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: reasoning

英語版ディレクトリ

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

34K
Stars
80/100
信頼
カテゴリ: rag-knowledge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

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

16K
Stars
79/100
信頼
カテゴリ: rag-knowledge監査

28 eval-informed mental models and critical-thinking skills for Claude Code, GitHub Copilot, Codex, Cursor, and other Agent Skills-compatible tools

941
Stars
84/100
信頼
カテゴリ: utility監査

Implement a reasoning LLM in PyTorch from scratch, step by step

4.5K
Stars
80/100
信頼
カテゴリ: ml-automation監査

给纯文本 LLM agent 装上眼睛:图片问答、OCR、截图分析、视觉定位等一套视觉工具箱 + skill,并可无缝接入 Codex、Claude Code、OpenCode、Pi | Give text-only LLM agents vision: image Q&A, OCR, screenshot understanding, visual grounding, image-to-SVG - a vision toolkit & skill, with drop-in integration for Codex, Claude Code, OpenCode, Pi

321
Stars
77/100
信頼
カテゴリ: utility監査

Canonical source and governance toolkit for Zhijian AI public Agent Skills

292
Stars
75/100
信頼
カテゴリ: utility監査

Autonomous penetration testing using a swarm of AI agents. Orchestrates recon, classification, exploitation, and reporting specialists with ReAct reasoning — supports bug bounty, continuous monitoring, and CTF modes. Built with Go, Claude API, and 7+ native security tools.

1.8K
Stars
83/100
信頼
カテゴリ: agent-frameworks監査

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

1.8K
Stars
76/100
信頼
カテゴリ: data監査

Semantica 🧠 — AI-native knowledge graph intelligence framework for semantic retrieval, ontology reasoning, context graphs, and explainable AI systems.

1.3K
Stars
84/100
信頼
カテゴリ: agent-frameworks監査

Probabilistic reasoning and statistical analysis in TensorFlow

4.4K
Stars
77/100
信頼
カテゴリ: ml-automation監査