Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: repository-level-context

英語版ディレクトリ

A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.

165K
Stars
81/100
信頼
カテゴリ: coding-agents監査

Review a branch or diff against repository standards and the originating spec in two independent analysis passes.

169K
Stars
86/100
信頼
カテゴリ: coding-agents監査

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

23K
Stars
87/100
信頼
カテゴリ: media-automation監査

Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.

165K
Stars
81/100
信頼
カテゴリ: coding-agents監査

Public repository for Agent Skills

162K
Stars
76/100
信頼
カテゴリ: agent-skills監査

Coding articles to level up your development skills

128K
Stars
82/100
信頼
カテゴリ: education監査

Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.

176K
Stars
81/100
信頼
カテゴリ: coding-agents監査

React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.

30K
Stars
88/100
信頼
カテゴリ: coding-agents監査

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

84K
Stars
87/100
信頼
カテゴリ: agent-frameworks監査

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

83K
Stars
87/100
信頼
カテゴリ: agent-frameworks監査

Tesseract Open Source OCR Engine (main repository)

75K
Stars
81/100
信頼
カテゴリ: document-processing監査

Persistent file-based planning for AI coding agents and long-running agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic completion gate and multi-agent shared state on disk. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard.

26K
Stars
86/100
信頼
カテゴリ: agent-skills監査