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: fuse-filesystem

Annuaire en anglais

A Unified Virtual Filesystem For AI Agents

3.3K
Stars
73/100
Confiance
Catégorie: agent-frameworksAudit

kubectl port-forward manager and reverse tunnel (ngrok-like) for exposing local services publicly, with TLS termination, HTTP traffic inspection, UDP forwarding, multi-hop proxy routing through k8s clusters, stateful config via filesystem or git - GUI and TUI available

1.5K
Stars
80/100
Confiance
Catégorie: devopsAudit

A coding agent CLI hook that acts as a safety net, catching destructive git and filesystem commands before they execute. Supports Codex, Claude Code, OpenCode, Gemini CLI, Copilot CLI, Kimi Code and Pi.

1.4K
Stars
78/100
Confiance
Catégorie: coding-agentsAudit

This package implements Agent Skills (https://agentskills.io) support with progressive disclosure for Pydantic AI. Supports filesystem and programmatic skills.

359
Stars
71/100
Confiance
Catégorie: agent-skillsAudit

A flexible developer tool that runs processes and responds to filesystem changes

3.0K
Stars
72/100
Confiance
Catégorie: coding-agentsAudit

Markdown filesystem for agents and teams.

686
Stars
67/100
Confiance
Catégorie: document-processingAudit

Install, manage, and share skills across every major coding agent — Claude Code, Cursor, Copilot, and more.

253
Stars
69/100
Confiance
Catégorie: coding-agentsAudit

A filesystem designed for agents, with SOTA retrieval, automatic memory profiles, sync engine. Drop any file type (pdf, images, videos), and grep through them.

451
Stars
69/100
Confiance
Catégorie: agent-frameworksAudit

Mandatory iPolloWork code-change gate for modern, minimal, performant, reuse-first implementation and clean repository ownership. Use whenever AI creates, edits, deletes, or refactors application code, server code, packages, scripts, tests, dependencies, schemas, routes, UI, or generated-file workflows. Reuse existing code before creating files, keep one source of truth, prevent parallel implementations and junk directories, justify every new file or dependency, and audit the current change before completion.

4.5K
Stars
67/100
Confiance
Catégorie: securityAudit

frame proof, HTML frames, screenshots, recording, PR proof, e2e evidence, validate visually. Daytona artifacts workflow for validated screenshots and optional videos.

4.6K
Stars
67/100
Confiance
Catégorie: design-creativeAudit