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: cad-examples

Englisches Verzeichnis

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

React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.

30K
Stars
88/100
Trust
Kategorie: coding-agentsAudit

A comprehensive toolkit for enhancing GitHub Copilot with specialized agents, instructions, and workflows.

37K
Stars
78/100
Trust
Kategorie: developmentAudit

A comprehensive collection of ready-to-use scientific and research skills for AI agents.

31K
Stars
78/100
Trust
Kategorie: utilityAudit

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

6.3K
Stars
83/100
Trust
Kategorie: design-creativeAudit

CADAM is the open source text-to-CAD web application

4.9K
Stars
81/100
Trust
Kategorie: agent-frameworksAudit

A collection of agent skills for CAD, robotics and hardware design

8.3K
Stars
81/100
Trust
Kategorie: agent-skillsAudit

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

2.2K
Stars
85/100
Trust
Kategorie: agent-skillsAudit

A reusable skill kit for AI agents to generate structurally precise and aesthetically standardized draw.io diagrams across major cloud platforms and BPMN, with declarative layout, stencils, and validation.

620
Stars
84/100
Trust
Kategorie: design-creativeAudit

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

3.0K
Stars
80/100
Trust
Kategorie: rag-knowledgeAudit