Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: ai-art

Englisches Verzeichnis

Production-grade engineering skills for AI coding agents.

88K
Stars
80/100
Trust
Kategorie: agent-skillsAudit

A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.

92K
Stars
80/100
Trust
Kategorie: developmentAudit

Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.

171K
Stars
81/100
Trust
Kategorie: design-creativeAudit

Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.

54K
Stars
83/100
Trust
Kategorie: researchAudit

Open-source LLM-friendly web crawler and scraper

73K
Stars
82/100
Trust
Kategorie: web-automationAudit

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

50K
Stars
88/100
Trust
Kategorie: agent-skillsAudit

Build and run autonomous AI agents for open-ended tasks

186K
Stars
77/100
Trust
Kategorie: agent-frameworksAudit

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
Trust
Kategorie: design-creativeAudit

100+ AI Agent & RAG apps you can actually run — clone, customize, ship.

114K
Stars
82/100
Trust
Kategorie: dataAudit

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

162K
Stars
87/100
Trust
Kategorie: ml-automationAudit

The agent engineering platform.

141K
Stars
82/100
Trust
Kategorie: agent-frameworksAudit