Annuaire de skills

Découvrez des skills réutilisables pour les AI agents.

Recherchez de vrais skills GitHub par tâche et vérifiez Stars, confiance, audit, catégorie et chemin d’installation avant de les utiliser.

Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.

Résultats de recherche: net-standard

Annuaire en anglais

Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.

33K
Stars
88/100
Confiance
Catégorie: data-analysisAudit

Persistent file-based planning for AI coding agents and long-running agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic completion gate and multi-agent shared state on disk. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard.

26K
Stars
86/100
Confiance
Catégorie: agent-skillsAudit

A collection of practical, installable AI agent skills for disk cleanup, AI news retrieval, and project management, following the Agent Skills standard.

20K
Stars
90/100
Confiance
Catégorie: utilityAudit

首家工业级全流程 AI 影视生产平台。Industry-first professional AI Agent platform for controllable film & video production. From shorts to live-action with Hollywood-standard workflows.

13K
Stars
80/100
Confiance
Catégorie: agent-frameworksAudit

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

31K
Stars
78/100
Confiance
Catégorie: utilityAudit

Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy. Default to flagging; approval is earned.

18K
Stars
87/100
Confiance
Catégorie: design-creativeAudit

Open standard for machine learning interoperability

21K
Stars
82/100
Confiance
Catégorie: ml-automationAudit

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
Confiance
Catégorie: design-creativeAudit

Code. Music. Live.

12K
Stars
76/100
Confiance
Catégorie: educationAudit

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

11K
Stars
87/100
Confiance
Catégorie: agent-frameworksAudit

An agent skill that enforces ASD-STE100 Simplified Technical English in LLM-generated documentation, reducing AI slop and improving clarity.

1.8K
Stars
86/100
Confiance
Catégorie: utilityAudit

ML.NET is an open source and cross-platform machine learning framework for .NET.

9.3K
Stars
86/100
Confiance
Catégorie: ml-automationAudit