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: workshop

英語版ディレクトリ

A workshop that teaches you how to build your own coding agent. Similar to Roo code, Cline, Amp, Cursor, Windsurf or OpenCode.

5.7K
Stars
77/100
信頼
カテゴリ: coding-agents監査

OpenClaw / QClaw plugin that visualizes AI agents as 3D NPCs in a game town — with social simulation, a map editor, and a character workshop.

1.3K
Stars
83/100
信頼
カテゴリ: agent-frameworks監査

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

10K
Stars
76/100
信頼
カテゴリ: ml-automation監査

Generate highly simplified personified IP mascot logos with Flat-first geometry, rounded heavy forms, two IP colors plus one background color by default, and extremely subtle neo-skeuomorphic shading. Use when creating an animal, creature, robot, ghost, plant, object, or other character as a minimal square logo or app-icon artwork, including when the agent should infer three distinct IP directions from product-repository context.

2.0K
Stars
73/100
信頼
カテゴリ: automation監査

鲁班 | Luban — 把'能用的Skill'打磨成'能被装、能传播、能验证、能进化'的公共资产。Agent skill-polishing workshop: 验料·访行·过尺·慢刨·回炉

890
Stars
69/100
信頼
カテゴリ: agent-skills監査

⚙️ A Gentle introduction to Kubernetes with more than just the basics. 🌟 Give it a star if you like it.

3.2K
Stars
65/100
信頼
カテゴリ: devops監査

Toolkit for creating, sharing and using natural language prompts.

3.0K
Stars
70/100
信頼
カテゴリ: ml-automation監査

Foam-Agent: An end-to-end, composable multi-agent framework for automating CFD simulations in OpenFOAM. NeurIPS 2025 Machine Learning and the Physical Sciences Workshop.

260
Stars
70/100
信頼
カテゴリ: agent-frameworks監査

Management consulting skills for Claude Code, Cowork, Codex, and other agents. Strategy, operations, and transformation workflows for the full engagement lifecycle.

43
Stars
66/100
信頼
カテゴリ: utility監査

A spec-driven development and code quality toolkit for AI coding agents, installable via npm and integrated with multiple agent harnesses.

39
Stars
70/100
信頼
カテゴリ: coding-agents監査

PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Best Paper Awards @ NeurIPS ML Safety Workshop 2022

515
Stars
71/100
信頼
カテゴリ: ml-automation監査

An introductory workshop on pandas with notebooks and exercises for following along. Slides contain all solutions.

448
Stars
66/100
信頼
カテゴリ: data-analysis監査