Zephyrex21
UserCurated Claude Skills, actually tested — not just linked. Every skill is read in full, trimmed of Claude Code-only dependencies, checked against claude.ai's upload requirements, and labeled by where it actually works. Ready-to-download zips included.
Categories
Indexed Skills (41)
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.
code-review-skill
Provides comprehensive code review guidance for React 19, Vue 3, Angular 17+, Svelte 5, Rust, TypeScript, Java, Java 8, PHP, Ruby, Rails, Python, Django, FastAPI, Go, C#/.NET, Kotlin, Swift, NestJS, C/C++, Zig, CSS/Less/Sass, Qt, and more. Covers architecture review, performance review, security audit, code quality anti-patterns, and common bugs across all ecosystems. Use when: reviewing pull requests, conducting PR reviews, code review, reviewing code changes, establishing review standards, mentoring developers, architecture reviews, security audits, performance reviews, checking code quality, finding bugs, giving feedback on code.
crewai
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution.
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
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
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
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.
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.
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.
prisma-client-api
Prisma Client API reference covering model queries, filters, operators, and client methods. Use when writing database queries, using CRUD operations, filtering data, or configuring Prisma Client. Triggers on "prisma query", "findMany", "create", "update", "delete", "$transaction".
prisma-database-setup
Guides for configuring Prisma with different database providers (PostgreSQL, MySQL, SQLite, MongoDB, etc.). Use when setting up a new project, changing databases, or troubleshooting connection issues. Triggers on "configure postgres", "connect to mysql", "setup mongodb", "sqlite setup".
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.
vitest
Provides comprehensive guidance for Vitest testing framework including fast test execution, Vite integration, component testing, mocking, and configuration. Use when the user asks about Vitest, needs to write fast unit tests, test Vue/React components, or configure Vitest with Vite projects.
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.
playwright
Provides comprehensive guidance for Playwright testing including browser automation, test writing, page objects, and cross-browser testing. Use when the user asks about Playwright, needs to write E2E tests, automate browsers, or test web applications across browsers.
pytest
Provides comprehensive guidance for pytest testing framework including test writing, fixtures, parametrization, mocking, and plugins. Use when the user asks about pytest, needs to write Python tests, use pytest fixtures, or configure pytest for Python projects.
system-design
Expert system design coach for architecture and interviews. Use when the user says "system design", "design [a system]", "HLD", "LLD", "high-level design", "low-level design", "distributed systems", "consistent hashing", "CAP theorem", "caching strategy", "load balancing", "database sharding", "design Uber", "design Twitter", "design Tinder", "design YouTube", "design a URL shortener", "design autocomplete", "design interview", "back-of-envelope estimation", or asks about scalability, replication, or fault tolerance.
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".
auth-implementation-patterns
Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
ci-cd-pipelines
CI/CD pipeline design with GitHub Actions, GitLab CI, and Jenkins. Use when the user mentions CI/CD, continuous integration, continuous deployment, GitHub Actions, GitLab CI, Jenkins, Jenkinsfile, pipeline, workflow, build automation, reusable workflow, composite action, GitLab runner, pipeline security, OIDC, secrets management, matrix build, monorepo pipeline, environment promotion, build cache, or automating build/test/deploy workflows. Complements container-orchestration and infrastructure-as-code.
cover-letter-generator
Create personalized, compelling cover letters from resume and job description
design-studio
Produce thoughtful, high-fidelity design artifacts in HTML — landing pages, slide decks, interactive prototypes, animated videos, posters, wireframes, and visual explorations. Use whenever the user asks to design, mock up, prototype, visualize, storyboard, or explore UI options — including phrases like "make a deck", "design a landing page", "prototype this flow", "animate this concept", "build a pitch deck", "create a poster", "visualize this idea", or "design something for a brand". Enforces fact verification (WebSearch before assuming a product exists or its version), the Core Asset Protocol for branded work (logo, product shots, and UI screenshots are first-class, not just colors and fonts), a Design Direction Advisor fallback that offers 3 differentiated directions from 10 design philosophies when the brief is too vague, commits to a visual system up front, presents multiple variations, and avoids AI-design tropes (aggressive gradients, emoji bullets, generic templates).
docker
Docker containerization best practices for building, securing, and deploying containers.
executing-plans
Use when you have a written implementation plan to execute in a separate session with review checkpoints
interview-prep-generator
Generate STAR stories, practice questions, and talking points from resume
linkedin-profile-optimizer
Optimize LinkedIn profile for searchability, recruiter visibility, and engagement
mongodb-development
MongoDB development guidelines with Payload CMS, Mongoose, aggregation pipelines, and TypeScript best practices.
receiving-code-review
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
requesting-code-review
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
resume-ats-optimizer
Optimize resumes for Applicant Tracking Systems, check ATS compatibility, and analyze keyword match
resume-bullet-writer
Transform weak resume bullets into achievement-focused statements with metrics and impact
resume-formatter
Ensure ATS-friendly formatting and create clean scannable layouts
resume-tailor
Customize resume for specific job postings while maintaining truthfulness
supabase-development
Supabase development guidelines for database, authentication, real-time subscriptions, and Edge Functions.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
tech-resume-optimizer
Optimize resumes for software engineering, PM, and technical roles
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
verification-before-completion
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
writing-plans
Use when you have a spec or requirements for a multi-step task, before touching code
writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.