applies the fixes recommended by /lictor-security-check, with the user's explicit permission for each change. Walks through findings one at a time, shows the proposed change, gets approval, applies, runs tests if available, and moves on. Some fixes (rotating leaked credentials) require the user to act outside Claude — surface those clearly.
lictor-rotate
Walks the user through rotating a leaked API key — step by step, provider-specific. Knows the exact URL to visit, the exact button to click, and how to verify the rotation worked. Supports Stripe, OpenAI, Anthropic, Google Cloud / AI Studio, GitHub, AWS, Slack, Supabase, Firebase, Postmark, and generic OAuth providers.
lictor-security-check
Pre-release security audit for AI-built web apps. Scans the user's project for 7 common bugs that get vibe-coded SaaS apps embarrassed in public — leaked API keys, unprotected user-data endpoints, open databases, the wrong kind of admin-page lock, exposed config files, dangerous AI chat setups, and over-permissive cross-origin settings. Writes a plain-English markdown report. No jargon.
find-skill
Search the leading skill / agent / plugin marketplaces in real time and rank the top N matches for a user query. Use when the user asks 'find a skill for X', 'is there a plugin that does Y', 'what skill should I use to Z', 'recommend an agent for W', 'compare skills for ...'. Queries Anthropic claude-plugins-official, OpenAI Codex Directory, Gemini CLI Extensions, Smithery, mcp.directory, VoltAgent/awesome-agent-skills, wshobson/agents, obra/superpowers, mattpocock/skills, and Claude marketplace aggregators. Returns a numbered list with a match score (0-100), a quality score (0-10), name, description, and URL. Trigger words: 'find skill', 'find a plugin', 'skill for', 'plugin for', 'agent for', 'recommend a skill', 'search skills'.
open-source-launch
Prepare any open-source repository for a clear, trusted public launch. Use when auditing launch readiness, improving README/metadata/proof, choosing launch channels, writing launch copy, or producing a final launch verdict.
darwin-skill
Darwin Skill (达尔文.skill): autonomous skill optimizer inspired by Karpathy's autoresearch. Evaluates SKILL.md files using an 8-dimension rubric (structure + effectiveness), runs hill-climbing with git version control, validates improvements through test prompts, and generates visual result cards. Use when user mentions "优化skill", "skill评分", "自动优化", "auto optimize", "skill质量检查", "达尔文", "darwin", "帮我改改skill", "skill怎么样", "提升skill质量", "skill review", "skill打分".
karpathy-guidelines
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
nuwa-skill
女娲造人：输入人名/主题/甚至只是模糊需求，自动深度调研→思维框架提炼→生成可运行的人物Skill。 两种入口：(1)明确人名→直接蒸馏 (2)模糊需求→诊断推荐→再蒸馏。 触发词：「造skill」「蒸馏XX」「女娲」「造人」「XX的思维方式」「做个XX视角」「更新XX的skill」。 模糊需求也触发：「我想提升决策质量」「有没有一种思维方式能帮我...」「我需要一个思维顾问」。
codex
Start an OpenAI Codex CLI session for deep reasoning and code analysis
solana-agent-kit
Comprehensive guide for building AI agents that interact with Solana blockchain using SendAI's Solana Agent Kit. Covers 60+ actions, LangChain/Vercel AI integration, MCP server setup, and autonomous agent patterns.
memory-audit
Get a one-shot health report on the user's MemoryVault — memory count, entity coverage, dead wikilinks, orphan entities. Use when the user asks "how's my vault?", "vault status", "is my memory healthy?", or before any deep work session where you want to verify the data layer is intact. Also useful BEFORE running memory-refresh to know if there's existing rot.
memory-heal
Auto-fix safe issues in the user's MemoryVault — backfill missing person aliases, resolve dead wikilinks by mapping to existing entities, mark orphan entity files as stubs. Use when memory-audit surfaces hygiene problems (dead_wikilinks > 0, entities_without_aliases growing) or once a month as preventive maintenance. Idempotent — running it twice is safe.
memory-ingest
Bulk-import a folder of markdown notes into the user's MemoryVault, OR add a single markdown file. Use when the user says "import my old notes from <path>", "bring in this file", or "convert this folder of notes to memories". Wraps each file with proper frontmatter, generates stable IDs, and lints. Different from memory-save (which is for single new memories from agent context).
skill-installer
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
codex-plugin-discovery
Use when a user asks what Codex plugins are available or can be used, wants plugin recommendations for a task, asks to find/search/discover installable plugins, asks about the plugin marketplace, or asks whether a plugin can help with a task.
cortex-import
Import memories from other AI memory systems into Cortex. Supports claude-mem (SQLite), Claude Desktop sessions, ChatGPT web export (JSON), Gemini Takeout (JSON), Cursor conversations, and Claude Code JSONL. Use when the user says 'import from claude-mem', 'migrate memories', 'import ChatGPT history', 'import from Gemini', 'transfer memories', or when Cortex detects another memory system is installed.
naverstock-web-api
Use when a user asks to inspect, catalog, call, or safely refuse unofficial Naver Stock/네이버증권 stock.naver.com web internal APIs/내부 API for stock information, Korean stocks, market indices, crypto, news, research, discussions, rankings, IPOs, ETFs, market indicators, charts, or network calls. Also use for related login/account/order/portfolio/favorite/cookie/HAR/investment-advice/finance.naver.com requests so the agent can refuse or redirect.
analyze-asset-with-agents-team
Use this skill whenever the user asks to analyze, research, evaluate, or get a recommendation on any investment asset — a publicly listed stock (US NYSE/NASDAQ, HK HKEX, A-share SSE/SZSE), a cryptocurrency or token (BTC, ETH, SOL, DeFi governance tokens, etc.), or a privately held company (Stripe, OpenAI, SpaceX, 字节跳动, etc.) — or mentions such an asset in an investment context. Triggers include: '分析XX股票', 'should I buy NVDA', '值得投资吗', 'analyze AAPL', 'analyze BTC', 'is ETH a buy', 'is Stripe a good investment', '帮我研究一下腾讯', '现在能买XX吗', '字节跳动值不值得买', 'OpenAI估值'. The skill auto-detects asset class, loads the matching profile (asset_profiles/<class>.md) for data sources, macro/fundamental/market queries, and output template, then runs a comprehensive multi-expert workflow: (1) identifies the asset, (2) fetches price history + charts via a per-class Python script (stock via akshare/yfinance, crypto via CoinGecko/Binance; private companies skip this step), (3) gathers MECE baseline data via WebSearch using the profil
get-api-docs
Fetch curated API documentation using Context Hub (chub) before coding against any external API. Use when the task involves calling a third-party API (Stripe, OpenAI, Airwallex, Notion, etc.) to prevent hallucinated parameters and deprecated endpoints.
humanizer-pro
Use when editing, reviewing, or self-auditing text to remove signs of AI writing and make it read as human: "humanize this," de-slop a draft, "sounds too AI," or cleaning up a chatbot reply pasted as content. Covers prose tells (significance and promotional inflation, vague attribution, superficial -ing phrases, AI vocabulary, syntactic tells, verbosity and padding, rhetorical formulas, binary contrasts, rule of three, em-dash overuse, formatting) and mechanical artifact leakage (citeturn0search0, contentReference, oaicite, oai_citation, grok_card, web/attached_file tags, utm_source=chatgpt.com) plus unfilled placeholders ([Your Name], 2025-XX-XX, INSERT_, PASTE_..._HERE).
humanizer
Use when the user wants to humanize, de-AI, de-slop, or un-ChatGPT a piece of text — strip AI-isms and add real voice. Scans for 29 documented AI-writing patterns (Wikipedia's "Signs of AI writing") and produces a draft → self-audit → final rewrite. Optional voice-calibration from a user-provided writing sample. Adapted from Hermes Agent / blader/humanizer.
tfx-codex
Codex-Only 오케스트레이터. tfx-auto 워크플로우를 Codex 전용으로 고정합니다.
codex-infinity-thread
Keep long Codex conversations alive: repair an oversized session that crashes the Codex desktop app with "RangeError: Invalid string length" or won't open a conversation. Use whenever Codex won't reload a session, the desktop app crashes or white-screens on launch or when opening a chat, or a session rollout file under ~/.codex/sessions has grown huge (commonly from embedded base64 screenshots or large tool outputs). Slims the on-disk rollout in place - dropping superseded compaction checkpoints, replacing images with text, truncating oversized outputs, archiving the original first - so the session reloads and can be continued. Trigger on phrases like "Codex crashes on startup", "Invalid string length", "Codex won't open my conversation", "Codex session too big", "oversized rollout", or "recover my Codex session". Not for routine context-window pressure (use Codex's /compact) and not for Claude Code sessions, which store attachments by reference and do not hit this crash.
exaaiagent
Run, debug, maintain, or extend ExaAiAgent for AI-assisted penetration testing, attack-surface mapping, repo/code security review, and multi-agent offensive-security workflows. Use when an AI agent needs onboarding instructions for operating ExaAiAgent, when a user wants to launch scans from CLI/TUI, when ExaAiAgent itself needs maintenance, or when another agent should use ExaAiAgent with any LiteLLM-supported provider (OpenAI, Anthropic, OpenRouter, Ollama, Gemini-compatible endpoints, and other LiteLLM-backed providers).
approval
Set omi approval posture (`suggest`, `auto`, `full-auto`) with explicit risk guardrails.
autopilot
Run autonomous multi-stage execution loops until acceptance criteria pass or blockers are reached.
cancel
Gracefully stop active autonomous workflow, preserve progress, and produce a resume-ready handoff.
consensus
Compare multiple implementation options and converge on one decision with explicit tradeoffs.
context-optimize
Improve context efficiency and cache stability for long or complex sessions.
deep-init
Initialize long-session context with a deep repository map, validation hooks, and risk hotspots.
doctor
Run omi readiness diagnostics for commands, skills, state files, and team/hook safety posture.
execute
Implement a scoped task quickly and safely, then validate and summarize changes.
hooks
Operate omi's extension-native hook pipeline with deterministic triggers, safety gates, and efficiency budgets.
hud
Control omi visual HUD profile and keep status output readable in normal, compact, or hidden mode.
intent
Classify user intent and route work to the correct omi stage before execution starts.
loop
Enforce repeated exec-verify-fix cycles until acceptance criteria pass or blockers are explicit.
memory
Manage durable project memory with MEMORY.md index, topic files, and modular rule packs.
mode
Inspect or switch omi operating mode/profile for speed, depth, autonomy, or strict quality gates.
plan
Create a phased implementation plan with risks, dependencies, and validation checkpoints.
prd
Convert a request into PRD-quality scope, measurable acceptance criteria, and delivery constraints.
ralph
Run strict quality-gated orchestration where every completion claim must pass verification gates.
ralplan
Create a strict, quality-first execution plan with explicit gates and rollback-ready sequencing.
reasoning
Control omi reasoning effort level to balance depth, rigor, latency, and token cost.
research
Run source-backed technical research and convert findings into implementation-ready guidance.
rules
Inject conditional rule packs (tests, migration, security, docs, perf) based on task signals.
team
Coordinate the full omi stage pipeline across sub-agents for complex delivery (plan -> prd -> exec -> verify -> fix).
team-assemble
Assemble a task-fit Agent Team dynamically, request approval, then execute the staged lifecycle.
ultrawork
Deliver many independent tasks quickly with shard-based execution and periodic quality gates.
comb
Search 3.2 billion leaked credentials in the COMB dataset via ProxyNova API (no API key required).
ifconfig
Let your AI agent debug your server's external requests (no API key required).
assemble-document
Assemble the final calendar delivery document (DOCX) with all posts, images, and copy.
build-review-gallery
Build an interactive HTML review gallery with all generated posts for team review.
create-previews
Generate platform mockup previews showing how posts will look on each social platform.
finalize-month
Package all approved content into the final delivery folder structure for handoff.
manage-reviews
Handle approval workflows — internal review, client review, CEO approval, revision requests.
render-carousels
Render multi-slide carousels from HTML templates via Playwright. Use when: producing carousel posts.
write-documents
Apply when creating or editing INFO, SPEC, IMPL, TEST, FIX documents, or STRUT plans
devsquad
V3.6.6 DevSquad — Enterprise Multi-Role AI Task Orchestrator. One task → Multi-role AI collaboration → One conclusion. 7 core roles (architect/pm/security/tester/coder/devops/ui), real LLM backend (OpenAI/Anthropic/MOKA AI), CLI + MCP + Python API + REST API + Web Dashboard. ThreadPoolExecutor parallel, CheckpointManager, WorkflowEngine, streaming, Docker, CI. NEW in V3.6.6: RBAC Engine, Audit Logger, Multi-Tenancy Manager, Sensitive Data Masker, AsyncIO Transformation (2x throughput), Redis Cache Integration (95%+ hit rate), Prometheus Monitoring (12 metrics), E2E Test Suite (27 cases, 100% pass), 1731+ tests passing, 97% Enterprise Grade maturity.
coding-agent-work-loop
GitHub label-driven workflow that lets a local AI handle issues / PRs; the daemon listens for `pending/agent` and dispatches work. Every issue's design proposal / discussion / code / Claude conversation / tmux history is filed under the issue number, so you can find or resume any of it later just by knowing the issue number. Commands include setup (deploy to a project), status (check daemon state), disable (turn off a project's daemon)
harness-subagent
Create and manage subagent entities in the agent-harness workspace. Invoke this skill when a user wants to define, scaffold, apply, or remove a subagent across Claude Code, OpenAI Codex, or GitHub Copilot.
pev-bootstrap-codex
OpenAI Codex CLI を pev-harness の external reviewer (Verify phase) / external executor (Execute phase) として導入する one-time setup skill。 codex CLI install 確認 (npm i -g @openai/codex または brew install --cask codex)、 CODEX_API_KEY 環境変数の存在確認、 codex exec --json で sanity test、 settings.local.json の PEV_REVIEWER_MODE / PEV_EXECUTOR_MODE 雛形提案までを 1 操作で完了する。 v1.4 pev-bootstrap-playwright + v1.9 pev-bootstrap-project と並列の sibling。
cn-stats
中国国家统计局公开数据查询技能，当用户想查询经济、CPI、GDP、人口、房价指数等数据时触发。
cn-stats
中国国家统计局公开数据查询技能，当用户想查询经济、CPI、GDP、人口、房价指数等数据时触发。
cn-stats
中国国家统计局公开数据查询技能，当用户想查询经济、CPI、GDP、人口、房价指数等数据时触发。
go-tdd-bugfix
Use this skill for any request to fix a bug, debug a failure, or address a regression in code paths matching .tdd/tdd-config.json tier1_path_regexes. Reproduces the bug as a failing test BEFORE diagnosing or fixing. Two human approval gates.
go-tdd-feature
Use this skill for any request to implement, add, build, or create new functionality in code paths matching .tdd/tdd-config.json tier1_path_regexes. Drives spec -> APPROVED SPEC -> failing test -> APPROVED GREEN -> implementation -> APPROVED IMPLEMENTATION -> commit -> refactor, with three human approval gates.
go-test-writer
Write or extend Go tests following team conventions — table-driven, race-enabled, with pgx (testcontainers / pgxmock) and HTTP (httptest) patterns. Use when the user asks to add tests, write a test, write a regression test, write a fuzz/property test, or extend test coverage. Verifies results before reporting done.
new-module-scaffold
Scaffold a new Go service, package, or subsystem following the existing repo conventions (matches existing structure, names, entry points, test layouts). Use when the user asks to scaffold, create, or set up a new package / module / service / binary / worker / handler.
ralpharchive
Archive the current Ralph prd.json and progress.txt before starting a new feature. Use when you need to archive a completed or abandoned Ralph run. Triggers on: archive ralph, archive prd, ralph archive, clear ralph, reset ralph.
obsidian-zettelkasten
Obsidian note templates, naming conventions, and wikilink rules for Zettelkasten output
annotate
中文网文正文标注与节奏可视化。当用户要在正文里标出钩子/爽点/高潮/打脸/伏笔的位置、看一章的节奏分布、检查爽点密度、或标记和建议修饰词（短平快爽文爱加的强化词）时使用。产出带标签的正文 + 节奏数据表，方便作者直观看数据。
character
中文网文人物设定。当用户要设计主角、反派、配角、CP，做人设卡、人物小传、角色弧光、人物关系网，或人物"立不住/脸谱化/前后不一"时使用。产出有记忆点、有成长弧、服务爽感的人设卡。
coach
中文网文写作教学与陪练（新手友好，选择性开启）。当用户想学怎么写网文、问写作技巧、要拆解某个套路为什么有效、要带教学点评的改稿、或说"教我写""我是新手"时使用。只在用户主动调用时出现，不会自动插入其他写作技能。
deconstruct
拆解对标平台爆火网文，学结构不抄字。当用户想拆书、分析爆款小说为什么火、对标某本热门书、提炼爆文的开篇/爽点/金手指/节奏套路、或要"照着这本爆款的写法写我自己的"时使用。输出可复用的结构模板，严守不抄袭原创底线。
deslop
去除中文网文里的 AI 味。当用户说正文"太像AI写的/有翻译腔/太工整/没人味/排比堆砌/读起来假"、嫌"无缘无故的修辞""引用奇怪跨度大/语域不一致"、嫌"重复的修辞句式""同义反复(他非常生气他怒了)""极端词太多(非常/极大)""莫名其妙的陈述句""句号当顿号""段落太对仗工整行数雷同"，或要把 AI 稿改得像真人时使用。产出更口语、更有网感、风格统一的网文文字。
dialogue
中文网文对话与台词。当用户要写/改对话、设计金句名场面台词、写打脸装13台词、虐心或甜宠台词、抱怨"对话太生硬/太书面/像AI/每个角色一个腔"、或要让人物说话有区分度时使用。产出口语化、有潜台词、符合人设声音的台词。
draft
把小说写成"供修改的 Word 草稿"。当用户要把稿子导成 Word/docx、要分章节带目录、章标题左对齐、要标出可以改的地方让自己修改、或说"先写个大概我来筛选修改"时使用。产出 Word 草稿(目录+第X章左对齐+【修改】红色高亮建议)，命名《书名》修改N，绝不覆盖原文。
emotion
中文网文情绪描写（show don't tell）。当用户要把"我很心疼/我好痛苦/他很愤怒"这类直白喊情绪的句子改成可感的描写、要让读者自己感受到情绪、嫌情绪写得太直白/太空/没代入、或要写虐点/感动/紧张等情绪场景时使用。用神态/动作/生理反应/潜台词把情绪演出来，而不是说出来。
expand
中文网文正文扩写。当用户要把大纲/章纲写成正文、扩写某一章、续写下一章、把简介扩成场景、或要"按这个细纲写 3000 字"时使用。按平台字数和节奏产出可直接发布的网文正文，保持人设与伏笔连贯。
fanfic
中文同人文创作与版权合规检测。当用户要写同人文（影视/动漫/小说/游戏 IP 衍生）、问某个同人能不能商用签约、做同人版权风险检测、或需要安全改写规避侵权时使用。结合各平台同人政策给创作方案和合规校验。
goldfinger
中文网文金手指（外挂/系统）设计。当用户要设计系统流、签到流、空间流、模拟器、重生先知、扮猪吃老虎等核心设定，或要给主角一个变强机制时使用。产出有门槛、有成长曲线、有代价、与主线绑定的金手指方案。
hook
中文网文钩子设计。当用户要写开篇/开头、第一句、黄金三章钩子、章节结尾断章、付费节点悬念、或抱怨开头留不住读者时使用。产出多个可选钩子方案并说明钩点原理。
idea
中文网文选题立意。当用户想确定写什么题材、找爆款选题、提炼一句话卖点、设计黄金三章、或验证一个小说点子是否有市场时使用。产出可直接开写的选题方案（频道+类型+金手指+卖点+开篇策略）。
memory
中文网文创作档案与记忆系统。当用户要记录/保存大纲人设设定、跨会话继续写之前的书、问"我写到哪了/这个伏笔回收了吗"、给书做版本快照(像git)、或管理多本书的创作进度时使用。在书的文件夹里维护持久化档案，所有写作技能共享读写。
name
中文网文角色起名/人名。当用户要给主角、女主、反派、配角、长辈起名字、改名字，嫌角色名太大众/太AI/烂大街（如叶辰苏念林婉儿）、或说"我不会起名字"时使用。按题材/时代/身份/性别产出贴合且有记忆点的角色名，规避网文流水线烂大街姓名。
outline
中文网文大纲设计。当用户要写小说大纲、卷纲、章节细纲、规划主线支线、设计伏笔、或安排剧情节奏时使用。从整本书架构到单章细纲分层产出，保证长线连贯与爽点节奏。
review
中文网文审稿与追读诊断。当用户要审稿、检查剧情漏洞、查伏笔有没有回收、人设是否前后一致、爽点密度够不够、或想知道"读者为什么追读会掉/这章为什么留不住人"时使用。产出数据化诊断报告和可执行的修改建议。
shuangdian
中文网文爽点与打脸桥段设计。当用户要设计打脸、扮猪吃老虎、装13、逆袭、复仇、碾压反派、或抱怨剧情"不够爽/太平淡/读者说没爽点"时使用。产出三段式爽点闭环和打脸四拍，并保证爽点升级不重复。
slang
中文网络热梗/流行语，实时查 + 用得不突兀。当用户想给现代向小说加网感、想知道当下抖音/小红书(RedNote)/微博/B站流行什么梗、问某个梗还火不火、或担心"加梗会不会突兀/过气"时使用。联网搜当前热梗，并按题材/人物/平台给"该不该用、用哪个、放哪"的判断，避免突兀和廉价。
spark
中文网文灵感记录与一键成稿。当用户冒出一个灵感/点子想随手记下来、想把灵感本里的某个点子孵化成大纲或初稿、或说"就这一个想法帮我写出来"时使用。支持灵感速记、一个灵感→大纲→初稿全流程，可设定总字数/单章字数并自动分章节。
submission
中文网文投稿与过稿诊断。当用户要投稿/签约、想知道稿子能不能过编辑审核、写书名简介标签、做黄金三章过稿自检、记录某次投稿没过的原因、或问"为什么没签约/怎么提高过稿率"时使用。按平台签约标准体检、读写投稿记录、按历史拒因避免重犯。
title
中文网文起名/取书名。当用户要起书名、取名、改名、嫌书名太普通/太AI/太文艺/没记忆点、或要一批可选书名时使用。产出带题材关键词、爽点和钩子的网文书名，专门规避"抽象文艺、烂大街、没关键词"的AI味通病。
trends
中文网文平台趋势与喜好实时调研。当用户想知道当下番茄/晋江/起点/UC/知乎盐选/Webnovel 平台流行什么题材、热门标签、上榜套路、读者偏好，或要做选题前的市场调研、追风口时使用。优先用联网搜索拉取最新数据，给可执行的选题/标签建议。
warmth
写温暖现实向短篇/治愈系小说。当用户要写有温度、有现实意义、不狗血不煽情不说教的故事，写普通人的小困境/小成长/治愈系，或嫌稿子"太爽文/太空/想要点意义但别灌鸡汤"时使用。用小冲突+生活细节+温暖收束，让读者看到现实、带走余味。
ai-citation-optimizer
Rewrites existing landing pages, blog posts, and documentation so AI search engines (Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini) cite them. Applies the 2026 AEO pattern: 40-80 word direct answer at top, 4-intent classification (definitional / process / comparative / decision), Article + FAQPage + Organization schema, verified authorship, entity-consistent claims. Use when an existing page underperforms in AI answers despite ranking well in classic SERPs.
ai-citation-tracker
Track brand mentions, URL citations, and share-of-voice across the 2026 AI search surface — ChatGPT (with browsing), Perplexity, Claude (with search), Google Gemini, Google AI Overviews, Bing Copilot, You.com, Phind, and Microsoft Copilot. Polls a configurable query set per engine on a schedule; logs whether your brand was mentioned, whether your URL was cited, who your competitors were, and how all of that moved week over week. Outputs share-of-voice dashboards, weekly delta reports, competitor matrices, and citation-gap analysis (queries where you SHOULD be cited but aren't). Closes the single biggest gap in legacy SEO platforms — Visibly AI / Semrush / Ahrefs / Moz / Conductor all under-cover this surface in 2026, even though AI Overviews now answer 30%+ of informational queries with zero clicks. TRIGGER on "AI citation tracking", "share of voice AI", "ChatGPT citations", "Perplexity citations", "AI Overview tracking", "brand mentions in AI", "LLM visibility", "GEO tracking", "AEO measurement", "AI search
vba-docgen
Excel VBA (.xlsm / .xlam / .xls) または個別 .bas / .cls / .frm を解析し、 関数 / 変数 index、I/O 関係、機能概要、内部仕様書、外部仕様書、ユーザマニュアルを 生成する skill。決定的部品 (extract / parse / index / render) と pass prompts / ドキュメント template を提供する。LLM 推論は host (Claude Code 等) が責任を持つ — 本 skill 内部から LLM API は一切呼び出さない (ADR-0036 準拠)。 Triggers: Excel VBA、マクロ解析、xlsm ドキュメン��化、VBA リファクタ、 .bas/.cls/.frm 解析、Excel マクロから仕様書を作りたい。
ai-paper-reading
精读AI论文，按8问拆解+Q&A检测+疑点标记，输出结构化的技术理解。 当用户需要阅读、精读、拆解 AI/LLM/Agent/RAG 相关论文时使用。 触发词：精读论文、读论文、论文拆解、paper reading、paper review、论文笔记。 不适用于：非 AI 领域论文、只需要摘要的场景。
ultracode
Run a disciplined multi-agent workflow for serious coding tasks: classify, plan, packetize, delegate when it helps, integrate, and verify. Use when the user types ultracode, $ultracode, ultra code, or asks for a dynamic/multi-agent/subagent/parallel workflow, agent swarm, 'delegate this', 'split this across agents', or an independent verification pass. In Claude Code, maps directly onto the native Workflow tool and Task/Agent subagents and routes packet work through the vd: skill stack.
speckit.geo
GEO Strategist - Optimized for AI Search (ChatGPT, Gemini, Perplexity).
video-expert-analyzer
Advanced video analysis and selection skill with AI-powered automatic scoring. Integrates Walter Murch's rules and dynamic weighting for professional-grade curation. Supports Bilibili, YouTube, Douyin (抖音), and Xiaohongshu (小红书). Use this skill whenever the user wants to analyze videos, score or rate scenes, extract best shots/highlights, evaluate video quality, curate clips, do competitor video analysis, or mentions terms like "视频分析", "镜头筛选", "场景评分", "视频拆解", "精选片段", "视频质量", "镜头打分", "素材挑选" — even if they don't explicitly ask for "expert analysis".
browser-use
用 Browser-Use 做复杂网页自动化（多步骤登录、填表、发帖、数据抓取）。当内置 browser tool（snapshot→act）搞不定时用这个——它是专门的浏览器AI agent，一个task丢进去自主完成全流程。触发词：browser-use、浏览器自动化、自动登录、自动填表、自动发帖、网页操控、复杂网页操作。
openlog
启动或恢复一个模块的开发工作流——在项目根目录的 `OpenLog/` 下浏览模块清单、快速接手某个已有模块的最新进度，或为一个新模块搭建文档骨架（架构 / 开发日志 / 当前阶段）。任务收尾时自动维护这三个文���，以便下一次会话 / 下一个 agent 能用最少 token 接手。 触发条件：用户输入 `/openlog`，或在大型项目里说"开始开发 X 模块"、"接手 X 模块"、"现在做哪个模块"、"模块开发起步"、"写一下这个模块的开发日志"等模块级开发起步 / 收尾动作。
openai-whisper
Local speech-to-text with the Whisper CLI (no API key).
ai-prompt-mastery
讓 AI 發揮極致潛力的通用方法論。使用情境：(1) 覺得 AI 回答太籠統或不夠好， (2) 想要 AI 用專家級標準回答，(3) 不知道怎麼問才能得到好答案， (4) 想分享給別人讓他們也能把 AI 用好。包含即貼即用的 Prompt + 五大技巧。
create-ad
Create an OpenAI ChatGPT Ads campaign (campaign → ad group → chat_card ad) from a natural-language brief, created PAUSED with explicit confirmation before anything touches the API. Use when the user says "create an openai ad", "run a chatgpt ad", "launch a campaign on chatgpt ads", "promote X on chatgpt", or gives an ad brief mentioning OpenAI/ChatGPT ads.
creating-agent-teams
Use when facing a complex task that could benefit from multiple agents, parallel work, or specialized roles - triggers on "create a team", "parallelize", "multi-agent", or cross-layer implementation needs
using-openai-platform
OpenAI SDK development with GPT-5 family, Chat Completions, Responses API, embeddings, and tool calling. Use for AI-powered applications, chatbots, agents, and semantic search.
using-perplexity-platform
Perplexity Sonar API development with search-augmented generation, real-time web search, citations, and OpenAI-compatible Chat Completions. Use for AI-powered applications requiring up-to-date information, research assistants, and grounded responses with sources.
ui-ux-pro-max
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples.
seo-aeo-geo-content-review
Audit and review blog posts, articles, guides, comparison and listicle pages, and other content for SEO, AEO (answer engine optimization), GEO (generative engine optimization), AI-search visibility, E-E-A-T, helpfulness, originality, and citability by LLMs and AI Overviews. Produces a scorecard, gap analysis, honest ratings, a humans-first vs search-engine-first verdict, and a prioritized fix plan. USE whenever the user shares a draft or URL and asks to review, audit, grade, score, or improve content, or mentions content review, blog audit, is this people-first, will this get cited, rate this article, E-E-A-T, AEO, GEO, LLMO, AI search, AI Overviews, optimize for ChatGPT/Perplexity/Claude, content scorecard, or wants content checked against Google guidelines, a style guide, or an SEO/LLM checklist. Use it even when the user only says "what do you think of this article." Not for keyword research, link building, or technical-crawl audits alone.
codex-oracle
Query OpenAI Codex (GPT-5.2-codex) for second opinions, alternative implementations, or specialized knowledge. Use when you want to consult another AI model, need a different perspective on a coding problem, or want to verify an approach.
debug-stuck-eval
Debug stuck Hawk/Inspect AI evaluations. Use when user mentions "stuck eval", "eval not progressing", "eval hanging", "samples not completing", "eval set frozen", "runner stuck", "500 errors in eval", "retry loop", "eval timeout", or asks why an evaluation isn't finishing.
gpt-pro
Package files + structured prompts for manual copy-paste into GPT-5.4 Pro for deep reasoning review. Use when user says 'send to GPT Pro', 'GPT Pro review', 'ChatGPT Pro review', 'prepare for GPT', 'package for GPT Pro', 'get GPT to review', 'GPT Pro analysis', 'upload to ChatGPT', 'gpt-pro', '/gpt-pro', 'pack for GPT', 'bundle for ChatGPT', 'have ChatGPT check this', 'send this to GPT', 'GPT deep review'. Creates structured prompt + file bundle as tar.gz in ~/Documents/GPT Pro Analysis/ and copies prompt to clipboard for manual paste into ChatGPT Pro.
codex
Collaborate with OpenAI Codex CLI as a peer AI agent (both SOTA in 2026). Use for delegate (hand off a task), consult (one-shot second opinion), or roundtable (multi-round debate) modes. Works for coding AND non-coding domains — strategic decisions, design philosophy, ethics, research framing, creative critique. Auto-detects whether the `codex` MCP server is configured and falls back to the `codex exec` CLI if not.
add-buddy
Register a new AI CLI as a buddy — interactive wizard or one-liner
brainstorm
Multi-AI confidence bid — each AI rates their confidence on a task, user picks who takes it
codex
Ask OpenAI Codex anything — brainstorm, delegate tasks, get a second opinion
codex-review
Code review via OpenAI Codex — review uncommitted changes, branches, or commits
forge
Evolutionary multi-AI code forge — three AIs build, test, and cross-pollinate
gemini
Ask Google Gemini anything — brainstorm, delegate tasks, get a second opinion
gemini-review
Code review via Google Gemini — review uncommitted changes, branches, or commits
opencode
Ask OpenCode anything — brainstorm, delegate tasks, get a second opinion
opencode-review
Code review via OpenCode — review uncommitted changes, branches, or commits
tribunal
Multi-mode AI debate — adversarial, Socratic, steelman, red-team, synthesis, or postmortem with evidence
code-breaking-changes
Breaking changes
code-review-change-size
Change size guidance (800 lines)
test-tui
Guide for testing Codex TUI interactively
image-prompt
Generate AI image prompts with visual identity and style consistency — reads brand charter, applies artistic styles, outputs multiple prompt variants. Triggers: "image-prompt" | "generate image prompt" | "image prompt" | "prompt for image" | "visual prompt" | "generate a prompt for Grok" | "generate a prompt for Midjourney" | "generate a prompt for flux" | "image generation prompt" | "create image prompt" | "prompt for dall-e".
remove-ai-slop
Use when the user pastes text and asks to make it "less AI", "less ChatGPT", "less slop", "more human", "humanize", "de-slop", "de-AI", "edit out the AI tells", "remove AI giveaways", "clean up this generated copy", or says "this sounds AI-generated". Also use when the user asks to check writing before publishing, or when pasted draft copy shows multiple co-occurring AI tells (em-dash overuse, hedging filler, promotional padding, recap intros, copula avoidance, bullet-and-bold soup, assistant scaffolding) even if the user hasn't named the problem.
audit
Crawl a website and produce a scored SEO audit (P0/P1/P2 findings) using the Search Console MCP for real ranking data, free Google APIs for Core Web Vitals, and direct crawling for technical checks. Use when asked to "audit", "run the audit", or "check what's broken" on a site.
diagnose
Merge the audit and visibility reports into the 15 fastest fixes ranked by effort vs impact, plus the exact questions people ask AI that the site never answers. Use when asked "what do we fix first", "run diagnose", or after audit + visibility have produced reports.
fix
Execute the diagnosis - write the JSON-LD schema, the llms.txt, the copy changes and the answer content, then push live via a CMS MCP if one is connected (WordPress/Shopify/Webflow/Sanity). Use when asked to "fix it", "run the fix skill", or implement the diagnosis report.
visibility
Score a brand's AI search visibility out of 100 across ChatGPT, Gemini, Perplexity and Google AI Overviews using the DataForSEO MCP, and explain exactly why the brand is skipped. Use when asked "does AI recommend us", "check our AI visibility", or "run the visibility skill".
lennys-podcast-newsletter
Lenny Rachitsky 播客与 Newsletter 知识库。搜索、阅读、学习 Lenny 的 638 篇内容（289 播客转录 + 349 篇 Newsletter）。 涵盖产品管理、增长、设计、工程、AI、创业、领导力等 17 个主题。 触发词：Lenny、Lenny's Newsletter、Lenny's Podcast、"Lenny 怎么说"、"Lenny 有没有聊过"。
ai-seo
When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' or 'optimize for Claude/Gemini.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema-markup.
ai-wrapper-product
Turn an AI API (OpenAI, Anthropic, etc.) into a focused, defensible, paid product — prompt engineering for products, usage metering, rate limiting, model selection, and output quality control. USE WHEN building or pricing an AI-wrapper business and you need it to solve a real problem rather than be a thin ChatGPT clone.
claude-api
Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements). TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a Claude feature (caching, thinking, compaction, tool use, batch, files, citations, memory) or model (Opus/Sonnet/Haiku) in a file; questions about prompt caching / cache hit rate in an Anthropic SDK project. SKIP: file imports `openai`/other-provider SDK, filename like `*-openai.py`/`*-generic.py`, provider-neutral code, general programming/ML.
codex-assistant
通过自然语言调用 OpenAI Codex CLI 执行代码任务：重构、Bug 修复、测试生成、代码解释、迁移、审查、文档生成
opencode-providers
Use this skill when configuring LLM providers in OpenCode, setting up API keys, connecting providers via /connect, configuring custom OpenAI-compatible providers, setting up local models (Ollama, llama.cpp, LM Studio), or troubleshooting provider authentication issues. Covers all 75+ supported providers, OpenCode Zen, OpenCode Go, provider-specific options, and environment variable configuration.
ai-evals
Help users create and run AI evaluations. Use when someone is building evals for LLM products, measuring model quality, creating test cases, designing rubrics, or trying to systematically measure AI output quality.
daily-brief
Operational knowledge for the daily-brief digest pipeline (this project). RSS/API fetchers, pluggable LLM enrichment (default claude CLI on Max; also anthropic/openai/deepseek/minimax API), trading section, HTML rendering, cross-platform scheduler integration (Windows Task Scheduler / macOS launchd / Linux cron). Load when the user asks about running daily / regenerating sections / debugging a failed run / adding or disabling sources / LLM quota / scheduler / why a tab shows wrong data / why a source failed / switching LLM backend. Always prefer the documented npm commands over re-implementing logic. Diagnose by reading logs/daily-*.log first, then logs/llm-calls.jsonl for LLM-side issues.
deal-investigator
Produce a structured deal review for a single opportunity. Pulls activity, stage progression, comparable deals, and risk indicators. Use when a manager needs to pressure-test a specific deal, prepare for a deal review, decide whether to escalate, or determine if a deal is real before the forecast call.
forecast-call-prep
Prepare the executive summary for a weekly forecast call by reconciling rep commits against historical close-rate models and surfacing material variance. Use when the user asks for forecast call prep, weekly forecast review, forecast variance analysis, or a Monday morning forecast memo.
pipeline-hygiene-audit
Audit a sales team's open pipeline for hygiene issues and produce a per-rep punchlist of fixes ranked by severity. Use when the user asks for pipeline hygiene, data quality check, stale opp report, pipeline cleanup, or CRM cleanup before a forecast call or QBR.
salesforce-revops-audit
Run a comprehensive Salesforce RevOps health audit across five dimensions (pipeline health, data quality, forecast hygiene, deal integrity, process integrity) and produce a graded report (A through F) with a prioritized remediation queue. Use as the entry point for any new Salesforce org assessment, before a new RevOps leader's first forecast call, before a QBR cycle, or quarterly as a recurring health check. The audit recommends which remediation skills to run next.
image-generation
AI image prompt engineering and generation workflow. Use when user asks to generate, create, edit, or refine images. Triggers on: 이미지 만들어줘, 그림 생성해줘, 이미지 그려줘, 썸네일 만들어, 로고 만들어줘, 이미지 수정해줘, 사진 편집해줘, 아까 만든 거 수정, 색감 바꿔줘, image generate, create image, edit image, modify image, refine image.
find-angles
Turn a vague research topic or question into a tree of distinct research directions — each with concrete sub-angles, keywords, and ready-to-run academic search queries — so a researcher who has a topic but doesn't know where to focus gets a map of the field's real, separate lines of work. Use this skill WHENEVER the user has a topic and wants to scope or narrow it: "I want to research X but don't know the angle", "help me find research directions / angles / sub-topics for my thesis on ...", "narrow down this topic", "what are the different ways to approach ...", "give me a research question on ...", "break this topic into directions", or pastes a broad area and asks where to focus. Trigger even when the tool isn't named. Every direction stays anchored to the user's own vocabulary (no drifting into unrelated fields) and ships a search query you can paste straight into a database or the paper-search skill. Pure reasoning — no scripts, no web access.
paper-review
Simulate a full academic peer-review panel on a draft — examine a manuscript through five independent review lenses (significance, rigor & validity, evidence, argument, clarity), with the methodological criteria adapted to the paper type (CONSORT / STROBE / PRISMA / COREQ / Toulmin), a rebuttal round, a moderator, and a chief editor, then deliver a referee letter plus a scored verdict (Accept / Minor / Major Revision / Reject). Use this skill WHENEVER the user wants critical feedback on their own academic writing: "review my paper / essay / thesis chapter", "give me peer review on this draft", "is this ready to submit?", "what would a reviewer say about my manuscript", "critique my research proposal", or pastes a draft and asks how to improve it. Trigger even when the tool isn't named. Feedback is calibrated to the draft's stage (final / working / sketch / student) so a student essay isn't judged like a journal submission.
synthesis-lab
Write grounded academic and application documents from a set of source papers, with strict citation discipline — every specific claim traces to a real supplied paper and citations are cross-checked against those papers before delivery, not fabricated. Use this skill WHENEVER the user wants to draft scholarly or application writing from sources: a literature review, theoretical framework, research proposal, introduction, discussion, conclusion, abstract, or academic essay — or a personal statement / statement of purpose (PhD, grad, study-abroad application) or résumé/CV. Trigger on phrasing like "help me write the lit review for ...", "draft the discussion section from these papers", "write my statement of purpose", "turn these sources into a research proposal", even when the tool isn't named. The defining value is citation grounding: no invented authors, years, or findings.
api-architect
Design HTTP APIs (REST or GraphQL) from a requirements document — endpoints, resource names, request/response shapes, auth model, pagination, errors, versioning. Produces an OpenAPI 3.1 spec for REST or a typed SDL for GraphQL, plus a one-page design rationale. Use when the user says "design an API for", "plan the endpoints", "give me the API schema for", "REST or GraphQL for this?", or hands over a feature spec and asks for the API surface.
browser-qa
Drive a real browser (Playwright) to validate user flows end-to-end — click buttons, fill forms, assert on rendered output, screenshot the moment a step breaks. Use when the user says "test this flow", "run the e2e tests", "verify the signup works", "qa my app", "does the checkout work", or asks Claude to confirm a UI change actually behaves correctly in a browser. Closes the gap between "code compiles" and "user flow works".
code-auditor
Run a structured review of a diff, file, module, or full codebase. Surfaces correctness bugs, security gaps, performance issues, and maintainability smells with file:line citations and severity rankings. Use when the user says "review this code", "audit this", "find bugs in", "what's wrong with this", "code review", or pastes a diff and asks for feedback. Output is a prioritized punch list, not a wall of nits.
doc-craft
Write documentation that engineers actually read — READMEs that get you running in under 5 minutes, API docs with executable examples, inline JSDoc/TSDoc/docstrings that explain the why. No corporate filler, no "this function does what its name says", no AI-generated cadence. Use when the user says "write a README", "document this", "add docstrings", "write the API docs", "write a CHANGELOG", or hands over a module and asks for docs.
git-flow-pro
Handle git hygiene — write commit messages that explain the why, name branches that match the issue, draft PR descriptions reviewers actually read. Knows Conventional Commits, semantic branch names, and how to break a noisy WIP into clean atomic commits. Use when the user says "commit this", "make a PR", "write the commit message", "draft a PR description", "clean up my branch", "rebase this", or finishes work and wants it shipped.
mcp-forge
Scaffold a production-ready Model Context Protocol (MCP) server from an OpenAPI spec, API reference URL, or pasted endpoint list. Use when the user says "build an MCP server", "wrap this API as MCP", "expose this service to Claude", "create MCP for <service>", or pastes a swagger/OpenAPI JSON and asks Claude to make it callable as tools. Produces a typed TypeScript server, auth handling, retry/backoff, and a one-command install path.
perf-hunter
Find and fix the actual bottleneck — not the one you assume. Profiles before optimizing, measures before and after, refuses to "rewrite for perf" without numbers. Covers React/Vue rendering, bundle size, database query plans, N+1 patterns, memory leaks, and Node.js event-loop lag. Use when the user says "make this faster", "why is this slow", "optimize this", "the page is laggy", "the query is slow", or "this endpoint times out".
refactor-master
Restructure messy code into smaller, more focused pieces — without changing observable behavior. Knows when to extract a function, split a module, replace a conditional with a strategy, pull pure logic out of side-effect-heavy code, and when to do nothing. Use when the user says "refactor this", "clean this up", "this file is too big", "split this module", "make this readable", or hands over a god-class and asks for a rescue plan.
resilience-engineer
Audit and upgrade error handling — replace silent try/catch swallows with typed errors, real recovery logic, retry/backoff, structured logging, and user-facing messages that aren't "Something went wrong". Use when the user says "improve error handling", "add logging", "make this resilient", "why are we losing errors", "this should retry", "audit the error paths", or "we never see anything in Sentry from this service".
schema-architect
Design database schemas, indexes, and migration files. Covers Postgres, MySQL, SQLite, and MongoDB. Catches normalization mistakes, designs index strategy from the query patterns, writes reversible migrations with up/down halves, and flags the foreign-key + cascade choices people usually get wrong. Use when the user says "design the schema", "model this data", "create a migration", "what indexes do I need", "is this normalized", or pastes an ER sketch and asks for a real schema.
security-sentinel
Sweep a codebase or diff for the OWASP Top 10 plus the practical adjacent issues (committed secrets, prototype pollution, SSRF, IDOR, deserialization, broken auth flows). Outputs findings with severity, exploit sketch, and the smallest fix. Use when the user says "security audit", "check for vulnerabilities", "is this safe to ship", "do a security review", "find security issues", or before a release that touches auth, payments, or PII.
ship-it
Set up or fix a deploy pipeline. Picks a platform that fits the app, writes the config (Dockerfile, vercel.json, railway.toml, fly.toml, GitHub Actions), and ships a first deploy. Knows Vercel, Railway, Fly.io, Render, AWS basics (ECS, Lambda, Amplify), Docker, Kubernetes essentials, and GitHub Actions. Use when the user says "deploy this", "ship it", "set up vercel", "dockerize this", "write the GitHub Actions for deploy", or has working local code that needs to be live.
test-architect
Write unit and integration tests that actually catch bugs — real assertions, real edge cases, real failure modes. Detects the project's framework (Jest, Vitest, Mocha, pytest, Go test) and matches existing conventions. Use when the user says "write tests for", "cover this with tests", "add unit tests", "I need tests for this function", or hands over an untested module. Refuses to write placeholder `expect(true).toBe(true)` tests.
threat-modeler
Build a real threat model for a codebase, service, or feature — before the code review, before the pen test, before launch. Picks the right frame (STRIDE for systems, attack-tree for features, abuser-stories for product flows), works through assets / actors / entry points / trust boundaries via interview + code-read, and produces a structured THREAT_MODEL.md that downstream skills can use to scope a targeted scan. Use when the user says "threat model this", "what's the attack surface", "do a STRIDE analysis", "what could go wrong here", "model the threats", or before any launch touching auth, payments, PII, or multi-tenancy.
type-tightener
Strip `any` (and its cousins `unknown`-without-narrowing, `as` casts, `@ts-ignore`) from a TypeScript codebase. Adds real types where they're missing, enables strict mode safely, and produces a migration plan rather than a Big Bang rewrite. Use when the user says "add types", "remove any", "enable strict mode", "fix the typescript", "tighten the types", or "we have too many `any`s".
ui-polish
Upgrade a generic-looking UI into something a design-conscious team would ship. Enforces a real type scale, an 8-point spacing grid, semantic color tokens, full interaction states (hover/focus/disabled/loading/empty/error), and tasteful motion. Use when the user says "make this look good", "polish the UI", "improve the design", "this looks like AI slop", "make it look professional", or pastes a screenshot and says it looks off.
seo-ai-search-share-of-voice
Measure AI Search share of voice for a target domain versus competitors across ChatGPT, Perplexity, Gemini, Google AI Overview, and AI Mode. Pulls the AIO leaderboard, then samples prompts where each domain appears as a source or brand mention, and analyses topic clusters each brand owns. Use when the user asks for AI Search share of voice, LLM visibility tracking, AEO/GEO analysis, AI Overview competitive analysis, or wants to know which brands LLMs cite in their category.
seo-api
DataForSEO API integration architect for developers. Covers the entire DataForSEO surface — DataForSEO Labs (ranked keywords, keyword ideas/suggestions/related, domain rank overview, competitors, domain/page intersection, subdomains, relevant pages, bulk keyword difficulty, bulk traffic estimation, search intent, historical rank/keyword/SERP data, top searches), SERP (Google + YouTube organic live advanced), Keywords Data (Google Ads search volume, Google Trends, DFS Trends), Backlinks (summary, backlinks, anchors, referring domains/networks, competitors, intersections, bulk metrics, time series), On-Page (instant pages, Lighthouse, content parsing), AI Optimization (LLM mention metrics, ChatGPT scraper, live LLM response, AI keyword data), and Merchant/Business data. For any "how do I…" question about endpoints, parameters, JSON bodies, per-call cost, rate limits, or authentication. Produces ready-to-paste cURL / Python / TypeScript / MCP-tool-call recipes against `https://api.dataforseo.com/v3/*` (HTTP Basi
seo-geo
URL-level Generative Engine Optimization (GEO) analysis. For a specific URL, pulls AI Overview citation data scoped to the URL's primary keywords, identifies which AIO queries cite the URL vs which don't but should, and recommends page-level changes that improve LLM citability. Distinct from `seo-ai-search-share-of-voice` (domain-level, brand vs brand) — this is one URL, deeper. Use when the user asks "GEO for this page", "AIO citation analysis", "AI search readiness for URL", "why isn't this page cited", or "improve LLM citations".
api-vs-selfhost-skill
Decide API-vs-self-host LLM economics and fine-tuning ROI from any user context (code, PRDs, traffic logs, billing screenshots). Fetches live GPU prices from Runpod/Lambda/Modal, API prices from models.dev or vendor pages, and quality rank from lmarena.ai, then calls a deterministic local Python script for VRAM, billed-hours, and capex math. Use when the user asks "should I self-host", "API vs self-host", "fine-tune cost", "fine-tuning ROI", "what GPU do I need for <model>", "OpenAI bill too high", or pastes a billing screenshot / PRD comparing closed APIs to open-weight models.
api-architect
Design HTTP APIs (REST or GraphQL) from a requirements document — endpoints, resource names, request/response shapes, auth model, pagination, errors, versioning. Produces an OpenAPI 3.1 spec for REST or a typed SDL for GraphQL, plus a one-page design rationale. Use when the user says "design an API for", "plan the endpoints", "give me the API schema for", "REST or GraphQL for this?", or hands over a feature spec and asks for the API surface.
browser-qa
Drive a real browser (Playwright) to validate user flows end-to-end — click buttons, fill forms, assert on rendered output, screenshot the moment a step breaks. Use when the user says "test this flow", "run the e2e tests", "verify the signup works", "qa my app", "does the checkout work", or asks Claude to confirm a UI change actually behaves correctly in a browser. Closes the gap between "code compiles" and "user flow works".
code-auditor
Run a structured review of a diff, file, module, or full codebase. Surfaces correctness bugs, security gaps, performance issues, and maintainability smells with file:line citations and severity rankings. Use when the user says "review this code", "audit this", "find bugs in", "what's wrong with this", "code review", or pastes a diff and asks for feedback. Output is a prioritized punch list, not a wall of nits.
doc-craft
Write documentation that engineers actually read — READMEs that get you running in under 5 minutes, API docs with executable examples, inline JSDoc/TSDoc/docstrings that explain the why. No corporate filler, no "this function does what its name says", no AI-generated cadence. Use when the user says "write a README", "document this", "add docstrings", "write the API docs", "write a CHANGELOG", or hands over a module and asks for docs.
git-flow-pro
Handle git hygiene — write commit messages that explain the why, name branches that match the issue, draft PR descriptions reviewers actually read. Knows Conventional Commits, semantic branch names, and how to break a noisy WIP into clean atomic commits. Use when the user says "commit this", "make a PR", "write the commit message", "draft a PR description", "clean up my branch", "rebase this", or finishes work and wants it shipped.
mcp-forge
Scaffold a production-ready Model Context Protocol (MCP) server from an OpenAPI spec, API reference URL, or pasted endpoint list. Use when the user says "build an MCP server", "wrap this API as MCP", "expose this service to Claude", "create MCP for <service>", or pastes a swagger/OpenAPI JSON and asks Claude to make it callable as tools. Produces a typed TypeScript server, auth handling, retry/backoff, and a one-command install path.
perf-hunter
Find and fix the actual bottleneck — not the one you assume. Profiles before optimizing, measures before and after, refuses to "rewrite for perf" without numbers. Covers React/Vue rendering, bundle size, database query plans, N+1 patterns, memory leaks, and Node.js event-loop lag. Use when the user says "make this faster", "why is this slow", "optimize this", "the page is laggy", "the query is slow", or "this endpoint times out".
refactor-master
Restructure messy code into smaller, more focused pieces — without changing observable behavior. Knows when to extract a function, split a module, replace a conditional with a strategy, pull pure logic out of side-effect-heavy code, and when to do nothing. Use when the user says "refactor this", "clean this up", "this file is too big", "split this module", "make this readable", or hands over a god-class and asks for a rescue plan.
resilience-engineer
Audit and upgrade error handling — replace silent try/catch swallows with typed errors, real recovery logic, retry/backoff, structured logging, and user-facing messages that aren't "Something went wrong". Use when the user says "improve error handling", "add logging", "make this resilient", "why are we losing errors", "this should retry", "audit the error paths", or "we never see anything in Sentry from this service".
schema-architect
Design database schemas, indexes, and migration files. Covers Postgres, MySQL, SQLite, and MongoDB. Catches normalization mistakes, designs index strategy from the query patterns, writes reversible migrations with up/down halves, and flags the foreign-key + cascade choices people usually get wrong. Use when the user says "design the schema", "model this data", "create a migration", "what indexes do I need", "is this normalized", or pastes an ER sketch and asks for a real schema.
security-sentinel
Sweep a codebase or diff for the OWASP Top 10 plus the practical adjacent issues (committed secrets, prototype pollution, SSRF, IDOR, deserialization, broken auth flows). Outputs findings with severity, exploit sketch, and the smallest fix. Use when the user says "security audit", "check for vulnerabilities", "is this safe to ship", "do a security review", "find security issues", or before a release that touches auth, payments, or PII.
ship-it
Set up or fix a deploy pipeline. Picks a platform that fits the app, writes the config (Dockerfile, vercel.json, railway.toml, fly.toml, GitHub Actions), and ships a first deploy. Knows Vercel, Railway, Fly.io, Render, AWS basics (ECS, Lambda, Amplify), Docker, Kubernetes essentials, and GitHub Actions. Use when the user says "deploy this", "ship it", "set up vercel", "dockerize this", "write the GitHub Actions for deploy", or has working local code that needs to be live.
test-architect
Write unit and integration tests that actually catch bugs — real assertions, real edge cases, real failure modes. Detects the project's framework (Jest, Vitest, Mocha, pytest, Go test) and matches existing conventions. Use when the user says "write tests for", "cover this with tests", "add unit tests", "I need tests for this function", or hands over an untested module. Refuses to write placeholder `expect(true).toBe(true)` tests.
type-tightener
Strip `any` (and its cousins `unknown`-without-narrowing, `as` casts, `@ts-ignore`) from a TypeScript codebase. Adds real types where they're missing, enables strict mode safely, and produces a migration plan rather than a Big Bang rewrite. Use when the user says "add types", "remove any", "enable strict mode", "fix the typescript", "tighten the types", or "we have too many `any`s".
ui-polish
Upgrade a generic-looking UI into something a design-conscious team would ship. Enforces a real type scale, an 8-point spacing grid, semantic color tokens, full interaction states (hover/focus/disabled/loading/empty/error), and tasteful motion. Use when the user says "make this look good", "polish the UI", "improve the design", "this looks like AI slop", "make it look professional", or pastes a screenshot and says it looks off.
hippoagent-validate-claim
Before asserting any verifiable factual claim (year/number/attribution/citation/date), call `hippo_validate_claim(claim)` to check it against persistent memory. Triggers when about to say things like "X was born in YEAR", "Y won the Nobel in YEAR", "Z released VERSION in MONTH", "W said EXACT_QUOTE", "this library/paper/repo is from ORG", or any other claim containing a Capitalized name + a specific year/number/version/org. The tool returns verdict ∈ {supported, contradicted, unknown} + an advice string in Italian (e.g. "in memoria 1987 (fact f_id), NON 2014 — controlla prima di affermare"). If verdict=contradicted, STOP and re-read the evidence_facts; do NOT assert the claim verbatim. If verdict=unknown, hedge ("non ricordo con certezza", "credo ma verifica"). If verdict=supported, proceed. Zero LLM cost (deterministic, sub-100ms). Anti-confabulation gate — born from live confabulations 2026-05-14 (Tonegawa Nobel 1987→2014, Anthropic Skills Oct 2025→Oct 2026, LightRAG HKUDS→HKUST).
adding-schema-markup
Use when adding JSON-LD structured data to a page — Article, BlogPosting, Product, FAQPage, HowTo, BreadcrumbList, Organization, WebSite, TouristTrip. Picks the right schema type for the page, populates required + key recommended fields from the actual content, validates against schema.org, and ships in a single PR. Triggers on "add schema", "add JSON-LD", "structured data", "rich results", "FAQ schema", "Article schema", "Product schema", "BreadcrumbList", "schema markup for [page]", or any time per-page schema is being added or audited.
auditing-technical-seo
Use when running a technical SEO audit, debugging Core Web Vitals regressions, checking indexability, validating schema and sitemaps, diagnosing why a site isn't ranking, or preparing a site for AI-search visibility (GPTBot, ClaudeBot, PerplexityBot). Covers crawlability, indexability, rendering, Core Web Vitals, schema, AI-search readiness, mobile, security, and meta basics. Lifecycle-aware — pre-launch, growth, mature. Produces a prioritized SEO_AUDIT.md and a low-risk fix PR.
building-eeat-and-authority
Use when building Google E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals, writing author bios, planning thought-leadership SEO, hardening trust on YMYL (Your Money Your Life) content, getting cited as an authority by AI engines, or building a long-term authority moat from zero. Triggers on phrases like "E-E-A-T", "author bios", "build authority", "thought leadership SEO", "Google trust signals", "YMYL", "how to get cited as an authority". Long-game skill — invest 6+ months before you need it.
optimizing-for-generative-engines
Use when optimizing content for AI search ("GEO"), getting cited in ChatGPT, Claude, Perplexity, or Gemini, ranking in Google AI Overviews, making a page LLM-citable, defending against AI-citation decay, or running an "AI SEO" pass on existing content. Triggers on phrases like "optimize for AI search", "GEO", "get cited in ChatGPT", "Perplexity ranking", "AI Overview optimization", "make this LLM-citable", "AI SEO". Cross-cuts the content lifecycle — fires per-page on growth content, becomes critical on mature pages for citation defense.
refreshing-stale-content
Use when content is losing traffic, dropping in rankings, or showing decay signals in Google Search Console — impressions down >20% YoY, position sliding, CTR rotting, or LLM citations falling. Auto-triggers on phrases like "refresh this content", "fix the decay", "traffic is dropping on /blog/X", "update old post", "content refresh". Pairs with gsc-mcp for decay detection and opens a single PR with updated copy, schema (dateModified), internal links, and an IndexNow ping. Mature-phase only — page must have >6 months of GSC data.
researching-keywords-pre-launch
Use when starting keyword research for a brand-new site with no Google Search Console history yet — pre-launch, just-launched, or first 90 days. Covers cold-start discovery via Google autocomplete / People Also Ask / related searches, Google Trends, Reddit/HN/Indie Hackers demand mining, competitor SERP overlap, and AI-search query patterns. Produces a clustered KEYWORD_MAP.md to seed the first content slate. Auto-triggers on "what should I write about", "keyword research from scratch", "no GSC data yet", "cold start SEO", "what keywords should I target", "pre-launch keyword research", "topic ideas for new site".
seo-bootstrap
Use on day 1 of a project to ship sitemap, robots.txt, OG image, and JSON-LD schema in a single PR. Auto-detects Next.js, Astro, or SvelteKit, audits what's already there, and only generates what's missing. Triggers on "set up SEO", "SEO bootstrap", "configure SEO", "add sitemap", "add robots.txt", "make my site SEO-ready", or "I just shipped a site, help me with SEO."
finding-underserved-keywords
Use when optimizing existing pages for SEO, hunting low-hanging keyword opportunities, analyzing pages that get impressions in Google Search Console but few clicks, or planning a content refresh. Covers the full content lifecycle (initial → growth → mature) and integrates with Generative Engine Optimization (GEO) for AI-search visibility. Applies to any site with GSC access.
setting-up-seo-measurement
Use when bootstrapping SEO measurement on a new or existing site — verifying Google Search Console, submitting a sitemap, wiring GA4 or Plausible analytics, enabling Bing Webmaster Tools, or laying groundwork for AI-citation (GEO) tracking. Triggers on "set up Google Search Console", "verify domain", "submit sitemap", "GA4 setup", "measure SEO", "track AI citations", "connect GSC". Pairs with `/seo-setup` (credentials) and runs once at site bootstrap; every other skill in this plugin assumes GSC is already streaming data.
context-bridge-dispatch
DEPRECATED — merged into agent-composer Step 3-a (2026-06-02). Context Card injection (N≤2 standard / N≥3 Registry mode) + coordination-overhead budget + Focus Mode are now part of agent-composer Step 3. Invoke /agent-composer for parallel dispatch.
source-grounding-audit
RENAMED to phantom-quench (2026-06-06, quench-series rebrand). Same skill, same ruleset — only the label changed to fit the quench family (steel-quench · phantom-quench · goal-quench). Use /phantom-quench. This alias is retained so old references and the v1 paper's name still resolve.
frontend-ui-ux
Designer-turned-developer who crafts stunning UI/UX even without design mockups
refactor
Intelligent refactor command. Triggers: refactor, refactoring, cleanup, restructure, extract, simplify, modernize.
review-work
Post-implementation review orchestrator. Launches 5 parallel background sub-agents: Oracle (goal/constraint verification), Oracle (code quality), Oracle (security), unspecified-high (hands-on QA execution), unspecified-high (context mining from GitHub/git/Slack/Notion). All must pass for review to pass. MUST USE after completing any significant implementation work. Triggers: 'review work', 'review my work', 'review changes', 'QA my work', 'verify implementation', 'check my work', 'validate changes', 'post-implementation review'.
api-contract-reviewer
Review Supabase RPC/PostgREST API contracts for DTO correctness, response consistency, validation quality, and backward-compatibility risk. Use when changing libs/api/*, shared response types, or API-facing behavior.
database-schema-reviewer
Review PostgreSQL schema design for integrity, performance, and migration safety. Use when modifying supabase/migrations/* or supabase/functions/*.
grasp-ooad-review
Review design decisions using GRASP, OOAD responsibility assignment, and standard refactoring rules. Use when code placement, object responsibility, coupling, cohesion, or refactoring direction is unclear.
security-reviewer
Review LenserFight security for selected modules or scopes using architecture-aware, low-coupling, high-cohesion rules. Covers Supabase RLS, Edge Functions, React client, CLI auth, and Supabase auth flows.
test-manager
Review and improve automated tests for NestJS modules, contracts, and critical flows. Use when changing services, controllers, guards, repositories, billing, wallet, execution, or auth behavior.
ui-contract-guard
Guard shared UI contracts across web and mobile in lenserfight. Use when editing libs/ui, shared components, design tokens, hooks, or platform-specific entrypoints such as index.ts and index.native.ts.
llm-prompting-bestpractice
外部 LLM サービス (Anthropic Claude, OpenAI GPT, Edison Scientific Kosmos, Elicit, Perplexity 等) に投入するプロンプトを 3 ベンダー統合 best practice で設計・最適化する。XML タグ構造化・5 コンポーネント (role/task/context/format/constraints)・outcome-first 指示・Kosmos 用 single-objective 設計・Anti-pattern 検査を整合的に適用する。Triggers on: プロンプト最適化, prompt optimization, prompt engineering, Kosmos プロンプト, Edison プロンプト, GPT プロンプト, Claude プロンプト, XML タグ, prompt 設計, prompt review, 外部 LLM 投入, /LLM-prompting-bestpractice
archetype-writer
MANDATORY for writing or rewriting any human-readable prose, not code: copy, headlines, posts, UI strings, emails, errors. Voice via Jungian archetypes, channel-tuned, at a CEFR reading level.
briefing-room
Use when the user brings messy, layered, scattered, overloaded, or ambiguous context and asks to organize it into a brief. Trigger on notes, transcripts, research dumps, meeting context, strategy thoughts, emails, Slack threads, customer feedback, planning fragments, personal context, or requests like "make sense of this," "structure this," "what matters here," "clean this up," "prepare this for Ground Truth," or "prepare this for The Quorum."
ground-truth
Activates ground-truth mode -- a critical thinking partner with hard anti-sycophancy rules. Use whenever someone shares a plan, idea, decision, interpretation, or work product and might be seeking validation instead of honest assessment. Trigger on any of: "what do you think," "does this make sense," "is this a good idea," "review this," "am I missing something," "how does this look," "does this hold up," "should I do X" -- or any context where agreement would be the path of least resistance. Default mode is calibrated honesty, not pushback for its own sake. This skill is the advisor who will actually tell you the truth.
the-quorum
Convene a five-member expert council to pressure-test a decision. Each member reasons independently, then challenges the others in anonymous peer review, and a chairman synthesizes a calibrated recommendation with a pre-mortem and next step — delivered as an interactive HTML dashboard. Use this whenever the user is weighing a real choice, asks for a "second opinion," wants something "stress-tested," "pressure-tested," "gut-checked," or "from every angle," or types "quorum this" / "council this." Trigger on strategy, hiring, high-stakes or hard-to-reverse decisions, "should I do X," "help me decide between," "talk me out of this," or any moment where one perspective isn't enough — even if the user doesn't name the skill.
ai-model-selector
Quick guidance on choosing AI models (LLM/VLM/Embedding) based on task, VRAM, cost, and quality requirements
hashmob
Let your AI agent interact with Hashmob.net
evolve
Evolutionary search for agent improvement using Mind Evolution. Manages multiple parallel improvement islands via git worktrees, with selection and cross-pollination. Invoke with /evolve, "evolve my agent", "run evolutionary search", "parallel improvement".
ratchet
Autonomous ratchet loop for agent improvement. Configures optimization targets, then loops: improve agent → run agent → eval → keep or revert. Uses the /recursive-improve pipeline internally with auto-approval. Invoke with /ratchet or "run the ratchet loop", "improve my agent overnight", "autonomous improvement".
recursive-improve
End-to-end agent improvement pipeline. Analyzes raw execution traces, extracts insights, manages a skillbook, gathers domain context, defines metrics, builds a rubric, creates a prioritized action plan, presents it for review, and implements approved fixes. Trigger when the user says "improve my agent", "run the improvement pipeline", "apply insights", "/recursive-improve", or when eval/traces/ contains trace files.
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
skill-share
A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team collaboration and skill discovery.
llm-entity-presence
Make a person or brand the answer when Google or an AI assistant (ChatGPT search, Perplexity, Google AI Overviews, Microsoft Copilot, Gemini) is asked "who is X". An interactive, guided wizard: it asks the user for their name, positioning, real proof, products, and socials, then walks them step by step through writing one canonical answer, building a server-rendered entity site with Person/Organization/WebSite/FAQPage JSON-LD and a correct llms.txt, stacking and cross-linking off-site profiles and backlinks, submitting to the search indexes (IndexNow/Bing, Google Search Console), and verifying by querying the LLMs. Triggers: "get my name in LLMs", "show up in ChatGPT", "AI entity SEO", "GEO", "answer engine optimization", "rank my personal brand", "who is me on AI", "make AI recognize my brand", "knowledge panel", "get cited by Perplexity".
paper-review
Simulate a full academic peer-review panel on a draft — examine a manuscript through five independent review lenses (significance, rigor & validity, evidence, argument, clarity), with the methodological criteria adapted to the paper type (CONSORT / STROBE / PRISMA / COREQ / Toulmin), a rebuttal round, a moderator, and a chief editor, then deliver a referee letter plus a scored verdict (Accept / Minor / Major Revision / Reject). Use this skill WHENEVER the user wants critical feedback on their own academic writing: "review my paper / essay / thesis chapter", "give me peer review on this draft", "is this ready to submit?", "what would a reviewer say about my manuscript", "critique my research proposal", or pastes a draft and asks how to improve it. Trigger even when the tool isn't named. Feedback is calibrated to the draft's stage (final / working / sketch / student) so a student essay isn't judged like a journal submission.
paper-search
Find academic papers and read them — searches real scholarly databases for prior work on a topic, then resolves and deep-reads the open-access PDF of any paper you pick. Use this skill WHENEVER the user wants to discover literature or read a study: "find recent papers on X", "what does the research say about Y", "find sources for my thesis on Z", "search for prior work on ...", or "summarise / read / extract the findings from this paper / this arXiv id / this DOI / this PDF". Trigger even when the tool isn't named. Results are real papers from public APIs (OpenAlex, Crossref, arXiv, Semantic Scholar, Europe PMC) and reading reports use only the actual extracted PDF text — nothing is fabricated.
synthesis-lab
Write grounded academic and application documents from a set of source papers, with strict citation discipline — every specific claim traces to a real supplied paper and citations are cross-checked against those papers before delivery, not fabricated. Use this skill WHENEVER the user wants to draft scholarly or application writing from sources: a literature review, theoretical framework, research proposal, introduction, discussion, conclusion, abstract, or academic essay — or a personal statement / statement of purpose (PhD, grad, study-abroad application) or résumé/CV. Trigger on phrasing like "help me write the lit review for ...", "draft the discussion section from these papers", "write my statement of purpose", "turn these sources into a research proposal", even when the tool isn't named. The defining value is citation grounding: no invented authors, years, or findings.
pm-red-team
Adversarially re-review a PM artifact, recommendation, or AI-generated critique that already exists. Use as a second pass after another skill (pm-evaluator, pm-prd-drafter, pm-decision-coach, pm-value-hypothesis-tester) has produced output, or on any external AI output the user wants pressure-tested before deferring to it. Plays the role of a hostile exec, skeptical board member, or competing PM — looking for what the first pass missed, what bias it brought, and what would not survive a real review. Returns the three load-bearing holes, what's already strong enough to keep, and the specific re-writes that would close the gaps.
browse-emails-to-find-opportunites
Read personal emails from 3 platforms HARO, MentionMatch & Qwoted to find relevant opportunities for TrueProfit
generate-reponse-emails-to-reporters
Generate concise, reporter-ready email replies for PR opportunities, especially HARO, MentionMatch, Qwoted, or similar requests. Use when Codex needs to draft, refine, summarize, or create a response email from reporter questions, source notes, brand references, TrueProfit articles, customer examples, or expert quotes.
trueprofit-guest-post
Generates guest post content for TrueProfit to be inserted into a partner's page. Use this skill whenever the user wants to write a TrueProfit section, blurb, heading entry, or any content placement for a link exchange partner's article or blog. Triggers include: 'write a section for X', 'generate guest post for Y', 'create content for our partner', 'write a TrueProfit blurb for Z's page', 'draft content for link exchange'.
multi-model-router
Use when user requests a task that could be routed to a different AI model via an OpenAI-compatible gateway (a single API key giving access to multiple models like Claude/GPT/DeepSeek/Kimi/Qwen). Triggers include audio/video transcription, TTS, PDF→md conversion, OCR, batch text processing, multi-model comparison, or any mention of "用千问/deepseek/kimi/gpt", "用哪个模型最好". The skill identifies the task, recommends a model with rationale, confirms with AskUserQuestion, and invokes via Bash + curl. Skip when user has explicitly named a model and said "直接干"/"不用问"/"just do it".
deliberato
Skill in italiano per decisioni strategiche complesse. Council di advisor AI specializzati, peer review anonima, sintesi del chairman. Per founder, manager e professionisti italiani. Due velocità: Full Council (5 advisor + peer review) e Fast Council (3 advisor, risposta rapida). TRIGGER FULL COUNCIL: "delibera questa decisione", "convoca il council", "council questa decisione", "fai partire il council", "passa al council", "delibera questa scelta", "metti alla prova questa decisione", "stresstest questa scelta", "demolisci questa idea", "trova i buchi in questo piano". TRIGGER FAST COUNCIL: "check questa decisione", "parere rapido", "analisi rapida", "check rapido", "quick council", "parere veloce". TRIGGER CONTESTUALI (Full Council, solo con decisione reale e trade-off significativi): "devo decidere se X o Y", "non so se conviene Z", "vale la pena W", "mi conviene", "che faccio tra A e B", "sono convinto di fare X ma voglio un contraddittorio", "ho già deciso, dimmi dove sbaglio". NON TRIGGERARE su: domande
alpaca-trading
Work safely in the Trading repository for Alpaca helpers, backtesting, journaling, scheduling, and related PowerShell modules. Prefer additive changes, preserve existing trading logic unless the user asks otherwise, and default to paper-trading-safe guidance.
astrophotography-processing
Router for astrophotography processing, troubleshooting, and safe workflow guidance across deep-sky, narrowband, planetary/lunar/solar, Milky Way landscape, comet, and mosaic data.
blog-post
Write or draft a blog post for Mick's IT blog at mickitblog.blogspot.com. Trigger when Mick asks for a blog post or wants to document a technical solution, project, or finding in post format. Match Mick's writing style with plain first-person prose, practical focus, honest status notes, code blocks where relevant, and GitHub links when applicable.
blog-to-social
Convert a finished blog post into three ready-to-post social media versions in one pass for Facebook, X, and LinkedIn. Always trigger immediately when the user's message starts with "bts". Also trigger on "blog to social", "social posts for this", "promote this post", or when the user pastes or links a blog post and asks to share it, promote it, or turn it into social content.
container-home
Answer questions, assist with planning, and help with design decisions for Mick's off-grid shipping container lake home project. Trigger when the user mentions the container home, lake home, Stewart County, LBL, the expansion, solar system, septic permitting, or retirement property.
crypto-listings
Retrieve new cryptocurrency listings from the past 7 days and upcoming listings in the next 7 days across major exchanges. Always trigger immediately when the user's message starts with "cl" or says "crypto listings", "new crypto", "new coins", "upcoming listings", or asks what cryptos just launched or are launching soon. Always verify current listings data before responding; never answer from memory.
crypto-research
Deep-dive research report on a specific cryptocurrency before trading or investing. Always trigger immediately when the user's message starts with "cr" followed by a coin name or ticker. Also trigger on "research [coin]", "due diligence [coin]", "is [coin] worth buying", or any request for a structured breakdown of a specific crypto asset. Always verify current market, team, tokenomics, and project facts before responding; never answer from memory.
facebook-post
Write and polish Facebook posts on any topic. Trigger on requests to draft, rewrite, polish, improve a Facebook post, or create cross-platform Facebook, X, and LinkedIn bundles, especially when the user starts with `fbp`.
facebook-reply
Write replies to Facebook comments on Mick's posts. Trigger on requests to reply to a Facebook comment, especially when the user starts with `fbr`.
fitness-log
Track workouts, log fitness progress, adjust the training program, and generate Facebook posts from workout data. Trigger on workout logging, PR updates, program questions, and fitness progress summaries.
fitness-programming
Build structured training plans, progression blocks, and goal-specific fitness programming for Mick. Trigger when the user wants a training program, block plan, race prep plan, hybrid season layout, exercise split, progression strategy, or asks how to train toward goals such as pull ups, cycling, triathlon, muscle gain, or fat loss.
food-analyzer
Analyze food photos, nutrition labels, and ingredient lists. Trigger on food images, nutrition label scans, macro questions, glycemic questions, medication interaction checks, and similar food-analysis requests.
github-social-preview
Generates a professional GitHub repository social preview image sized 1280x640 pixels as a JPG under 1 MB. Always trigger immediately when the user's message starts with "gsp". Also trigger on "generate github social preview", "create repo preview image", or any request to generate a social preview or OG image for a GitHub repository.
linkedin-post
Write LinkedIn posts for Mick Pletcher's professional audience. Always trigger immediately when Mick says "linkedin post", "lnp", or asks to write something for LinkedIn. LinkedIn audience is professional IT, AI, and automation peers. Tone is more polished than Facebook but still first-person and direct. No emojis. Avoid em dashes in final LinkedIn post output. 2 to 3 hashtags max. Focus on home AI infrastructure, algorithmic trading, enterprise automation, career insights, and tech commentary.
market-brief
Generate a current morning market brief for Mick's equity, macro, and crypto watchlist. Trigger immediately when the user starts with "mb" or asks for a market brief, morning brief, market update, pre-market summary, market open summary, or asks what the market is doing. Always verify live prices, market session context, and news before answering. Never use memory for prices, levels, market status, or headlines.
med-vault
Securely track medications, supplements, interactions, and schedules using manual entry or uploaded prescription label images.
n8n-workflow
Design, build, or troubleshoot n8n automation workflows. Always trigger immediately when Mick mentions n8n, workflow nodes, automating a pipeline, or connecting services via n8n. Covers node selection, webhook patterns, Claude API integration, credential setup, Cloudflare Tunnel exposure, and Proxmox LXC deployment. Mick runs n8n on Proxmox CT 104 at 192.168.0.81:5678 with Cloudflare Tunnel for HTTPS.
obsidian-workout-export
Export workout data to an Obsidian-formatted Markdown file. Always trigger immediately when the user types "owd". Also trigger on "export workout", "obsidian workout", "save workout to obsidian", or related requests to export workout data into Obsidian. Read the current conversation first before searching prior conversation history. Name the file after the date of the chat that contains the workout data.
patentforge-provisional
Use this skill when the user wants to turn an invention idea into a structured invention disclosure, prior art search strategy, claim candidates, and provisional patent draft package. This skill is for patent drafting assistance only and must not provide legal advice or guarantee patentability.
photo-rename
Rename photos using image analysis, GPS metadata, and web research to generate descriptive real-world filenames such as "grand_canyon_phantom_ranch.jpg" or "eiffel_tower_paris.jpg". Trigger immediately when the user's message starts with "rp", or when they upload photos and ask to rename, identify, or label them by location or content. Supports batch processing.
pihole-blocklist
Evaluate, categorize, and document new Pi-hole blocklist sources for the curated blocklist repository. Always trigger immediately when the user asks about adding, evaluating, or researching a new Pi-hole blocklist source, or uses phrases like "should I add this list", "evaluate this blocklist", "add to pihole", "new blocklist", "is this a good list", or pastes a raw blocklist URL. Also trigger when the user wants to review existing sources, update the repo README, check for list overlap, or document a new category. Pre-loaded with the full category taxonomy and evaluation criteria so every new addition is consistent with the existing curation standard.
pihole-csv-analyzer
Analyze CSV exports from Pi-hole such as query logs, top domains, top clients, or adlist exports and produce actionable recommendations. Trigger immediately when the user uploads or mentions a Pi-hole CSV file, types "pihole" or "ph analyze", or asks to analyze DNS query data, blocklist hits, or Pi-hole exports. Produce an in-chat analysis plus candidate blocklist and allowlist outputs for review.
powershell-refactor
Refactor existing PowerShell scripts to simplify flow, reduce duplication, standardize naming and structure, and tighten behavior without changing the intended outcome.
proxmox-lxc
Deploy and configure Proxmox LXC containers for self-hosted services. Always trigger immediately when Mick asks to deploy, set up, or configure a new service on Proxmox, mentions spinning up a container, or needs a systemd service, Cloudflare Tunnel entry, or UniFi static IP assignment. Generate the full stack including the pct create command, container config, apt setup, systemd unit file, and Cloudflare Tunnel config entry from a service name and IP.
resume-writer
Rewrite and enhance resumes using a persistent library of principles harvested from real recruiters, hiring managers, and HR professionals. Always trigger immediately when the user's message starts with "rw". Also trigger on "resume writer", "rewrite my resume", "enhance my resume", "fix my resume", "review my resume", or any request to improve, audit, or critique a resume. Also trigger when the user pastes a recruiter or hiring manager post (LinkedIn, blog, Reddit) and says "add to my library", "add insight", "rw add", or indicates they want to capture it as a resume principle. Also trigger on "two page", "two-page", "trim to two pages", "fit on two pages", "two page audit", or "page trim" to run the two-page audit mode. Handles paste, .docx, .pdf, and screenshot inputs. Produces a full rewrite plus a condensed audit by default, with full forensic line by line audit only when requested. General-purpose skill that works for any user's resume, not just the skill owner.
spec-writer
Generate numbered repo spec folders with clear requirements, implementation plans, and task lists for non-trivial project work.
travel-itinerary
Plan, format, and export travel itineraries as Obsidian-formatted Markdown files. Always trigger immediately when the user's message starts with "trip" or "itinerary". Also trigger when the user says "plan my trip", "build my itinerary", "travel plan", "export my trip", "format this itinerary", or describes an upcoming trip and asks Claude to organize it. Produces a day-by-day breakdown, logistics summary, packing list, and budget tracker in a single Obsidian-ready .md file.
travel-planning
Plan trips, build itineraries, research destinations, estimate budgets, and organize logistics for Mick's travel. Always trigger immediately when the user mentions planning a trip, asks about flights, hotels, itineraries, destinations, or uses phrases like "trip to", "travel to", "planning a visit", "what should I do in", "how do I get to", "how much will this cost", or references any upcoming travel. Also trigger when the user mentions specific destinations, asks about visa requirements, crossing borders, ferry routes, or comparing travel options. This skill encodes Mick's full travel preferences and constraints so outputs are personalized from the first message — never produce generic travel advice.
travel-research
Research and compare destinations with deeper scoring across budget, climate, logistics, activity fit, and seasonal tradeoffs before moving into full trip planning.
trip-email-html-itinerary
Extract trip logistics from pasted travel emails, booking confirmations, forwarded messages, reservation notes, or raw itinerary text and generate one polished, self-contained offline HTML itinerary file for sharing with family or other travelers. Trigger when the user asks to turn trip emails into an HTML itinerary, travel handoff page, shareable trip page, family trip summary, booking-reference page, or offline travel document.
website-content
Write or update content for Mick Pletcher's personal website. Trigger when Mick asks to write, rewrite, or update any section of his personal site including About, Projects, Skills, Blog integration, AI and homelab showcase, health and sports, contact copy, landing page sections, SEO descriptions, or project writeups. Tone is polished and professional, closer to LinkedIn than the blog, but still first-person and direct. Avoid corporate-speak. No emojis. Avoid em dashes in final website copy.
x-post
Write posts for X on tech, PowerShell, IT automation, and fitness topics. Always trigger immediately when the user's message starts with "xp". Produce a single post within 280 characters, no emojis, avoid em dashes in final X post output, and use 2 to 3 hashtags maximum.
x-reply
Write replies to replies on X. Always trigger immediately when the user's message starts with "xr". Take the original post and the reply being responded to, generate a single response within 280 characters, use no emojis, avoid em dashes in final X reply output, and only use hashtags when they fit naturally.
forced-holding-screen
Analyze an investment portfolio for FORCED exposure to specific stocks via index-fund inclusion — especially upcoming or recent IPOs like SpaceX, Anthropic, or OpenAI. Use when someone wants to know which of their ETFs/index funds already hold (or will soon be forced to hold) a given company, whether they're exposed to an IPO through their funds, how to avoid being forced into a stock while keeping similar market exposure, what "clean" alternative funds cover the same segment, or when they paste a list of fund tickers/holdings and ask about exposure or alternatives. Works entirely on de-identified holdings (ticker + description only — no dollar amounts).
anti-slop-checker
Detects AI-sounding phrases and patterns in any text and rewrites them to sound human. Use this skill whenever the user pastes text and asks you to check it for AI tells, make it sound more human, remove AI-speak, de-slop it, or fix robotic writing. Also use when someone says their writing "sounds like ChatGPT" or asks "does this sound AI-generated?" Even if they don't use the word "slop" — if they're worried text sounds artificial, this is the skill.
agency-image-prompt-engineer
Expert photography prompt engineer specializing in crafting detailed, evocative prompts for AI image generation. Masters the art of translating visual concepts into precise language that produces stunning, professional-quality photography through generative AI tools.
deep-dive
Rigorous multi-agent deep-dive analysis for complex investigative tasks — auditing codebases, evaluating trading strategies, validating designs, doing open-ended research. Deploys 4–6 specialist agents in parallel across distinct lanes, then synthesis, then adversarial red-team review, then optional patching — producing structured markdown research files plus a plain-English executive briefing with honest 1–10 confidence ratings. ALWAYS invoke when the user says any of "deep dive", "thorough audit", "rigorous analysis", "comprehensive review", "audit this codebase", "analyze the strategy", "evaluate this design", "review this thoroughly", or "research deep dive". Also invoke proactively for any open-ended investigative task involving a codebase, strategy, system design, or research question that warrants 30+ minutes of structured analysis — even when the user doesn't use these exact phrases.
humanizer-ru
КАТЕГОРИЯ: маркетинг, соцсети, реклама, короткие тексты до 500 слов. Убирает AI-паттерны, добавляет живой голос, ритм, характер. 21 паттерн, быстрая обработка. ИСПОЛЬЗОВАТЬ когда: пост в соцсети, рекламный текст, описание товара/услуги, продающий текст, лендинг, email для клиента, текст для блога в разговорном стиле, нужен живой/яркий/продающий тон, текст короткий и нужно сделать быстро. НЕ ИСПОЛЬЗОВАТЬ для: диссертации, ВКР, научные статьи, деловой переписки, длинных экспертных материалов — там нужен humanizer-ru-pro или ru-academic-editor.
humanizer-ru-pro
КАТЕГОРИЯ: статьи, экспертный контент, деловые тексты, длинные тексты от 500 слов. ДЕФОЛТНЫЙ выбор для любой задачи "сделать текст человечнее" если не указан конкретный тип. 52 паттерна, quad-pass аудит, голосовая калибровка по образцам автора, основан на научных данных (AINL-Eval 2025). ИСПОЛЬЗОВАТЬ когда: статья (Habr, vc.ru, Medium, корпоративный блог), экспертный лонгрид, деловая переписка, email-рассылка, PR-материал, пресс-релиз, резюме, сопроводительное письмо, любой текст >500 слов не академический, нужно убрать AI-следы из профессионального/делового текста, звучит как робот/нейросеть, нужна голосовая калибровка. НЕ ИСПОЛЬЗОВАТЬ для: диссертации, ВКР, научные статьи — там нужен ru-academic-editor.
ru-academic-editor
КАТЕГОРИЯ: академические и научные тексты — диссертации, ВКР, научные статьи, доклады, курсовые, рефераты. Повышает академическое качество текста: ясность аргументации, авторскую позицию, доказательность, логичность, стилистическую нормативность. НЕ добавляет разговорный тон. НЕ обещает прохождение Антиплагиата. ИСПОЛЬЗОВАТЬ когда: диссертация (магистерская/кандидатская/докторская), ВКР, дипломная работа, курсовая, научная статья, тезисы конференции, реферат, академический стиль. НЕ ИСПОЛЬЗОВАТЬ для: блоги, соцсети, маркетинг, деловая переписка, любой неакадемический текст — там нужен humanizer-ru-pro (длинный/деловые) или humanizer-ru (короткий/маркетинг).
nowledge-mem
Search, save, and manage knowledge across all your AI tools through Nowledge Mem.
content-experimentation-best-practices
Content experimentation and A/B testing guidance covering experiment design, hypotheses, metrics, sample size, statistical foundations, CMS-managed variants, and common analysis pitfalls. Use this skill when planning experiments, setting up variants, choosing success metrics, interpreting statistical results, or building experimentation workflows in a CMS or frontend stack.
content-modeling-best-practices
Structured content modeling guidance for schema design, content architecture, content reuse, references versus embedded objects, separation of concerns, and taxonomies across Sanity and other headless CMSes. Use this skill when designing or refactoring content types, deciding field shapes, debating reusable versus nested content, planning omnichannel content models, or reviewing whether a schema is too page-shaped or presentation-driven.
content-experimentation-best-practices
Content experimentation and A/B testing guidance covering experiment design, hypotheses, metrics, sample size, statistical foundations, CMS-managed variants, and common analysis pitfalls. Use this skill when planning experiments, setting up variants, choosing success metrics, interpreting statistical results, or building experimentation workflows in a CMS or frontend stack.
content-modeling-best-practices
Structured content modeling guidance for schema design, content architecture, content reuse, references versus embedded objects, separation of concerns, and taxonomies across Sanity and other headless CMSes. Use this skill when designing or refactoring content types, deciding field shapes, debating reusable versus nested content, planning omnichannel content models, or reviewing whether a schema is too page-shaped or presentation-driven.
content-experimentation-best-practices
Content experimentation and A/B testing guidance covering experiment design, hypotheses, metrics, sample size, statistical foundations, CMS-managed variants, and common analysis pitfalls. Use this skill when planning experiments, setting up variants, choosing success metrics, interpreting statistical results, or building experimentation workflows in a CMS or frontend stack.
content-modeling-best-practices
Structured content modeling guidance for schema design, content architecture, content reuse, references versus embedded objects, separation of concerns, and taxonomies across Sanity and other headless CMSes. Use this skill when designing or refactoring content types, deciding field shapes, debating reusable versus nested content, planning omnichannel content models, or reviewing whether a schema is too page-shaped or presentation-driven.
prompt-engineer
Transform rough prompts/ideas into production-ready LLM prompts. Use when crafting, refining, or optimizing prompts for any AI model (Claude, GPT, Llama, etc.) with advanced techniques like CoT, constitutional AI, RAG optimization.
expo-api-routes
Guidelines for creating API routes in Expo Router with EAS Hosting
openai-agents
Build AI applications with OpenAI Agents SDK - text agents, voice agents, multi-agent handoffs, tools with Zod schemas, guardrails, and streaming. Prevents 11 documented errors. Use when: building agents with tools, voice agents with WebRTC, multi-agent workflows, or troubleshooting MaxTurnsExceededError, tool call failures, reasoning defaults, JSON output leaks.
openai-api
Build with OpenAI stateless APIs - Chat Completions (GPT-5.2, o3), Realtime voice, Batch API (50% savings), Embeddings, DALL-E 3, Whisper, and TTS. Prevents 16 documented errors. Use when: implementing GPT-5 chat, streaming, function calling, embeddings for RAG, or troubleshooting rate limits (429), API errors, TypeScript issues, model name errors.
openai-apps-mcp
Build ChatGPT apps with MCP servers on Cloudflare Workers. Extend ChatGPT with custom tools and interactive widgets (HTML/JS UI). Use when: developing ChatGPT extensions, implementing MCP servers, or troubleshooting CORS, widget 404s, MIME types, ASSETS binding errors, Next.js integration issues, or edge platform limitations.
openai-whisper
Speech-to-text transcription via OpenAI Whisper. Supports two modes — Local CLI (no API key, runs on-device) and Cloud API (fast, scalable, requires OPENAI_API_KEY). Use when the user needs to transcribe audio files, translate speech, or convert audio to text.
tfx-codex
Codex-Only 오케스트레이터. tfx-auto 워크플로우를 Codex 전용으로 고정합니다.
llm-portability-review
ドキュメント・プロンプト・スキル定義が、Claude 以外のLLM（GPT-4o / Gemini / Codex 等）でも意図通りに動作するかを評価する。Claude 固有の解釈・暗黙前提・スタイル依存を検出し、移植耐性を高める改善案を提示する。他LLMへ移植する前に使う。
eval-generator
Generates eval test cases for AI agents from an eval suite plan (output of /eval-suite-planner) or a plain-English agent description. Supports both single-response and conversation (multi-turn) evaluation modes. Outputs a test set table, a CSV file in the Copilot Studio import format (single-response only - used here as the primary worked example; trivially adaptable to any harness that accepts tabular test cases), and a docx report for human review.
eval-suite-planner
Produces a concrete eval suite plan for AI agents - grounded in Microsoft's Eval Scenario Library and MS Learn agent evaluation guidance (Copilot Studio is the primary worked example, but the plan is platform-agnostic and adapts to any agent harness). Outputs scenario types, evaluation methods, quality signals, thresholds, and priority order - before any test cases are generated or evals are run.
eval-triage-and-improvement
Use this skill when AI agent evaluations have come back and the user needs to interpret scores, diagnose root causes of underperforming test cases, find remediation steps, or analyze patterns to improve their agent. Works against any agent platform - Copilot Studio is the primary worked example here, but the triage framework applies equally to custom harnesses, LangChain/LangGraph, AutoGen, Semantic Kernel, OpenAI Assistants, and other agent runtimes. Always use this skill when the user mentions: "eval failed", "why did this fail", "triage", "diagnose failure", "low pass rate", "fix evaluation results", "not passing", "failing test cases", "evaluation results", "improve my eval scores", or any situation where eval scores need interpretation and action.
codex-image
Generate images via Codex CLI's built-in `image_generation` tool (`codex exec`), single or many in parallel. Use when the user wants images from codex, or batch/parallel image generation.
hyper-debug
Use when encountering a test failure, exception, regression, or unexpected behavior — before proposing fixes. Also when the user invokes /hyperclaude:hyper-debug. Forms hypotheses systematically instead of guess-and-check thrashing.
hyper-tdd
Use when about to write or modify behavior-bearing code — functions, business logic, bug fixes — before writing any production code. Also when the user invokes /hyperclaude:hyper-tdd. Forces a failing test first so you watch it fail for the right reason.
whisk-proxy
Generate images with Google Imagen 4 and Nano Banana for free via Flow API. No API key, no paid subscription — just a Google account and Chrome extension. Use when the user asks to generate, create, or make an image, picture, illustration, logo, banner, or avatar. Triggers: generate image, create picture, make illustration, нарисуй, сгенерируй картинку, создай изображение. Do NOT use for image editing, upscaling, background removal, video generation, or non-Google AI models (DALL-E, Midjourney, Stable Diffusion).
availability-inspector
Checks why a rep or team is showing no available slots — diagnoses calendar connectivity, working hours, meeting limits, and distribution membership to find the specific blocker
concierge-debugger
Debugs why a specific lead did not book — traces the concierge routing session, identifies the rule that fired (or why none did), and recommends a targeted fix
distribution-analysis
Analyzes a Chili Piper distribution (round-robin queue) for a workspace and date range — meeting counts by rep, imbalance vs. configured weights, day-of-week and booking-source skew, and cancellation breakdown — using the public Chili Piper MCP. Use when someone asks why a rep is getting more or fewer meetings than others, wants a distribution breakdown, or wants to analyze meeting imbalance for a period.
meeting-inspector
Deep-dives into a single Chili Piper meeting — booking trigger, routing path, rep assignment, and outcome — to diagnose what happened and surface a next action.
no-show-analyzer
Analyzes Chili Piper meeting no-show patterns by trigger type, routing path, rep, or workspace using meeting-list-put and concierge-logs to surface actionable optimization opportunities
org-meeting
Org-wide meeting volume and health snapshot — total booked, completed, no-show, and cancelled by workspace — for weekly or monthly executive reviews of booking capacity and pipeline coverage
routing-audit
Audits all Chili Piper concierge routers for coverage gaps — unmapped lead sources, stale ownership rules, unbalanced distributions, and catch-all overflows — before they show up as lost pipeline
user-copy
Copies a user's Chili Piper workspace and team memberships (and, optionally, product licenses) to a new or existing user — eliminating manual re-configuration when onboarding a rep onto an existing territory or replacing a departing rep
user-details
Pulls a full profile for any Chili Piper user — teams, workspaces, meeting types, scheduling links, and recent meeting activity — for onboarding audits, offboarding checks, and rep-level troubleshooting
user-meetings
Shows all meetings assigned to a specific rep for a period — volume, statuses, and no-show rate — to surface rep-level pipeline health and flag reps who may need coaching or routing changes
user-offboarding
Safely removes a departing Chili Piper rep — surfaces open meetings that need reassignment, removes them from workspaces and teams, and produces an audit trail — making rep offboarding repeatable and zero-leak
clarify
Use when you have a clean spec/notes file that needs to be made implementation-ready: decomposed into atomic tasks with verifiable acceptance criteria (Given/When/Then + shell proof commands), constraints, edge cases, and risk surface. Output is suitable for human implementation, mattpocock:tdd, or Claude Code goal feature. Tradeoff: slow and thorough — overkill for tasks under 1 hour. For freeform PRD use mattpocock:to-prd instead. Triggers: "clarify", "/clarify", "уточни спеку", "enrich spec", "обогати спеку", "decompose spec".
backend-dev
Comprehensive backend development workflow that orchestrates expert analysis, architecture design, implementation, and deployment using the integrated toolset. Handles everything from API design and database architecture to security implementation and DevOps automation.
frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
codex-agent-collaboration
Delegate coding tasks to Codex AI for implementation, analysis, and alternative solutions. Use when you need a second AI perspective, want to explore different approaches, or need specialized Codex capabilities for complex coding tasks.
last30days
Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.
mission-control
Use when Codex should act as the bridge into Mission Control instead of acting like the Manager AI itself.
mission-control-codebase-intake-burst
Use when Mission Control should recommend a read-only codebase intake burst with Repo Mapper, Test Finder, Docs Reader, Risk Scanner, and Dependency Mapper.
mission-control-compiler-autotuning-guidance
Request compiler and autotuning guidance for GPU code through Mission Control with bounded iteration and evidence requirements.
mission-control-cuda-kernel-generation
Route CUDA kernel generation or repair through Mission Control with GPU-aware validation and infrastructure checks.
mission-control-cuda-tile-refactor
Use when CUDA Tile or tile-shaped GPU refactors need Mission Control planning, validation, and benchmark discipline.
mission-control-import
Use when Codex should attach an existing repo or folder to Mission Control and keep the first pass read-only until the user authorizes more.
mission-control-import-codebase
Import or attach an existing codebase into Mission Control. Use when the workspace already contains a repo and Codex should let Mission Control scan, understand, and classify it before edits.
mission-control-install-from-github
Install or repair Mission Control for headless Codex use from a repo checkout or GitHub clone.
mission-control-orchestrate
Use when Codex should route a workspace task through Mission Control instead of acting like the Manager AI.
mission-control-subagent-burst
Recommend or review Mission Control Codex subagent bursts for bounded read-heavy work. Use when the user wants parallel exploration, review, planning, handoff audit, or failure diagnosis without replacing the normal worker system.
api-contract-first
Hard gate before implementing any API endpoint or service interface. Requires a written, reviewed contract (OpenAPI 3.x, protobuf, or GraphQL schema) before any implementation code is written. Prevents breaking changes, misaligned clients, and undocumented behaviour.
data-migration
Hard gate before any database schema change or data transformation in production. Requires a written migration plan with rollback strategy, dry run, and verification steps before execution. Prevents data loss, downtime, and irreversible schema changes.
dispatching-parallel-agents
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies. Dispatches one focused agent per problem domain, runs them concurrently, then integrates.
five-whys
Root cause analysis using the Five Whys technique. Use when a bug persists despite surface fixes, a failure recurs, or a process keeps breaking. Ensures the fix targets the root, not the symptom.
performance-audit
Systematic performance investigation workflow. Use when performance regressions are suspected, before and after optimisation work, or as a pre-release gate for performance-critical features. Produces a baseline, identifies the real bottleneck, and validates improvement with hard numbers.
smart-init
Conversational onboarding for A Team. Detects ROADMAP.md, extracts context, generates INIT.md without requiring technical knowledge. Invoked automatically by the orchestrator when INIT.md is missing.
subagent-driven-development
Use when executing implementation plans with independent tasks in the current session. Dispatches a fresh subagent per task with two-stage review (spec compliance, then code quality).
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior. Enforces root-cause investigation before fixes. The Iron Law — no fixes without understanding why.
test-driven-development
Enforce RED-GREEN-REFACTOR discipline for every implementation task. Use for all new features, bug fixes, and refactors. The core rule — if you didn't watch the test fail, you don't know if it tests the right thing.
using-a-team
The meta-skill. Loaded at every session start. Defines which A Team skills and agents MUST be used for which situations. If a skill or agent applies, you do not have a choice — you must use it.
using-git-worktrees
Create or verify an isolated git worktree before starting any development work. Prevents main branch contamination, enables parallel feature development, and gives subagents a clean baseline. Use at the start of every feature branch.
verification-before-completion
Use before claiming ANY task is complete. Requires you to run actual verification commands, read real output, and confirm it matches expectations — before stating the task is done. Blocks "should work" rationalizations.
writing-plans
Create a detailed, phased implementation plan from an approved spec. Use after brainstorming produces an approved spec. Produces a plan file that executing-plans or subagent-driven-development can consume.
writing-skills
Create new A Team skills using TDD for documentation. Write a bad skill, watch agents fail at the gap, improve, iterate. Use when the team needs a new capability that no existing skill covers.
commit-workflow
Prepare and execute safe two-step Git commits in Codex by drafting a commit message, requesting explicit user approval, and only then committing. Use when the user asks to prepare a commit message, perform a commit, or run a two-step commit workflow. Do not use Claude slash commands or Claude CLI for this workflow.
drupal-sdc-figma-parity
Drupal SDC Figma-to-code pixel-parity workflow using direct Figma MCP tools, with screenshot-gated validation and node-specific capture dimensions.
php-prebuild-quality
Run Drupal 11 pre-build quality gates with dual-source validation (lint, PHPCS, PHPStan, PhpStorm CLI inspections, PHPUnit) in strict, changed-file, module-scoped, theme-scoped, or explicit-path modes.
ansible-playbook-runner
Python, SSH
azure-networking
Configure Azure VNet, NSG, Load Balancer, and network topology.
apps-language-rules
Define i18n and internalization rules for forum (React/i18next) and docs (VitePress locales) apps. Use when adding new UI strings, translating docs, adding new locales, checking language consistency, or setting up hreflang SEO for multilingual pages.
cli-developer
Review, modify, and improve the LenserFight CLI at apps/cli/. Covers citty commands, API client integration, output formatting, TUI, and configuration.
deep-code-reviewer
Perform rigorous, architecture-aware code review focused on subtle correctness bugs, race conditions, performance regressions, type-safety holes, security issues, and maintainability flaws that surface-level review misses. Use when the user asks for comprehensive or deep review, requests design critique, wants edge-case or concurrency analysis, needs production-readiness feedback, or is reviewing critical paths, complex services, transaction handlers, auth flows, infrastructure code, or other high-risk changes.
frontend-profile-access-ux-engineer
Use when implementing the /lenser route, restricted profile shell, lock-state UI, follow request UX, and route-state rendering for public, private, deactivated, and deleted profiles.
github-issue-solver
Read GitHub issues, triage them, solve them using GRASP/OOAD principles, run or add tests, commit, push, open a PR linked to the issue, merge into development, and close the issue only after merge. Use when the user says /github-issue-solver, "solve issue
language-integrator
Add or localize LenserFight for a new language or locale. Use when asked to add, implement, port, or support translations for feature-owned locale bundles in libs/features, the forum app runtime locale controller, docs, or language preference flows.
lenserfight-product-policy-architect
Use when converting ambiguous privacy, follower, deletion, and friendship product requirements into explicit platform policy and state-transition rules.
profile-privacy-social-graph-orchestrator
Use when planning or coordinating implementation of profile privacy, followers/following, restricted profile access, and account lifecycle across frontend, database, and policy layers.
qa-migration-release-engineer
Use when validating schema migrations, privacy regressions, deletion workflows, sign-in cancellation logic, and rollout safety for social graph and profile access changes.
smart-commit
Detect staged and unstaged git changes, classify them by type (feat/fix/refactor/docs/chore/test/style/perf), group into logical commit units, then commit each group separately with user approval. Use when the user wants to commit their current work, wants help writing a commit message, or says /commit or /smart-commit.
social-ranking-relationship-engineer
Use when designing feed, discovery, recommendation, and social-graph ranking rules that depend on follows, mutuals, privacy state, and account lifecycle.
supabase-rls-account-lifecycle-engineer
Use when implementing RLS, account state enforcement, soft deletion, legal retention boundaries, cancellation on login, and pg_cron purge workflows in Supabase/Postgres.
supabase-social-graph-engineer
Use when designing Postgres/Supabase schema, triggers, helper functions, and query patterns for follows, follower requests, mutuals, blocks, counters, and profile access relationships.
lucid
Audit and plan cleanup for agent-facing context debt: stale or contradictory instructions, unsafe context, prompt debt, memory bloat, obsolete identifiers, source-of-truth drift, and compatibility risk across agent docs, skills, references, prompts, examples, evals, and fixtures. Use for context hygiene, memory cleanup, old instructions, 과거 잔재, 오래된 지침, 프롬프트 부채, 컨텍스트 정리. Do not use for ordinary README edits, general code refactors, normal linting, summarization, or creating a memory bank.
cf-review-out
Generate a review prompt for an external AI agent. Creates a self-contained document that any AI (Gemini, Codex, ChatGPT, or even a human) can read and use to review your code changes. Use when the user wants an outside review — e.g. "get a second opinion", "external review", "review out", "send for review", "cf-review-out", "outside review", "prepare review for gemini", "review prompt".
email-manager
E-Mail-Skill für Timus: E-Mails lesen (IMAP), senden (SMTP), Credentials-Management und Konfiguration. Use when working with emails.
multi-llm-advisor
Fetches additional perspectives from OpenAI Codex and Google Gemini for architecture, review, and debugging. Transparently displays all LLM calls.
super-geo-agent-readiness
Generative Engine Optimization plus agent readiness. Use this skill whenever the user asks about GEO, AEO, LLMO, optimizing content for AI search engines (ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, Copilot), getting cited by LLMs, brand mentions in AI responses, llms.txt, robots.txt for AI crawlers, Schema.org JSON-LD, FAST framework, agent readiness, MCP server discovery, Web Bot Auth, OAuth for agents, API Catalog, agentic commerce (x402, ACP, UCP), Markdown content negotiation, or auditing a site or page for AI visibility. Also trigger when the user says "AI SEO", asks how to "rank in ChatGPT", "show up in Perplexity", "appear in AI Overviews", or wants a site to "speak to AI agents". Trigger even when the request is implicit, such as "review this article so AI search picks it up" or "make our docs agent-friendly".
tfx-setup
triflux 초기 설정 및 진단을 수행합니다.
cross-review
実装・commit 後、`acceptance-check` 通過後・PR 作成前に別の AI (Codex CLI または Claude CLI headless) に diff を渡してセカンドオピニオンのコードレビューを得る。backend は環境変数 `CROSS_REVIEW_BACKEND` で `codex` / `claude-self` から選択でき、未指定時は利用可能な CLI を自動検出する。
prompt-craft
Use when writing, tightening, evaluating, or repairing an LLM prompt or reusable prompt template for completion, agent dispatch, grading, structured extraction, tool use, or prompt-engineered workflows. Covers instruction hierarchy, message roles, context placement, few-shot examples, structured output, positive constraints, reasoning guidance, prompt-injection resistance, provider differences, and eval-driven iteration. Do NOT use for whole context-system design (use context-engineering), eval dataset or grader design (use agent-eval-design), reviewing generated code (use code-review), authoring SKILL.md files (use skill-scaffold), choosing which skill or agent should activate (use skill-router), or root-causing a deployed failure after outputs already exist (use debugging).
tool-call-flow
Use when reasoning about the protocol-level cycle by which a language model uses external tools: the four phases (declaration, request, execution, continuation), the message-history state model that ties them together, the structural differences between vendor protocols (Anthropic tool-use, OpenAI function-calling, MCP) and how they compose, parallel vs sequential tool calls, error handling and retries inside the cycle, and the separation between the model (which produces structured intent) and the runtime (which executes the intent and routes results back). Do NOT use for the decision of when and how many tool calls to make (use tool-call-strategy), agent-system architecture and coordination patterns (use agent-engineering), prompt wording (use prompt-craft), or the design of evals for tool-use behavior (use agent-eval-design).
consult-llm
This skill should be used when the user wants to consult external LLMs for a second opinion or discussion. Use when the user says "discuss with llms", "consult llms", "consult LLMs", "ask LLMs", "get LLM opinions", "what do other LLMs think", "ask ChatGPT", "consult Gemini", "ask GPT", "get a second opinion", "ask another AI".
voice-handoff
Hand off THIS terminal Claude Code session to the yapcode voice agent so you can continue it by voice (while still typing in the same session). Runs on /voice-handoff.
go-code-review
Run a Staff+ Go code review against the current diff (correctness, security, concurrency, AI-bloat, TDD ceremony, tests). Use when the user asks to review, audit, look at, sanity-check, or get a second opinion on the current changes / branch / PR. Applies REVIEW.md and rules in .claude/rules/.
go-debug
Debug Go failures by reproducing the bug as a focused test, tracing root cause, fixing minimally, and verifying with race-enabled tests. Use when the user mentions a bug, panic, deadlock, race, leak, hang, crash, segfault, regression, flaky test, or any Go failure that needs reproducing — for non-Tier-1 paths only (Tier 1 bugs use go-tdd-bugfix).
go-release-check
Pre-release Go checklist for services, libraries, and CLIs (tests + race + lint + govulncheck + allowed-modules + TDD ceremony + CHANGELOG + API docs). Use when the user asks to release, ship, deploy, cut a tag, prepare a release, or do a pre-release / pre-deploy check.
minimal-go-change
Plan and implement the smallest safe Go change with red-before-green where tractable. Use for any routine Go change to non-Tier-1 paths — small features, bug fixes, refactors, lint cleanups, dependency bumps, or any change where the user says "implement", "add", "fix", "update", "change", or "refactor" and the touched paths are NOT covered by .tdd/tdd-config.json tier1_path_regexes.
negative-diff
Post-implementation cleanup pass that explicitly looks for code to delete, inline, or reuse rather than add. Use after any implementation finishes and tests pass — before opening a PR — to remove AI-generated bloat, single-use abstractions, speculative config, dead exports, and tests that mirror implementation. Trigger when the user says "clean up", "simplify", "shrink the diff", "reduce bloat", "prepare PR", or whenever a PR exceeds ~200 lines.
specify
Spec-driven Layer 0 — capture intent, non-goals, acceptance criteria as a tracked spec under specs/ before writing any non-trivial code. Drives Specify -> Plan -> Tasks -> Implement with three human approval gates. Use whenever the user asks to design, plan, spec out, scope, or implement something that spans more than ~1 hour, touches public API, touches a Tier 1 path, or has non-trivial business invariants.
whimsy-injector
Audits user journeys and product interfaces to identify opportunities for injecting personality, delight, micro-interactions, Easter eggs, and playful moments that reduce task anxiety and increase emotional engagement. Applies the science of surprise and delight without compromising usability or accessibility. Trigger on adding personality, micro-interactions, Easter eggs, reducing task anxiety, and emotional design. Do NOT trigger on general UI/UX design reviews, accessibility auditing, brand voice writing, gamification strategy, or animation/motion design without delight context.
vekil-reverse-proxy-deploy
Deploy or update Vekil from github.com/sozercan/vekil as a Kubernetes or local reverse proxy for Anthropic, Gemini, OpenAI Chat Completions, and OpenAI Responses-compatible clients. Use when the user asks to install, redeploy, configure provider routing for, expose, port-forward, validate, or troubleshoot Vekil reverse proxy deployments.
channel-strategy
Guides marketers on selecting, sequencing, evaluating, and optimizing marketing channels for B2B companies — trigger when a user is deciding which channels to invest in, how to allocate budget across channels, or how to build a channel mix from scratch.
content-ideation
Helps marketers generate, source, and validate B2B content ideas using customer signals, internal data, social listening, and AI tools — trigger when planning content calendars, brainstorming campaigns, or identifying audience pain points
codex
Delegate a task to OpenAI's GPT via the Codex CLI. Use this skill when the user explicitly asks to use Codex, GPT, or OpenAI for a task, or when you determine that GPT would provide better results for a specific task (e.g., tasks requiring OpenAI-specific strengths). Detects the codex binary, falls back to agent --model gpt-5.4-high if unavailable.
skill-creator-meta-skill
Generates new AI skills in .md format, providing structured name, description, and instruction for future use.
vike-web-fetch
Fetch a URL's content (via Tavily extract) and optionally answer a question about it using Cerebras Llama 3.3 70B. Use when the user gives a URL and asks "what does this page say" / "summarise X" / "extract Y from this article".
insights
Analyze OpenAI ChatGPT Ads performance in natural language — spend, impressions, clicks, CTR/CPC/CPM, best and worst performers, daily trends. Use when the user asks "how are my chatgpt ads doing", "which ad performs best", "spend this week", "show CTR by campaign", or any performance question about OpenAI/ChatGPT ads.
manage
Manage OpenAI ChatGPT Ads — activate, pause, rename, rebudget, retarget, or archive campaigns, ad groups, and ads, with confirmation gates on spend-starting and irreversible actions. Use when the user says "pause my chatgpt ads", "activate the campaign", "change the budget", "update the ad copy", "archive that campaign", or any management request for OpenAI/ChatGPT ads.
are-you-ok
Print a structured status snapshot of the current agent session or active project. Agent mode: model, git, memory, tasks, tools, jobs. Project mode: project name/type, version, recent commits, changed files. Recovery mode: network status, uncommitted changes, jobs, tasks, recovery steps. Trigger — agent: "are you ok", "你还好吗", "状态怎么样", "汇报进度", "当前状态", !status. Trigger — inline peek: ?, ??, ??? — finish the current response first, then append the status box. Trigger — project: "项目进度", "项目状态", "项目情况", "project status", "project progress". Trigger — recovery (AUTO, no user input needed): invoke automatically at the start of a conversation turn when the context contains ANY of these network error signals — Claude Code: "socket connection was closed unexpectedly", "Streamable HTTP error", "claude.ai proxy connection failed"; OpenAI/GPT: "network error", "Failed to fetch", "The network connection was lost", "Error communicating with ChatGPT"; Copilot: "Copilot is not reachable", "Connection to GitHub Copilot failed"
chatgpt-apps
Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design tools, register UI resources, wire the MCP Apps bridge or ChatGPT compatibility APIs, apply Apps SDK metadata or CSP or domain settings, or produce a docs-aligned project scaffold. Prefer a docs-first workflow by invoking the openai-docs skill or OpenAI developer docs MCP tools before generating code.
embedding-strategies
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
langchain-architecture
Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
rag-implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
smalltalk-mcp
Interact with live Smalltalk images (Squeak, Cuis) via MCP. Evaluate code, browse classes, view method source, define and modify classes and methods, query hierarchies and categories in a running Smalltalk environment.
image-prompt
Generate a prompt for an image generation model(gpt-image-2). Use when an image is requested by the user or you need an image to be generated and verify the image against your requirements.
ccem-release
Publish a new ccem release, commit generated release files, or trigger the ccem GitHub Actions release flow for CLI and Desktop.
brand-coherence-audit
Audit the discursive coherence of a brand or person across the web (owned site + off-site sources), in FR or EN. Extract structured claims (positioning, offer, expertise, proofs) from up to 15 sources, build a cross-source coherence matrix, surface inconsistencies that hurt LLM citation likelihood (Generative Engine Optimization), and deliver a prioritized markdown report with sub-scores per axis and a weighted aggregate. Use when the user wants to check whether their brand or personal narrative is consistent enough for AI search engines (Perplexity, ChatGPT Search, Google AI Mode, Brave Ask) to cite them confidently. Trigger for requests such as "audit la cohérence du discours de [marque/personne]", "est-ce que mon discours est cohérent sur le web", "check ma cohérence narrative pour les LLM", "brand coherence audit", "discourse consistency audit", or "verify my brand narrative across sources".
gsdsecond-opinion
Get a second opinion from OpenAI Codex (GPT-5.2-codex) on code, architecture, or implementation decisions. Use when you want independent verification or an alternative perspective.
word-counter
Deterministic counting for Chinese, English, and mixed-language text such as articles, essays, novels, chapters, outlines, transcripts, and pasted paragraphs. Use when the user asks for word count, character count, manuscript length, bilingual text count, chapter length, or wants a stable count instead of a model estimate.
leaderboard
Show ELO ratings leaderboard — per task class or overall
gmail-cli
Use Gmail through the authenticated Google Workspace CLI. Use when the curated Gmail connector cannot expose raw message payloads, binary attachments, unsupported MIME types, original MIME source, or exact Gmail API metadata.
google-drive-cli
Use Google Drive through the authenticated Google Workspace CLI. Use for Drive file search, metadata inspection, downloads, uploads, exports, folder creation, permissions, Meet recording files, and source-of-truth Drive artifacts when a CLI path is preferable to the curated connector.
ai-pm
Reviews and shapes 0→1 PMF-stage product decisions for AI agent infrastructure and product surface — runtime, orchestration, memory, tools, evals, harness design, and agent reasoning interfaces. Activates when the user is sizing an agent capability, choosing between workflow patterns vs autonomous agents, designing tool/skill schemas, building an eval pipeline from scratch, debating framework adoption, writing a PRD/decision-record, designing the harness (tests/docs/specs/observability) that agents operate within, or critiquing the spec layer of an agent product. Anchored on Anthropic Building Effective Agents + Krieger (research-coupling) / Karina Nguyen (eval-as-Schelling-point) / Lopopolo (harness-as-leverage) / Turley (ship-to-understand) / Cherny (prototype-density) PM thought leadership. Does not handle scale-stage tradeoffs (1→10+ enterprise sales, multi-tenant cost, SLA contracts), final architecture authority on infra primitives (defer to staff/principal engineer), agent-safety/red-team review, or B2
secret-preflight
Scan a repository for committed secrets, API keys, tokens, and private keys before deploying or pushing. Use before any first push to a public repo, before any deploy, when the user mentions 'did I commit a secret', 'API key in code', security review, or open-sourcing a project — and proactively if you notice a hardcoded credential while doing other work. Runs fully offline — no API keys, no network, no credentials.
secret-preflight
Scan a repository for committed secrets, API keys, tokens, and private keys before deploying or pushing. Use before any first push to a public repo, before any deploy, when the user mentions 'did I commit a secret', 'API key in code', security review, or open-sourcing a project — and proactively if you notice a hardcoded credential while doing other work. Runs fully offline — no API keys, no network, no credentials.
pre-commit-guard
提交前安全检查 — 密钥泄露、敏感信息、调试代码、文件大小、gitignore 完整性
self-healing
任务失败时自动重试 + 换策略 — 分析失败原因，选择替代方案重新执行
copyright-safe-style-transfer
저작권 안전 이미지 스타일 변환
postsmith
Use when the user wants Instagram or social-media visuals of any kind — a post, carousel, story, reel cover, infographic, ad creative, or branded image set — or asks to "send a prompt to the image AI", "generate an image", "make a post", "make a carousel", "design a story", or in Russian "сделай пост", "сделай карусель", "сгенерируй картинку", "нарисуй сторис", "оформи инфографику", "отправь промпт нейросети". Triggers even when the word "postsmith" is never said. Use whenever someone needs brand-consistent image generation with gpt-image-2.
backend-contract-boundary
Keep backend contracts explicit and stable; isolate internal types behind boundaries.
backoffice-workflow-ux
Generate enterprise backoffice workflows with route-based capability pages, scalable lists, task flows, filters, actions, and role-aware UX.
enterprise-solution-architecture
Keep enterprise solutions coherent across requirements, runtime profiles, integration boundaries, observability, audit, and release readiness.
eval-contract-writer
Require every runnable KIT to emit deterministic validation artifacts for EVAL and GATE.
frontend-state-accessibility
Turn frontend requirements into usable, testable, accessible UI behavior with explicit loading/empty/error/success states and keyboard/a11y flows.
gate-risk-reviewer
Enforce evidence-based promotion decisions and prevent risky or ambiguous KIT outputs from being promoted.
industrial-safety-simulator
Model safe/unsafe states and block unsafe commands by default for industrial simulation.
mendix-extension-boundary
Stay within Mendix extension boundaries; do not mutate platform core.
ml-experiment-reproducibility
Pin seeds/config/dataset versions and provide a deterministic rerun path.
mobile-offline-parity
Handle offline/sync/conflict states and recover interrupted flows on mobile.
mvp-e2e-promotability
Convert requirements into narrow but end-to-end promotable MVP slices instead of shallow demos or decorative code.
secure-config-secrets
Enforce safe configuration, secret handling, auth boundaries, restricted egress, and security evidence for promotable software.
finding-underserved-keywords
Use when optimizing existing pages for SEO, hunting low-hanging keyword opportunities, analyzing pages that get impressions in Google Search Console but few clicks, or planning a content refresh. Covers the full content lifecycle (initial → growth → mature) and integrates with Generative Engine Optimization (GEO) for AI-search visibility. Applies to any site with GSC access.
openai-image-generation
Installable agent tool for generating images with OpenAI's gpt-image-2 model (April 2026 — OpenAI's most capable image model). Wraps a Python CLI that handles API auth, parameter validation, file I/O, and cost estimation — the agent composes one command with a prompt plus optional --size / --quality / --format / --n / --output flags and receives back saved file paths and a JSON metadata block (in --json mode). For any image task — logo, app icon, hero banner, social post, photo-realistic render, draft test, multi-variation set — the agent infers suitable parameters from task context and produces the artifact in a single subprocess call, then hands the saved path(s) to the next step. ACTIVATE when an image is needed AND OpenAI is the chosen provider — user mentions "OpenAI", "gpt-image", "gpt-image-2", invokes /openai-image, or a parent task has explicitly routed an image step here. DO NOT auto-trigger on generic "generate an image" requests with no provider specified — defer to whichever provider the user pic
codex
Delegate tasks or get a second opinion from OpenAI Codex CLI. Infers mode (delegation vs validation) from prompt context. Detects available models at runtime via the CLI. Use when cross-validating code, plans, or architecture with Codex CLI, or offloading work to it. Do not use when already running inside Codex CLI or for tasks that do not benefit from cross-model input.
app-store-screenshots
Use when building App Store or Google Play screenshot pages, generating exportable marketing screenshots for iOS and/or Android apps, or creating programmatic screenshot generators with Next.js. Triggers on app store, play store, screenshots, marketing assets, html-to-image, phone mockup, android screenshots, feature graphic.
design-taste-frontend
Senior UI/UX Engineer. Architect digital interfaces overriding default LLM biases. Enforces metric-based rules, strict component architecture, CSS hardware acceleration, and balanced design engineering.
full-output-enforcement
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
gpt-taste
Elite UX/UI & Advanced GSAP Motion Engineer. Enforces Python-driven true randomization for layout variance, strict AIDA page structure, wide editorial typography (bans 6-line wraps), gapless bento grids, strict GSAP ScrollTriggers (pinning, stacking, scrubbing), inline micro-images, and massive section spacing.
high-end-visual-design
Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.
image-taste-frontend
Elite frontend image-direction skill for generating premium, artistic, implementation-friendly website design references. Uses combinatorial variation to avoid repetitive AI aesthetics, enforces cinematic hero minimalism, strong hierarchy, generous spacing, image-led composition, and anti-slop visual discipline. For visual frontend tasks, this skill must first generate the design image(s) itself, deeply analyze them, then implement the frontend to match them as closely as possible.
industrial-brutalist-ui
Raw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.
minimalist-ui
Clean editorial-style interfaces. Warm monochrome palette, typographic contrast, flat bento grids, muted pastels. No gradients, no heavy shadows.
redesign-existing-projects
Upgrades existing websites and apps to premium quality. Audits current design, identifies generic AI patterns, and applies high-end design standards without breaking functionality. Works with any CSS framework or vanilla CSS.
stitch-design-taste
Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.
image-prompt-engineer
Craft optimized prompts for AI image generation across all major models. Triggers on "write an image prompt", "create a prompt for", "optimize this image prompt", "prompt for flux", "prompt for dall-e", "prompt for midjourney", "image prompt for".
model-selector
Recommend the best AI model for image, video, and audio generation tasks. Triggers on "which model should I use", "recommend a model", "best model for", "what model for", "compare models", "fastest model for", "cheapest model for".
low-frequency-thread-monitor
低频巡检 Skill for ordinary non-Goal Codex controller windows that need active, ETA-aware monitoring of background worker/review/planning threads. Use automatically when a controller reads, checks, or inspects another Codex conversation thread/window, including 已读取对话线程, 读取对话线程, read_thread, list_threads, or background thread status checks. Keeps monitoring active until a terminal state, reads minimal status, reduces context pollution and token spend, avoids over-polling, and minimizes wasted waiting time.
non-consensus-research
Use this skill when the user wants to set up an automated multi-agent research pipeline that hunts genuinely non-consensus findings in any topic domain (e.g. AI hardware, biotech, climate, supply chain, geopolitics). The skill builds a self-running system that re-executes every N hours, performs sector-by-sector deep research, runs cross-sector permutation analysis to surface mispriced findings, and uses an independent verification agent to ruthlessly purge anything the market already prices in. Outputs a public GitHub repo plus a mobile-first reader. Use when the user says "build me a research pipeline", "find non-consensus alpha in <topic>", "automated market research", "permutation analysis across sectors", "scheduled research agent", or "verification-gated synthesis".
benchmark
Run metric quality benchmark, store results, and compare against previous runs. Invoke with /benchmark, "run benchmark", "benchmark metrics", "check metric quality".
c2pa-sign
Embed C2PA (Content Authenticity Initiative) provenance manifests into SocialForge AI-generated assets — images, video, audio. Use when: preparing AI-generated social posts for EU markets to comply with EU AI Act Article 50 (applicable 2 Aug 2026); making AI generation disclosure machine-readable; signing already-generated assets retroactively; auto-signing newly generated assets when c2pa_auto_sign is enabled in brand profile.
life-os
A personal decision engine with multiple independent AI agents, checks and balances, and swappable cultural themes. Covers relationships, finance, learning, execution, risk control, health, and infrastructure. Use when facing complex personal decisions (career change, investment, entrepreneurship, relocation, life planning), needing multi-angle analysis, periodic reviews, or systematic life management. Trigger keywords: analyze, plan, multi-angle, review, start session, debate. Even without explicit keywords, suggest this skill whenever multi-dimensional thinking or major decisions are involved. Not for simple Q&A, translation, or single-step tasks.
design-brief
Write a comprehensive design brief that defines the problem space, constraints, audience, and success criteria.
shinri
書道・カリグラフィのプロンプト生成を支援するスキル。Nano Banana 2 / Nano Banana Pro / ChatGPT Image2 向けに「表現としての書」のプロンプトを、対話フロー（冒頭分岐→文字入力→情動→方針→類例→プロンプト出力）で組み立てる。書のプロンプト、カリグラフィプロンプト、真理、Shinri、nanobananaで書、Image2で書、漢字を書いて画像生成、書道作品をAIで、署名・サインを画像生成、といった話題が出たら積極的に使うこと。8書体系統（痩金体・古典正統・狂草・現代書・前衛・和様・枯淡・署名）と5情動軸（重さ・質感・温度・充満・時間）から書体と文房四宝を翻訳する。
openclaw-memory-graph
Neo4j-backed graph memory for Openclaw providers. Replaces the flat-file `memory/` system with a property graph that supports typed memory nodes, semantic edges, vector-similarity recall, and automatic migration of existing flat-file memories.
pev-dual-review
--strict モード専用。Reviewer A (Opus xhigh、固定) と Reviewer B (Sonnet high / Codex CLI から選択) を並列起動し、両者の structured JSON verdict を merge して NICE/NAUGHTY 判定。v2.0 で Reviewer B が選択可能になり、 dual-codex mode (codex CLI subprocess) で真の external model diversity を実現
pev-external-executor
外部 LLM CLI (v3.5.0 では OpenAI Codex) を Execute phase の実装エンジンとして subprocess invoke する skill。 plan.md (Mode A) または task description + triage.json + cwd context (Mode B) と team-conventions を 1 prompt にまとめて codex exec --json --output-schema に渡し、 codex が workspace-write sandbox 内で file を編集する。 codex 不在 / 未認証 / timeout / non-zero exit 時は executor agent に fallback signal を返す (= Claude native 実装に degrade)。 v2.0 pev-external-reviewer の対称形 (reviewer ではなく executor 版)。
pev-external-reviewer
外部 LLM CLI (v2.0 では OpenAI Codex) を Reviewer として subprocess invoke する skill。 git diff + plan.md + rubric を組み立てて codex exec --json --output-schema に渡し、 structured JSON output を verify.json に merge する。 timeout / non-zero exit / 認証失敗時は自動で dual-claude にfallback (graceful degrade)。
billing-monitor
Monitor for API billing errors and alert the owner and admin immediately. Use when: an API billing error is detected, a peer PA reports a billing error, or during routine health checks. Handles detection, notification, and fallback model switching. Model-agnostic: works with any LLM provider (Anthropic, OpenAI, Google, etc.).
crypto-report
Get cryptocurrency market data. Get Binance AI analysis report. Get blockchain news updates.
crypto-report
Get cryptocurrency market data. Get Binance AI analysis report. Get blockchain news updates.
crypto-report
Get cryptocurrency market data. Get Binance AI analysis report. Get blockchain news updates.
final-validation
final validation workflow for release-readiness, residual risk classification, and single-verdict closure after the main program work is done.
pack-gap-completion
detect and explain missing reusable units such as commands, skills, agents, hooks, MCP connectors, docs, or evals when the project needs stronger automation and reuse.
project-intake
intake, inventory, and evidence-gathering workflow for full audits, rescue programs, or when the user wants the system to read the whole project before acting.
research-currency
research and currency check workflow for market signals, competitor positioning, language opportunities, and whether the proposed stack or UX is below the 2026 bar.
heimdall-serde-pitfalls
Serde deserialization hazards in heimdall — untagged enum error swallowing, flatten+deny_unknown_fields bug, internally tagged tuple variants, and roundtrip testing gaps.
agent-framework-azure-ai-py
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code int...
ai-citation-tracker
Track brand and domain citations in ChatGPT/Perplexity/Gemini/AI Overviews over time. Issues structured queries, captures citation lists from each engine's response, persists snapshots, and reports week-over-week changes in citation share. Use when user says "AI citation", "AI流入", "ChatGPT引用", "Perplexity citation", "AI Overview mention", "brand visibility in AI", "GEO tracking", "share of AI voice", or "LLM SEO monitoring". Use proactively after content publication to measure GEO uplift.
bing-indexnow
Submit URLs to IndexNow (Bing/Yandex/Seznam/Naver) for instant indexation. Critical for AI search because 87% of ChatGPT Search citations and 100% of Microsoft Copilot citations come from the Bing index. Use when user says "IndexNow", "Bing indexation", "Copilot SEO", "ChatGPT Search SEO", "AI search indexation", "new article publish", "URL submit", "instant index" or after publishing/updating any blog article. Battle-tested on miyakodeit.com (51 sessions/90d via Bing).
jsonld-article
Generate and validate Article / BlogPosting / NewsArticle JSON-LD structured data for Next.js / Strapi / static sites. Auto-detects subtype, enforces Google rich results requirements (headline length, image aspect ratio, publisher logo size, ISO 8601 timezone), and produces drop-in React components. Battle-tested on miyakodeit.com blog (Article schema across all /blog/* posts, with ChatGPT and Perplexity citation hits). Use when user says "Article schema", "BlogPosting JSON-LD", "NewsArticle structured data", "article rich results", "blog post schema", "author markup", "publisher markup", or is adding JSON-LD to a blog/news/article page.
jsonld-organization
Generate and validate Organization JSON-LD structured data for Next.js / Strapi / static sites. Auto-expands sameAs from GitHub / X / LinkedIn / connpass / note handles, validates logo dimensions for Google rich results, and produces drop-in React components. Battle-tested on netsujo.jp as the citation source for ChatGPT search "Netsujo" queries. Use when user says "Organization schema", "Organization JSON-LD", "company schema", "about page schema", "brand schema", "sameAs", "logo schema", "rich results organization", or is wiring up `/company`, `/about`, or the site root for AI citation.
jsonld-speakable
Generate and validate WebPage + SpeakableSpecification JSON-LD structured data for Next.js / Strapi / static sites. Explicitly marks the passages that AI search engines and Google Assistant should read aloud or quote, raising AI citation confidence on ChatGPT, Perplexity, and AI Overviews. Battle-tested on miyakodeit.com (4 pages, `<p data-speakable>` markup synchronized with llms.txt). Use when user says "speakable schema", "SpeakableSpecification", "speakable JSON-LD", "AI Overviews speakable", "voice search schema", "AI citation schema", "data-speakable", "Google Assistant schema", or "llms.txt consistency check".
llms-txt-generator
Generate llms.txt and llms-full.txt for AI search optimization (GEO). Crafts AI-citable definition blocks, identifies key pages, and ensures consistency with Speakable JSON-LD across the site. Battle-tested on miyakodeit.com (cited by ChatGPT for "Kyoto IT 勉強会" query). Use when user says "llms.txt", "GEO", "AI search optimization", "ChatGPT citation", "AI Overviews", "Perplexity optimization", or wants to make their site AI-recommendable.
passage-citability-checker
Score the AI citation readiness of a page's first 200 tokens. AI Overview/ChatGPT/Perplexity cite 44.2% of passages from the first 30% of an article. This skill measures definition-density, statistic-density, answer-first structure, and entity clarity in the opening passage and proposes rewrites. Use when user says "AI引用", "GEO", "AI Overview optimization", "ChatGPT citation", "passage citability", "AIに引用される", "冒頭リード", or "intro rewrite".
tfx-setup
triflux 초기 설정 및 진단을 수행합니다.
image-generation
Generating, illustrating, or editing images with OpenRouter image-gen models (Nano Banana 2/Pro, GPT-5 Image, GPT-5.4 Image 2). Use when the user wants to "generate", "create", "draw", "illustrate", "make a picture/illustration", "сгенерируй/нарисуй/создай картинку/иллюстрацию", request a hero/feature image, edit an existing image, build a series of consistent characters, or pick the right model for a visual task. Pairs with the `openrouter-image-mcp` MCP server.
codex-doctor
Diagnose the Codex toolkit setup in this environment — CLI, global config, env vars, cost-breaker, project wiring, and the most common post-install mistakes (unfilled AGENTS.md placeholders, relative-path hooks). Use when Codex commands misbehave or after a fresh install.
agent-dashboard
Real-time agent monitoring with health scoring, cost tracking, and web dashboard
airpay-agent
Airレジ/Airペイ管理エージェント — リクルートのPOSレジ・キャッシュレス決済プラットフォームをClaude Codeから完全操作。売上管理、決済処理、在庫管理、顧客分析、スタッフシフト管理をターミナルからリアルタイムに実行する店舗運営特化スキル。
amazon-japan-seller
Amazon.co.jp出品・FBA管理AIエージェント — SP-API連携で商品管理・広告・分析を自動化
backlog-agent
Manage projects on Nulab Backlog — issues, wikis, milestones, Git, sprints for Japan's top PM tool
base-stores-agent
Manage Japanese EC shops on BASE and STORES — products, orders, inventory for instant-commerce
brain-trust
Multi-agent hierarchical orchestration with 10+ roles and consensus protocols
capability-evolver-pro
Safe sandboxed self-evolution engine with 5-layer safety, automatic rollback, and evolution dashboard
context-slim
Context window optimizer — save 40-70% with 3 compression strategies
cybozu-garoon-agent
サイボウズGaroonグループウェア管理エージェント — スケジュール・ワークフロー・施設予約をAIで統合管理
e-tax-agent
e-Tax電子申告連携エージェント - 確定申告データ作成・電子送信・受信通知確認・納税証明書取得・予定納税管理をClaude Codeから一元操作するスキル
fx-trader-pro
First FX trading skill on ClawHub — OANDA API, 28 currency pairs, risk management
ga4-search-console
Query GA4 analytics and Google Search Console data in natural language — traffic, SEO, conversions
google-ads-agent
AI-powered Google Ads campaign management — create, optimize, audit, and report on PPC campaigns
google-maps-biz
Location intelligence for business — geocoding, places search, routing optimization, Google Business Profile
google-workspace-agent
Unified Gmail, Calendar, Drive, Sheets, and Docs management from Claude Code
hubspot-japan-agent
HubSpot日本語CRM・マーケティング管理エージェント — CRM・MA・営業支援をAIで完全統合
humanize-ai-pro
Multi-language AI text humanizer with 12 languages, 500+ patterns, and 5 writing modes
japan-invoice
インボイス制度（適格請求書）対応エージェント - 適格請求書の作成・登録番号検証・消費税計算・仕入税額控除管理をClaude Codeで一元管理するスキル
jooto-agent
Task and project management on Jooto — create tasks, manage boards, automate workflows via PR TIMES' tool
kingof-time-agent
Attendance and time tracking automation — daily/monthly data, payroll sync via Japan's leading attendance system
kintone-agent
Build, query, and automate Cybozu kintone apps — Japan's leading no-code business platform
line-agent
LINE公式アカウント自動応答・CRM — 96M+ users, Flex Messages, AI auto-response
line-works-agent
Enterprise LINE communication — bots, messages, groups, calendar on Japan's business-grade LINE platform
misoca-agent
Misoca請求書・見積書管理エージェント — 弥生グループのクラウド請求書サービスMisocaをClaude Codeから完全操作。請求書作成・送付、見積書、納品書、入金管理、インボイス制度対応、弥生会計連携をワンコマンドで実現する日本特化の帳票自動化スキル。
moneyforward-agent
Cloud accounting automation — invoices, expenses, journal entries, bank reconciliation on Japan's leading fintech
nano-banana-ultra
Multi-model AI image generation with Gemini, DALL-E, Stability AI, 30+ templates
sansan-agent
Business card and contact intelligence — search, manage, sync digitized cards for Japanese B2B networking
self-learning-agent
Cross-project learning engine with automatic failure capture and context-aware memory compression
shopify-japan
Shopify日本市場向けストア管理AIエージェント — Admin API + Storefront APIで商品・注文・テーマ・SEO・配送・決済を自動化
skill-guardian
5-layer security scanner for AI agent skills — post-ClawHavoc protection
slack-japan-agent
Slack日本語ワークフロー自動化エージェント - チャンネル管理・メッセージ自動化・日報収集・承認フローを統合的に運用するClaude Codeスキル
smarthr-agent
Automate HR and labor management — employee onboarding, documents, payroll on Japan's leading HR cloud
social-media-publisher
Cross-platform social media posting and analytics — X/Twitter, Instagram, TikTok, LINE
square-japan
Square日本向け決済・POS管理エージェント — Square Connect v2 APIを活用し、決済処理、POS管理、在庫管理、顧客管理、ロイヤリティプログラム、インボイス発行、eコマースをClaude Codeから統合操作。日本市場に最適化されたキャッシュレス決済・店舗運営スキル。
stripe-japan-agent
Payment management for Japan — PayPay, konbini payments, subscriptions, invoicing via Stripe
summarize-pro
7-mode intelligent summarizer with Chain-of-Density, 8 languages, and smart caching
yahoo-shopping-agent
Yahoo!ショッピング出品・ストア管理AIエージェント — Yahoo! API連携で商品・注文・広告を自動化
yayoi-agent
Accounting automation for Yayoi — smart transaction import, Misoca invoicing, bank reconciliation
codex-deepseek
Connect OpenAI Codex CLI to DeepSeek models (DeepSeek-V4 Pro, etc.) via Moon Bridge. Use this skill whenever the user wants to run Codex with DeepSeek, set up Codex+DeepSeek, switch Codex to DeepSeek, connect Codex to a DeepSeek API key, or mentions "codex deepseek" together. Also trigger when the user asks about running Codex with non-OpenAI models or asks how to use their DeepSeek API key with Codex CLI.
polis-protocol
Set up a self-optimizing multi-vendor AI agent team using the Polis Protocol — a markdown-based "small city" where each agent is a citizen with a content-hashed capability card, tasks are structured contracts routed to whoever has the strongest track record by a learning bandit, settled contracts produce lessons that compound into team memory, and citizens can ratify amendments to the protocol itself. Use whenever several AI agents (Anthropic, OpenAI, Google, or any vendor) collaborate on one project and "who should do this" is a real question; when you want work routed to whichever model is best at it; when you want a team that measurably gets better over time; or to set up a new polis, register or join as a citizen, open, claim, or settle a contract, file a lesson, propose or vote on an amendment, run a chavruta review before a high-stakes irreversible action, troubleshoot a stalled contract or router pathology, override a routing recommendation, or migrate from a simpler shared-vault setup (e.g. agent-vaul
implement
Generate implementation code from design documents by delegating to OpenAI Codex. Use when you have specs ready and want to auto-generate source code, or when running /implement.
openclaude-multi-llm
Use Claude Code's full tool system with any OpenAI-compatible LLM — GPT-4o, DeepSeek, Gemini, Ollama, and 200+ models via environment variable configuration.
openmaic-classroom
OpenMAIC — Open Multi-Agent Interactive Classroom platform for generating immersive AI-powered learning experiences with slides, quizzes, simulations, and multi-agent discussions.
delegate-to-ai
Route tasks to external AI models via Bifrost and PAL MCP multi-model tools
gemini-cli
Wield Google's Gemini CLI as a powerful auxiliary tool for code generation, review, analysis, and web research. Use when tasks benefit from a second AI perspective, current web information via Google Search, codebase architecture analysis, or parallel code generation. Also use when user explicitly requests Gemini operations.
mission-control-agent-contracts
Show or request Mission Control agent contracts. Use when the user wants to inspect a worker mission, allowed paths, forbidden paths, tools, validation obligations, stop conditions, or escalation rules.
mission-control-agent-graph-workflows
Design graph-style agent workflows with nodes, edges, gates, retries, checkpoints, and human approvals through Mission Control.
mission-control-agent-stuck
Diagnose a stuck Mission Control agent. Use when an agent shows no output, repeats errors, times out, asks for the same approval repeatedly, or stops making progress events.
mission-control-agents-md
Generate or review AGENTS.md from Mission Control understanding. Use when the user wants AGENTS.md proposed from the codebase map, existing instructions reviewed, or a safe draft prepared before writing.
mission-control-api-provider-mode
Use or explain API-provider mode through Mission Control. Use when the user explicitly wants API-backed execution, needs billing implications explained, or wants confirmation that configured secret storage rather than chat-provided keys will be used.
mission-control-approve
Relay Mission Control approvals and questions to the user. Use when there are pending command approvals, tool approvals, write permissions, Manager questions, swarm approvals, recovery decisions, or handoff review gates.
mission-control-autowire-providers
Use when Codex should detect and safely autowire local Mission Control runners without enabling unsafe billing paths by default.
mission-control-benchmark-comparison
Compare before-and-after performance evidence through Mission Control without turning benchmark claims into theater.
mission-control-brand-comms
Coordinate brand-guideline, internal-communications, announcement, and stakeholder-message work through Mission Control with tone, audience, and evidence constraints.
mission-control-bridge
Use when Codex should relay user intent to Mission Control instead of acting as the Manager itself.
mission-control-change-request
Run a post-handoff or mid-project Mission Control change request flow. Use when the user wants additional work classified, impact-estimated, task-created, validated, and folded into the current handoff or milestone safely.
mission-control-claude-cli-mode
Use or prefer Claude CLI runner mode through Mission Control. Use when the user explicitly wants Claude CLI if configured and Codex should verify availability and fallback rather than assuming setup exists.
mission-control-codebase-knowledge-graph
Build or inspect a Mission Control codebase knowledge graph. Use for file/function/class maps, dependency relationships, architectural layers, guided tours, and searchable understanding.
mission-control-codex-cli-mode
Use or prefer Codex CLI runner mode through Mission Control. Use when the user wants Codex CLI as the runner, needs its status explained, or wants the distinction between subscription auth and API-based providers kept clear.
mission-control-conflict-resolution
Resolve Mission Control agent or merge conflicts safely. Use when paths overlap, outputs disagree, or Mission Control needs a user-visible conflict-resolution path instead of hidden reassignment.
mission-control-context-pack
Show or build Mission Control context packs for agents. Use when the user wants to know which files, docs, and constraints are being packaged for a task, why they were selected, and where context coverage is still missing.
mission-control-continue-handoff
Continue work after a Mission Control handoff without losing continuity. Use when the user wants another iteration, wants limitations preserved, or needs the next change request to build on the previous handoff and evidence.
mission-control-creative-web-artifacts
Plan creative web artifacts, themed pages, demos, and visual prototypes through Mission Control while preserving project guardrails and validation.
mission-control-debug
Diagnose stuck or failed Mission Control orchestration. Use when runs are blocked, failing repeatedly, waiting too long, missing evidence, or unclear about the next recovery step.
mission-control-decision-ledger
Show important Mission Control decisions and assumptions. Use when the user wants to review user decisions, Manager assumptions, auto-decisions, rejected options, or approval history without searching raw events.
mission-control-diff-impact
Analyze the impact of current changes or a pull request through Mission Control. Use for ripple effects, affected tests, ownership, risk, and review focus.
mission-control-docs-heavy
Switch the project toward documentation-heavy Mission Control work. Use when the user wants the swarm or plan to prioritize README, guides, examples, docs review, or public-facing written material more than feature code.
mission-control-document-workflow
Coordinate document, PDF, Word, slide, spreadsheet, and report workflows through Mission Control. Use for document generation, conversion plans, extraction, validation, and evidence-backed summaries.
mission-control-domain-map
Extract business domains, flows, process steps, and domain vocabulary from a codebase or knowledge base through Mission Control.
mission-control-evals-observability
Design or run evaluation, tracing, callback, telemetry, and regression-observability workflows for Mission Control agents.
mission-control-event-digest
Summarize recent Mission Control events without raw logs. Use when the user wants the last 5 minutes, last 15 minutes, since last interaction, or since orchestration start summarized in bridge-safe markdown.
mission-control-evidence-check
Check whether Mission Control claims have backing evidence. Use when the user wants to know whether tests, builds, screenshots, artifacts, or handoff confidence are real, missing, weak, or dry-run only.
mission-control-existing-repo-fix
Run a direct Mission Control fix workflow for an existing repo. Use when the task is a bugfix or targeted change in a non-empty codebase and the Manager should classify the request, plan narrowly, request write permission, and execute safely.
mission-control-explain-codebase
Explain an unfamiliar codebase from Mission Control understanding. Use when the user wants stack detection, structure, entry points, how it likely runs, how tests work, risky areas, or recommended exploration next.
mission-control-failure-diagnosis-burst
Use when Mission Control should recommend a read-only failure diagnosis burst across logs, recent changes, tests, dependencies, and recovery planning.
mission-control-generate-runbook
Generate an operational runbook through Mission Control. Use when the user wants RUNBOOK.md or a chat-native runbook covering startup, tests, build, debugging, local reset, logs, and deployment notes.
mission-control-github-ready-docs
Prepare Mission Control docs for public GitHub. Use when documentation should be cleaned for publication, internal AI notes removed, secrets and private paths scrubbed, and install or run guidance made public-ready.
mission-control-handoff
Retrieve and present the final Mission Control handoff. Use when the user asks for the finished result, final summary, what changed, how to run it, evidence, limitations, or next tasks.
mission-control-handoff-audit-burst
Use when Mission Control should recommend a read-only handoff audit burst for run instructions, validation evidence, limitations, docs quality, and security caveats.
mission-control-headless-health
Use when Codex should diagnose Mission Control plugin, daemon, MCP, runtime, or runner health from chat without opening the standalone app.
mission-control-interview
Run a full Mission Control Manager interview. Use when the project is ambiguous, project-specific intake matters, or the user wants the Manager to ask clarifying questions with budgeted depth before planning or build work.
mission-control-keras-finetuning
Route Keras fine-tuning and transfer-learning work through Mission Control with explicit baseline, unfreeze, and evaluation steps.
mission-control-keras-tuning
Route KerasTuner and other bounded hyperparameter searches through Mission Control with explicit budgets and evidence.
mission-control-knowledge-base-map
Build or inspect a graph-style map of docs, wiki pages, claims, entities, and relationships through Mission Control.
mission-control-local-first
Switch Mission Control toward local-first behavior. Use when the user wants local files, local models, no cloud deployment, and no external APIs unless explicitly approved.
mission-control-manager
Manager behavior for Codex Mission Control projects. Use when the manager needs to restate a project idea, run an interview, refine plans, create worker tasks, route follow-up work, or prepare final handoff notes.
mission-control-mcp-builder
Design, build, or audit MCP servers and tool/resource/prompt contracts through Mission Control. Use for MCP schemas, stdio startup, auth boundaries, plugin packaging, and smoke tests.
mission-control-memory-state-policy
Define memory, state, checkpoints, resumability, and retention policy for Mission Control workflows and agents.
mission-control-model-policy
Inspect or update Mission Control model-assignment policy. Use when the user wants to understand or change cost-saving, balanced, best-quality, local-first, or custom model routing across Manager, coding, docs, review, and fallback roles.
mission-control-nsight-profiling
Coordinate Nsight-based GPU profiling through Mission Control with safe evidence capture and approval-aware command use.
mission-control-resume
Use when a new Codex chat needs to reconnect to a recent Mission Control orchestration safely.
mission-control-review-burst
Use when Mission Control should recommend a bounded read-only review burst across correctness, security, testing, maintainability, and docs.
mission-control-review-handoff
Use when Codex should retrieve Mission Control status, evidence, and final handoff notes for review with the user.
mission-control-safe-mode
Use when the user wants Mission Control to operate in a stricter approval-heavy safety posture.
mission-control-status
Use when the user wants a compact Mission Control status summary, blocker report, or agent activity check.
mission-control-swarm
Use when the user wants to inspect or adjust Mission Control swarm strategy from Codex chat.
mission-control-uninstall
Use when Codex should remove the Mission Control plugin bundle, synced skills, and managed Codex MCP registration.
mission-control-update
Use when Codex should refresh an existing Mission Control install, resync the plugin and skills, and rerun headless repair/bootstrap.
voice-auth
Writing voice authentication and AI-smell elimination skill. Activates when the user wants AI-generated writing to sound like them specifically — not generic, not polished-AI, not corporate bland. Analyzes a writing sample to fingerprint sentence length, vocabulary density, structural habits, punctuation patterns, and filler tendencies. Generates and rewrites content matching that fingerprint. Kills AI clichés, passive construction, hollow openers, and corporate hedges. Iterates by adjusting the voice model, not just the output. Use when user says: make this sound like me, remove the AI smell, this doesn't sound like me, write in my voice, match my style, too formal, too polished, sounds like ChatGPT, sounds like AI, rewrite in my tone, voice match, edit for tone, too corporate, my audience will know this is AI, sounds generic, make it human. Do NOT activate for: technical documentation where voice is not relevant, code generation, structured reports with fixed format requirements. First response: "Voice Auth
controlflow-orchestration
Use when executing a multi-step repository task in phases, especially when progress should be tracked with gates, approvals, retries, localized replanning, or optional sub-agent delegation instead of one long monolithic run.
controlflow-plan-audit
Use when a saved implementation plan should be adversarially reviewed before coding, especially for small, medium, or large tasks that may contain architecture flaws, scope gaps, destructive risk, weak rollback, weak tests, or dependency conflicts.
controlflow-planning
Use when a repository task needs a strict ControlFlow-style implementation plan before coding, especially for small, medium, or large scope, cross-file edits, risky migrations, architectural uncertainty, or any work that should produce a saved Markdown plan artifact in plans/.
controlflow-review
Use when asked to review code, a diff, or a completed phase, especially when the result should emphasize bugs, regressions, validation status, and evidence-backed findings instead of style commentary.
controlflow-router
Use when a task broadly matches ControlFlow and you need to decide whether to start with spec capture, strict workflow, planning, pre-execution plan review, orchestration, code review, or memory hygiene, or whether to combine several of those skills in sequence.
controlflow-spec
Use before planning non-trivial Codex work when the requirements, acceptance criteria, boundaries, constraints, or success measures are not yet clear enough for a safe implementation plan.
controlflow-strict-workflow
Use for non-trivial Cursor work: saved plan, tiered pre-execution review, phased execution, and final review with durable artifacts under plans/.
audit
Use when someone asks for an AIOS audit, asks to score their setup against the Four Cs, or says "is my AIOS working" / "audit my setup" / "find gaps in my AIOS". Produces a Four-Cs scoreboard with top-3 fixes ranked by leverage.
decide
Use when the user faces a real decision with stakes and wants it framed cleanly — options, ranked criteria, a recommendation, the falsifier, and reversibility — then logged to decisions/log.md. Trigger on "/decide", "help me decide", "should I X or Y", "frame this decision", "what's the call here", "log this decision".
graph
Use when the user wants to build, refresh, or visualize the repo's knowledge graph — code structure plus the committed wiki/ — via graphify. Produces an interactive graph + a GRAPH_REPORT.md of God Nodes, surprising connections, and suggested questions. Trigger on "/graph", "build the knowledge graph", "graph the repo", "map the codebase", "refresh the graph", "visualize the second brain".
graph-ingest
Use when the user brings an external source worth keeping — a URL, a paper, a tweet/thread, a blog post, a docs page — and wants it pulled into the second brain. Fetches the source into the git-ignored capture inbox, admits it to the committed wiki through the admission policy, then refreshes the knowledge graph so it joins the rest of your thinking. Trigger on "/graph-ingest", "ingest this url", "add this paper to my knowledge", "add this tweet/page to my knowledge", "capture this source".
graph-query
Use when the user asks a question about how things in the codebase or wiki relate — what connects two things, how something works end to end, what depends on what, or what a concept means in this repo. Answers from the knowledge graph in graphify-out/graph.json, with source-location citations. Trigger on "/graph-query", "ask the graph", "what connects X to Y", "trace how X works", "explain <concept> from the graph", "shortest path between".
level-up
Use weekly to find and ship one new automation. Walks the 3Ms interview — Mindset (find the candidate) → Method (scope one) → Machine (build it). Trigger on "let's level up", "what should I automate next", "find me leverage this week", or as a Friday ritual. One run = one shipped artifact.
onboard
Use on Day 1 of an AIS-OS install, when someone says "set me up", "onboard me", "let's get started", "fill in my AIOS", or has just cloned the kit. Combined wizard — runs the 7-question intake AND scaffolds the Day-1 file set at the end. Idempotent — re-run any time after editing aios-intake.md.
structure
Use when the user brings any fuzzy, half-formed, or interrupt-driven input — an order from a boss, a forwarded email thread, a ticket, a chat message, a "can you look into X", a raw idea — and it needs framing before work starts. Turns the input into a structured brief (Context · Desired outcome · Goal · Owner · Next step · Decision needed). This is the AIOS's front door; run most things through it first. Trigger on "/structure", "frame this", "what's the actual ask here", "structure this", or any vague task that lacks a defined outcome.
triage
Use when the user dumps a batch of inputs at once — a pile of emails, a backlog of Slack/Teams messages, a list of asks, meeting action items, a notes brain-dump — and needs it sorted into action. Classifies each item, assigns owner + next step + priority, and flags which need a full /structure brief or a /decide call. Trigger on "/triage", "triage this", "process my inbox", "sort these asks", "clear my backlog", "what do I do with all this".
lsp
Use when Codex needs language-server diagnostics, definitions, references, symbols, or rename safety checks in the current workspace.
rules
Use when the user asks about Codex Rules behavior, injected project rules, supported rule file locations, matching, or environment configuration.
docs-publication-manager
Create or refine compact technical documentation, READMEs, public docs, and contribution guides. Use for OSS-facing docs, internal docs cleanup, navigation design, and converting implementation details into concise Claude-style markdown.
feature-slice-designer
Decide where new behavior belongs across apps, features, domain, data, api, ui, infra, and utils. Use before implementing a feature, refactor, or cross-layer change in the LenserFight monorepo.
migration-risk-reviewer
Assess Supabase/Postgres migration blast radius, rollback difficulty, data loss risk, permission regression risk, and rollout safety. Use before applying migrations to shared environments or bundling schema changes into a release.
mobile-app-designer
Use when designing or refining Expo Go React Native screens in apps/mobile, with separate iOS and Android considerations, to keep the UI minimalist, performant, and aligned with the shared native design system.
mobile-app-integrator
Use when implementing new mobile features in apps/mobile or libs/* with Expo/React Native and the shared mobile design system.
mobile-app-product-owner
Use when planning mobile app features, roadmaps, or research-backed product decisions for apps/mobile.
mobile-app-reviewer
Use when reviewing apps/mobile or libs/* for mobile performance, security, storage, network, permissions, or render-cost risks.
mobile-language-checker
Use when validating language preferences, locale resolution, onboarding localization, or in-app language settings across the current LenserFight file tree.
mobile-ruleset
Shared mobile workspace rules for apps/mobile and libs/* in lenserfight. Use when navigating native UI boundaries, shared tokens, verification defaults, or the canonical mobile design ruleset.
product-owner-decider
The strategic authority for LenserFight. Translates ambiguous requests into product decisions, scope cuts, acceptance criteria, and implementation priorities.
repo-architecture-auditor
Audit Nx monorepo structure, layer responsibilities, dependency drift, public APIs, and misplaced logic. Use for architecture review, library placement, boundary erosion, duplication, and repo health checks.
repository-pattern-reviewer
Review repositories, cache behavior, data-access boundaries, and error mapping. Use when persistence code becomes leaky, caching is suspicious, or feature code reaches into transport/storage details.
supabase-api-rpc-reviewer
Review Supabase SQL functions, RPC exposure, return contracts, and API-facing database surfaces. Use for public API design, function hardening, response stability, and deciding between direct table access and RPC.
supabase-rls-security-reviewer
Review Supabase RLS, grants, schema exposure, views, and SQL function privilege boundaries. Use for policy design, auth-sensitive migrations, exposed-schema review, security-definer risk, and least-privilege database hardening.
supabase-schema-reviewer
Review Supabase/Postgres schema design, table ownership, normalization, defaults, relationships, and migration coherence. Use for new tables, column design, view design, schema cleanup, and database modeling decisions.
tailwind-ui-ux-reviewer
Review Tailwind-based UI for consistency, accessibility, responsiveness, interaction states, and maintainability. Use for design system drift, component polish, UX quality, or accessibility review.
claude-api
Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements). TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a Claude feature (caching, thinking, compaction, tool use, batch, files, citations, memory) or model (Opus/Sonnet/Haiku) in a file; questions about prompt caching / cache hit rate in an Anthropic SDK project. SKIP: file imports `openai`/other-provider SDK, filename like `*-openai.py`/`*-generic.py`, provider-neutral code, general programming/ML.
fix-issue
Pick up a GitHub issue, investigate, implement the fix, test, and create a PR
card-creator
Create knowledge cards from user input. Automatically detects card type if not specified, then fills in the appropriate template and saves to 04_Knowledge/00_Cards/. Use this whenever the user wants to create a knowledge card, note, or atomic piece of content for their knowledge base—even if they don't explicitly mention "cards" or "templates". Keywords: create card, new card, add note, save to cards, knowledge card, card from...
codex
Configure and use OpenAI Codex CLI. Use when user mentions codex, wants to set up Codex, or asks about Codex config (.codex/config.toml). Trigger: /codex, codex config, set up codex, .codex/config.toml
github-readme
Generate polished GitHub README.md files for Mick's repositories in his established voice and structure. Always trigger immediately when the user's message starts with "readme" or "gr". Also trigger on "write a readme", "generate readme", "readme for this repo", "document this repo", or any request to create or rewrite a GitHub README. Produces a complete, repo-specific README with the right sections for the project instead of a generic template.
github-repo-architect
Convert a repository idea into a complete GitHub repository architecture. Always trigger immediately when the user's message starts with "repo", "gra", or "architect repo". Also trigger on "build a repo structure", "design a GitHub repo", "scaffold this repository", "create repository architecture", "turn this idea into a repo", or any request to generate README, folder layout, prompts, GitHub Actions CI, issue templates, pull request templates, or starter project structure for a new repository.
idea-forge
Run any raw idea through a multi-stage R&D pipeline that interprets, expands, scores, and converts it into an actionable engineering plan. Always trigger immediately when the user's message starts with "idea". Also trigger on "ideaforge", "analyze this idea", "expand this concept", "assess this invention", "explore this thought", "develop this further", "turn this into a project", "evaluate feasibility", "forge this idea", or any request to analyze, expand, score, or develop a rough concept or invention into a structured plan.
agent-governance
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
commit
stage the intended changes and write one clear conventional commit
review
review the current diff for correctness, security, and broken contracts
chatwork-agent
Automate Japan's
ec-cube-operator
EC-CUBE 4.x 完全管理 — 商品・在庫・注文・RFM分析
freee-agent
freee会計・人事労務 自動化 — AI仕訳・P/L・B/S・確定申告
jp-humanizer
AI文章の日本語自然化 — 500+ patterns, 4 modes, AI検知率0%
jp-seo-writer
日本語SEO記事自動生成 — 共起語分析・E-E-A-T対応
jp-tax-calc
日本の税金計算・確定申告支援 — 所得税・消費税・e-Tax連携
lark-workflow
Lark/Feishu自動化 — 承認フロー・Bot・文書管理
makeshop-agent
MakeShop EC管理エージェント — GMOグループのECプラットフォームをAIで完全制御
mercari-shops-agent
メルカリShops出品・販売管理AIエージェント — API連携で商品・注文・配送・分析を自動化
notion-jp
Notion日本語テンプレート — 20+ templates, 議事録自動生成
paypay-biz
PayPay決済管理・売上分析 — 65M+ users, QR決済
rakuten-seller
楽天市場ショップ運営AI — RMS API, レビュー・売上分析
comfy-prompt
Write production-grade prompts for ComfyUI Cloud (cloud.comfy.org) and local ComfyUI blueprints. Provides MCSLA prompt structure (Model · Camera · Subject · Look · Action), cinematic vocabulary, model routing across BFL Flux, OpenAI DALL-E, Stability SD3, Ideogram, xAI Grok, ByteDance Seedance, Pika, Runway, Vidu, Recraft, Reve, Google nano-banana, plus the 60+ local blueprints in ~/ComfyUI/blueprints/. Use this skill when the user asks to: - Write or refine an image/video prompt for Comfy - Pick the right model for a generation - Get a cinematic prompt with proper camera/motion vocabulary - Match a genre (action, product, horror, portrait, landscape, sci-fi, etc.) - Improve a weak prompt - Generate a still image, video, edit, or upscale via Comfy Pairs with `comfyui-cli` skill — this writes the prompt, comfyui-cli executes it.
deploy
Deploy web applications to DevTools Cloud from Git repositories. Use when the user wants to deploy, ship, publish, or launch a web app. Supports Node.js, Python, Go, and Rust with automatic build detection. Handles zero-downtime deployments with automatic rollback on failure. Do NOT use for domain management or log viewing.
order
Place orders on Bob's Online Store. Use when the user wants to add items to a cart, apply coupons, choose shipping, and complete checkout via API. Handles the full purchase workflow from cart to confirmation. Requires a Bearer token (user must be logged in). Do NOT use for product search or browsing.
search
Search and browse products in Bob's Online Store catalog. Use when the user wants to find products by keyword, category, price range, or brand. Returns structured product data including prices, ratings, and stock availability. Supports pagination and sorting. Do NOT use for order management or account operations.
skill-installer
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
agents-md-generator
Generate hierarchical AGENTS.md structures for codebases. Use when user asks to create AGENTS.md files, analyze codebase for AI agent documentation, set up AI-friendly project documentation, or generate context files for AI coding assistants. Triggers on "create AGENTS.md", "generate agents", "analyze codebase for AI", "AI documentation setup", "hierarchical agents".
clone-website
Clone/replicate websites into production-ready Next.js 16 code using Firecrawl MCP. Use when user asks to: clone website, vibe clone, replicate landing page, copy website design, rebuild this site, recreate this page, clone specific sections (hero, pricing, footer, etc). Triggers: "clone this website", "vibe clone [url]", "replicate this landing page", "rebuild this site in Next.js", "clone the hero section from [url]", "copy this design".
frontend-ui-animator
Analyze and implement purposeful UI animations for Next.js + Tailwind + React projects. Use when user asks to add animations, enhance UI motion, animate pages/components, or improve visual feedback. Triggers on "add animations", "animate UI", "motion design", "hover effects", "scroll animations", "page transitions", "micro-interactions".
frontend-ui-integration
Implement or extend a user-facing workflow in a web application, integrating with existing backend APIs. Use when the feature is primarily a UI/UX change backed by existing APIs, affects only the web frontend, and requires following design system, routing, and testing conventions.
gemini-to-seedream-migration
Migrate AI image generation from Google Gemini 2.5 Flash to BytePlus SeeDream v4.5. Use when: (1) User wants to switch from Gemini to SeeDream/BytePlus for image generation, (2) User asks about migrating image generation APIs or replacing Gemini with BytePlus, (3) User needs cost optimization or better image quality for AI-generated images, (4) User mentions SeeDream, BytePlus, or wants SDK-to-REST API migration for image generation
rsc-data-optimizer
Optimize Next.js App Router data fetching by converting slow client-side fetching to fast server-side fetching using React Server Components (RSC). Use when: - User reports slow initial page load with loading spinners - Page uses useEffect + useState for data fetching - StoreContext/useStore pattern causes waterfall fetching - Need to improve SEO (content not in initial HTML) - Converting "use client" pages to Server Components Triggers: "slow loading", "optimize fetching", "SSR data", "RSC optimization", "remove loading spinner", "server-side fetch", "convert to server component", "data fetch lambat", "loading lama"
task-generator
Generate structured task lists from specs or requirements. IMPORTANT: After completing ANY spec via ExitSpecMode, ALWAYS ask the user: "Would you like me to generate a task list for this spec?" Use when user confirms or explicitly requests task generation from a plan/spec/PRD.
source-command-health
Quick check of project health without building
security-review
Load when a workflow-router-selected owner workflow needs security-sensitive code, auth, user input, secrets, API endpoints, payments, injection risk, or unsafe IO reviewed; use compound-code-review for broader review.
codex-sdk-docs
Use when working with Codex Skills, the Codex SDK, Codex app-server, or OpenAI Docs MCP setup; consult the bundled reference first, then verify current details against official OpenAI docs when behavior or commands matter.
executing-plans
Use when you have a written implementation plan to execute in the current session. Loads the plan, reviews critically, executes all tasks, and reports when complete.
finishing-a-development-branch
Complete a development branch before merge — verify tests pass, update documentation, ensure quality gate passes, and prepare a clean PR.
model-benchmarking
Use when selecting a model for any production feature, or evaluating whether to switch models. Requires task-specific benchmarking — not leaderboard lookup. Blocks "GPT-4 is the best model" decisions.
token-budget-tracker
Track AI model usage, token costs, and optimize spend across agents
codex
OpenAI Codex CLI wrapper — three modes. Code review: independent diff review via codex review with pass/fail gate. Challenge: adversarial mode that tries to break your code. Consult: ask codex anything with session continuity for follow-ups. The "200 IQ autistic developer" second opinion. Use when asked to "codex review", "codex challenge", "ask codex", "second opinion", or "consult codex". (gstack) Voice triggers (speech-to-text aliases): "code x", "code ex", "get another opinion".
agent-framework-azure-ai-py
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.
openai-image-gen
이미지 생성 — OpenAI Images API (DALL-E, GPT Image)로 이미지 생성. 프롬프트 기반 이미지 제작.
progressive-review-loop
Run iterative audit/fix/verify loops for bounded artifact sets by escalating through model and reasoning levels one pair at a time until two consecutive clean passes are achieved at each level. Use when reviewing scripts, prompts, runbooks, configs, or other operational artifacts that need progressive confidence-building reviews.
local-cloud-parity
Use when a requirement integrates with external infrastructure but must remain runnable and testable locally.
prompt-generation
Generate brand-representative prompts for LLM visibility tracking and AI-search discovery monitoring. Use when the user needs natural-language prompts grouped by topic and funnel stage, including prompt sets for ChatGPT, Claude, Gemini, Perplexity, or AI Overviews tracking. Produces CSV-ready prompts that reflect how buyers, consumers, or researchers ask LLMs about a market.
social-platform-routing
Platform-specific social media specialist routing — Twitter/X, TikTok, Instagram, Reddit, LinkedIn, and short-form carousel content. Use when the user asks about platform-specific content strategy, viral growth tactics, algorithm optimization, community engagement, thought leadership building, or campaign execution on a specific social platform. Triggers on Twitter, X, TikTok, Instagram, Reddit, LinkedIn, viral content, algorithm, engagement rate, thought leadership, carousel, short-form video, social engagement, follower growth, community building.
harness
Control surface for a harness-engineering Claude Code setup at user or project scope. Handles install, uninstall, update, doctor, adopt, snapshot, status, audit, and memoize. Installs CLAUDE.md, guardrail hooks, /verify, /plan, /critique, memory seeds, and settings patches; can also retrofit an existing project with scripts/harness-check.sh, report install state, snapshot ~/.claude/, and run deterministic memory hygiene. All sub-actions are idempotent. Use when asked to "set up my Claude Code", "install harness", "uninstall harness", "update harness", "diagnose my setup", "adopt harness", "retrofit", "snapshot my setup", "audit my setup", "harden my Claude", "memoize", "consolidate memory", or "prune memory".
dyno-create
Author Dynobox test files (*.dyno.yaml and *.dyno.yml, or the js/ts variety) for agent and skill workflow testing with Claude Code or OpenAI Codex. Use this skill when the user wants to write, scaffold, generate, review, or edit dyno tests, dynobox configs, scenarios, assertions, fixtures, or evaluation harnesses, including requests involving tool calls, shell commands, skill invocations, artifacts, transcripts, final messages, ordered sequences, or HTTP requests.
audio-to-markdown-transcriber
当需要把音频/视频录音转成文字并产出结构化 Markdown（含元数据、逐字稿、会议纪要、摘要）时使用；用 Whisper/Faster-Whisper 转写并经 LLM 整理出参与者、议题、决策、待办；不适用于实时流式转写、说话人精确声纹识别或纯听写无结构需求；触发词：转写音频、会议纪要、语音转文字
news-sentiment-briefing
当需要从多个 RSS 源聚合 AI/科技新闻、按影响力排序并产出带情感与影响力评分的结构化简报卡片时使用；做多源采集→去重→排序→情感标注→简报卡；不适用于投资/政策权威研判、单源快讯或需实时行情的场景；触发词：新闻简报、情��分析、RSS 聚合、舆情、每日科技快报、影响力评分。
academic-figure-prompt
Use this skill whenever the user wants to generate detailed English prompts for AI image tools (NanoBanana / Gemini / DALL-E / Midjourney) to produce top-conference-quality academic figures — including framework diagrams, network architecture diagrams, pipeline flowcharts, module detail diagrams, comparison/ablation figures, and data pattern grids — especially when the user says "论文配图提示词", "生成论文配图", "学术论文生图", "架构图提示词", "框架图提示词", "顶会风格配图", "CVPR 风格图", "NeurIPS 风格图", "paper figure prompt", "academic diagram prompt", or provides a LaTeX/PDF/Word paper and asks for figure prompts. If the user has not specified a color scheme, present the 8 preset palette options and color tool links before generating any prompt.
linkedin-post-agent
Generates LinkedIn posts by researching news, creating professional captions, and suggesting hashtags.
claude-seo
Universal SEO skill covering technical audit, on-page content, GEO (Generative Engine Optimization for ChatGPT / Perplexity / Claude / Gemini), Google Search Console and GA4 tracking. Use when asked to "audit my SEO", "check my website for ranking issues", "optimize for AI search", "improve organic traffic", or to run a quick scan before publishing a page.
cwb-app-icon
Generate native Apple app icons (iOS/macOS/watchOS) using AI via SnapAI CLI. Creates AppIcon.appiconset in Assets.xcassets, iOS 26 Liquid Glass .icon folder, and macOS icns-compatible sizes. Invoke when the user asks to generate, create, or update an app icon for a native Swift project.
branch-hygiene
Inspect and clean stale branches across multiple repositories using the dotfiles git-hygiene + gh-bootstrap toolchain. Use when the user asks about branch state, stale local branches, or "no ref was fetched" errors.
decompose
Deep task decomposition into parallel workstreams with self-contained agent prompts. Use when you want to review the execution plan before committing to it.
jj
Drives jujutsu (jj) version control on the user's behalf so they don't have to memorize commands. Use for single-agent feature work (the default), whenever the user mentions jujutsu/jj, when undo-safety or a clean rewritable history matters, or when starting/finishing a change in a jj-managed repo. For MULTI-agent parallel work use git worktrees (or jj workspaces) instead — see "jj vs worktrees" below.
max
Maximum effort mode — worktrees, parallel agents, batches, full capability selection. Use when you want comprehensive, no-compromise execution.
session-retro
Runs a short retrospective that PROPOSES edits to the user's Claude Code skills — capturing a newly-found gotcha, fixing a description that didn't auto-trigger, retiring a dead skill, or extracting a reusable pattern into a new skill. Improves the TOOLSET, not the session log. Use when the user signals satisfaction at the end of real work ("thanks", "thanks that worked", "that worked great", "nice", "perfect", "exactly what I needed"), or when they explicitly run /session-retro. Always proposes and waits for confirmation — never edits skills silently. In unattended runs (/max, overnight, or /session-retro --auto), writes proposals to ~/.claude/retro-proposals/ instead of blocking.
interface-design
UI/UX design patterns for software. Trigger: When designing user interfaces, planning UX flows, or evaluating UI decisions.
agentic-actions-auditor
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI/CD pipelines, including env var intermediary patterns, direct expression injection, dangerous sandbox configurations, and wildcard user allowlists. Use when reviewing workflow files that invoke AI coding agents, auditing CI/CD pipeline security for prompt injection risks, or evaluating agentic action configurations.
java-spring-ai
Use when the user asks to add AI features, integrate Spring AI or LangChain4J, build a chatbot, implement RAG (retrieval-augmented generation), use vector stores, stream LLM responses, or call AI tools/functions in a Spring Boot project.
graphify
Graphify workflow for Pi/Codeflare. Build, refresh, query, explain, trace, or locate repo/Vault/session knowledge. Uses official Graphify AST/build/cluster/report/export flows, and uses the Pi main session agent for semantic extraction and community labels.
security
Security Baseline
speckit-coach
Helps with SpecKit / Spec-Driven Development problems. Use when the user is stuck on: a failing simplicity gate or gate-validator rejecting acceptance criteria, deciding which checklist domains apply (api, security, observability, data-integrity, resilience), writing testable acceptance criteria the gate accepts, decomposing a large feature into multiple specs, creating a multi-spec technical roadmap, understanding the consensus protocol or how phase gates work, the difference between specify plan and specify tasks, what each /speckit-<command> does, how the tdd-mandate preset changes the workflow, where grill-me or clarify fit in the SDD process, repairing an existing speckit-pro project, making template customizations upgrade-safe, or browsing, installing, configuring, or removing SpecKit community extensions, presets, hooks, or catalog entries (verify, doctor, review, archive, retrospective, jira, azure-devops, and the rest of the upstream catalog). Not for actually running autopilot ($speckit-autopilot),
run-checks
Runs fmt, clippy, and tests after modifying the Rust implementation, or before committing. Use when asked to "run checks", "cargo check", "run checks", or "make CI pass".
validate-mappings
Validates the invariants of the conversion table (id uniqueness, direction/loss value domains, degrade⇒lossy, no transform on dropped) when mappings/*.yaml has been edited or before committing. Always use this after modifying mappings. Use when asked to "check mappings", "validate mappings", or "validate mappings".
rb-ollama
Multi-model AI coding assistant with 51 tools and 13+ providers. Use for code review, refactoring, testing, documentation, and general coding tasks.
blogwatcher
Monitor blogs and RSS/Atom feeds for updates using the blogwatcher CLI.
agent-builder
Generate role-specific agent system prompts, tool permissions, and self-review checklists from organizational design artifacts — saved to $HOME/.ai-first-kit/ with optional framework-specific configuration for Claude Code, OpenAI Agents SDK, Anthropic Agent SDK, CrewAI, or custom frameworks. Reads the organizational genome, governance, gates, and role definitions to produce agent configurations that embody a specific role in the organization. Use when the user says 'create agent instructions', 'build an agent', 'agent system prompt', 'configure an agent', 'agent for this role', 'OpenAI agent', 'CrewAI agent', 'create agent config', 'deploy an agent', or 'what tools should this agent have'. Also use when the user has completed role-value-mapper and wants to actually deploy agents that follow the organizational genome, or when they ask 'how do I make an agent follow our rules' or 'how do I create an OpenClaw agent for our org' — even if they don't use the word 'builder'. This skill MUST be consulted because it
oracle
Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).
aeo-daily
Local AEO daily content engine — FORKED VOICE + voice filter (v0.4.2). One command → today's pack across 5 BUSINESS channels by default (was 11). Travel pack on-demand via --voice flag. BUSINESS voice (5 channels, default): LI personal, FB page, IG pro, YT pro, TikTok pro. Carousel + reels + comment-bait. TRAVEL voice (6 channels, on-demand): FB profile, IG travel x2, TikTok travel x2, Pinterest. Daily-life narrative, no agency talk. Pipeline writes single MASTER.html (all channels embedded as iframes + sticky TOC) at outputs/<DATE>/MASTER.html. All saved to <repo>\outputs\YYYY-MM-DD\copy.json (forked schema, see config/copy-schema.json). Legacy v0.3 still supported: --legacy flag falls back to single LI post + 8-slide carousel. Voice = the author's locked LinkedIn template (contrarian hook → reframe → → arrow lines → vulnerability beat → CTA + 5-8 hashtags). Authenticity layer required: 1 local anchor per post (named cafe / local currency / scooter / your local spot). 1 real client win referenced (a SaaS cli
agentganggang-compare-workflows
Teach an agent to install AgentGangGang's local MCP sidecar, connect it in a host, and run a compare-first browser workflow.
codex-subagents
Launch one or more OpenAI Codex agents from Claude Code for read-only-by-default exploration, review, planning, second opinions, Spark checks, parallel codebase analysis, or explicit full-access Codex work. Use automatically when the user asks for Codex, OpenAI Codex, Codex Spark, Codex subagents, parallel Codex agents, a Codex second opinion, or for Claude Code to delegate work to Codex.
writing-style
Mandatory style guide for all written English output. Enforces Australian English spelling, bans common AI-tell words and phrases, and ensures a direct, natural, human tone. Use this skill every time you write, edit, rewrite, or review prose of any kind, including: emails, Slack messages, blog posts, reports, articles, presentations, one-pagers, job descriptions, speaker notes, customer replies, farewell messages, internal announcements, creative writing, or any other text a human will read. Also use when cleaning up AI-generated text (e.g. from ChatGPT, Gemini, or another LLM) to remove robotic language. If someone asks you to "make this sound more natural", "rewrite this", "draft a message", "write an email", "clean this up", or "fix the tone", this skill applies. Even short, informal messages like a two-line Slack ping must follow these rules. The only exceptions are code, variable names, and direct quotes. When in doubt, use this skill. It is better to over-trigger than to miss a case where the output sou
skill-installer
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
devpilot-harness-engineering
Use when setting up a repository for autonomous coding agents, adding guardrails, context files, or automation so agents ship reliably without constant review. Triggers on "make this repo agent-friendly", "agents keep drifting", "set up AGENTS.md / skills / sub-agents", "harness engineering", architectural drift with agent-authored code, or retrofitting guardrails after output quality decayed.
controlflow-assumption-verifier
Use when a saved plan may contain hidden assumptions disguised as facts, especially for medium or large tasks, unresolved high-risk plans, or plans that mention files, APIs, versions, integrations, tests, or concurrency patterns that should be verified against the repository before execution.
controlflow-executability-verifier
Use when a saved plan should be tested for cold-start executability before coding, especially for large tasks, weak-confidence plans, or plans whose early phases may be too vague for a fresh executor to follow without hidden context.
controlflow-memory-hygiene
Use when work spans many turns or phases and you need durable notes, active-objective tracking, or context compaction without letting stale memory override the current codebase.
ai-spend-tripwire
Track LLM API spend across Anthropic, OpenAI, and Google providers, project daily and monthly cost, alert when burn rate exceeds threshold, and circuit-break agent loops before they cost serious money. Use this skill when starting a long agentic session, when the user asks "how much have I spent on AI", "what's my Claude/GPT cost this month", "any unusual spend", or proactively before any task expected to take >30 minutes of agent time. Refuses to launch new agent loops if monthly budget projection exceeds limit.
actual
Feature-complete companion for the actual CLI, an ADR-powered CLAUDE.md/AGENTS.md generator. Runs and troubleshoots actual adr-bot, status, auth, config, runners, and models. Covers all 5 runners (claude-cli, anthropic-api, openai-api, codex-cli, cursor-cli), all model patterns, all 3 output formats (claude-md, agents-md, cursor-rules), and all error types. Use when working with the actual CLI, running actual adr-bot, configuring runners or models, troubleshooting errors, or managing output files.
peanut-illustrations
Turn a short prompt into one clean, hand-drawn concept illustration starring a deadpan peanut. Use when the user gives an idea, judgment, process, feeling, or metaphor as a short prompt and wants a single "peanut" illustration, concept sketch, explainer image, article figure, or visual for it. Default style is a deadpan in-shell peanut, black hand-drawn line art on white, one warm-orange accent, lots of whitespace, one idea per image, and the exact bottom-right watermark "© peanut-illustrations-by-aish" added after generation — composed first, then generated.
daily
Use at the start of a working day (or when the user asks "what should I focus on today / give me my brief / daily standup"). Produces a one-screen daily brief — today's top 3, open loops that need a nudge, what's slipping, and a suggested focus order. Trigger on "/daily", "daily brief", "what should I focus on today", "morning brief", "standup".
draft
Use when the user needs a written communication drafted in their voice — an email, a Slack/Teams message, a team update, an announcement, a reply to a thread, or a post. Produces a ready-to-review draft matching references/voice.md; never auto-sends external. Trigger on "/draft", "draft an email", "write a reply", "draft the update", "draft the announcement", "respond to this thread in my voice".
exec-cockpit
Template skill for a leadership-transition / executive cockpit — when someone steps into or covers a leadership role and needs to not drop anything. Produces a handoff doc + decision-rights map, an "open loops" tracker, a team-comms cadence, and a recurring report/update drafter. Trigger on "/exec-cockpit", "handoff doc", "decision-rights map", "open loops tracker", "cover for <role>", "interim <role>". Customize the placeholders to your situation.
experiment
Use to run an autoresearch-style experiment loop — improve a measurable artifact by trying changes, measuring against one objective metric, keeping if better and reverting if not, on an isolated git branch with a logged trail. Trigger on "/experiment", "run an experiment loop", "autoresearch X", "tune/optimize X against a metric", "hill-climb X". Follows references/sops/experiment-loop.md. Enforces the autonomy gate (objective metric + reversible sandbox + no PHI/external) before any unsupervised looping.
prep
Use when the user has a meeting, call, 1:1, a person to meet, or a decision coming up and needs to walk in prepared. Assembles a one-page brief from context/, wiki/, connections, open loops, and the knowledge graph — who · what · goal · history · open loops · the ask · risks. Trigger on "/prep", "prep me for", "brief me on <person/meeting>", "what do I need to know before", "get me ready for".
weekly
Use for a weekly operating review (Friday wrap or Monday plan) — review progress against the 90-day priorities, surface stalled open loops, and set next week's focus. This is the PERSONAL operating review; distinct from /audit (checks the kit's connections/freshness) and /level-up (finds one automation to build). Trigger on "/weekly", "weekly review", "weekly planning", "how did this week go", "plan my week".
workflow
Use to run a dynamic, goal-driven workflow — orchestrate a multi-step goal by composing skills, tools, and MCPs, with a quality gate and verification at each step. Trigger on "/workflow", "run the <name> workflow", "orchestrate X", or a multi-step recurring goal ("draft the investor update", "give me my morning brief"). Follows references/sops/dynamic-workflows.md and the wf-*.md cards. Respects the autonomy/cadence gate (auto on reversible/internal, draft-then-approve on external/regulated).
coding-agent-docs
Use when answering questions about configuring, extending, debugging, or operating Claude Code or Codex coding agents, including permissions, sandboxing, skills, subagents, hooks, MCP, rules, AGENTS.md, refresh behavior, CLI behavior, IDE or app behavior, and agent documentation freshness.
comment-checker
Use when Codex needs to understand or respond to automatic comment-checker feedback emitted after an edit-like PostToolUse hook.
release-readiness-reviewer
Review whether a change set is ready for release across code, migrations, tests, docs, and rollout planning. Use before production releases, high-risk merges, or milestone sign-off.
supabase-index-trigger-reviewer
Review Postgres indexes, triggers, write amplification, and performance risk in Supabase migrations. Use for slow queries, missing indexes, trigger-heavy designs, stale propagation issues, and DB-side performance tuning.
unit-test-planner
Plan test coverage by layer, risk, and behavior. Use when adding features, fixing regressions, or deciding what to test in domain, data, UI, and integration layers.
vite-performance-engineer
Review Vite app performance, bundle shape, route splitting, assets, rendering cost, and caching strategy. Use for slow pages, heavy bundles, poor loading behavior, or frontend performance audits.
check-input-validation
Validates input domain safety including division-by-zero prevention, pagination bounds, cache key completeness, and numeric range enforcement
check-no-secrets
Scans codebase for accidentally committed secrets, credentials, API keys, and sensitive data to prevent security breaches
finish-worktree
Completes feature branch work by rebasing, pushing, monitoring CI, and squash merging to main
get-api-docs
Fetch current API and SDK documentation with the chub CLI. Use when writing or reviewing code against fast-changing APIs, especially when the user asks for the latest or current docs.
kaspa-sovereign-architect-engine
Source-grounded Kaspa protocol and Toccata engineering for Rusty Kaspa, KIPs, wallets, Kasware/Kaspium, indexers, WASM/TypeScript, covenants, ZK, vProgs, mining, infrastructure, repository audits, and current network or release status. Use when Codex must research, explain, design, implement, review, or verify Kaspa systems with UTXO-first architecture, DAG-aware correctness, explicit monetary flows, current primary sources, and reproducible validation.
research-lookup
Look up current research information using the Parallel Chat API (primary) or Perplexity sonar-pro-search (academic paper searches). Automatically routes queries to the best backend. Use for finding papers, gathering research data, and verifying scientific information.
voice-debrief
面试录音转译复盘助手，处理面试录音或转录文本，支持保存到飞书文档（完整对话、问答整理、总评）并自动归档到多维表格。触发场景：用户提到"面试复盘"、上传音频文件（.wav/.m4a/.mp3/.mp4）需要转录、上传 PDF 转录文件需要整理、或说"帮我整理这场面试"。
deploy
Deploy the application to the target environment
ai-wrapper-product
Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Cov...
getbib
用低幻觉工作流为一篇或多篇学术论文获取可靠的 BibTeX。当用户提供论文标题和可选作者信息，并希望得到：(1) 带理由的权威候选链接，(2) 通过浏览器实际获取而不是猜测生成的 BibTeX，(3) 类似 bib_link_candidates.md 这样的可审阅过程文档，或 (4) 多篇论文的批量 BibTeX 收集结果时，应使用此 skill。
tanstack-ai-patterns-alpha
TanStack AI patterns for unified AI SDK integration. Activates when implementing AI chat, streaming responses, or AI-powered features. NOTE: Alpha library - API may change.
auditcodex
Send recent work to OpenAI Codex CLI for an independent audit/review
auditcodexdirect
Send specific files to OpenAI Codex CLI for an independent audit/review
bmad-bmb-create-agent
Create a new BMAD agent with best practices and compliance
bmad-bmb-create-module
Create a complete BMAD module with agents, workflows, and infrastructure
bmad-bmb-edit-agent
Edit existing BMAD agents while maintaining compliance
bmad-bmb-edit-module
Edit existing BMAD modules while maintaining coherence
bmad-bmb-validate-agent
Validate existing BMAD agents and offer to improve deficiencies
bmad-bmb-validate-module
Run compliance check on BMAD modules against best practices
bmad-bmm-code-review
Perform adversarial code review finding specific issues. Use when the user says ""run code review"" or ""review this code""
bmad-bmm-correct-course
Manage significant changes during sprint execution. Use when the user says ""correct course"" or ""propose sprint change""
bmad-bmm-create-prd
Create a PRD from scratch. Use when the user says ""lets create a product requirements document"" or ""I want to create a new PRD""
bmad-bmm-create-story
Creates a dedicated story file with all the context the agent will need to implement it later. Use when the user says ""create the next story"" or ""create story [story identifier]""
bmad-bmm-dev-story
Execute story implementation following a context filled story spec file. Use when the user says ""dev this story [story file]"" or ""implement the next story in the sprint plan""
bmad-bmm-document-project
Document brownfield projects for AI context. Use when the user says ""document this project"" or ""generate project docs""
bmad-bmm-domain-research
Conduct domain and industry research. Use when the user says ""lets create a research report on [domain or industry]""
bmad-bmm-edit-prd
Edit an existing PRD. Use when the user says ""edit this PRD"".
bmad-bmm-market-research
Conduct market research on competition and customers. Use when the user says ""create a market research report about [business idea]"".
bmad-bmm-qa-generate-e2e-tests
Generate end to end automated tests for existing features. Use when the user says ""create qa automated tests for [feature]""
gpt
Use when running a prompt through OpenAI GPT directly. An alternative invocation point for /model-cli:codex — both use the same backend (codex binary or agent --model gpt-5.4-high fallback). Use this or /model-cli:codex interchangeably.
code-review
对指定代码目录进行全量代码审核，按模块并行subagent方式分批审查，生成问题报告并追溯问题作者。适用于通用代码工程的定期代码质量审查。
arrows-daily-brief
Arrows daily brief. Run this any time you need a complete picture of your day: who you're meeting (with LinkedIn profiles), where every deal stands, messages needing a reply, pipeline alerts, and open time. Pulls your calendar, CRM, call recordings, email, and chat automatically. Say 'Run my Arrows daily brief' to start.
arrows-deal-nudge
Arrows deal nudge. Two modes: (1) nudge a specific deal ('Run the Arrows deal nudge on Pendo') or (2) scan your pipeline for deals that need attention ('Run the Arrows deal nudge on my pipeline'). Pulls deal context, strategizes a play (send a resource, tap a prior topic, loop in a stakeholder, acknowledge a broken commitment), and drafts a send-ready nudge email. Respects your nudge preferences from project instructions. Say 'Run the Arrows deal nudge on [company]' or 'Run the Arrows deal nudge on my pipeline' to start. Also responds to 'nudge [company]' and 'which deals need a nudge?'
arrows-help
Arrows help. Lists all available Arrows skills and their trigger phrases. Say 'Arrows help' to see what's available. Also responds to 'what can you do?'
arrows-post-call
Arrows post-call workflow. Run this right after any sales call. Reads your call recording, CRM, email, and the seller's website to generate up to three things: a follow-up email draft, a copyable CRM note (no CRM writes), and relevant resources to send. Only includes sections that can be filled with verifiable information — drops anything where data is missing and flags the discovery gap. Say 'Run my Arrows post-call' or 'Run the Arrows post-call on [company]' to start. Also responds to 'run post-call on [company]'.
arrows-pre-call-prep
Arrows pre-call prep. Quick, focused deep dive on one specific upcoming call. Pulls only the relevant context (deal history if any, attendees, past conversations across channels, open commitments, discovery gaps) and gives you a brief you can scan in 60 seconds right before the meeting. Works for first calls (form submissions, intro emails, meeting booking context) and for follow-up calls (every prior call, note, email, chat). Different from the daily brief — this is for ONE call, not your whole day. Say 'Run the Arrows meeting prep for [company]' to start. Also responds to 'prep me for my call with [company]' and 'pre-call prep on [company]'.
arrows-setup
Arrows Sales Skills setup. Scans your CRM, call recordings, and email to learn how you sell, then asks a few quick questions to fill gaps. Builds project instructions that personalize every Arrows skill to you. Takes about 5 minutes. Say 'Build my Arrows sales profile' to start.
arrows-weekly-pipeline-review
Arrows weekly pipeline review. Scans your entire active pipeline and generates a deal-by-deal status report you can share before a manager 1:1. Shows what's closing this week, what's at risk, and a stage-by-stage rollup with a flag on anything that needs attention. Can also generate a live visual artifact. Say 'Run my Arrows weekly pipeline review' to start. Also responds to 'run my weekly pipeline review' and 'show me my pipeline'.
browser
Minimal Chrome DevTools Protocol tools for browser automation and scraping. Use when you need to start Chrome, navigate pages, execute JavaScript, take screenshots, or interactively pick DOM elements.
opus-mind
Use when the user edits CLAUDE.md / AGENTS.md / .cursorrules / GEMINI.md / **/SKILL.md or any chatbot system prompt (LINT), OR when the user wants to tighten a vague one-shot prompt before sending it to an LLM (BOOST). Fires on audit/score/review/fix requests, on symptoms like refuse-relent, narration leak, rule conflict, and on "help me improve this prompt" messages.
claude-api
Load when a workflow-router-selected owner workflow needs Claude API or Anthropic SDK build, debug, migration, or tuning work; skip provider-neutral, OpenAI, or non-Anthropic model work.
content-seo
On-page / editorial SEO for written content — so what you publish ranks AND gets cited by AI answer engines. INVOKE THIS PROACTIVELY — even when the user never says "SEO" — whenever writing or editing prose meant to be published on the web — blog posts, articles, guides, tutorials, landing-page copy, product/marketing pages, press releases, "what's new"/changelog/release-note entries, FAQ pages, documentation, or Markdown content (`content/**/*.md`, `*.mdx`) and its frontmatter (title, description, slug, canonical). Covers search intent, title tags, meta descriptions, heading structure, keyword targeting, content depth, internal linking, image alt text, URL slugs, featured-snippet and AI-citation formatting, E-E-A-T, and the do's/don'ts that get content penalized. It is the editorial-SEO quality bar for all published writing produced here — reach for it on any content-writing task, not only when SEO is named. (Pairs with the technical [[seo-standards]] skill, which covers the HTML/template/redirect side.)
memo-brain
管理和检索跨对话的上下文记忆。公开动作语义以 command-philosophy 为准。适用于“记住这个”“查记忆”“整理记忆”“看看当前状态”等场景。
agents-to-claude-md
Scans the current repo for AGENTS.md files, finds directories that lack a matching CLAUDE.md, translates each AGENTS.md to a CLAUDE.md draft (applying the Codex→Claude substitution table), runs a /where-claude sanity check per candidate, and — with per-item approval — either writes the translated draft or invokes /init inline for a richer code-derived doc. Never overwrites an existing CLAUDE.md. Global and project-agnostic. Trigger when the user says "agents to claude md", "bootstrap claude md from agents md", "create claude md from agents md", "convert agents md to claude md", "init claude md from agents", "port agent docs to claude", or "agents-to-claude-md".
bootstrap-project
One-command Codex project setup orchestrator. Detects the stack, then runs root AGENTS.md setup, scoped AGENTS.md placement, Codex permission/config review, automation proposals, CI setup, and optional Obsidian Vault creation with approval gates. Global and project-agnostic. Trigger when the user says "bootstrap project", "bootstrap-project", "set up this repo for Codex", "onboard this project", or "run the full project setup".
claude-md-to-agents-md
Scans the current repo for CLAUDE.md files, finds directories that lack a matching AGENTS.md, translates each CLAUDE.md to an AGENTS.md draft (applying the Claude -> Codex substitution table), runs a $where-agents-md sanity check per candidate, and - with per-item approval - either writes the translated draft or invokes $init inline for a richer code-derived doc. Never overwrites an existing AGENTS.md. Global and project-agnostic. Trigger when the user says "claude md to agents md", "bootstrap agents md from claude md", "create agents md from claude md", "convert claude md to agents md", "port claude docs to codex", or "claude-md-to-agents-md".
claude-to-codex
Scans global/claude/skills/ and global/claude/agents/ for items missing from global/codex/skills/ and global/codex/agents/, presents the gap list for approval, then adapts each approved item to Codex format and writes it to the global/codex/ directory, then runs ./install.sh --codex. Project-local skill - only meaningful inside the AI-Tools repo. Trigger when the user says "sync from claude", "port claude skill to codex", "adapt claude to codex", "what claude skills are missing from codex", or "port this to codex".
codex-to-claude
Scans global/codex/skills/ and global/codex/agents/ for items missing from global/claude/skills/ and global/claude/agents/, presents the gap list for approval, then adapts each approved item to Claude Code format and writes it to the global/claude/ directory, then runs ./install.sh. Project-local skill — only meaningful inside the AI-Tools repo. Trigger when the user says "sync from codex", "port codex skill to claude", "adapt codex to claude", "what codex skills are missing from claude", or "port this to claude".
commit
Create a git commit following the Conventional Commits specification (conventionalcommits.org). Reads the diff, auto-infers scope from file paths, proposes type + scope + description + body, and shows the message for approval before committing. Supports optional push, language choice, Codex attribution, staging control, breaking-change marking, amend, and issue references. Global and project-agnostic. Trigger when the user says "commit", "make a commit", "commit my changes", "create a commit", "$commit", or "commit with conventional commits".
debate
Spawn Codex sub-agents to debate a topic, idea, proposal, or decision from multiple perspectives. A Proponent argues for it, a Critic argues against, an optional Devil's Advocate challenges both, and a Synthesizer produces a structured verdict. Use when you want rigorous multi-perspective analysis rather than a one-sided answer. Global and project-agnostic. Trigger when the user says "debate this", "debate idea", "argue both sides", "steelman and critique", "agents debate", "debate topic", "get multiple perspectives on", "challenge this idea", "play devil's advocate on", or "what are the arguments for and against".
diagnose-ci
Diagnose and fix GitHub Actions CI failures for the current repository. Fetches failing job logs via gh CLI, reproduces the failure locally, identifies the root cause (code bug, flaky test, or infra/config issue), proposes a targeted fix, applies it after approval, then offers to commit and push to re-trigger CI. Global and project-agnostic (requires gh CLI). Trigger when the user says "diagnose CI", "diagnose-ci", "why is CI failing", "CI is red", "fix CI failures", "debug GitHub Actions", "CI is broken", "what's failing in CI", or "CI keeps failing". SKIP when the user is asking about a non-GitHub CI system.
health-check
Periodic Codex repo health check orchestrator. Runs CI status, AGENTS.md staleness audit, documentation accuracy audit, and Obsidian Vault sync if present, pausing for approval between steps and producing one consolidated report. Global and project-agnostic. Trigger when the user says "health check", "health-check", "repo health", "check repo health", "repo maintenance", "run a health check", "audit the repo", "check everything", "periodic maintenance", or "check if everything is up to date". SKIP when the user only wants one specific audit.
obsidian-vault
Generate a comprehensive, ground-truth-anchored Obsidian Vault for any repository. The vault covers codebase understanding, execution planning, Architecture Decision Records (ADRs), session reasoning logs, and design tracking — structured for both human navigation and AI consumption. Creates the full folder skeleton, note templates, .obsidian/ config (plugin manifest, graph settings, CSS color snippets), tag taxonomy, AI context file, and a starter architecture canvas. Idempotent: detects an existing vault and offers update vs fresh create. Global and project-agnostic. Trigger when the user says "create obsidian vault", "set up obsidian vault", "init vault", "scaffold vault for this repo", "obsidian-vault", or "create vault". SKIP when the user is asking about an existing vault they manage manually or wants only a specific part (e.g. just a template).
obsidian-vault-sync
Audit and maintain an existing Obsidian Vault against the current state of the repository it covers. Runs two parallel read-only scans (codebase + vault), produces a structured audit report across 11 checks (missing coverage, stale notes, dead wikilinks, orphan notes, tag drift, frontmatter drift, ADR staleness, canvas freshness, _AI-CONTEXT.md drift, Dataview query health, plugin recommendations), then applies fixes only after per-item user approval. Global and project-agnostic; pairs with the obsidian-vault creation skill. Trigger when the user says "maintain obsidian vault", "sync obsidian vault", "update obsidian vault", "audit obsidian vault", "obsidian-vault-sync", "vault is out of date", "update vault", "sync vault", or "check vault". SKIP when the user is asking about creating a new vault from scratch (use obsidian-vault instead).
port-project-claude
Scans the current project's .agents/skills/ and .codex/agents/ directories for items missing from the project's .claude/skills/ and .claude/agents/ directories, presents the gap list for approval, adapts each approved item to Claude Code format, and writes to the project-local .claude/ directory. Never writes to global ~/.claude/ or modifies .agents/ or .codex/. Trigger when the user says "port project claude", "port-project-claude", "replicate project codex skills for claude", "sync project codex to claude", "bring codex skills into claude", "copy project codex", or "port project skills to claude".
port-project-codex
Scans the current project's .claude/skills/ and .claude/agents/ directories for items missing from the project's .agents/skills/ and .codex/agents/ directories, presents the gap list for approval, adapts each approved item to Codex format, and writes to project-local Codex paths. Never writes to global ~/.codex/ or modifies .claude/. Global and project-agnostic. Trigger when the user says "port project codex", "port-project-codex", "replicate project claude skills for codex", "sync project .claude to .agents", "sync project .claude to .codex", "bring claude skills into codex", "copy project claude", or "port project skills to codex".
pr
Create or update a GitHub Pull Request from the current branch. Reads all commits since the base branch, auto-generates a structured PR title and body (Summary / Changes / Test Plan sections), infers labels from commit types, and shows everything for approval before running gh pr create. Handles push if needed and detects existing PRs. Global and project-agnostic. Trigger when the user says "create a PR", "open a pull request", "make a PR", "$pr", "submit PR", or "push and open a PR".
propose-automation
Scan the current repository, infer its workflow, and propose a short, ranked, high-ROI plan of Codex skills, custom agents, hooks, or plugins tailored to it; scaffold only approved items. Global and project-agnostic. Trigger when the user says "what Codex skills should this project have", "propose automation", "set up skills for this repo", "scaffold agents/hooks", "plan Codex automation", or "what should I automate".
setup-ci
Analyze a GitHub repository and propose or improve a GitHub Actions CI setup with clearly separated jobs — one job per concern — so each check shows independently in the GitHub PR and Actions UI. Global and project-agnostic. Trigger when the user says "set up CI", "setup-ci", "add GitHub Actions", "propose CI jobs", "improve my CI", "add CI pipeline", "set up GitHub Actions workflow", "create GitHub Actions tests", or "suggest CI checks". SKIP when the user is asking about a non-GitHub CI system (Jenkins, CircleCI, GitLab CI) — this skill is GitHub Actions only.
setup-permissions
Scan the current repository's stack and propose scoped Codex sandbox, trust, and command-approval guidance for common test, lint, build, package, git, and external-tool workflows. Writes only after explicit approval. Global and project-agnostic. Trigger when the user says "set up permissions", "setup-permissions", "configure Codex permissions for this repo", "what permissions do I need", "allowlist commands for this project", or "configure Codex approvals".
sync-claude-permissions
Translates current-project Codex permission rules (.codex/rules/default.rules prefix_rule blocks only, not personal ~/.codex rules) into Claude Code permission entries (.claude/settings.local.json), computes the gap against already-present rules, and presents portable rules for per-rule approval grouped by category before writing. Global and project-agnostic. Trigger when the user says "sync claude permissions", "sync-claude-permissions", "port project codex rules to claude", "translate project codex permissions", "replicate project codex allow rules", or "bring project codex permissions into claude".
sync-codex-permissions
Translates current-project Claude Code permission rules (.claude/settings.local.json permissions.allow and permissions.deny Bash entries only) into Codex prefix_rule blocks in .codex/rules/default.rules, computes the gap against existing project-local Codex rules, and presents portable rules for per-rule approval before writing. Global and project-agnostic. Trigger when the user says "sync codex permissions", "sync-codex-permissions", "port project claude permissions to codex", "translate project claude permissions", "replicate project claude allow rules", or "bring project claude permissions into codex".
tag
Create a SemVer annotated git tag on main by inferring the bump type (major/minor/patch) from conventional commits since the last tag, push the tag to remote, and optionally create a GitHub Release via gh. Global and project-agnostic. Trigger when the user says "tag main", "create a tag", "tag release", "cut a release", "release v1.2.3", "tag version", "bump version and tag", "create a release", "release this", or "$tag". SKIP when the user is asking about Docker image tags or non-git tagging.
where-agents-md
Scan the current repository and recommend which directories deserve their own scoped Codex AGENTS.md or AGENTS.override.md instruction file, as a ranked report with one-line rationales. Does not generate files. Trigger when the user says "where should AGENTS.md go", "which directories need AGENTS.md", "where-agents-md", "scout AGENTS.md placement", "find nested AGENTS.md candidates", or "where should Codex instructions live".
where-claude
Scan the current repository and recommend which directories deserve their own nested CLAUDE.md file (i.e. where to run /init), as a ranked report with a one-line rationale per directory. Global and project-agnostic. Does NOT generate the files - it tells you where /init is worth running. Trigger when the user says "where should I run /init", "which directories need a CLAUDE.md", "where-claude", "scout claude.md placement", or "find nested CLAUDE.md candidates".
up-init
Initialize a new project from the Unpack template
spec-driven-collaboration
Generate self-contained collaboration documents for sharing issues with external AI systems (Gemini, ChatGPT, etc.) with structural anti-skip enforcement (Execute-Verify-Record pattern at every step). Interactively gathers context, reads actual code files, loads constitutional constraints, and produces a complete 10-section package ready to paste into the target LLM. Use when the user wants to collaborate with another AI, share an issue for joint problem-solving, get a fresh perspective from a peer LLM, or needs help from an external AI that doesn't have access to the codebase. Make sure to use this skill whenever the user mentions cross-AI collaboration, sharing issues with Gemini/ChatGPT/Copilot, peer review from another AI, or wants a second opinion from an external LLM.
openai-docs
Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains.
andie
Compact plan-first orchestration layer. Routes work, loads the right specialist shape, keeps HITL gates, uses OODA, preserves brownfield bug handoff to Andie Jr, and hands off executable plans instead of doing implementation.
andie-guru
Feynman-style explainer for Andie and specialist output. Called ONLY when user explicitly asks. Explains any specialist or Andie output in plain language — 50 words Feynman + 100 words summary with Technical, Business, and Functional bullets. Never auto-loaded.
andie-jr
Compact brownfield debug assistant. Handles bugs, regressions, stack traces, and "not working" cases only. No mode dance. Max 2 rounds, max 3 roles, always returns problem, root cause, fix, why, audit note, and commit suggestion.
tools-landscape
Tool and product registry for Andie pre-flight. Maps problem types to tool options with tradeoffs. Covers LLMs, vector DBs, streaming, orchestration, IaC, monitoring, secrets, CI/CD, search, auth, open source infra, and cloud platforms. Load when a tool selection decision is in scope.
changelog
Update a project CHANGELOG.md or equivalent session log with concise notes about completed changes, decisions, and known issues.
claude-server
Starts a Claude Code remote-control server via `claude remote-control --spawn worktree`, running in an isolated git worktree so remote work doesn't touch local changes, and returns the connection info for claude.ai/code and the Claude mobile app. Use when the user wants to control this project remotely, asks to "start the remote server", "connect from my phone/mobile", "access this from claude.ai", or "spin up claude-server".
commit-push-pr
Commit current work, push the branch, and create a GitHub pull request with a concise title, body, and verification notes.
handoff
Generate a concise session handoff for resuming work later, including current state, decisions, open issues, and next steps.
kickoff
Scaffolds a new project in the current directory — creates CLAUDE.md, CHANGELOG.md, .gitignore, README.md, and a source dir, initializes git with a first commit, and offers to create a GitHub repo. Prompts for project name, description, and language/framework first. Use when the user wants to "start a new project", "bootstrap a repo", "set up a fresh project", "scaffold a codebase", or "kick off" a new build from scratch.
log-error
Records a recurring failure into ERRORS.md — classifies it (hallucination, instruction-ignored, context-lost, wrong-tool, incomplete, external), captures the goal, exact error, attempts tried, root cause, and lesson, then commits it; also logs wins on request. Use when the same error keeps recurring, an approach repeatedly fails, the user says "log this error", "document this failure", "this keeps happening", or "log that as a win" after a success.
repo-health
Produce a read-only repository health briefing covering stack, git state, setup, tests, dependencies, blockers, and next steps.
review
Review recent or specified code changes for correctness, security, quality, and missing verification. Use when the user asks for a review, pre-ship check, PR review, or quality/security pass.
simplify
Review and simplify recently changed code by removing unnecessary complexity without changing behavior. Use when the user asks to simplify, reduce over-engineering, clean up a patch, or make code easier to maintain.
paper-visualizer
Transform research papers into professional visual schemas. Analyzes paper logic, selects optimal layout patterns, and generates detailed prompts for AI image generation.
index
**Bare-slash canonical (Claude Code).** `/index` resolves to this skill when both aria-knowledge and aria-cowork are loaded in the same session. RUNTIME GATE: if invoked from a non-Code runtime (no Bash tool available, e.g., Claude Cowork), the Runtime Gate section surfaces a notification suggesting `/aria-cowork:index` and requires explicit user confirmation before proceeding — even in `auto` mode (ADR-094 §Part 3). Rebuild the knowledge tag index. Scans promoted files, normalizes tags, flags untagged files, suggests freeform-to-known promotions, detects stale files, suggests cross-references, updates project-to-tag mappings, and regenerates index.md. Use when user says '/index', 'rebuild index', 'update index', 'reindex knowledge'. Also called automatically by /audit-knowledge.
intake
**Bare-slash canonical (Claude Code).** `/intake` resolves to this skill when both aria-knowledge and aria-cowork are loaded in the same session. RUNTIME GATE: if invoked from a non-Code runtime (no Bash tool available, e.g., Claude Cowork), the Runtime Gate section surfaces a notification suggesting `/aria-cowork:intake` and requires explicit user confirmation before proceeding — even in `auto` mode (ADR-094 §Part 3). Bulk import knowledge from files, directories, or URLs into the intake backlogs, OR capture a single doc with structured 5-section template (doc mode). Use when user says '/intake', '/intake doc', 'intake from', 'import knowledge from', 'scan this file for knowledge', 'extract from these docs', 'onboard this project', 'capture a doc', 'doc-anchored intake', 'log notes on this doc'. Unlike /extract (current conversation) or /clip (single item), /intake scans external sources in bulk and previews findings before staging. Doc mode produces one structured entry under intake/docs/ with claims / wort
meeting-notes
**Bare-slash canonical (Claude Code).** `/meeting-notes` resolves to this skill when both aria-knowledge and aria-cowork are loaded in the same session. RUNTIME GATE: if invoked from a non-Code runtime (no Bash tool available, e.g., Claude Cowork), the Runtime Gate section surfaces a notification suggesting `/aria-cowork:meeting-notes` and requires explicit user confirmation before proceeding — even in `auto` mode (ADR-094 §Part 3). NOTE: paste-text fallback works without MCPs, but ~~docs MCPs (Notion, Confluence, Granola) are typically only connected in Cowork — the Cowork variant has better fidelity for MCP-sourced meetings. Fold a meeting transcript or notes into structured intake. Use when user says '/meeting-notes', 'capture meeting notes', 'fold this meeting transcript', 'process this Granola export', 'archive this standup'. Accepts a ~~docs URL (Notion meeting page, Confluence) OR pasted transcript text — unique among MCP-consuming skills in offering a paste fallback when no ~~docs MCP is connected.
prospect
**Bare-slash canonical (Claude Code).** `/prospect` resolves to this skill when both aria-knowledge and aria-cowork are loaded in the same session. RUNTIME GATE: if invoked from a non-Code runtime (no Bash tool available, e.g., Claude Cowork), the Runtime Gate section surfaces a notification suggesting `/aria-cowork:prospect` and requires explicit user confirmation before proceeding — even in `auto` mode (ADR-094 §Part 3). Run a structured pre-mortem on a plan or approach BEFORE execution. Per-step risk enforcement, active evidence-sourcing pass (autonomous lookups + targeted user-asks for anything that could become objective), simpler-alternative discipline, plan-formation diagnosis, action verdicts (PROCEED/SHRINK/SPLIT/DEFER/KILL), and a growing failure-mode pattern library. Triggers: '/prospect' (defaults to plan scope), '/prospect plan', '/prospect session', '/prospect todos', '/prospect file <path>', '/prospect linear <id>', '/prospect branch <name>'. Backward-compat flags (--plan, --linear, --branch, -
retrospect
**Bare-slash canonical (Claude Code).** `/retrospect` resolves to this skill when both aria-knowledge and aria-cowork are loaded in the same session. RUNTIME GATE: if invoked from a non-Code runtime (no Bash tool available, e.g., Claude Cowork), the Runtime Gate section surfaces a notification suggesting `/aria-cowork:retrospect` and requires explicit user confirmation before proceeding — even in `auto` mode (ADR-094 §Part 3). Run a structured retrospective on a shipped commit range, release, deployment, PR, commit, or session. Per-fix validation enforcement, active evidence-sourcing pass (autonomous lookups + targeted user-asks for anything that could become objective), simpler-alternative discipline, re-diagnosis, action verdicts, and a growing failure-mode pattern library. Triggers: '/retrospect' (auto-range), '/retrospect commit <hash>', '/retrospect range <ref1>..<ref2>', '/retrospect pr <num>', '/retrospect session', '/retrospect release', '/retrospect deployment'. Backward-compat flags (--range, --pr,
rules
**Bare-slash canonical (Claude Code).** `/rules` resolves to this skill when both aria-knowledge and aria-cowork are loaded in the same session. RUNTIME GATE: if invoked from a non-Code runtime (no Bash tool available, e.g., Claude Cowork), the Runtime Gate section surfaces a notification suggesting `/aria-cowork:rules` and requires explicit user confirmation before proceeding — even in `auto` mode (ADR-094 §Part 3). Quick lookup into working rules. Use when user says '/rules', '/rules 22', '/rules dependencies', 'look up rule about...', 'what rule covers...', or references a specific rule number.
stats
**Bare-slash canonical (Claude Code).** `/stats` resolves to this skill when both aria-knowledge and aria-cowork are loaded in the same session. RUNTIME GATE: if invoked from a non-Code runtime (no Bash tool available, e.g., Claude Cowork), the Runtime Gate section surfaces a notification suggesting `/aria-cowork:stats` and requires explicit user confirmation before proceeding — even in `auto` mode (ADR-094 §Part 3). Show knowledge base health metrics — file counts, backlog depth, audit status, codemap dates, tag stats, and coverage gaps. Use when user says '/stats', 'knowledge stats', 'how is my knowledge base', 'show stats', 'knowledge health', 'dashboard'.
stitch
Build or verify cross-repo STITCH.md linking backend + frontends in a product group. Modes: create, verify, diff, section. Uses CODEMAPs as drift source by default. Trigger: '/stitch create <group>', '/stitch diff <group>'.
sync-decisions
**Bare-slash canonical (Claude Code).** `/sync-decisions` resolves to this skill when both aria-knowledge and aria-cowork are loaded in the same session. RUNTIME GATE: if invoked from a non-Code runtime (no Bash tool available, e.g., Claude Cowork), the Runtime Gate section surfaces a notification suggesting `/aria-cowork:sync-decisions` and requires explicit user confirmation before proceeding — even in `auto` mode (ADR-094 §Part 3). NOTE: this skill requires connected ~~docs MCPs with WRITE access (Notion, Confluence, Google Docs), which are typically only present in Cowork — the Code variant exists for parity but most users will want the Cowork variant. Mirror approved decisions from the knowledge folder out to a connected ~~docs MCP (Notion, Confluence, Google Docs). Use when user says '/sync-decisions', 'mirror decisions to Notion', 'push decisions to wiki', 'sync ADRs to Confluence', 'export decisions externally'. WRITE-side skill — embeds Rule 22 advisory preamble per ADR-016 and requires explicit per-
wrapup
**Bare-slash canonical (Claude Code).** `/wrapup` resolves to this skill when both aria-knowledge and aria-cowork are loaded in the same session. RUNTIME GATE: if invoked from a non-Code runtime (no Bash tool available, e.g., Claude Cowork), the Runtime Gate section surfaces a notification suggesting `/aria-cowork:wrapup` and requires explicit user confirmation before proceeding — even in `auto` mode (ADR-094 §Part 3). Close out a session cleanly when the work is done — no passoff intended. Reviews session work, updates PROGRESS.md / CLAUDE.md / memory, commits changes, captures session knowledge via /extract, and confirms everything is wrapped up, captured, and documented. Use when the task is complete and nothing needs to carry into a next session. For passoff to future-you (e.g. context is high, need to restart) or a coworker, use /handoff instead. Triggers: '/wrapup', '/wrapup auto', 'wrap up', 'wrap it up', "I'm done", 'close out', 'finish session', 'end session', 'saying goodbye'. Auto mode applies impl
llm-wiki
Maintain a persistent, compounding LLM-maintained markdown wiki for daily AI conversations and sources. Use when the user asks to 沉淀/记录/归档/整理 AI 对话、更新或查询 llm_wiki、ingest a source into the wiki, file an answer back into the knowledge base, run wiki lint/health checks, or apply Karpathy's LLM Wiki pattern to personal/team/research notes.
agent-framework-azure-ai-py
Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
agentic-actions-auditor
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches. AI agents running in CI/CD pipelines.
ai-engineer
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.
ai-seo
Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citation readiness.
ai-wrapper-product
Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc. ) into focused tools people will pay for. Not just "ChatGPT but different" - products that solve specific problems with AI.
alibaba-java-coding-guidelines-skill
Use when 需要按 Alibaba Java Coding Guidelines（阿里巴巴 Java 编码规范）审查、生成或重构 Java、Spring、MyBatis、Maven、MySQL、SQL、日志、异常、安全或数据库相关代码。
engram-ingest
Bulk-load files, directories, or exported chat histories into Engram; export memories to markdown
cm-video-factory
Private Code-to-Video Engine using Remotion React, TTS (ElevenLabs/OpenAI), and Content Mastery. Creates pure VibeCoding-style animations for TikTok/Shorts/Reels automatically.
codex
OpenAI Codexにプロンプトを投げて結果を返す。Use when user says "codex", "Codex", "Codexに聞いて", or "Codexで"
web-skills-protocol
Auto-discover and use Web Skills Protocol (WSP) skills when interacting with websites. Use this skill whenever the user asks you to interact with, use, or perform actions on a website or web service — such as searching a site, placing an order, deploying an app, or calling a web API. Before scraping HTML or guessing at interfaces, check if the site publishes a skills.txt or agents.txt file that teaches you how to use it properly. If a website has complex elements (e.g., heavy JavaScript, interactive UIs), activating this skill can also help you understand the site's purpose and capabilities. Do NOT use for local file operations or non-web tasks.
ms-agent-framework-rag
Comprehensive guide for building Agentic RAG systems using Microsoft Agent Framework in C#. Use when creating RAG applications with semantic search, document indexing, and intelligent agent orchestration. Includes scaffolding scripts, reference implementations, and documentation for vector databases, embedding models, and multi-agent workflows.
claude-api
Anthropic Claude API: prompt caching, streaming, tool use, batch processing, model selection, cost optimization
modal
- User is deploying ML/AI workloads to Modal (modal.com) - Code imports `modal` or references `@app.function`, `@app.cls`, `Stub`, `App` - User needs serverless GPU compute for inference, fine-tuning,
vercel-ai-sdk
Vercel AI SDK: streaming AI responses to Next.js, useChat/useCompletion hooks, tool calls, generative UI, multi-provider routing (Claude, OpenAI, Gemini)
the-council
Multi-model advisory board using OpenAI Codex CLI and Google Antigravity CLI (agy) to provide second opinions on code reviews, architecture plans, debugging, and general engineering decisions. Invoke when the user requests a "council" review, wants a second opinion from other AI models, asks for multi-model consensus, or says "ask the council". Also invoke proactively when making high-stakes architectural decisions or when a code review checkpoint is reached.
seobuild-onpage
Write SEO pages that rank on Google AND get cited by LLMs. Uses live SERP data, 500-token chunk architecture, and the Reddit Test quality gate. Triggers on: "write an SEO page", "seo-agi", "seo page for [keyword]", "rank for [keyword]", "rewrite this page for SEO", "GEO", "AEO", "write a page that ranks".
geo-rewrite
Rewrite AEM Edge Delivery Services page content for AI search discoverability (GEO — Generative Engine Optimization). Analyzes content structure, semantic clarity, and factual density, then produces optimized rewrites that rank in both traditional search and AI-powered search engines. Use when optimizing pages for search visibility, AI discoverability, or content clarity.
cost-tracking
Use when the user wants to capture AI tool costs, review spending trends, set cost budgets, or integrate cost data into health snapshots — guides quarterly cost capture, records data in a structured format, and updates MODEL_ROUTING.md with observed cost patterns
analytics-metrics
Build data visualization and analytics dashboards. Use when creating charts, KPI displays, metrics dashboards, or data visualization components. Triggers on analytics, dashboard, charts, metrics, KPI, data visualization, Recharts.
aws-agentcore
Build AI agents with AWS Bedrock AgentCore. Use when developing agents on AWS infrastructure, creating tool-use patterns, implementing agent orchestration, or integrating with Bedrock models. Triggers on keywords like AgentCore, Bedrock Agent, AWS agent, Lambda tools.
aws-strands
Build AI agents with Strands Agents SDK. Use when developing model-agnostic agents, implementing ReAct patterns, creating multi-agent systems, or building production agents on AWS. Triggers on Strands, Strands SDK, model-agnostic agent, ReAct agent.
bun
Build fast applications with Bun JavaScript runtime. Use when creating Bun projects, using Bun APIs, bundling, testing, or optimizing Node.js alternatives. Triggers on Bun, Bun runtime, bun.sh, bunx, Bun serve, Bun test, JavaScript runtime.
cloudflare
Build and deploy on Cloudflare's edge platform. Use when creating Workers, Pages, D1 databases, R2 storage, AI inference, or KV storage. Triggers on Cloudflare, Workers, Cloudflare Pages, D1, R2, KV, Cloudflare AI, Durable Objects, edge computing.
copilot-docs
Configure GitHub Copilot with custom instructions. Use when setting up .github/copilot-instructions.md, customizing Copilot behavior, or creating repository-specific AI guidance. Triggers on Copilot instructions, copilot-instructions.md, GitHub Copilot config.
fal-ai
Generate images, videos, and audio with fal.ai serverless AI. Use when building AI image generation, video generation, image editing, or real-time AI features. Triggers on fal.ai, fal, AI image generation, Flux, SDXL, real-time AI, serverless AI.
figma
Integrate with Figma API for design automation and code generation. Use when extracting design tokens, generating React/CSS code from Figma components, syncing design systems, building Figma plugins, or automating design-to-code workflows. Triggers on Figma API, design tokens, Figma plugin, design-to-code, Figma export, Figma component, Dev Mode.
github-trending
Fetch and display GitHub trending repositories and developers. Use when building dashboards showing trending repos, discovering popular projects, or tracking GitHub trends. Triggers on GitHub trending, trending repos, popular repositories, GitHub discover.
langchain
Build LLM applications with LangChain and LangGraph. Use when creating RAG pipelines, agent workflows, chains, or complex LLM orchestration. Triggers on LangChain, LangGraph, LCEL, RAG, retrieval, agent chain.
mermaid-diagrams
Create diagrams and visualizations using Mermaid syntax. Use when generating flowcharts, sequence diagrams, class diagrams, entity-relationship diagrams, Gantt charts, or any visual documentation. Triggers on Mermaid, flowchart, sequence diagram, class diagram, ER diagram, Gantt chart, diagram, visualization.
mobile-responsiveness
Build responsive, mobile-first web applications. Use when implementing responsive layouts, touch interactions, mobile navigation, or optimizing for various screen sizes. Triggers on responsive design, mobile-first, breakpoints, touch events, viewport.
mongodb
Work with MongoDB databases using best practices. Use when designing schemas, writing queries, building aggregation pipelines, or optimizing performance. Triggers on MongoDB, Mongoose, NoSQL, aggregation pipeline, document database, MongoDB Atlas.
nano-banana-pro
Generate images with Google's Nano Banana Pro (Gemini 3 Pro Image). Use when generating AI images via Gemini API, creating professional visuals, or building image generation features. Triggers on Nano Banana Pro, Gemini 3 Pro Image, gemini-3-pro-image-preview, Google image generation.
owasp-security
Implement secure coding practices following OWASP Top 10. Use when preventing security vulnerabilities, implementing authentication, securing APIs, or conducting security reviews. Triggers on OWASP, security, XSS, SQL injection, CSRF, authentication security, secure coding, vulnerability.
railway
Deploy applications on Railway platform. Use when deploying containerized apps, setting up databases, configuring private networking, or managing Railway projects. Triggers on Railway, railway.app, deploy container, Railway database.
shabbat-times
Access Jewish calendar data and Shabbat times via Hebcal API. Use when building apps with Shabbat times, Jewish holidays, Hebrew dates, or Zmanim. Triggers on Shabbat times, Hebcal, Jewish calendar, Hebrew date, Zmanim.
ux-design-systems
Build consistent design systems with tokens, components, and theming. Use when creating component libraries, implementing design tokens, building theme systems, or ensuring design consistency. Triggers on design system, design tokens, component library, theming, dark mode.
vercel
Deploy and configure applications on Vercel. Use when deploying Next.js apps, configuring serverless functions, setting up edge functions, or managing Vercel projects. Triggers on Vercel, deploy, serverless, edge function, Next.js deployment.
web-accessibility
Build accessible web applications following WCAG guidelines. Use when implementing ARIA patterns, keyboard navigation, screen reader support, or ensuring accessibility compliance. Triggers on accessibility, a11y, WCAG, ARIA, screen reader, keyboard navigation.
controlflow-router-misplaced
Misplaced skill fixture - intentionally inside .claude-plugin/skills/ to test layout validation.
codex
Use when Claude wants a read-only second opinion from OpenAI Codex CLI on: exploring an unfamiliar codebase, reviewing a plan/design .md, or reviewing a PR diff. Codex runs sandboxed read-only (no writes, no prompts, no network).
aider-cli
Aider CLI orchestration through `bash.exec`. Use when the user explicitly wants to run aider from shell, install aider, choose provider-specific models, or execute one-shot `aider --message` edits against selected files or a repo.
automation
Automation management via `automation.*` tools. Use when the user explicitly wants to create, inspect, update, list, or delete cron or webhook automations.
claude-code
Anthropic Claude Code orchestration through `bash.exec`. Use when the user explicitly wants to run Claude Code from shell, install or authenticate the `claude` CLI, choose model aliases such as `sonnet` or `opus`, or execute non-interactive `claude -p` workflows.
codex-cli
OpenAI Codex CLI orchestration through `bash.exec`. Use when the user explicitly wants to run Codex from shell, install or authenticate Codex CLI, choose a Codex/OpenAI model, or execute one-shot `codex exec` or `codex review` workflows against a repo.
gemini-cli
Google Gemini CLI orchestration through `bash.exec`. Use when the user explicitly wants to run Gemini from shell, install or authenticate the `gemini` CLI, choose a Gemini model, or execute one-shot `gemini -p` workflows against a repo or prompt.
imap
Mailbox search via `app.run` for `imap`. Use when searching email messages in IMAP mailboxes and resolving the needed credential profile.
partyflow
PartyFlow bot operations through `app.run`. Use when sending messages to PartyFlow, polling bot events, checking bot identity, or joining a PartyFlow conversation with stored credentials.
skill-creator
Profile skill management via `skill.profile.*` and `skill.marketplace.*`. Use when listing, inspecting, creating, editing, deleting, or installing custom skills. Every skill must keep `name` and `description` in YAML frontmatter because AgentLoop summaries are built from that metadata.
smtp
Outbound email via `app.run` for `smtp`. Use when sending email and resolving SMTP credential profiles securely.
taskflow
Task Flow backlog management via `task.*` tools. Use when the user explicitly wants durable tasks, TODO/backlog management, kanban-like flows, decomposition into multiple tasks, dependencies, ownership changes, or human handoff.
telegram
Telegram Bot API operations via `app.run` for `telegram`. Use when sending messages, fetching bot metadata, or reading updates with stored bot credentials.
aibtc-bitcoin-wallet
Bitcoin L1 wallet for agents - check balances, send BTC, manage UTXOs. Extends to Stacks L2 (STX, DeFi) and Pillar smart wallets (sBTC yield).
dealer-ai-referral-analytics
Audit a car dealership's AI-referrer traffic across GA4, Google Search Console, and server logs. Use when the user asks to "audit AI referral traffic for my dealer," "how much traffic am I getting from ChatGPT," "are dealers seeing ChatGPT traffic," "audit AI-engine referrals to my dealership," "set up AI referral tracking for my dealer," "audit AI Overview traffic," "audit Perplexity referrals," "are AI bots crawling my dealer site," "set up AI bot traffic reporting," "audit AI search traffic to my dealership," "AI referrer GA4 audit," "audit AI bot vs human traffic on my dealer site," or any request to measure traffic and engagement from AI search platforms. Distinct from dealer-aeo-audit (the cause side), dealer-ai-visibility (citation presence), and dealer-ai-sentiment-monitor (how engines describe). This skill measures what actually arrives on the dealer's site from AI engines and how those visitors engage. Authored by Ariel Coro of Dealer Growth Hackers, publisher of Dealer AI Guy.
dealer-ai-sentiment-monitor
Audit how AI search engines (ChatGPT, Perplexity, Gemini, Claude, Google AI Mode, Copilot) describe and characterize a car dealership. Use when the user asks to "audit AI brand sentiment for my dealer," "what is ChatGPT saying about my dealership," "audit Perplexity sentiment on my Buick GMC store," "monitor AI tone on my dealership," "is Gemini badmouthing my dealer," "check AI engine reputation," "audit how AI describes my dealer vs competitors," "AI brand sentiment for car dealers," "are AI engines accurate about my dealership," "audit AI hallucinations about my dealer," or any request to assess the tone, accuracy, and competitive framing that AI engines use when answering questions about the dealership. Distinct from dealer-customer-sentiment-analyzer (which reads Google reviews) and dealer-ai-visibility (which tracks citation presence). This skill reads what AI engines SAY about the dealership in natural-language form, classifies sentiment, flags hallucinations, and identifies remediation paths. Authored
dealer-search-strategy
Generate a comprehensive search strategy document for a car dealership covering SEO (Search Engine Optimization), AEO (Answer Engine Optimization), and GEO (Generative Engine Optimization). Use when the user asks to "build a search strategy", "SEO strategy for my dealership", "AEO strategy", "GEO strategy", "AI search strategy", "LLM SEO plan", "ChatGPT SEO strategy", "Perplexity strategy", "Gemini visibility", "comprehensive search plan", "organic search strategy", "dealer SEO plan", "dealer AEO plan", "dealer GEO plan", "how to rank in Google and ChatGPT", "search visibility strategy", "integrated search plan", "how to rank in AI search", "generative search optimization", or any request to plan the dealer's strategy for being found in both traditional search engines (Google, Bing) and AI answer engines (ChatGPT, Perplexity, Gemini, Claude, Copilot). Clarifies the difference between SEO, AEO, and GEO and produces a unified strategy that addresses all three. Pairs with dealer-aeo-audit, dealer-site-score, dea
dealer-seo-audit
Run a comprehensive traditional Google SEO audit on a car dealership website. Use when the user asks to "audit my dealer SEO", "SEO audit for my dealership", "why am I not ranking", "technical SEO audit for dealer", "on-page SEO audit", "indexation issues", "keyword cannibalization at my dealership", "internal linking audit", "hreflang audit for bilingual dealer", "Spanish-language SEO", "local SEO audit for car dealer", "site SEO health check", "my dealer site isn't ranking", "Google update hit my dealership", "lost rankings", "crawl errors", or any request to evaluate or improve traditional Google search ranking for a car dealer site. Covers crawlability, indexation, on-page SEO (titles, metas, headings, keyword targeting), content quality and E-E-A-T, internal linking, URL structure, local SEO (NAP, GBP, location pages, "near me" optimization), inventory feed SEO (Vehicle schema, VDP freshness, no duplicate descriptions), hreflang for bilingual sites, and dealer-specific patterns (aged inventory, OEM-manda
aichat
All-in-one LLM CLI tool for sending prompts, switching models, piping stdin, including files, and using roles/sessions. Use as an AI adapter for shell workflows.
claude-api
Build apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic SDKs, or Agent SDK. DO NOT TRIGGER when: code imports `openai`/other AI SDK, general programming, or ML/data-science tasks.
reddit-intel
Scrape Reddit posts by keyword, classify intent and sentiment by industry, translate to Chinese, and export a bilingual Excel intelligence report. Trigger when user says: scrape reddit, reddit analysis, reddit insights, monitor reddit, 爬reddit, reddit舆情, reddit帖子分析, 分析reddit, reddit监控, 帮我看看reddit上, reddit上有什么人说
release-notes
Analyzes git commit and PR history to generate structured release notes (RELEASE_NOTES.md). Automatically categorizes changes, identifies contributors, and produces a polished release document through a brief confirmation interview.
spec-interview
Conducts a deep, multi-round interview to clarify ambiguous requirements and produces a structured specification document. Automatically discovers requirement files and asks probing, non-obvious questions across technical implementation, UX/UI, trade-offs, edge cases, and architectural decisions.
fused-integrations
Reference for using Fused's built-in integration connections inside UDFs. Covers data sources (Snowflake, BigQuery, GCS, S3, Airtable, Notion, Google Drive), compute/inference providers (Modal, Hugging Face, Baseten, Daytona, ComfyOrg, Slack), and LLM providers (Anthropic, OpenAI) — the fused.api connect helpers, secrets access, and common operations (query, write, list, invoke, infer). Use when the user is writing a UDF that reads from, writes to, or calls out to a connected service.
access
Manage WeChat channel access — approve pairings, edit allowlists, set DM policy. Use when the user asks to pair, approve someone, check who's allowed, or change policy for the WeChat channel.
configure
Set up the WeChat channel — scan QR code to login, check channel status. Use when the user asks to configure WeChat, login, or check channel status.
rag-debug
Diagnose RAG pipeline issues — check Qdrant collection, embedding provider, MinIO storage, and recent chunk uploads
prompt-to-drawio-skill
Generate and edit draw.io artifacts from natural-language prompts without a frontend. Use when the user asks for prompt-to-diagram workflows that need `.drawio` output, optional image export (`png`/`svg`/`pdf`/`jpg`), context ingestion (image/PDF/text/URL), shape-library lookup, or visual validation loops.
agent-command-coach
Use this skill when a user needs help commanding AI agents such as Claude Code, Cursor, Codex, or ChatGPT to plan, build, review, fix, and launch an MVP.
plan-design
Design planning entry point — reads DESIGN.md, CONTEXT.md, and ADRs plus a Linear issue, identifies all UI surfaces that need design, lets you choose which to work through, then for each surface conducts an alignment interview, generates three layout-archetype mockups via OpenAI image generation, lets you pick one, produces an HTML/CSS implementation, and attaches it to the Linear issue. Use when starting design work on any feature, when you need visual options before committing to layout, or any time you want a Linear ticket to carry its own design artifacts.
agno
Build production AI agents with Agno (formerly Phidata) — define Agent with model/tools/instructions/memory/knowledge, compose Agent Teams with coordinator routing, add Storage for persistence, and integrate RAG via built-in KnowledgeBase with PDF/URL/text sources.
secrets-scanner
Detect and remediate leaked credentials in code and git-history — entropy/regex scanning with gitleaks/trufflehog/detect-secrets, rotate-first incident response, and pre-commit/CI gating to prevent reoccurrence.
pmm-sherpa
Calling guide for the PMM Sherpa MCP, a senior product marketing advisor with a curated 38K-chunk corpus (PMM books, podcasts, AMAs, practitioner blogs). Sherpa exposes four tools: ask_sherpa (advisory dialogue), draft_artifact (39 named PMM deliverables), get_feedback (pressure-test user work), and scope_pmm_research (Deep Research planner). This skill prescribes orchestration, voice, and Deep Research phasing. Tool descriptions handle what each tool does.
consult
Get a second opinion from another AI: Codex or another Claude model. Read-only.
nvidia-developer-firehose
Real-time AI-ECOSYSTEM firehose (v3 multi-source, May 2026). Polls 12 Atom/RSS feeds every 30 min: NVIDIA (developer-blog + main-blog + newsroom), hyperscalers (Azure, AWS, AWS-ML, Meta-Engineering), AI labs (OpenAI, DeepMind, Hugging Face), and neoclouds (CoreWeave, Together AI). For each new post, uses HEURISTIC EXTRACTION + yfinance.Search to auto-resolve every mentioned company → US ticker (no hand-maintained name→ticker dict), with a persistent ticker cache that learns over time. Surfaces names via Telegram tagged by source, separated into 🎯 portfolio-tracked tickers vs 🔍 newly discovered tickers. Why it matters: hyperscalers + NVIDIA + AI labs publicly name 800V HVDC, CPO, optical, power, and custom-silicon partners — the forward-looking design ecosystem that re-rates weeks later when sell-side picks it up. (AMD has no public RSS — covered separately by SEC 8-K strategic-partner-firehose.) Triggers in English ("nvidia developer firehose", "ai ecosystem firehose", "ai partner monitor", "hyperscaler blo
bmad-agent-bmad-master
bmad-master agent
bmad-agent-bmb-agent-builder
agent-builder agent
bmad-agent-bmb-module-builder
module-builder agent
bmad-agent-bmb-workflow-builder
workflow-builder agent
bmad-agent-bmm-analyst
analyst agent
bmad-agent-bmm-architect
architect agent
bmad-agent-bmm-quick-flow-solo-dev
quick-flow-solo-dev agent
bmad-agent-bmm-tech-writer
tech-writer agent
bmad-agent-bmm-ux-designer
ux-designer agent
bmad-agent-cis-brainstorming-coach
brainstorming-coach agent
bmad-agent-cis-creative-problem-solver
creative-problem-solver agent
bmad-agent-cis-design-thinking-coach
design-thinking-coach agent
bmad-agent-cis-innovation-strategist
innovation-strategist agent
bmad-agent-cis-presentation-master
presentation-master agent
bmad-agent-cis-storyteller
storyteller agent
bmad-bmb-create-module-brief
Create product brief for BMAD module development
stop-slop-zh
Remove predictable AI writing patterns from Chinese prose. Use when drafting, editing, rewriting, or reviewing Chinese blogs, reports, essays, product analysis, and social posts to make them specific, natural, and authorial without changing facts.
spoonos-platform-integration
Deploy SpoonOS agents to messaging platforms and APIs. Use when integrating agents with Telegram, Discord, Slack, REST APIs, webhooks, or scheduled tasks.
imagegen
Use when the user asks to generate or edit images via the OpenAI Image API (for example: generate image, edit/inpaint/mask, background removal or replacement, transparent background, product shots, concept art, covers, or batch variants); run the bundled CLI (`scripts/image_gen.py`) and require `OPENAI_API_KEY` for live calls.
openai-docs
Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains.
sora
Use when the user asks to generate, remix, poll, list, download, or delete Sora videos via OpenAI’s video API using the bundled CLI (`scripts/sora.py`), including requests like “generate AI video,” “Sora,” “video remix,” “download video/thumbnail/spritesheet,” and batch video generation; requires `OPENAI_API_KEY` and Sora API access.
speech
Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts/text_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope.
transcribe
Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.
code
Send code changes from the current session to OpenAI Codex CLI for review. Codex reviews the diff for bugs, security, performance, and quality.
plan
Send the current plan to OpenAI Codex CLI for iterative review. Claude and Codex go back-and-forth until Codex approves the plan.
account-research
Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM. Trigger with "research [company]", "look up [person]", "intel on [prospect]", "who is [name] at [company]", or "tell me about [company]".
brand-voice
Apply and enforce brand voice, style guide, and messaging pillars across content. Use when reviewing content for brand consistency, documenting a brand voice, adapting tone for different audiences, or checking terminology and style guide compliance.
call-prep
Prepare for a sales call with account context, attendee research, and suggested agenda. Works standalone with user input and web research, supercharged when you connect your CRM, email, chat, or transcripts. Trigger with "prep me for my call with [company]", "I'm meeting with [company] prep me", "call prep [company]", or "get me ready for [meeting]".
campaign-planning
Plan marketing campaigns with objectives, audience segmentation, channel strategy, content calendars, and success metrics. Use when launching a campaign, planning a product launch, building a content calendar, allocating budget across channels, or defining campaign KPIs.
competitive-analysis
Research competitors and compare positioning, messaging, content strategy, and market presence. Use when analyzing a competitor, building battlecards, identifying content gaps, comparing feature messaging, or preparing competitive positioning recommendations.
competitive-intelligence
Research your competitors and build an interactive battlecard. Outputs an HTML artifact with clickable competitor cards and a comparison matrix. Trigger with "competitive intel", "research competitors", "how do we compare to [competitor]", "battlecard for [competitor]", or "what's new with [competitor]".
content-creation
Draft marketing content across channels — blog posts, social media, email newsletters, landing pages, press releases, and case studies. Use when writing any marketing content, when you need channel-specific formatting, SEO-optimized copy, headline options, or calls to action.
create-an-asset
Generate tailored sales assets (landing pages, decks, one-pagers, workflow demos) from deal context. Trigger with "/sales create-asset", "create an asset", "build a demo", "make a landing page", or "mock up a workflow".
data-context-extractor
Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. BOOTSTRAP MODE - Triggers: "Create a data context skill", "Set up data analysis for our warehouse", "Help me create a skill for our database", "Generate a data skill for [company]" → Discovers schemas, asks key questions, generates initial skill with reference files ITERATION MODE - Triggers: "Add context about [domain]", "The skill needs more info about [topic]", "Update the data skill with [metrics/tables/terminology]", "Improve the [domain] reference" → Loads existing skill, asks targeted questions, appends/updates reference files Use when data analysts want Claude to understand their company's specific data warehouse, terminology, metrics definitions, and common query patterns.
data-exploration
Profile and explore datasets to understand their shape, quality, and patterns before analysis. Use when encountering a new dataset, assessing data quality, discovering column distributions, identifying nulls and outliers, or deciding which dimensions to analyze.
data-validation
QA an analysis before sharing with stakeholders — methodology checks, accuracy verification, and bias detection. Use when reviewing an analysis for errors, checking for survivorship bias, validating aggregation logic, or preparing documentation for reproducibility.
data-visualization
Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.
interactive-dashboard-builder
Build self-contained interactive HTML dashboards with Chart.js, dropdown filters, and professional styling. Use when creating dashboards, building interactive reports, or generating shareable HTML files with charts and filters that work without a server.
performance-analytics
Analyze marketing performance with key metrics, trend analysis, and optimization recommendations. Use when building performance reports, reviewing campaign results, analyzing channel metrics (email, social, paid, SEO), or identifying what's working and what needs improvement.
sql-queries
Write correct, performant SQL across all major data warehouse dialects (Snowflake, BigQuery, Databricks, PostgreSQL, etc.). Use when writing queries, optimizing slow SQL, translating between dialects, or building complex analytical queries with CTEs, window functions, or aggregations.
statistical-analysis
Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing. Use when analyzing distributions, testing for significance, detecting anomalies, computing correlations, or interpreting statistical results.
integration
Bootstrap a new framework integration for apcore. Scaffolds the project with endpoint scanners, configuration system, context mapping, CLI commands, demo project, and Docker setup. Learns patterns from existing integrations (django-apcore, flask-apcore, nestjs-apcore).
setup
First-run guided setup for a fresh gAIOS clone. Interviews the user (identity, role, priorities, voice, connections, team, pain, guardrails) and fills the templates — CLAUDE.md, context/, references/voice.md, connections.md — then introduces the WAT / wiki / workflows / experiments features. Trigger on "/setup", "set me up", "get started", "onboard me", or a fresh clone where CLAUDE.md still has {{placeholders}}.
whisper-extract
Extract, transcribe, and summarize audio or video files using OpenAI Whisper. Use this skill whenever the user wants to transcribe audio or video, extract what was said in a recording, get a transcript of a meeting/interview/lecture/podcast, or generate a summary of spoken content. Also trigger when the user mentions files like .mp3, .mp4, .wav, .m4a, .ogg, .flac, .webm, .mkv, .mov and wants text out of them. Generates a .md file with an AI summary followed by the full literal transcript. También se activa en castellano: "transcribir", "transcripción", "extraer audio", "qué dice este audio", "transcribir reunión", "transcribir entrevista", "pasar audio a texto", "resumir grabación", "transcribir este video", "extraer texto de audio", "transcript", "whisper", "grabar y resumir".
lowcoder
Crea aplicaciones Lowcoder (low-code platform) desde código usando el SDK @aorizondo/lowcoder-agent-sdk-core o el MCP server @aorizondo/lowcoder-mcp-server. Usa esto cuando el usuario pida crear, modificar, listar o publicar dashboards, formularios, apps internas o paneles en Lowcoder. Cubre el catálogo completo de ~80 componentes nativos, queries (REST/JS/SQL), datasources (postgres/mysql/mongo/redis/s3/slack/openai/...), expresiones, plugins de usuario, SEO y deployment.
malicious-skill-data-exfil
Fixture for the data-exfiltration patterns. Designed to fire E2 (env harvesting), E3 (filesystem credential scan), and E4 (conversation export) in a single skill so the scanner regression test can assert the whole category at once.
context-hub
Use Context Hub (chub) for curated, versioned API/SDK docs and agent skills. Keep OpenAI tasks on official docs first (via `openai-docs` in Codex).
linuxdo
Read LINUX DO forum content via Discourse JSON API + Chrome Cookie auth. Actions: check login, latest topics, top/trending, full-text search, read topic details, browse categories. Keywords: linuxdo, linux.do, l站, 帖子, 搜索, 最新, 热门, 分类, discourse, forum.
guard-users-chatgpt
Guardrail policy for Chatgpt CLI: refuse catastrophic actions, require scoped approvals, and reduce secret leakage.
llm-evaluate
Evaluate LLM models for cost/performance ratio. Fetches current pricing and recommends optimal model for your use case. Use during project init or when optimizing costs.
check-error-handling
Validates error handling follows RunnerError pattern, detects anyhow regression, ensures ErrorKind usage
create-worktree
Creates a git worktree with branch and copies environment files (.envrc, .mcp.json)
strict-clippy-check
Enforces zero-tolerance code quality policy using Clippy with strict lints, all warnings treated as errors
knowledge-audit
**Bare-slash canonical (Claude Code).** `/knowledge-audit` resolves to this skill (alias for /audit-knowledge) when both aria-knowledge and aria-cowork are loaded in the same session. RUNTIME GATE: this alias delegates to /audit-knowledge, whose Runtime Gate section will surface a notification suggesting `/aria-cowork:knowledge-audit` if invoked from a non-Code runtime — even in `auto` mode (ADR-094 §Part 3). Alias for /audit-knowledge. Invoked by the '/knowledge-audit' slash command. Same behavior as /audit-knowledge — just an alternative phrasing.
share-audit
Alias for /audit-share. Invoked by the '/share-audit' slash command. Same behavior as /audit-share — just an alternative phrasing.
codex-docs
Look up OpenAI Codex documentation in the local mirror at ~/codex-docs/. Use when answering questions about the Codex CLI, Codex app, IDE extension, cloud threads, AGENTS.md, config.toml, MCP servers in Codex, skills, plugins, hooks, sandboxing, approvals, slash commands, the Codex SDK, app-server, or the Codex GitHub Action.
mule-api
Interact with Mule AI workflow platform - manage providers, agents, skills, workflows, WASM modules, and execute AI tasks via OpenAI-compatible API.
virtual-piano
Show a virtual piano to play music
rei
Set up Rei Qwen3 Coder as a model provider. Use when configuring coder.reilabs.org, adding Rei to Clawdbot, or troubleshooting 403 errors from Rei endpoints.
post-discovery
Post-credential enumeration workflows for validated live keys — AWS IAM enum, GitHub PAT scope/repo enum, Slack workspace enum, JWT triage, Postman PMAK workspace enum, Anthropic/OpenAI usage enum. Requires validator confirmation first.
openclaw-ops
OpenClaw 運維全指南 — 安裝設定、模型管理、遷移、cron 任務、安全檢查、除錯。當需要管理、遷移、排錯 OpenClaw 時使用此 skill。觸發關鍵字："OpenClaw 設定", "OpenClaw 遷移", "Gateway 管理", "cron 任務", "模型設定", "Telegram bot", "OpenClaw 安全檢查"。
ai-seo
When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' or 'optimize for Claude/Gemini.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema-markup.
directory-submissions
When the user wants to submit their product to startup, SaaS, AI, agent, MCP, no-code, or review directories for backlinks, domain rating, and discovery. Also use when the user mentions "directory submissions," "submit to directories," "backlinks from directories," "list my product," "submit to Product Hunt," "BetaList," "TAAFT," "Futurepedia," "G2 listing," "Capterra listing," "AlternativeTo," "SaaSHub," "AI directories," "MCP registry," "agent directory," "dofollow backlinks," "launch directories," or "directory tracker." Use this whenever someone is planning the directory layer of a product launch or an ongoing backlink campaign. For the broader launch moment, see launch-strategy. For programmatic SEO pages that should live behind these backlinks, see programmatic-seo. For AI citation optimization, see ai-seo.
image
When the user wants to create, generate, edit, or optimize images for marketing — blog heroes, social graphics, product mockups, profile banners, listing visuals, or brand assets. Also use when the user mentions 'AI image generation,' 'generate an image,' 'create a graphic,' 'product mockup,' 'hero image,' 'social media graphic,' 'banner image,' 'cover photo,' 'profile banner,' 'listing screenshot,' 'Flux,' 'Midjourney,' 'DALL-E,' 'GPT Image,' 'Ideogram,' 'Gemini image,' 'Canva,' 'Figma,' 'image optimization,' 'compress images,' 'WebP,' or 'OG image.' Use this for general-purpose marketing image creation and optimization. For paid ad image creative and platform-specific ad specs, see ad-creative. For video production, see video.
bash-exec
Shell command execution via `bash.exec`. Use when a task requires running terminal commands and inspecting bounded stdout or stderr under policy controls.
credentials
Secret and credential lifecycle management via `credentials.*` tools. Use when listing, requesting, creating, rotating, or deleting integration credentials without exposing plaintext secrets.
diffs
Render readable unified or HTML diffs from inline text or local files. Use after file edits when you need to inspect or show exact changes, optionally as persisted artifacts.
file-ops
Workspace filesystem operations via `file.*` tools. Use when listing, reading, searching, writing, or editing files inside the allowed workspace.
mcp-manager
Profile MCP management via `mcp.profile.*` tools and `afk mcp`. Use when the user wants to connect, inspect, validate, update, or remove MCP servers by URL for one profile.
sysadmin
System administration via `bash.exec` for host inspection, package management, and service control. Use when tasks mention apt, dnf, yum, brew, package install or update, nginx setup, systemctl, or service status.
comparator
Generic Comparison Matrix Builder: creates, populates, and maintains weighted XLSX comparison matrices for ANY domain and ANY pair (or set) of solutions. Evidence comes from whatever is available — CIRs produced by MultAI's solution-researcher, documents in the working folder, LLM knowledge, or user description. A CIR is not required. Supports two entry points: • "compare X vs Y" — full standalone comparison from scratch (Gap 5 flow) • matrix operations on an existing XLSX — add-platform, reorder, combo, verify USE THIS SKILL when the user wants to: compare solutions head-to-head, build a capability matrix, add a platform to a matrix, reorder or verify a matrix, create a combo column, or produce a scored comparison of any two products. Trigger keywords: "compare", "comparison matrix", "capabilities matrix", "add platform", "update the matrix", "reorder", "verify ticks", "combo column", "score", "head-to-head", "which is better".
consolidator
Generic Multi-Source Consolidator: synthesizes content from any set of input sources — documents, research notes, interview transcripts, meeting summaries, AI platform responses, or any mix — into a unified, well-structured report. When invoked with a raw AI responses archive (produced by the orchestrator or a specialist skill), operates in AI-Responses mode and produces a Consolidated Intelligence Report (CIR) or structured synthesis per a consolidation guide. When invoked directly by the user with arbitrary source content, operates in Generic mode and produces a synthesis report tailored to the content type. If a consolidation guide (.md file) is provided, follows its prescribed output structure exactly — the guide is the sole structural authority.
landscape-researcher
Market Landscape Researcher: orchestrates a full end-to-end landscape research workflow for any software solution category. Builds a research prompt from a proven template, runs it across 7 AI platforms in parallel (via the orchestrator skill), synthesises the responses into a structured 9-section Market Landscape Report, and auto-launches an interactive HTML report viewer. USE THIS SKILL whenever the user wants any of: a market landscape report, competitive landscape analysis, market overview, vendor landscape, category survey, ecosystem analysis, or industry landscape for any software category. Also trigger when the user says things like "map the market for X", "give me a Gartner-style analysis of X", "which tools are leaders in X", "compare all the tools in X", "landscape for X", or "research the X market". This skill is also invoked by the orchestrator skill's routing logic when it detects landscape-research intent. DEEP mode is the default — landscape reports benefit from deep, multi-source research.
multai
Intelligent Multi-AI Router & Orchestrator. Submits prompts to 7 AI platforms simultaneously (or sequentially in Cowork) and synthesizes results. Supports two runtimes automatically detected at startup: • Code tab (Mac): Playwright/Browser-Use engine — parallel, full-featured • Cowork tab (Linux sandbox): Claude-in-Chrome MCP — sequential, zero-setup auth This skill is the PRIMARY ENTRY POINT for all research and multi-AI tasks. It reads the user's intent and routes to the correct specialist skill: - "landscape" / "market map" / "ecosystem" / "vendor landscape" / "market overview" / "competitive landscape" / "category survey" / "industry landscape" / "Gartner-style" → landscape-researcher skill - Product URL + research intent, specific product name + evaluate/benchmark/ research/analyze, "competitive intelligence", "capabilities report" → solution-researcher skill - "comparison matrix" / "add platform" / "update matrix" / "combo column" / "verify ticks" / "reorder matrix" → comparator skill - Any other multi-
multaiupdate
Check for MultAI updates, show changelog, and install if available
solution-researcher
Orchestrates a simultaneous 7-AI competitive intelligence research round on any software product. Builds a capability-analysis prompt from a template, invokes the orchestrator engine, then invokes the consolidator skill to produce a Consolidated Intelligence Report (CIR). USE THIS SKILL whenever the user asks to research a software product, run competitive intelligence, benchmark a tool, or find out what a platform can do. Trigger when the user provides a product URL, names a specific software product and asks to research/analyze/evaluate it, or says "competitive intelligence", "capabilities report", "benchmark this tool", or "what can X do?". Supports any product domain (DevOps, PM tools, security, etc.) via pluggable domain knowledge files. If a domain file exists, evaluation criteria are appended to the prompt and used during consolidation. DEEP vs. REGULAR mode: If the user includes the keyword 'deep' in their request, use Deep Research modes on all platforms.
context-overlay
Use when configuring or debugging the context-overlay OpenAI-compatible proxy for deterministic prompt/context injection, prompt patching, rule matching, request routing, rejection rules, skill_dir retrieval, streaming forwarding, and local or tunneled proxy validation.
llm-deploy-training
当需要部署或训练 LLM/VLM 时使用；覆盖 vLLM OpenAI-compatible 服务、多模态输入限制、Qwen3.5 工具调用、thinking/reasoning 控制、CUDA Graph 策略，以及 ms-swift SFT/DPO/GRPO full training、数据校验、显存排错和训练检查。
llm-image-generation
当需要通过 OpenAI-compatible LLM 网关生成图片时使用，尤其是使用 LLM_API_KEY 和 LLM_BASE_URL 调用 gpt-image-2、gpt-image-1、dall-e-3 等图像模型；覆盖环境变量检查、缺失配置提示、模型选择、/images/generations 请求、长等待时间处理、base64/URL 返回保存和排错。
researchharness
Use when installing, configuring, running, embedding, deploying, or debugging InternScience ResearchHarness as a lightweight tool-using LLM agent runtime, including CLI runs, local frontend UI, OpenAI-compatible API server, Python API, tool selection, workspaces, traces, compaction, tests, and read-only source inspection.
structai
Use when building, testing, or debugging LLM applications with the StructAI Python toolkit, including LLMAgent calls, structured outputs, LLM judging, batch concurrency, file/PDF utilities, text parsing, private-IP no_proxy handling, and timeout wrappers.
seo-aeo-best-practices
SEO and AEO best practices for metadata, Open Graph, sitemaps, robots.txt, hreflang, JSON-LD structured data, EEAT, and content optimized for search engines and AI answer surfaces. Use this skill when implementing page SEO, technical SEO, schema markup, international SEO, AI-overview readiness, or improving content for Google, ChatGPT, Perplexity, and similar assistants.
ai-seo
When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' or 'optimize for Claude/Gemini.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema-markup.
ai-writing-signs
Patterns in vocabulary, structure, formatting, tone, and citations that are characteristic of LLM-generated text. Avoid these when writing any text.
prompt-reviewer
Review and refine prompts to improve clarity, specificity, token efficiency, and missing context. Use this skill whenever the user hands you a prompt as an artifact and asks for feedback — regardless of the target model (Claude, ChatGPT, Midjourney, system prompts, etc.). Trigger when the user says "review this prompt", "improve my prompt", "refine this prompt", "make this prompt better", "is this prompt clear", "check this system prompt", "optimize this prompt", "fix my prompt", "critique this prompt", or any similar phrasing where a prompt is the subject of review rather than the instruction itself. Supports three modes: default (single-pass), --deep (guided dialogue), --variants (three rewrites). Also trigger when the user uses "--deep" or "--variants" flags alongside a prompt.
ielts-speaking
雅思口语素材工厂。话题分组 + 万能故事生成 + Part 3 追问预测 + 高分表达。 触发方式：/ielts-speaking、「口语素材」「话题分组」「万能故事」「Part 2 准备」
matematic-konstytucja-ai
Generuje "Konstytucje AI" dla kancelarii prawnej - dokument governance definiujacy zasady uzycia AI w organizacji, na bazie cherry-pick patternu github/spec-kit (constitution -> spec -> plan -> tasks). 6 sekcji - mission, principles (max 9 articles), boundaries, governance roles, audit, evolution. Output - dokument PDF/MD 10-25 stron + plan wdrozenia 6-8 tygodni (AI Implementation Playbook). Uzywaj gdy kancelaria pyta o AI governance, polityke AI, etyke AI, AI policy, regulamin AI, Konstytucja AI, zasady AI w kancelarii, AI Act compliance, RODO + AI. Trigger - "Konstytucja AI", "polityka AI", "AI governance dla kancelarii", "zasady AI", "regulamin AI", "audyt AI policy", "AI Act compliance", "wdrozenie AI plan", "AI Implementation Playbook". Bazuje na github/spec-kit (MIT) - cherry-pick methodology pattern, NIE pelna instalacja.
grok-skill
Search and analyze X (Twitter) using xAI Grok 4 via OpenRouter with Live Search. Trigger on prompts that explicitly or implicitly ask to "search Twitter/X", "what's trending", "tweets from @handle", "hashtag #…", "what are people saying", or that require tweet-level activity/engagement from X.
ask
Research a question, check existing knowledge first, draft a knowledge doc from the answer, and save directly to the appropriate category. Use when user says '/ask', 'ask about', 'research and save', 'I want to learn about', 'what is the pattern for'. Skips backlogs — the user reviews the answer in real-time before saving.
backlog
View and manage pending backlog items. Use when user says '/backlog', '/backlog insights', '/backlog clear', 'what's pending', 'show backlogs', 'check backlog status'.
clip
Save a URL or text snippet to the knowledge intake for later review. Use when user says '/clip', '/save', 'clip this', 'save this link', 'save this snippet', 'capture this URL'. Quick capture without leaving the session — clipped items are reviewed at the next /audit-knowledge run.
clip-thread
NOTE: this skill requires ~~chat or ~~email MCPs, which are typically only connected in Cowork — the Code variant exists for parity but most users will want the Cowork variant. Capture a chat or email thread from a connected MCP to the knowledge intake. Use when user says '/clip-thread', 'clip this thread', 'save this Slack thread', 'capture this email chain', 'archive this conversation'. Pulls thread content from ~~chat (Slack, Teams) or ~~email (Gmail, MS365) MCP, composes a clipping with thread metadata + body, writes to intake/clippings/ for review at next /audit-knowledge.
codemap
Generate or update a feature-organized CODEMAP.md for any codebase. Scans repos, detects frameworks, identifies features, traces full-stack flows (frontend routes → hooks → state → backend views → models → integrations), and produces a navigable reference with a directory table for selective loading. Supports modes: create (full generation), inventory (quick index only), update (incremental refresh), section (rebuild one section). Trigger: '/codemap', '/codemap create', '/codemap inventory', '/codemap update', '/codemap section <name>'.
context
Load relevant knowledge by topic. Queries the tag index and presents matching promoted files for selective loading into context. Use when user says '/context stripe', '/context api pagination', '/context ss', 'load knowledge about...', 'what do we know about...'.
digest
NOTE: this skill requires connected ~~chat / ~~email / ~~project-tracker / ~~docs MCPs, which are typically only present in Cowork — the Code variant exists for parity but most users will want the Cowork variant. Cross-tool rollup of what's pending, what shipped, and what's blocked across chat / email / project tracker / docs. Use when user says '/digest', 'weekly digest', 'cross-tool rollup', 'what's pending across my tools', 'summarize this week', 'standup digest'. Probes all 4 ~~categories and degrades gracefully — produces a digest even with only 1-2 MCPs connected, surfacing which categories were unavailable.
distill
Turn raw task text into a tiered executable spec per TASK.schema.md. Auto-tiers by complexity (micro/standard/full). Optional --group loads CODEMAPs for cited context. Trigger: '/distill', '/distill --group=<tag> "…"'.
extract
Extract uncaptured knowledge from the current conversation before it's lost to compaction. Use after completing a task, before switching context, before large exploratory work (multi-file reads, codebase scans), or when the user signals session end. Trigger: '/extract', 'extract knowledge', 'capture session knowledge'. Also prompt mid-session: 'Task complete — want me to run /extract?' and 'Switching context — want me to run /extract first?'.
extract-doc
NOTE: this skill requires connected ~~docs MCPs (Notion, Google Docs, Confluence, Box, Egnyte), which are typically only present in Cowork — the Code variant exists for parity but most users will want the Cowork variant. Pull insights from a single doc or page (Notion, Google Doc, Confluence, etc.) into the standard intake backlog. Use when user says '/extract-doc', 'extract insights from this doc', 'pull learnings from this page', 'mine this Notion page for knowledge', 'extract from this Confluence'. Differs from /intake doc (which captures one structured doc artifact with reaction) — extract-doc decomposes a doc into multiple intake-backlog entries for audit routing.
handoff
Generate a passoff package so the next reader can pick up cleanly — for future-you in a new session (typically when context is high and you need to restart) or for a coworker (via brief mode). Default + `auto` modes emit a paste-ready next-session opener as the headline artifact, alongside PROGRESS / CLAUDE / memory updates, commit, and /extract; `brief` mode emits an 80-150 word coworker-facing prose brief instead (Slack/email-ready, no file writes). Use when handing off — not when finishing for the day with nothing pending. For 'I'm done, close it out cleanly' with no passoff, use /wrapup instead. Triggers: '/handoff', '/handoff auto', '/handoff brief', 'hand it off', 'handoff and extract', 'context is full, restart this', 'pass off to next session', 'brief a coworker on this', 'wrap and prompt'.
help
Show available aria-knowledge commands. Use when user says '/help', 'aria help', 'what commands are available', 'list commands', 'what can aria do'.
setup
Configure aria-knowledge plugin. Creates or validates a knowledge folder, checks dependencies, sets audit cadences, and writes config. Run on first install or after plugin updates. Trigger: '/setup', 'setup aria-knowledge', 'configure knowledge'.
snapshot
Save the current Antigravity transcript to the knowledge intake on demand. Use when user says '/snapshot', 'snapshot the session', 'save this conversation', 'capture the transcript', 'archive this session'. Same archival output as the canonical pre-compact hook, just triggered explicitly (Antigravity has no PreCompact event). Distinct from /extract (synthesizes knowledge) and /clip (URL/snippet).
memory
Browse and recall OpenCode local memory stored on the user's machine: sessions, conversations, and project context. Use immediately when the user asks to check history, previous sessions, past chats, what did we do before, last time, session history, recall, memory, remember, prior work, previous context, or have we done this before. Auto-trigger proactively when resuming work, continuing a project, referencing prior decisions, debugging repeated issues, or any follow-up where earlier OpenCode context may help. This means OpenCode local history specifically, not ChatGPT/Claude cloud history, generic web search, or unrelated product memory systems. Do NOT use for fresh tasks with no relevant history, or when current files/git already answer the question.
seo-geo-content-brief
Produces a research-backed content brief that optimizes a page for BOTH classic SEO and GEO (Generative Engine Optimization) so it ranks in search AND gets cited by ChatGPT, Perplexity, and Google AI Overviews. Use when planning a blog post, pillar page, or landing page and you need target queries, keywords, entities, heading outline, E-E-A-T signals, schema, and a GEO checklist before writing.
container-escape
Container escape methodology for Docker and Kubernetes. Covers privileged container breakout, mounted socket exploitation, capabilities abuse, cgroup v1 escape, and K8s node compromise.
cvss4-scoring
CVSS v4.0 scoring guide for red team findings. Covers all metric groups (Base, Threat, Environmental, Supplemental), AI/LLM-specific scoring considerations, and OWASP LLM Top 10 to CVSS mapping.
edr-evasion
EDR/AV evasion methodology for authorized red team operations. Covers process injection, AMSI bypass, ETW patching, LOLBins, reflective loading, and obfuscation techniques for testing endpoint detection coverage.
embedding-attacks
Adversarial embedding manipulation techniques for attacking vector search, semantic similarity systems, and embedding-based security controls. Covers nearest-neighbour poisoning, semantic collision, and bypass of embedding-based filters.
graphql
GraphQL security testing methodology covering introspection abuse, IDOR via query manipulation, batching attacks, injection via arguments, and subscription abuse.
iam-privesc
Cloud IAM privilege escalation methodology for AWS, Azure, and GCP. Covers misconfigured roles, policy enumeration, assume-role chaining, and escalation to admin/root equivalent access.
initial-access
Initial access methodology for authorized red team engagements. Covers phishing, payload delivery, drive-by compromise, supply chain entry points, and living-off-the-land initial access techniques.
jailbreaking
Expert methodology for testing constitutional AI safeguards through roleplay personas, fictional framing, and behavioral boundary probing. For authorized red team assessments of LLM deployments.
kerberoasting
Kerberoasting expert methodology — request TGS tickets for SPN-registered service accounts, extract, and crack offline. Covers enumeration, targeted attacks, AS-REP roasting, and detection evasion.
mcp-context-injection
Methodology for injecting malicious content into MCP tool return values and resource outputs to manipulate connected LLM agent behaviour. Covers cross-server propagation and multi-agent pipeline compromise.
mcp-rug-pull
Methodology for testing rug pull attacks against MCP servers — capability changes after initial attestation that the connected LLM cannot detect. Covers detection, reproduction, and impact assessment.
mcp-tool-poisoning
Expert methodology for testing Model Context Protocol tool poisoning vulnerabilities. Covers malicious tool description injection, cross-server propagation, and detection evasion. Developed alongside ContextGuard (ICCBI 2026) MCP security research.
model-extraction
Query-based model extraction and intellectual property theft methodology for authorized assessments. Covers functional extraction, architecture inference, and training data reconstruction.
model-tampering
AI model supply chain attack methodology covering weight tampering, malicious fine-tuning backdoor insertion, plugin/extension hijacking, and model provenance verification bypass. For authorized assessments of AI deployment pipelines.
oauth
OAuth 2.0 attack methodology. Covers redirect_uri manipulation, state CSRF bypass, authorization code interception, implicit flow token theft, open redirect chaining, and PKCE bypass.
osint
Open Source Intelligence expert methodology for pre-engagement reconnaissance. Covers target profiling, email harvesting, subdomain enumeration, technology fingerprinting, employee reconnaissance, and dark web monitoring.
pass-the-hash
Pass-the-Hash (PtH) and Pass-the-Ticket (PtT) attack methodology for Windows environments. Covers hash extraction, lateral movement, credential reuse, and over-pass-the-hash (PTK).
prompt-injection
Expert methodology for testing direct and indirect prompt injection vulnerabilities in LLM-powered applications, agents, and pipelines. Covers payload construction, context manipulation, cross-agent propagation, and exfiltration triggers.
rag-poisoning
Expert methodology for attacking Retrieval-Augmented Generation (RAG) pipelines through document poisoning, index corruption, adversarial queries, and retrieval manipulation. For authorized red team assessments of AI search and Q&A systems.
rce
Remote Code Execution methodology covering command injection, deserialization, file upload RCE, and code injection in web applications. Includes reverse shell payloads and post-exploitation pivoting.
report-writing
Red team and penetration test report writing methodology. Covers executive summary, technical findings format, CVSS4 scoring, remediation guidance, and evidence documentation standards.
session-attacks
Session management attack methodology. Covers session fixation, CSRF, cookie theft, session prediction, concurrent session abuse, and logout bypass.
sqli
SQL injection expert methodology covering UNION-based, blind (boolean/time), error-based, and second-order injection. Includes WAF bypass, out-of-band exfiltration, and post-exploitation DB pivoting.
ssrf
Server-Side Request Forgery expert methodology covering basic SSRF, blind SSRF, cloud metadata endpoint attacks, DNS rebinding, and protocol smuggling. Includes filter bypass and post-exploitation pivoting.
subdomain-enum
Subdomain enumeration expert methodology combining passive, active, and permutation techniques. Includes subdomain takeover detection and live host filtering.
system-prompt-extraction
Methodology for recovering hidden system prompts from LLM-based products. Covers direct extraction, differential probing, and reconstruction from partial leaks. Relevant for competitive intelligence assessments and prompt confidentiality evaluations.
waf-bypass
Web Application Firewall bypass methodology applicable to all injection types. Covers encoding, obfuscation, chunked encoding, HTTP header manipulation, and protocol-level WAF bypass.
xss
Cross-Site Scripting expert methodology covering reflected, stored, DOM-based, and mutation XSS. Includes CSP bypass, filter evasion, and post-exploitation (session hijacking, keyloggers, BeEF integration).
agentganggang
Use AgentGangGang as a compare-first local MCP workspace during OpenClaw sessions.
prompt-optimizer
Optimizes prompts through an iterative Claude-GPT review process. Use when the user wants to optimize, improve, or refine a prompt. Supports automated review via Codex plugin or manual GPT handoff.
mscs-segundo-cerebro
Monta e opera uma memória viva no repositório do usuário — uma pasta de markdown que um LLM mixa (raw → wiki), ligando fontes e calibrando na voz do dono, pra virar artefato. Use quando alguém quiser montar um segundo cérebro, uma memória viva, uma wiki viva estilo Karpathy, ligar os pontos do material bruto, organizar conversas/pesquisa em markdown, criar um sistema que escreve na própria voz, ou instalar os comandos /mixar, /lembrar, /produzir. Dispara em "montar minha memória viva", "segundo cérebro", "wiki viva no meu repo", "mixar meu material bruto", "ligar os pontos", "sistema que escreve na minha voz", "exportei meu ChatGPT e agora". Use mesmo que o usuário cite só uma parte (captura, mixagem ou produção).
technical-poc-brief
Given a prospect domain, produces a technical-buyer-shaped account brief. Replaces traditional "account research" with a brief organized around the Technical Credibility Ladder — what proof the prospect's engineers need to climb each rung.
weekly-drift-audit
Run weekly. Detects which context/ files are stale, which foundation-model events happened, which competitor moves matter, and drafts updates for human approval. Implements Living ICP's weekly cadence.
content-pipeline
This skill should be used when the user asks to "콘텐츠 만들어줘", "카드뉴스 만들어줘", "카드뉴스 영상 만들어줘", "리서치부터 영상까지", "콘텐츠 파이프라인", "content pipeline", "주제로 콘텐츠 만들어줘". 주제 하나로 리서치→카드뉴스→영상까지 풀 파이프라인을 자동 실행합니다. Make sure to use this skill whenever the user mentions content creation that involves research, card news, or video generation from a topic.
linkedin-post
Use when Chan Meng wants to write an English LinkedIn post for personal-brand marketing — either an "idea" post (sharing a framework/opinion) or a post-event "recap" (reflecting on an offline tech meetup, mentioning speakers/organizers/companies to grow her network). Drafts on-brand copy with emoji + hashtags, generates a Caldera-branded visual (Mermaid diagram, OpenAI image, or HTML card), and drafts it into the LinkedIn composer via claude-in-chrome for review — never auto-posts.
cc-guannaxi-perspective
关娜西cic（小C老师 / Dr.CiC）的思维框架：云南姑娘 20 出头创立微美人 Barbie， 11 年把"半永久"做成行业代名词，手握仿生眉/滚轮针/老式发蓝眼线色素溶解等多项国家专利， 跨国巡讲于韩国 KCMA、法国毕加索学院、马来西亚、日本、台湾，斩获 14 项行业头衔， 最终在最高光时刻主动搬去美国尔湾，从 0 重做小红书+IG+抖音，1 年累计 69K 赞收藏。 核心方法论 = 手艺即护城河（11 年深耕 + 把动作做成专利）+ 女王不是公主升级版（资本/权力/话语权三件套） + 上行电梯论（出海拿认证→回国吃红利）+ 存量不能绑架增量（敢于主动归零重启） + 坚持先于希望（不是看到希望才坚持，是坚持了才看到希望）+ 真诚做反差（让作品说话）。 适合：想理解女性独立创业心法、单点深耕变现路径、跨国 IP 跃迁、高光时刻敢于重启的女性创业者； 想用 CC 视角拆解"卷研发 vs 卷价格""嫁入豪门 vs 自己成为""存量 vs 增量"等女性议题的内容创作者。 唤醒词（最简）：【CC】 / 【关娜西】 扩展触发：「小C老师会怎么看」「关娜西的方法论」「问问CC」「扮演小C老师」 「Dr.CiC」「微美人 Barbie」「拼命三姐」「空中飞人」「自己成为豪门」 「明明可以靠脸偏偏要靠才华」「手艺即护城河」「上行电梯论」「敢从尔湾重启」。
spoon-agent-development
Build AI agents with SpoonReactMCP. Use when creating custom agents, configuring tool chains, designing system prompts, or implementing concurrent agent patterns.
spoon-tool-development
Develop tools for SpoonOS agents. Use when creating custom tools, MCP servers, toolkit extensions, or configuring tool managers.
content-research
Research-first content creation optimized for both human readers and AI search engines (Claude, ChatGPT, Perplexity, Gemini). Creates authentic, authoritative content that becomes the go-to citation source for AI models answering user questions. Use this skill when: - Creating content that should appear in AI search results (Perplexity, ChatGPT, Claude) - Building topical authority to become THE source AI cites for a topic - Launching a new product and need compelling, citable content - Creating blog posts, articles, social media, or press releases - Need content that references real trends, people, and recent events - Want AI-assisted content that doesn't sound AI-generated - Creating thought leadership content in any industry Triggers: "create content for", "write about", "research and write", "find experts for", "content for launch", "blog post about", "article on", "press release for", "AI search", "show up in AI", "Perplexity", "be cited by AI"
skill-creator
Author or revise an AI-agent skill. Use when the user says "let's make a skill for X", invokes /skill-creator, asks to revise an existing SKILL.md, or wants to skill-ify a repeated workflow with 2+ prior invocations. Inputs - trigger phrase, artifact, evidence tier (E empirical / P practitioner / H heuristic). Do not use when the workflow is one-shot (write a snippet), is a phrasing trick or persona without a stable model, is an eval/benchmark loop (separate kit), or duplicates an existing skill (merge). Produces a skill directory with SKILL.md (5-part trigger description, lean body, no README/INSTALL/CHANGELOG) plus the registry-integration step for the active backend (see references/registry-integration.md). Escalate if no repeated workflow exists (suggest snippet), the model is H-tier with overreach ≥4 (manual-only), or the skill would compete with a stronger existing one (merge).
chatbot-creator-skill
Scaffold a standalone LLM chatbot app (FastAPI + React + Vite). Builds the full project — user auth, multi-turn chat with Claude/OpenAI/Gemini, WebSocket streaming, SQLite persistence. Warns before overwriting existing files.
daily-briefing
Start your day with a prioritized sales briefing. Works standalone when you provide meetings and priorities, supercharged when you connect calendar, CRM, and email. Trigger with "morning briefing", "daily brief", "what's on my plate today", "prep my day", or "start my day".
draft-outreach
Research a prospect first, then draft personalized outreach. Uses web research by default and can be enhanced with enrichment/CRM/email connectors. Trigger with "draft outreach to [person/company]", "write cold email", or "reach out to [name]".
ai-hypergrowth-gtm
Apply AI sales-led hypergrowth patterns to startup GTM, enterprise sales, wedge selection, paid pilots, design partners, pricing, founder-led sales, practitioner adoption, upmarket expansion, and agent-infrastructure platform-risk analysis. Use when evaluating or designing B2B AI startup growth strategy, first enterprise deals, sales motion, pilot offer structure, ICP validation, demo strategy, proof-building, labor-replacement pricing, or whether a product wedge survives Google/Microsoft/Apple/OpenAI/Anthropic distribution pressure.
claude-prompt-forge
Generate production-grade prompts following patterns extracted from Claude Code source. Use when writing system prompts, tool descriptions, agent instructions, compression prompts, or any structured LLM prompt. Triggers on "write a prompt", "generate prompt", "design prompt", "create instructions for".
azure-networking
Configure Azure VNet, NSG, Load Balancer, and network topology.
dotnet-architect
Senior .NET solution architect and enterprise software engineer persona. Use this skill whenever the user asks about designing, building, or architecting .NET projects, full-stack applications, or backend systems. Trigger on any mention of ASP.NET Core, Web API, EF Core, Clean Architecture, SQL Server, PostgreSQL, JWT, Docker, Azure, Redis, Semantic Kernel, or OpenAI integration in a .NET context. Also trigger for: "design a system", "architect a project", "how should I structure", "help me build X in .NET", "what's the best way to do X in .NET", project setup advice, database schema design, API design, auth flows, deployment strategy, or scalability discussions. Always include interview tips and production concerns in responses. Adapt output depth to what was asked — don't dump all 10 sections when the user asks a targeted question. Respond with detailed mentor-style prose, not terse bullets.
dotnet-interview-notes
Expert .NET technical mentor that generates concise, revision-friendly developer notes and interview preparation material. Use this skill whenever the user asks for .NET notes, interview prep, revision material, or topic summaries on any of: ASP.NET Core, EF Core, SQL Server, JWT, Identity Framework, WPF, JavaScript, React, Docker, Azure, CI/CD, or AI Integration with .NET. Also trigger when user says things like "give me notes on X", "explain X for an interview", "quick revision of X", "interview questions for X", "summarize X for me", or "I have an interview on X". Always use this skill — do not write freeform notes from memory without consulting it.
skill-manifest-gen
Generate cross-harness discovery manifests (openai.json · gemini.json · mcp.json + README) so an aria-skill is findable from OpenAI/Codex/Grok, Google Gemini, and MCP clients (VS Code, Cursor, Claude Desktop) — not just Claude Code. Derived deterministically from SKILL.md + the script's argparse, so manifests never drift. --all sweeps the repo, --check is a CI drift gate, --force overwrites. Use when Ian says "generate manifests", "MCP marketplace", "discoverable in VS Code/Cursor", "backfill manifests", or after adding a skill.
humanize
Detect and rewrite prose that reads as AI-generated. Strips em dashes, curly quotes, AI vocabulary (delve, underscore, tapestry, vibrant, robust), negative parallelisms ("not just X, but Y"), rule-of-three filler, weasel attributions, puffery, didactic disclaimers, and citation artifacts. Use when the user says "humanize this", "de-slop", "make this less AI", "sounds like ChatGPT", "remove AI tells", "rewrite without AI voice", "this reads AI-generated", or pastes prose for cleanup.
image-generation
Generate and edit images via OpenAI's gpt-image-2 (ChatGPT Images 2.0) API. Use when the user asks to "generate an image", "create an image", "make a picture of X", "draw X", "edit this image", "remove the background from this image", "extend this image", "regenerate this image with Y", or invokes /image-generation. Outputs PNG/JPEG/WebP files to disk. Requires OPENAI_API_KEY in the environment.
super-geo-agent-readiness
Generative Engine Optimization plus agent readiness. Use this skill whenever the user asks about GEO, AEO, LLMO, optimizing content for AI search engines (ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, Copilot), getting cited by LLMs, brand mentions in AI responses, llms.txt, robots.txt for AI crawlers, Schema.org JSON-LD, FAST framework, agent readiness, MCP server discovery, Web Bot Auth, OAuth for agents, API Catalog, agentic commerce (x402, ACP, UCP), Markdown content negotiation, or auditing a site or page for AI visibility. Also trigger when the user says "AI SEO", asks how to "rank in ChatGPT", "show up in Perplexity", "appear in AI Overviews", or wants a site to "speak to AI agents". Trigger even when the request is implicit, such as "review this article so AI search picks it up" or "make our docs agent-friendly".
flow-code-export-context
Use when you want to review code or plans with an external model (ChatGPT, Claude web, etc.). Triggers on /flow-code:export-context.
sudo-me
Use this skill to execute commands with root privileges securely without needing to interactively enter a password for every command. It uses a transient background daemon for authentication.
coldbox-ai-integration
Use this skill when integrating AI capabilities into a ColdBox application using the BoxLang AI library (bx-ai module) -- including simple chat, streaming, pipelines, agents, RAG with vector memory, document loading, tool calling, and injecting the AI service into handlers or models.
bcrypt
bcrypt password hashing. Use for password security.
cobol
COBOL for mainframe and legacy business systems. Use for .cob files.
dev-builder
全栈开发工程师技能包，负责根据产品需求文档和原型图实现功能代码。涵盖技术栈选择、项目初始化、功能实现、代码质量控制和功能验证。
oracle
Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).
config-audit
Alias for /audit-config. Invoked by the '/config-audit' slash command. Same behavior as /audit-config — just an alternative phrasing. (Claude Code variant — alias for /audit-config; see ADR-094.)
dcsync
DCSync attack methodology — replicate AD credentials from Domain Controllers without touching LSASS. Covers privilege requirements, execution, and credential extraction for all domain accounts including krbtgt.
idor
Insecure Direct Object Reference (IDOR) methodology. Covers horizontal and vertical privilege escalation, GUID bypass, mass assignment, and multi-step IDOR chains.
jwt
JWT (JSON Web Token) attack methodology. Covers algorithm confusion (RS256→HS256), none algorithm, weak secret cracking, kid injection, JKU header forgery, and claims manipulation.
s3-enum
AWS S3 and cloud storage enumeration methodology. Covers bucket discovery, access control testing, public data exposure, and cross-cloud (GCS, Azure Blob) equivalents.
ssti
Server-Side Template Injection expert methodology. Detection across Jinja2, Twig, Freemarker, Velocity, Mako, Smarty. Exploitation path from SSTI to RCE and data exfiltration.
xxe
XML External Entity injection expert methodology. Covers classic XXE, blind OOB XXE, XXE via file upload, XXE to SSRF, and XXE in PDF/DOCX parsers.
seo-geo
When the user wants to optimize content for search engines (Google, Bing) or AI engines (ChatGPT, Perplexity, Gemini, Copilot, Claude). Also use when the user mentions 'SEO audit,' 'GEO,' 'generative engine optimization,' 'AI search optimization,' 'technical SEO,' 'why am I not ranking,' 'SEO issues,' 'on-page SEO,' 'meta tags review,' 'keyword research,' 'content gap analysis,' or 'AI citation optimization.' For building pages at scale, see programmatic-seo. For structured data only, see schema-markup.
setup
Create a new Marketing OS for your company. Trigger with /setup. Asks your company name, scaffolds a standalone repo with all skills and brain templates, then walks you through configuring everything.
bmad-agent-bmm-dev
dev agent
bmad-agent-bmm-pm
pm agent
bmad-agent-bmm-qa
qa agent
bmad-agent-bmm-sm
sm agent
bmad-agent-tea-tea
tea agent
geo-content-brief
Engine de briefing para conteúdo de era-IA — produz briefs que ranqueiam no Google E são citados por AI Overviews, ChatGPT, Perplexity, Gemini e Copilot (GEO/AEO/LLMO). Bimodal: modo ESTRATÉGIA (diagnóstico de intenção + PAA→H2 + edge + brief entregável) e modo PRODUÇÃO (answer block, seções autocontidas, schema/llms.txt, gate de pré-publicação). Use quando o usuário pedir: brief de conteúdo, otimizar para AI Overviews, GEO, AEO, ser citado por IA, ranquear no ChatGPT/Perplexity, content brief, SEO de IA, answer engine optimization, llms.txt, schema para IA, aparecer em busca generativa, otimizar artigo para busca, AI search, generative engine optimization, citação de IA, geo brief, content brief para IA. Genérica e vendor-neutral — aplicável a qualquer pessoa, marca ou negócio.
rag-specialist
Build Retrieval Augmented Generation (RAG) pipelines with vector databases, embeddings, and context-aware responses. Adapted from Anthropic's Claude Cookbooks.
memory
Scoped semantic memory management via `memory.*` tools. Use when saving, searching, listing, deleting, or promoting durable facts in local chat memory or profile-global memory.
review-setup
Install the Wingman review feedback loop into the current project — git hook, .reviews/ directory, and learned patterns rule file
carousel-style-vlad
Vlad Yasko's carousel style key, the visual standard for all Instagram carousels. Use when the user asks to make a carousel, write a prompt for a carousel, create slide visuals, or asks "what style should the carousel be in". Automatically append this style key to any prompt for generating carousel visuals (Nano Banana Pro, Midjourney, DALL-E, etc). Do NOT use for stories, reels, or posts without slides.
learnfromsocials
Holt Social-Media-Links aus der Inbox, lädt Content runter (Video, Bilder, Slideshows), transkribiert und analysiert alles.
career-council
Run any career decision, pivot, or positioning question through a council of the people who actually decide a career: a hiring manager, recruiter, craft authority, bar raiser, cross-functional panel, plus a coach and your past and future selves, who debate it and hand back a verdict. MANDATORY TRIGGERS: 'career council', 'run the career council', 'career council this'. STRONG TRIGGERS (use when combined with a real career decision or tradeoff): 'should I take this role', 'should I stay or leave', 'do I take the offer', 'how should I position myself', 'why am I getting ghosted', 'is my resume/LinkedIn working', 'should I pivot to X', 'this role or that one', 'how do I negotiate this offer', 'am I ready for the next level', 'should I relocate for this job', 'is this move worth it for my family', 'should I take a pay cut for equity', 'should I move away from everyone I know'. Make sure to consider this skill whenever the user brings a career decision with real stakes and more than one option, even if they don't
codex-rescue
Delegate stuck or failing work to OpenAI Codex from within manual Claude Code sessions
openproxy
Install, initialize, and operate OpenProxy from the CLI — either guiding a human through setup or driving it fully autonomously as an agent. Use whenever the user asks to install the openproxy binary, start the local AI router on 127.0.0.1:4623, configure providers / combos / keys, or wire an AI coding CLI (Claude Code, Codex, Cursor, Cline, OpenClaw, Copilot, …) into OpenProxy.
testing-combo-fallback
End-to-end test the OpenProxy combo fallback dispatch path (Rust BE + Astro FE) and seed the dashboard with mock data. Use whenever validating combo/provider/media changes or producing a UI tour.
interview-transcription-tw
台灣採訪錄音轉錄與引語管理工作流程 (繁體中文/台灣專用版,對應 upstream interview-transcription 的美國版)。涵蓋:錄音檔管理、Whisper 中文模型 (large-v3、台/客/原民族語)、雅婷逐字稿、台灣商用轉錄服務、引語提取、時間軸對照、查證用 quote database、轉錄品質檢核、與 source-verification-tw / fact-check-workflow-tw 整合。錄音轉逐字稿、引語對照查核、訪談檔案管理、語音檔保存時觸發。記者、查核員、研究員、法務、紀錄片工作者必備。
write-ai-news
Use when writing AI news articles, summaries, or tech news posts in Thai for newsletters, websites, or social media. Triggers on "เขียนข่าว", "สรุปข่าว AI", "write news", "AI news article", or similar prompts.
sketchnote
Generate a branded visual overview of any feature from a PRD. Produces a copy-paste-ready prompt for Claude, ChatGPT, or any image-capable AI. Output is sized for Notion embeds and Slack shares (1080px width). Sits between /prd-draft and /generate-ai-prototype in the workflow.
ai-daily-digest
Generate and publish a daily AI-vendor news card digest. Fetches the latest Anthropic (and later OpenAI, etc.) official announcements, curates them into concise Chinese summaries, renders editorial 小红书 (1080×1440) and 微信公众号 cards, updates a GitHub Pages review page, and can push a mobile notification. Use when the user wants to "做今天的 AI 日报 / Anthropic 动态卡片", "抓取最新 Anthropic 新闻并生成小红书图", "更新每日 AI 速递", refresh the gh-pages review page, or run the daily digest pipeline.
imagerouter
Generate Images with any AI model on ImageRouter (requires API key).
browser-control
Real browser automation via `browser.control`. Use when a task needs navigation, clicking, typing, screenshots, or page content from a live browser rather than plain HTTP.
subagent-manager
Profile subagent management via `subagent.profile.*` and `subagent.run`. Use when listing, inspecting, creating, editing, deleting, or executing custom subagents.
seed-hive
One-time project setup. Apply the required `.claude/settings.json` keys (enabledPlugins + default agent) so the overlord becomes the session default agent. Use only when adopting the plugin in a new project, when repairing settings, or when the user explicitly requests setup. Also ensures `.hivemind/` and `.claude/worktrees/` are excluded from git via `.gitignore`.
skill-installer
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
browser-use
Use when an AI agent needs to control a browser, automate web tasks, scrape pages, fill forms, or click buttons autonomously. Triggers on: 'browser automation', 'web agent', 'browser-use', 'AI browse', 'tự động duyệt web', 'điều khiển trình duyệt', 'scrape with AI', 'click button automatically', 'fill form automatically', 'web task automation'.
yomusensei
日语阅读助手技能 - 帮助日语学习者搜索文章、解释词汇和语法
debug-stuck-eval
Debug stuck Hawk/Inspect AI evaluations. Use when user mentions "stuck eval", "eval not progressing", "eval hanging", "samples not completing", "eval set frozen", "runner stuck", "500 errors in eval", "retry loop", "eval timeout", or asks why an evaluation isn't finishing.
agent-builder
Build AI agents using pai-agent-sdk with Pydantic AI. Covers agent creation via create_agent(), toolset configuration, session persistence with ResumableState, subagent hierarchies, and browser automation. Use when creating agent applications, configuring custom tools, managing multi-turn sessions, setting up hierarchical agents, or implementing HITL approval flows.
compliance_check
Apply the OpenAI SDK compliance checklist to audit files or directories and produce a Markdown report with findings and suggested fixes. Use when asked to "check compliance", "run compliance check", or "audit against OpenAI SDK rules".
zotero-cli
This skill should be used when the user works with a Zotero research library or invokes any zotero-mcp-server CLI — `zotero-cli` (standalone library access) or `zotero-mcp` (MCP server / setup). Triggers on phrases like "Zotero library", "zotero-cli", "BibTeX key", "citation", "DOI lookup", "PDF annotations", "Better BibTeX", "reading list", "literature review", or any reference to `~/Zotero/zotero.sqlite` or a `storage/` PDF attachments folder. Also use it when the user asks to add a paper by DOI/arXiv URL, extract annotations, search a personal reference library, or manage collections. Captures the local/web/hybrid library-access modes, the SQLite-lock problem (writes require Zotero.app closed), the canonical DOI-ingestion workflow, annotation extraction, and the **`zotero-cli config` footgun that prints OPENAI_API_KEY and other secrets verbatim**. Use this skill even if the user does not name "Zotero" by name — if you see a `zotero.sqlite` next to a `storage/` directory of hash-named subfolders, that is a
design-image-prompt-engineer
Expert photography prompt engineer specializing in crafting detailed, evocative prompts for AI image generation. Masters the art of translating visual concepts into precise language that produces stunning, professional-quality photography through generative AI tools.
humanizer
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, passive voice, negative parallelisms, and filler phrases.
http-request
Outbound HTTP calls via `http.request` with secure credential reuse. Use when querying or mutating remote HTTP APIs from the agent.
security-secrets
Mandatory secret-handling policy skill. Use on every task involving credentials, API tokens, passwords, or other secrets and rely only on `request_secure_field` plus `credentials.*` tools.
web-search
Live web discovery via `web.search` and `web.fetch`. Use when the task needs current internet search results or readable page retrieval.
prompt-master
Guide for writing effective prompts for LLMs. Use when: "напиши промпт", "улучши промпт", "prompt engineering", "проверь промпт"
openai-security-threat-model
Generates a repository-grounded threat model, identifying trust boundaries, assets, and abuse paths. Useful for AppSec analysis and vulnerability assessment.
openai-knowledge
Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.
patternsadapter
Adapter (Wrapper) Pattern pattern for C development
rei
Set up Rei Qwen3 Coder as a model provider. Use when configuring coder.reilabs.org, adding Rei to Clawdbot, or troubleshooting 403 errors from Rei endpoints.
task
복잡한 다단계 작업의 진행 상황 추적 및 관리
goal-prompt-builder
Use when the user asks to create, rewrite, evaluate, or tighten a Codex /goal prompt for long-running work, durable objectives, migrations, large refactors, experiments, deployment retry loops, prototypes, prompt optimization, or any task that should keep Codex working until a verifiable stopping condition is reached.
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas.
openai-docs
Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; prioritize OpenAI docs MCP tools, use bundled references only as helper context, and restrict any fallback browsing to official OpenAI domains.
prompt-tuner
Use when the user asks to improve, tune, optimize, evaluate, or rewrite an LLM prompt, system prompt, user template, instruction, prompt tuning setup, or prompt optimization workflow.
cass
Coding Agent Session Search - unified CLI/TUI to index and search local coding agent history from Claude Code, Codex, Gemini, Cursor, Aider, ChatGPT, Pi-Agent, Factory, and more. Purpose-built for AI agent consumption with robot mode.
experiment-designer
Design and run a formal hypothesis-driven experiment end-to-end — write the design doc with go/no-go criteria, dispatch workers, validate their output, and capture findings. Use when 'design an experiment', 'experiment-designer', 'run an experiment to test', 'set up a hypothesis test', 'fan out experiments to figure out', or when the user wants a structured multi-phase investigation rather than a quick exploration. Distinct from tech-spike, which is for fast informal exploration; use experiment-designer when the question deserves a written hypothesis, explicit pass/fail thresholds per metric, and findings that get committed to git as long-lived artifacts.
skill-reviewer
Review all compiled skills against multi-agent best practices and produce a prioritized report. Use when the user asks to 'review skills', 'audit skills', 'check skill quality', 'lint skills', or wants a quality report on the skills in this repo.
codex-council
Multi-perspective Codex review via parallel `codex exec` sub-agents. Claude (the orchestrator) composes the role panel on-the-fly per invocation from the user's actual work; there is no built-in role catalog and no domain list. Auto-use ONLY when the user's text contains the phrase "codex council" or "codex team reconciliation" (and close variants such as "ask codex council," "codex council review," "reconcile with codex team"). Otherwise stop — broader phrases like "codex agent team," "codex panel," "fan out to codex agents," "agent team," "agents in parallel," "subagents," "council review," "panel review," "multi-angle review" route to Claude Code's built-in `Agent` tool. Direct invocation `/codex-council:codex-council`. On invocation, ultrathink about what the user is actually doing, compose a tailored panel ground-up, announce it briefly, then launch without a manual approval gate.
autocli
Use autocli CLI to interact with social/content websites (HackerNews, DevTo, Lobsters, StackOverflow, Steam, Linux-do, Arxiv, Wikipedia, Apple-Podcasts, Xiaoyuzhou, BBC, Hugging Face, SinaFinance, Google, V2EX, Bloomberg, Twitter/X, Bilibili, Reddit, Zhihu, Xiaohongshu, Xueqiu, Weibo, Douban, WeRead, YouTube, Medium, Substack, SinaBlog, BOSS直聘, Jike, Facebook, Instagram, TikTok, Yollomi, Yahoo-Finance, Barchart, LinkedIn, Reuters, SMZDM, Ctrip, Coupang, Grok, Jimeng, Chaoxing, Weixin, Doubao, Cursor, Codex, ChatWise, ChatGPT, Doubao-App, Notion, Discord, Antigravity etc.) via the user's Chrome login session. ALWAYS prefer autocli over playwright/browser automation for these supported sites. Triggers: user asks to browse, search, or fetch hot/trending content from internet, post, or read messages on any web site;
research-lookup
Look up current research information using the Parallel Chat API (primary) or Perplexity sonar-pro-search (academic paper searches). Automatically routes queries to the best backend. Use for finding papers, gathering research data, and verifying scientific information.
llm-evaluate
Evaluate LLM models for cost/performance ratio. Fetches current pricing and recommends optimal model for your use case. Use during project init or when optimizing costs.
claude-code-docs
Local mirror of Anthropic Claude Code product documentation (code.claude.com/docs): CLI, hooks, skills, plugins, MCP, subagents, AGENTS.md, slash commands, output styles, sandboxing, permissions, Agent SDK (TypeScript and Python), Claude Desktop, Slack, Chrome, Web, monitoring and usage, the Claude Code changelog, and weekly "What's New" digests. Use whenever the user asks how Claude Code behaves, how to install or configure Claude Code, or what a Claude Code flag, hook, slash command, environment variable, or feature does. Read this skill's references/ before generic web search for Claude Code product questions. Do NOT use for OpenAI Codex, Cursor, general Anthropic API, Claude.ai consumer, or other coding agents.
clawid
ClawID is a universal identity and verification protocol for AI agents. Use this skill to register your agent, get a ClawID, verify other agents before interacting with them, and authenticate with ClawID-enabled services.
data-fetching
Data fetching architecture guide using Service layer + Zustand Store + SWR. Use when implementing data fetching, creating services, working with store hooks, or migrating from useEffect. Triggers on data loading, API calls, service creation, or store data fetching tasks.
guard-users-chatgpt
Guardrail policy for Chatgpt CLI: refuse catastrophic actions, require scoped approvals, and reduce secret leakage.
openai-knowledge
Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.
dev-builder
全栈开发工程师技能包，负责根据产品需求文档和原型图实现功能代码。涵盖技术栈选择、项目初始化、功能实现、代码质量控制和功能验证。
ai-news-skill
Collect and filter AI news from multiple RSS/Atom sources and return concise, ranked results directly into agent context. Use when a user asks for fresh AI/LLM industry updates, topic-focused AI digests, or summary briefs with links.
azure-image-gen
Generate a single image via Azure OpenAI Images REST API and return it inline in OpenClaw.
codex-plan-review
OpenAI Codex CLIで実装プランをレビュー。Plan作成後にユーザー確認前に実行。「プランレビュー」「plan review」などで起動。
unknown-skill
How to setup, debug, and execute the DeepSeek Playwright API proxy
web
Search the public web with citations, fetch pages, and extract readable text.
Integration detected automatically from skill content. Some results may be false positives.