aiskillstore

claude-code-debug

Troubleshoot Claude Code extensions and behavior. Triggers on: debug, troubleshoot, not working, skill not loading, hook not running, agent not found.

claude-code-headless

Run Claude Code programmatically without interactive UI. Triggers on: headless, CLI automation, --print, output-format, stream-json, CI/CD, scripting.

claude-code-hooks

Claude Code hook system for pre/post tool execution. Triggers on: hooks, PreToolUse, PostToolUse, hook script, tool validation, audit logging.

claude-code-templates

Boilerplate templates for Claude Code extensions. Triggers on: create agent, new skill, command template, hook script, extension scaffold.

Analyze codebase with tokei (fast line counts by language) and difft (semantic AST-aware diffs). Get quick project overview without manual counting. Triggers on: how big is codebase, count lines of code, what languages, show semantic diff, compare files, code statistics.

container-orchestration

Docker, Kubernetes, and AWS ECS/Fargate patterns. Triggers on: Dockerfile, docker-compose, kubernetes, k8s, helm, pod, deployment, service, ingress, container, image, ecs, fargate, task definition, ecs service, awsvpc, FARGATE_SPOT, ALB, ecs vs kubernetes.

data-processing

Process JSON with jq and YAML/TOML with yq. Filter, transform, query structured data efficiently. Triggers on: parse JSON, extract from YAML, query config, Docker Compose, K8s manifests, GitHub Actions workflows, package.json, filter data.

file-search

Modern file and content search using fd, ripgrep (rg), and fzf. Triggers on: fd, ripgrep, rg, find files, search code, fzf, fuzzy find, search codebase.

mcp-patterns

Model Context Protocol (MCP) server patterns for building integrations with Claude Code. Triggers on: mcp server, model context protocol, tool handler, mcp resource, mcp tool.

python-async-patterns

Python asyncio patterns for concurrent programming. Triggers on: asyncio, async, await, coroutine, gather, semaphore, TaskGroup, event loop, aiohttp, concurrent.

python-cli-patterns

CLI application patterns for Python. Triggers on: cli, command line, typer, click, argparse, terminal, rich, console, terminal ui.

python-database-patterns

SQLAlchemy and database patterns for Python. Triggers on: sqlalchemy, database, orm, migration, alembic, async database, connection pool, repository pattern, unit of work.

python-env

Fast Python environment management with uv (10-100x faster than pip). Triggers on: uv, venv, pip, pyproject, python environment, install package, dependencies.

python-fastapi-patterns

FastAPI web framework patterns. Triggers on: fastapi, api endpoint, dependency injection, pydantic model, openapi, swagger, starlette, async api, rest api, uvicorn.

python-observability-patterns

Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.

Testing & QA Solid

python-pytest-patterns

pytest testing patterns for Python. Triggers on: pytest, fixture, mark, parametrize, mock, conftest, test coverage, unit test, integration test, pytest.raises.

python-typing-patterns

Python type hints and type safety patterns. Triggers on: type hints, typing, TypeVar, Generic, Protocol, mypy, pyright, type annotation, overload, TypedDict.

rollinggo-hotel-booking

RollingGo 酒店搜索与预订助手，通过调用 RollingGo 酒店服务接口实现酒店查询到下单预订全流程。支持场景：① 按城市/景点/地铁站/机场等地点搜索酒店 ② 按星级、预算、标签（泳池/含早/亲子/宠物友好等）筛选 ③ 查询指定酒店的实时房型与价格 ④ 对比多家酒店 ⑤ 引导用户完成预订。触发词：找酒店、订酒店、搜酒店、酒店推荐、酒店查询、附近酒店、五星酒店、民宿、度假村、查房价、看房型、入住、住哪、住宿、rollinggo、旅游住宿、出差住宿、亲子酒店、带泳池的酒店、含早餐酒店。

chugui-dingzhi-bikeng-zhinan

橱柜定制避坑指南专用 Skill。覆盖台面材质、柜门与板材、五金与配件、衣柜鞋柜与餐边柜、橱柜布局与尺寸、全屋定制避坑等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的橱柜定制避坑。

cizhuan-mudiban-xuangou-zhinan

瓷砖木地板选购指南专用 Skill。覆盖木纹砖与通铺、铺贴工艺、木地板选购、踢脚线与过门石、厨卫砖、瓷砖选购等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的瓷砖木地板选购。

dengguang-zhaoming-bikeng-zhinan

灯光照明避坑指南专用 Skill。覆盖无主灯设计、灯带与氛围光、主灯与吸顶灯、色温显色与选灯、分区照明、灯光综合等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的灯光照明避坑。

diaoding-zhuangxiu-zhinan

吊顶装修指南专用 Skill。覆盖厨卫吊顶、不吊顶与石膏线、材料与工艺、层高与尺寸、客厅吊顶造型等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的吊顶装修。

fushi-yuelou-loft-zhuangxiu-zhinan

复式·跃层·LOFT装修指南专用 Skill。覆盖楼梯设计与安全、挑空与夹层、跃层与顶楼阁楼、空间规划与功能、公寓与复式综合等全流程，倒序整合西安装修课堂会员版知识库精华，帮用户装出更省心、不踩坑的复式·跃层·LOFT装修。

agy-worker

Let Codex use Google Antigravity CLI (agy) for repository exploration, bounded feature work, and project-scale implementation. Use when a Codex task benefits from delegated repository work while Codex retains diff review, verification, repair, and delivery assurance.

marketing-mindset

Use when the user needs a professional marketer's operating mindset for any marketing, growth, or client-acquisition task — finding first customers, writing an ad or landing page, evaluating an idea, deciding whether to do X to get Y, positioning or launching a B2B or SaaS product, running cold outreach, setting up ads, or writing copy — not a tactical template.

seedance-2-5-image-to-video

Animate a single still image into a 4-30 second 720p cinematic clip with optional synchronized native audio using ByteDance Seedance 2.5 Image to Video on RunComfy. Documents the four-field schema (prompt, image, duration, generate_audio), the $0.35/s pricing, the fact that output aspect ratio follows the input image, and when to route to the Seedance 2.5 480p, text-to-video, reference-to-video or first-last-frame pages instead. Calls `runcomfy run bytedance/seedance-2.5/image-to-video/720p` through the local RunComfy CLI. Triggers on "seedance 2.5 image to video", "seedance image to video", "seedance i2v", "animate this image with seedance", "bytedance image to video", or any explicit ask to turn a still into video with Seedance 2.5.

seedance-2-5-reference-to-video

Generate reference-guided 1080p video with ByteDance Seedance 2.5 Reference to Video on RunComfy via the `runcomfy` CLI. Feed up to 9 reference images, 1-3 reference video clips, and 3 reference audio files into one call and get a 4-30 second 1080p clip with native synchronized audio, identity and style locked to your references. Documents the full input schema (images / videos / audios / aspect_ratio / duration / generate_audio), the counted-seconds billing model ($0.53 per second of reference video duration plus output duration), the 480p draft-then-deliver workflow, and when to route to Seedance 2.5 text-to-video, image-to-video, or Seedance 2.0 Pro instead. Calls `runcomfy run bytedance/seedance-2.5/reference-to-video/1080p`. Triggers on "seedance 2.5", "seedance 2.5 reference to video", "reference to video", "reference-to-video", "seedance 1080p", "ByteDance Seedance 2.5", "consistent character video", "style-locked video", or any explicit ask to generate video from reference images and clips.

wan-3-0-prime-reference-to-video

Build video clips from reference images, reference videos, and reference audio with Wan-AI Wan 3.0 Prime Reference to Video on RunComfy. Up to 10 reference images, 5 reference videos and 5 reference audio clips are bound to a prompt that names them as "Image 1", "Video 1", "Audio 1", giving character, product and scene consistency across a 2-30 second shot at 480p, 720p or 1080p with a synchronized audio track. Documents the full input schema, the counted-second pricing model (reference videos are billed as duration, images and audio are not), and when to route to Wan 3.0 Prime text-to-video / image-to-video, Wan 2.7 or Seedance 2.0 Pro instead. Calls `runcomfy run wan-ai/wan-3.0-prime/reference-to-video` through the local RunComfy CLI. Triggers on "wan 3 prime reference to video", "wan 3.0 prime", "wan3 prime", "reference to video", "ref2v", "keep the same character across shots", "video from reference images", or any explicit ask to generate video from references with this model.

serenity-skill

Turn an investment agent into a supply-chain bottleneck hunter. Use this skill for source-backed investment research, live market/theme scans, AI/semi/technology value-chain mapping, A-share/HK/US stock screening, thesis stress tests, and Serenity-inspired research conversations. Trigger on requests like "用 Serenity 的方式看", "深度调研", "产业链/供应链/卡点/瓶颈", "A股 AI 半导体哪个最值得研究", "find unknown bottlenecks", "rank candidates", or "challenge this thesis". Outputs plain-language reasoning, ranked research priorities, evidence chains, risks, and next verification steps. Research support only; no trade execution.

Testing & QA Solid

golang-cli

Golang CLI application development. Use when building, modifying, or reviewing a Go CLI tool — especially for command structure, flag handling, configuration layering, version embedding, exit codes, I/O patterns, signal handling, shell completion, argument validation, and CLI unit testing. Also triggers when code uses cobra, viper, or urfave/cli. For cobra-specific APIs → See `samber/cc-skills-golang@golang-spf13-cobra` skill; for viper configuration layering → See `samber/cc-skills-golang@golang-spf13-viper` skill.

golang-documentation

Comprehensive documentation guide for Golang projects, covering godoc comments, README, CONTRIBUTING, CHANGELOG, Go Playground, Example tests, API docs, and llms.txt. Use when writing or reviewing doc comments, documentation, adding code examples, setting up doc sites, or discussing documentation best practices. Triggers for both libraries and applications/CLIs.

golang-lint

Linting best practices and golangci-lint configuration for Golang projects — running linters, configuring .golangci.yml, suppressing warnings with nolint directives, interpreting lint output, and selecting linters. Use when configuring golangci-lint, asking about lint warnings or nolint suppressions, setting up code quality tooling, or choosing linters. Also use when the user mentions golangci-lint, go vet, staticcheck, or revive. Not for wiring a lint step into a GitHub Actions pipeline (→ See `samber/cc-skills-golang@golang-continuous-integration` skill).

golang-modernize

Modernize Golang code to use recent language features, standard library improvements, and idiomatic patterns. Use when reviewing Go code with old-style patterns, when encountering a deprecation warning, or when the user asks for modernization, a Go version upgrade (e.g. to Go 1.27), or a CI/tooling refresh. Not for structural refactors, extracting functions, or moving code between packages (→ See `samber/cc-skills-golang@golang-refactoring` skill).

golang-samber-lo

Functional programming helpers for Golang using samber/lo — 500+ type-safe generic functions for slices, maps, channels, strings, math, tuples, and concurrency (Map, Filter, Reduce, GroupBy, Chunk, Flatten, Find, Uniq, etc.). Core immutable package (lo), concurrent variants (lo/parallel aka lop), in-place mutations (lo/mutable aka lom), lazy iterators (lo/it aka loi for Go 1.23+), and experimental SIMD (lo/exp/simd). Apply when using or adopting samber/lo, when the codebase imports github.com/samber/lo, or when implementing functional-style data transformations in Go. Not for streaming pipelines (→ See `samber/cc-skills-golang@golang-samber-ro` skill).

golang-samber-slog

Structured logging extensions for Golang using samber/slog-**** packages — multi-handler pipelines (slog-multi), log sampling (slog-sampling), attribute formatting (slog-formatter), HTTP middleware (slog-fiber, slog-gin, slog-chi, slog-echo), and backend routing (slog-datadog, slog-sentry, slog-loki, slog-syslog, slog-logstash, slog-graylog...). Apply when using or adopting slog, or when the codebase already imports any github.com/samber/slog-* package.

golang-spf13-cobra

Golang CLI command tree library using spf13/cobra — cobra.Command, RunE vs Run, PersistentPreRunE hook chain, Args validators (NoArgs, ExactArgs, MatchAll, custom), persistent vs local flags, command groups, ValidArgsFunction, RegisterFlagCompletionFunc, ShellCompDirective, usage/help template customization, man-page and markdown doc generation, and testing with SetArgs/SetOut/SetErr. Apply when using or adopting spf13/cobra, or when the codebase imports `github.com/spf13/cobra`. For configuration layering alongside cobra, see the `samber/cc-skills-golang@golang-spf13-viper` skill. For general CLI architecture (project layout, exit codes, signal handling, I/O patterns), see `samber/cc-skills-golang@golang-cli`.

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.

find-replace

Modern find-and-replace using sd (simpler than sed) and batch replacement patterns. Triggers on: sd, find replace, batch replace, sed replacement, string replacement, rename.

project-planner

Detects stale project plans and suggests session commands. Triggers on: sync plan, update plan, check status, plan is stale, track progress, project planning.

create-pr

GitHubのプルリクエスト（PR）を作成する際に使用します。変更のコミット、プッシュ、PR作成を含む完全なワークフローを日本語で実行します。「PRを作って」「プルリクエストを作成」「pull requestを作成」などのリクエストで自動的に起動します。

git-workflow

Enhanced git operations using lazygit, gh (GitHub CLI), and delta. Triggers on: stage changes, create PR, review PR, check issues, git diff, commit interactively, GitHub operations, rebase, stash, bisect.

rest-patterns

Quick reference for RESTful API design patterns, HTTP semantics, caching, and rate limiting. Triggers on: rest api, http methods, status codes, api design, endpoint design, api versioning, rate limiting, caching headers.

security-patterns

Security patterns and OWASP guidelines. Triggers on: security review, OWASP, XSS, SQL injection, CSRF, authentication, authorization, secrets management, input validation, secure coding.

sql-patterns

Quick reference for common SQL patterns, CTEs, window functions, and indexing strategies. Triggers on: sql patterns, cte example, window functions, sql join, index strategy, pagination sql.

mloda-plugins

Guide an AI agent through building mloda (https://github.com/mloda-ai/mloda) plugins: FeatureGroup, ComputeFramework, and Extender classes. Use to check the mloda-registry index for an existing plugin before writing one, when writing or reviewing a FeatureGroup/ComputeFramework/Extender implementation, or when packaging, sharing, or publishing a plugin to mloda-registry.

mloda

Give an AI agent declarative, deterministic data access via mloda (https://github.com/mloda-ai/mloda) - a Python plugin framework where the caller describes WHAT features or data it needs and mloda resolves HOW to compute or fetch them across a plugin graph, with built-in lineage back to source. Use when an agent needs to check whether an existing mloda plugin already covers a requested feature (see the `mloda-plugins` skill for writing a new one), before requesting structured data or feature aggregations as a tool call instead of writing ad hoc fetch/transform code (the "LLM Tool Function" pattern), assembling a multi-source context window declaratively, or chaining retrieval/validation/redaction steps for a RAG pipeline by feature name.

fact-check-x-complete

面向真实业务决策的多平台事实核验 Skill。正式支持深知晓、深知晓（深度研究）、豆包、腾讯元宝、DeepSeek 和通义千问，按用户输入动态选择 N≥1 个平台。完整采集原回答、引用、截图与页面存证，拆解并对比关键事实，再按需使用可信搜索取得权威证据，交付四份独立报告和可追溯结论。基础采集与对比无需 API Key；可信搜索是权威核验阶段的可选增强。语义工作由 Codex、Claude Code、WorkBuddy 等当前运行载体完成，不调用外部大模型 API。

analyzing-products

Normalizes a product into generation-ready facts — from an e-commerce URL (a clean description plus curated product images) or from a photo alone (category, how it's used, its moving/opening parts, and key visual details). Use when a product URL or photo needs turning into inputs for image/video generation, or when another skill needs product facts before generating.

generating-ai-actors

Generates one photorealistic person as a single image — an AI actor, influencer, presenter or model. The image is reusable, so passing it into any later generation brings the same face, hair and build back and one person can hold across a whole set of images or videos. Use when the user wants an AI actor, or when something needs a person and no photo of one was supplied.

generating-audio

ALWAYS read this skill before generating spoken audio or calling audio_generate — a voiceover, narration, an ad read, a character line, or any script read aloud. Turns a script into speech — picks the model and voice, prepares the text for reading, and splits a long script into clips. Use whenever the user asks for text-to-speech, a voiceover, narration, or to have something read or spoken aloud.

generating-images

ALWAYS read this skill before generating or editing any image, or calling image_generate — text-to-image or image-to-image, simple or complex. Turns a text brief, optionally guided by reference images (a character, a style to follow, an existing photo to edit), into a still image. Analyzes intent, routes to the best model, and structures the prompt. Use whenever the user asks to generate, create, make, design, or edit an image — except commercial photography of a product being sold, which belongs to generating-product-photos.

generating-product-photos

ALWAYS read this skill before generating a product photography — before writing any prompt or calling image_generate. Turns a product photo or URL into commercial photography - packshots, lifestyle and campaign frames, on-model, macro detail, flat lays, seasonal staging, infographics, concepts and floating shots. Reads the real product first and holds it identical across every frame. Triggers: "product photo", "packshot", "shoot my product", "studio shot", "lifestyle shot", "hero image", "on a model", "flat lay", "product infographic", "floating product", "product ad".

generating-storyboards

Generates the storyboard sheets for a video — one image per clip, panels in a row, each panel one action. Divides each clip into panels itself, then builds the sheets one at a time, each taking the previous one as a reference, so the person and product stay consistent except where the story deliberately changes them. Use when a video's clip lengths and story are settled and it needs sheets before anything is animated. Not for a still image on its own — that should be made using generating-images.

generating-ugc-videos

Generates a video of a person on camera with a product. Use when the user wants to create a video of a person using, wearing, opening or demonstrating a product. This skill should also be used when the user wants to create a UGC video, creator video, influencer ad, tiktok-style review, unboxing, try-on, OOTD, fit check, haul, talking head, creator testimonial or something similar. Not for a video with no person in it, or a person with no product to show.

generating-videos

ALWAYS read this skill before generating or animating any video, or calling video_generate — text-to-video, image-to-video, a start→end transition, or a reference / motion / audio-guided clip. Generates a video from a brief — one clip, or several clips joined into a single file at any length. Use when the user wants to make or generate a video, animate a photo, bring an image to life, produce b-roll, film a described scene, or move from one held frame to another. This skill should also be used when the video takes its motion or style from an existing video, or has to run to an existing audio track.

writing-video-prompts

Writes the motion prompt for a video clip — what moves, how the camera behaves, the physics and the audio, in the shape the chosen model wants. Works from a brief alone, from a start frame, from a source video, or from a storyboard sheet where each panel becomes a cut. Handles one clip or a whole set, returning one prompt per clip. Nothing is generated here. Use when a clip's model, duration and content are settled and it needs the prompt written.

writing-video-scripts

Writes what is said in a video — the words a person speaks on camera, or a voiceover heard over the picture. Fits the writing to the time available, so lines are never rushed to fit or padded to fill. A video longer than a single clip gets its script split into one piece per clip, each sized to that clip's seconds. Outputs the words as text only — nothing is recorded or voiced here. Use when the user wants a script, dialogue, or a voiceover written for a video.

insforge-cli

Use this skill whenever someone needs a backend, or a task touches InsForge backend or cloud infrastructure through the InsForge CLI: projects, SQL, migrations, RLS policies, functions, storage, backups, deployments, compute, secrets, config, schedules, logs, diagnostics, advisor scans and suppressions, import/export, AI/OpenRouter setup and usage overview, Stripe/Razorpay payments, Apify web scraping / data sources, PostHog product analytics, backend branches, organization membership (invite, leave, delete), agent memory (remember/recall project facts and decisions), reporting InsForge-side bugs or doc discrepancies (feedback), or CLI docs. For app code with InsForge or @insforge/sdk, use the insforge app-integration skill instead.

insforge-debug

Use when diagnosing problems in an InsForge project — reactive failures (SDK error object, HTTP 4xx/5xx, gateway timeout 502/503/504, edge function failure or timeout, login/OAuth/auth errors, RLS denial, realtime channel issues, slow query on one endpoint, edge function or Vercel deploy failure), proactive audits (security/RLS review, performance/index review, system health check, pre-launch readiness), or when the user has an error but doesn't know where to start.

insforge

Use this skill when writing app code with InsForge or @insforge/sdk: database CRUD, auth, storage uploads/storage RLS, functions, OpenRouter AI, realtime, emails, Stripe or Razorpay payments, or pointing S3-compatible tooling (aws CLI, AWS SDKs, rclone, Terraform, boto3) at InsForge Storage. Trigger on requests like add auth, fetch data, upload files, make a bucket public, add checkout, sell subscriptions, or send email. For infrastructure, SQL migrations, CLI commands, or payment provider setup, use insforge-cli instead.

archify

Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network topology, technical workflows, API call sequences, request lifecycles, data pipelines, ETL/ELT, data lineage, state machines, or to convert/beautify Mermaid.

design-mobile-apps

Use when the user wants to design a mobile app or UI screens, when they mention their Sleek (sleek.design) projects, or when implementing Sleek designs in code (HTML, React Native, SwiftUI).

break

Renders a component you choose in every state and scenario on a temporary page and stress tests it.

explain-interface

Helps you figure out how something was built on the web.

interface-review

Reviews your work across multiple categories like UI, typography, layout, color, writing and accessibility and gives you a detailed analysis of the findings.

variant

Builds multiple variants of a component you're working on and helps you iterate and pick one.

gmgn-kline-pattern

Price-action pattern reading — classifies a token's candles into a named pattern (uptrend channel, breakdown, bounce off the lows, distribution at highs, basing, wide chop, consolidation) and scores it 0-100 from six measurements you compute directly from the kline response. Every point added or deducted states its reason. Use when the user asks about K 线, K线形态, 走势, 趋势, 形态, price action, chart pattern, whether a chart looks strong or weak, is it breaking down, is it consolidating, or wants a technical read of a token's chart rather than the raw numbers.

gmgn-token-buy

Turn a token name into a vetted, sized buy order. Two things here are exclusive to this skill: resolving a NAME or symbol to the one right contract among its copycats, and sizing an order — amount, slippage, gas, position. No sibling does either. USE THIS SKILL WHEN a buy is being prepared, which shows up as a NAME or symbol, or an AMOUNT, or both — including the plainest possible ask with no mention of checking: 我想买 200u 的 PENGU, 帮我买 500 刀的 BONK, 买 1 个 SOL 的 WIF, 帮我买点 dogwifhat, 想梭 100u 的 XX, PENGU 现在能买吗, PENGU 能不能买, 能不能冲, 值不值得进, 确认是正主不是仿盘再买, buy me $500 of PENGU — and including a bare contract address once an amount arrives with it. DO NOT USE THIS SKILL for a bare contract address with no name to resolve and no amount to size (「这个地址能不能买」, 打个分, 尽调, 有没有貔貅, rug check, is this token safe): that one belongs to gmgn-contract-dd, which is the skill that returns the 0-100 safety verdict. This skill never computes a second verdict of its own — it CALLS gmgn-contract-dd and defers to it — so there is nothing to gain

gmgn-token

Research any crypto or meme token by address — real-time price, market cap, liquidity, holder list, trader list, top Smart Money and KOL positions, security audit (honeypot, rug pull risk, dev wallet, renounced status), social links (Twitter/X, website) via GMGN API on Solana, BSC, Base, or Ethereum. Use when user asks about a token's price, safety, holders, traders, smart money exposure, or wants due diligence before buying.

female-outfit-director

为“同一角色多套穿搭拼贴首帧 + 卡点换装短视频”生成联动的图片提示词和视频脚本。当用户要求真人化角色穿搭拼贴、五套造型、悬浮人物贴纸、汉服/古风/现代时尚换装、点击换装、卡点变装、根据上传参考图延展视频，或希望先推荐穿搭/换装参数再生成时使用。支持从参考图提取人物、发型头饰、耳饰、服装和版式；支持部分参数输入与系统补全。

always-current-datetime

Use when replying. Refresh current date and time.

dedupe

Use when deduplicating bounded collections.

jira-workflow

Orchestrate Jira workflows end-to-end. Use when building stories with approvals, transitioning items through lifecycle states, or syncing task completion with Jira.

jira-safe

Implement SAFe methodology in Jira. Use when creating Epics, Features, Stories with proper hierarchy, acceptance criteria, and parent-child linking.

chinese-learning-assistant

HSK4級レベルから流暢さを目指す学習者向け。中国語表現の使用場面・自然さを分析し、作文を「ネイティブらしい流暢な表現」に改善。bilibili等のコンテンツ理解とネイティブとの会話をサポート。実際の用例をWeb検索で提示

frontend-dev-guidelines

Next.js 15 애플리케이션을 위한 프론트엔드 개발 가이드라인. React 19, TypeScript, Shadcn/ui, Tailwind CSS를 사용한 모던 패턴. Server Components, Client Components, App Router, 파일 구조, Shadcn/ui 컴포넌트, 성능 최적화, TypeScript 모범 사례 포함. 컴포넌트, 페이지, 기능 생성, 데이터 페칭, 스타일링, 라우팅, 프론트엔드 코드 작업 시 사용.

Code & Development Listed

skill-developer

Claude Code 스킬, 훅, 에이전트, 명령어를 생성하고 관리하기 위한 메타 스킬. 새 스킬 생성, 스킬 트리거 설정, 훅 설정, Claude Code 인프라 관리 시 사용.

vibe-security

Security intelligence for code analysis. Detects SQL injection, XSS, CSRF, authentication issues, crypto failures, and more. Actions: scan, analyze, fix, audit, check, review, secure, validate, sanitize, protect. Languages: JavaScript, TypeScript, Python, PHP, Java, Go, Ruby. Frameworks: Express, Django, Flask, Laravel, Spring, Rails. Vulnerabilities: SQL injection, XSS, CSRF, authentication bypass, authorization issues, command injection, path traversal, insecure deserialization, weak crypto, sensitive data exposure. Topics: input validation, output encoding, parameterized queries, password hashing, session management, CORS, CSP, security headers, rate limiting, dependency scanning.

axe-ios-simulator

Use when automating iOS Simulator interactions, capturing screenshots/video, or inspecting accessibility via AXe CLI.

canton-network-repos

Use when working with Canton Network participants, DAML smart contracts, Splice applications, or debugging LF version and package ID issues.

extract-transcripts

Extract readable transcripts from Claude Code and Codex CLI session JSONL files

Code & Development Listed

gen-env

Creates, updates, or reviews a project's gen-env command for running multiple isolated instances on localhost. Handles instance identity, port allocation, data isolation, browser state separation, and cleanup.

go-best-practices

Use when reading or writing Go files (.go, go.mod).

API & Backend Listed

linear

Manages Linear issues, teams, and projects via CLI. Lists issues, creates tasks, views details, links issues, and runs GraphQL queries. Must use for "my Linear issues", "create Linear task", "link issues in Linear", "Linear API query", or any Linear project management request.

Testing & QA Listed

playwright-best-practices

Use when writing or modifying Playwright tests (.spec.ts, .test.ts with @playwright/test imports).

python-best-practices

Use when reading or writing Python files (.py, pyproject.toml, requirements.txt).

react-best-practices

Use when reading or writing React components (.tsx, .jsx files with React imports).

tamagui-best-practices

Use when working with Tamagui projects (tamagui.config.ts, @tamagui imports).

tilt

Use when checking deployment health, investigating errors, reading logs, or working with Tiltfiles. Queries Tilt resource status, logs, and manages dev environments.

tmux-processes

Patterns for running long-lived processes in tmux. Use when starting dev servers, watchers, tilt, or any process expected to outlive the conversation.

typescript-best-practices

Use when reading or writing TypeScript or JavaScript files (.ts, .tsx, .js, tsconfig.json).

web-fetch

Fetches web content as clean markdown by preferring markdown-native responses and falling back to selector-based HTML extraction. Use for documentation, articles, and reference pages at http/https URLs.

zig-best-practices

Use when reading or writing Zig files (.zig, build.zig, build.zig.zon).

zig-docs

Fetches Zig language and standard library documentation via CLI. Activates when needing Zig API details, std lib function signatures, or language reference content that isn't covered in zig-best-practices.

bulk-publish

Upload media files (local or URL), manage media library, and batch-create posts via BulkPublish. Use when the user wants to upload files or publish content in bulk.

migrate-to-sent

Plans and executes a migration from Twilio, Sinch, Infobip, Vonage, or MessageBird/Bird to Sent v3 — mapping send calls, status vocabularies, webhook signature schemes, opt-out stores, templates, and tenancy models, then cutting over safely with dual-run and rollback. Use when replacing an incumbent CPaaS provider, translating provider code or webhook handlers to Sent, or planning a phased cutover and its verification gates.

rcs-agent-onboarding

Guides current Sent RCS and RBM onboarding, launch evidence, carrier approval, text and suggestion-chip templates, Sender Profile readiness, and safe routing. Use for RCS launch, fallback, pinned-channel tests, or broadcast prevention.

sent-analytics

Queries Sent phone-number capabilities and aggregate messaging, deliverability, and contact analytics with the Sent MCP tools. Use when a user asks for number lookup, line or channel capability, messages sent, delivery rate, contact growth, dashboard metrics, period comparisons, or date-bounded trends. Use messaging-performance-analyzer for message-level evidence and root-cause diagnosis.

sent-contacts

Lists, finds, inspects, bulk-creates, summarizes, or deletes Sent contacts with the Sent MCP tools. Use when a user asks to search contacts, get a contact by ID, import or deduplicate a contact list, review a contact's messaging summary, remove a contact, or manage direct contact records. Requires confirmation gates for creates and deletes.

sent-profile-provisioning

Executes the Sent Sender Profile lifecycle over the API — creating profiles with the right inheritance, sharing, billing, and WhatsApp options, driving profile completion and its callback, managing 10DLC campaigns per profile, and administering users and roles. Use when calling POST /v3/profiles, handling a completion callback or unclear profile status, choosing inherit or dedicated resources, wiring per-tenant onboarding, or inviting and role-managing users.