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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

23 341–23 400 of 62 217

page 390 of 1 037
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
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

awesome claude notes のインタラクティブなインストーラー — スキルとルールの選択とインストールをユーザーレベルまたはプロジェクトレベルのディレクトリへガイドし、パスを検証し、必要に応じてインストールされたファイルを最適化します。

4k tokens zh
Coding Standards
by loulanyue

TypeScript、JavaScript、React、Node.js開発のための汎用コーディング標準、ベストプラクティス、パターン。

3k tokens
Continuous Learning V2
by loulanyue

フックを介してセッションを観察し、信頼度スコアリング付きのアトミックなインスティンクトを作成し、スキル/コマンド/エージェントに進化させるインスティンクトベースの学習システム。

4k tokens zh
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.

355 tokens
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.

2k 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
Continuous Learning
by loulanyue

Claude Codeセッションから再利用可能なパターンを自動的に抽出し、将来の使用のために学習済みスキルとして保存します。

1k tokens zh
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

C++ テストの作成/更新/修正、GoogleTest/CTest の設定、失敗またはフレーキーなテストの診断、カバレッジ/サニタイザーの追加時にのみ使用します。

3k 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
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
Customs Trade Compliance
by loulanyue

>

7k 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
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
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.

6k 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.

6k tokens
Docker Patterns
by loulanyue

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

2k 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
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
Energy Procurement
by loulanyue

>

7k tokens
E2e Testing
by loulanyue

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

2k tokens
Enterprise Agent Ops
by loulanyue

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

375 tokens
Eval Harness
by loulanyue

Claude Codeセッションの正式な評価フレームワークで、評価駆動開発(EDD)の原則を実装します

2k tokens zh
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
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.

916 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

React、Next.js、状態管理、パフォーマンス最適化、UIベストプラクティスのためのフロントエンド開発パターン。

4k 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
Golang Patterns
by loulanyue

堅牢で効率的かつ保守可能なGoアプリケーションを構築するための慣用的なGoパターン、ベストプラクティス、規約。

4k tokens
Golang Testing
by loulanyue

テスト駆動開発とGoコードの高品質を保証するための包括的なテスト戦略。

5k tokens
Inventory Demand Planning
by loulanyue

>

6k tokens
Iterative Retrieval
by loulanyue

サブエージェントのコンテキスト問題を解決するために、コンテキスト取得を段階的に洗練するパターン

2k tokens zh
Java Coding Standards
by loulanyue

Spring Bootサービス向けのJavaコーディング標準:命名、不変性、Optional使用、ストリーム、例外、ジェネリクス、プロジェクトレイアウト。

1k tokens zh
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
Kotlin Patterns
by loulanyue

Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.

5k tokens
Laravel Patterns
by loulanyue

Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.

3k tokens
Kotlin Testing
by loulanyue

Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.

5k tokens
Laravel Security
by loulanyue

Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.

2k tokens
Laravel Tdd
by loulanyue

Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.

2k tokens
Laravel Verification
by loulanyue

Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.

1k tokens
Liquid Glass Design
by loulanyue

iOS 26 Liquid Glass design system — dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.

2k tokens
Logistics Exception Management
by loulanyue

>

4k tokens
Nanoclaw Repl
by loulanyue

Operate and extend NanoClaw v2, ECC's zero-dependency session-aware REPL built on claude -p.

284 tokens
Nutrient Document Processing
by loulanyue

Nutrient DWS API を使用してドキュメントの処理、変換、OCR、抽出、編集、署名、フォーム入力を行います。PDF、DOCX、XLSX、PPTX、HTML、画像に対応しています。

2k tokens
Nuxt4 Patterns
by loulanyue

Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.

1k tokens
Perl Patterns
by loulanyue

Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.

3k tokens
Perl Security
by loulanyue

Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.

4k tokens
Perl Testing
by loulanyue

Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.

3k tokens
Plankton Code Quality
by loulanyue

Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.

2k tokens
Postgres Patterns
by loulanyue

PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.

1k tokens
Production Scheduling
by loulanyue

>

7k tokens
Python Patterns
by loulanyue

Pythonic イディオム、PEP 8標準、型ヒント、堅牢で効率的かつ保守可能なPythonアプリケーションを構築するためのベストプラクティス。

4k 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.