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。

A portable AI agent skill that enhances AI-generated user interfaces with better layout, typography, motion, and spacing to avoid generic outputs.

65K
Stars
87/100
信頼
カテゴリ: development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

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

59K
Stars
87/100
信頼
カテゴリ: media-automation監査

This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.

13K
Stars
87/100
信頼
カテゴリ: design-creative監査

Easy to use open source fast database for search | Good alternative to Elasticsearch | Drop-in replacement for E in the ELK stack

12K
Stars
83/100
信頼
カテゴリ: rag-knowledge監査

A curated collection of reusable agent skills for designers and builders to generate UI prompts and workflows using AI coding agents.

4.8K
Stars
86/100
信頼
カテゴリ: design-creative監査

Powerful Markdown package for Sublime Text with better syntax understanding and good color schemes.

3.3K
Stars
85/100
信頼
カテゴリ: document-processing監査

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

24K
Stars
76/100
信頼
カテゴリ: data監査

Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming. Good first issue.

2.5K
Stars
80/100
信頼
カテゴリ: ml-automation監査

A Three.js agent skill pack for generating high-quality 3D graphics, scenes, and games, packaged for AI coding agents like Claude Code, Codex, and Cursor.

530
Stars
84/100
信頼
カテゴリ: design-creative監査

AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.

1.8K
Stars
83/100
信頼
カテゴリ: data-analysis監査

A minimal Python project template with an installable agent skill bundle for modern uv-based workflows, designed for use with coding agents.

294
Stars
80/100
信頼
カテゴリ: coding-agents監査