Skill 디렉토리

AI Agent를 위한 재사용 가능한 Skill을 찾으세요.

작업으로 실제 GitHub Skill을 검색하고 사용 전에 Stars, 신뢰, 감사, 카테고리, 설치 경로를 확인하세요.

모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.

검색 결과: repository-level-context

영문 디렉토리

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
신뢰
카테고리: coding-agents감사

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

169K
Stars
86/100
신뢰
카테고리: coding-agents감사

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

23K
Stars
87/100
신뢰
카테고리: media-automation감사

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
신뢰
카테고리: coding-agents감사

Public repository for Agent Skills

162K
Stars
76/100
신뢰
카테고리: agent-skills감사

Coding articles to level up your development skills

128K
Stars
82/100
신뢰
카테고리: education감사

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
신뢰
카테고리: coding-agents감사

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

30K
Stars
88/100
신뢰
카테고리: coding-agents감사

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
신뢰
카테고리: agent-frameworks감사

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
신뢰
카테고리: agent-frameworks감사

Tesseract Open Source OCR Engine (main repository)

75K
Stars
81/100
신뢰
카테고리: document-processing감사

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
신뢰
카테고리: agent-skills감사