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Claude Skills

The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.

Every Agent Skill we could find on GitHub, deduplicated by content. 79 870 files from 1 769 authors, of which 62 217 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.

62 217
unique skills
out of 79 870 files found on GitHub
17 653
are copies
same content, someone else's repository
1 743
tokens, median
what a typical skill costs you in context
7 935
name collisions
two skills with one name cannot sit side by side

23 881–23 940 of 62 217

page 399 of 1 037
AI Regression Testing
by loulanyue

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.

3k tokens
Android Clean Architecture
by loulanyue

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns.

2k tokens
API Design
by loulanyue

REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.

3k tokens
Architecture Decision Records
by loulanyue

Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.

2k tokens
Article Writing
by loulanyue

Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.

840 tokens
Autonomous Loops
by loulanyue

Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.

6k tokens
Backend Patterns
by loulanyue

Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.

3k tokens
Blueprint
by loulanyue

>-

1k tokens
Bun Runtime
by loulanyue

Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.

702 tokens
Carrier Relationship Management
by loulanyue

>

6k tokens
Claude API
by loulanyue

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

2k tokens
Claude Devfleet
by loulanyue

Orchestrate multi-agent coding tasks via Claude DevFleet — plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.

2k tokens
Clickhouse Io
by loulanyue

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

2k tokens
Codebase Onboarding
by loulanyue

Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.

2k tokens
Coding Standards
by loulanyue

Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.

3k tokens zh
Compose Multiplatform Patterns
by loulanyue

Compose Multiplatform and Jetpack Compose patterns for KMP projects — state management, navigation, theming, performance, and platform-specific UI.

2k tokens
Configure Ecc
by loulanyue

Interactive installer for awesome claude notes — guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.

4k tokens
Content Engine
by loulanyue

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

697 tokens
Content Hash Cache Pattern
by loulanyue

Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.

1k tokens
Context Budget
by loulanyue

Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.

1k tokens
Continuous Agent Loop
by loulanyue

Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.

338 tokens
Continuous Learning V2
by loulanyue

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.

4k tokens zh
Continuous Learning
by loulanyue

Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.

850 tokens zh
Cost Aware LLM Pipeline
by loulanyue

Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching.

1k tokens
Cpp Coding Standards
by loulanyue

C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.

6k tokens
Cpp Testing
by loulanyue

Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.

2k tokens
Crosspost
by loulanyue

Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.

1k tokens
Customs Trade Compliance
by loulanyue

>

7k tokens
Data Scraper Agent
by loulanyue

Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.

6k tokens
Database Migrations
by loulanyue

Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).

3k tokens
Deep Research
by loulanyue

Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.

1k tokens
Deployment Patterns
by loulanyue

Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.

3k tokens
Django Patterns
by loulanyue

Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.

5k tokens
Django Security
by loulanyue

Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.

4k tokens
Django Tdd
by loulanyue

Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.

5k tokens
Django Verification
by loulanyue

Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.

3k tokens
Dmux Workflows
by loulanyue

Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.

2k tokens
Docker Patterns
by loulanyue

Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.

2k tokens
Documentation Lookup
by loulanyue

Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).

1k tokens
E2e Testing
by loulanyue

Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.

2k tokens
Energy Procurement
by loulanyue

>

7k tokens
Enterprise Agent Ops
by loulanyue

Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.

358 tokens
Eval Harness
by loulanyue

Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles

1k tokens zh
Exa Search
by loulanyue

Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.

899 tokens
Fal AI Media
by loulanyue

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

2k tokens
Flutter Dart Code Review
by loulanyue

Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.

6k tokens
Foundation Models On Device
by loulanyue

Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.

2k tokens
Frontend Patterns
by loulanyue

Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.

4k tokens
Frontend Slides
by loulanyue

Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.

4k tokens
Golang Patterns
by loulanyue

Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.

3k tokens
Golang Testing
by loulanyue

Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.

4k tokens
Inventory Demand Planning
by loulanyue

>

6k tokens
Investor Materials
by loulanyue

Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.

737 tokens
Investor Outreach
by loulanyue

Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.

591 tokens
Iterative Retrieval
by loulanyue

Pattern for progressively refining context retrieval to solve the subagent context problem

2k tokens zh
Java Coding Standards
by loulanyue

Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.

1k tokens
Jpa Patterns
by loulanyue

JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.

1k tokens
Kotlin Coroutines Flows
by loulanyue

Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operators, StateFlow, error handling, and testing.

2k tokens
Kotlin Exposed Patterns
by loulanyue

JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.

6k tokens
Kotlin Ktor Patterns
by loulanyue

Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.

5k tokens

Claude Skills — questions

Answers built from the skills we actually parsed.

What is a Claude Skill?
A folder with a SKILL.md file: instructions that teach an agent to do one thing well, optionally with scripts and reference files alongside. The format is open and called Agent Skills — Claude Code, Codex and other agents read the same files. It is not a program you run; it is knowledge the agent loads when the task calls for it.
How is a skill different from an MCP server?
A server gives the agent new abilities — it connects to something and exposes tools. A skill gives the agent knowledge: how to use what it already has. They combine, and often literally: 11 541 of the skills here declare which MCP servers they need to work.
Why are there fewer skills here than in other catalogues?
Because we deduplicate by content. Of 79 870 files found on GitHub, 62 217 are unique — the rest is the same skill copied into someone else's repository, word for word. Catalogues that count files rather than skills show every copy as a separate entry.
What does the token count mean?
A skill is loaded into the model's context when it is used, so its size is a running cost on every request that touches it. We measure the whole folder, not just SKILL.md: one official skill is 377 tokens, another drags 83 files of fonts behind it.
How do I install a skill?
Copy the skill folder into ~/.claude/skills for personal use, or into .claude/skills inside a project. The agent picks it up by the name in the SKILL.md header — which is worth checking: 7 935 skills here share a name with another skill, and two of them cannot sit side by side.