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: prompt-retrieval

英語版ディレクトリ

Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.

17K
Stars
87/100
信頼
カテゴリ: design-creative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

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

30K
Stars
87/100
信頼
カテゴリ: rag-knowledge監査

A collection of practical, installable AI agent skills for disk cleanup, AI news retrieval, and project management, following the Agent Skills standard.

20K
Stars
90/100
信頼
カテゴリ: utility監査

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

37K
Stars
82/100
信頼
カテゴリ: rag-knowledge監査

A modular graph-based Retrieval-Augmented Generation (RAG) system

34K
Stars
82/100
信頼
カテゴリ: data監査

🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

29K
Stars
79/100
信頼
カテゴリ: development監査

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

28K
Stars
78/100
信頼
カテゴリ: rag-knowledge監査

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

26K
Stars
87/100
信頼
カテゴリ: data監査

A tool that lets AI agents like Claude Code edit videos by cutting filler words, color grading, adding subtitles, and more, all via natural language commands.

17K
Stars
85/100
信頼
カテゴリ: media監査

A Codex skill for generating minimal zine-style editorial poster prompts and images.

6.3K
Stars
83/100
信頼
カテゴリ: design-creative監査