MA

michielhdoteth/awesome-ai-agent-tools

开发工具
31 stars 0 forks 质量 95 趋势 95

The most comprehensive open-source library of 600+ installable AI agent components: skills, MCP servers, workflows, subagents, hooks, plugins, prompts, and tools. Install via npx.

概览

The most comprehensive open-source library of AI agent components. installable components across categories. Every entry is sourced from real projects with provenance and install commands. Works with Claude Code, OpenCode, Codex, Cursor, Gemini CLI, Copilot, and 30+ AI coding assistants. - Development: 35 - Productivity: 18 - Content: 13 - Design: 11 - DevOps: 8 - Marketing: 6 - Data: 5 - Testing: 4 - Security: 2 - Developer Tools: 16 - AI & Machine Learning: 15 - Databases: 13 - Search: 12 - Agent Orchestration: 12 - Communication: 11 - DevOps: 9 - Security: 8 - Official Reference: 6 - Browser Automation: 6 - Cloud Platforms: 6 - Monitoring: 6 - Research & Data: 6 - Marketing: 5 - Design: 4 - Finance: 4 - Blockchain: 3 - Maps: 2 - Data Engineering: 1 - Mobile: 1 - engineering: 58 - multi-agent: 17 - evaluation: 14 - meta: 11 - operations: 6 - design: 6 - content: 3 - Subagent Collection: 16 - Agent Harness: 7 - Official SDK: 4 - Platform Format: 4 - Curated Directory: 3 -...

README


662 installable components across 8 categories. Every entry is sourced from real projects with provenance and install commands. Works with Claude Code, OpenCode, Codex, Cursor, Gemini CLI, Copilot, and 30+ AI coding assistants.

Contents

Skills

  • Development: 35
  • Productivity: 18
  • Content: 13
  • Design: 11
  • DevOps: 8
  • Marketing: 6
  • Data: 5
  • Testing: 4
  • Security: 2

MCPs

  • Developer Tools: 16
  • AI & Machine Learning: 15
  • Databases: 13
  • Search: 12
  • Agent Orchestration: 12
  • Communication: 11
  • DevOps: 9
  • Security: 8
  • Official Reference: 6
  • Browser Automation: 6
  • Cloud Platforms: 6
  • Monitoring: 6
  • Research & Data: 6
  • Marketing: 5
  • Design: 4
  • Finance: 4
  • Blockchain: 3
  • Maps: 2
  • Data Engineering: 1
  • Mobile: 1

Agent Loops

  • engineering: 58
  • multi-agent: 17
  • evaluation: 14
  • meta: 11
  • operations: 6
  • design: 6
  • content: 3

Subagents

  • Subagent Collection: 16
  • Agent Harness: 7
  • Official SDK: 4
  • Platform Format: 4
  • Curated Directory: 3

Hooks

  • Security: 5
  • Automation: 4
  • Session Management: 4
  • Quality: 3
  • Safety: 3
  • Utility: 3
  • Notifications: 2
  • Platform Feature: 1

Plugins

  • Claude Code: 11
  • OpenCode: 10
  • Cross-Tool: 7
  • Cursor: 6
  • VS Code AI: 6
  • Copilot: 5
  • Windsurf: 4
  • Aider: 4
  • JetBrains: 4

Prompts

  • Coding: 11
  • Code Review: 9
  • Architecture: 8
  • Testing: 8
  • General Purpose: 8
  • Image Generation: 8
  • Debugging: 6
  • DevOps: 6
  • Security: 6
  • Documentation: 6
  • Agent Workflows: 6
  • Reasoning: 5
  • Data: 4
  • Design: 4
  • Productivity: 4
  • Content: 3
  • Marketplace: 1

Tools

  • AI Coding CLIs: 15
  • Code Analysis: 9
  • Cloud & DevOps: 7
  • Git Utilities: 6
  • Formatting & Linting: 6
  • Agent Training & Eval: 6
  • Package Managers: 5
  • Docker & Containers: 5
  • Database CLIs: 5
  • API Testing: 5
  • Monitoring: 4
  • Agent Memory: 3
  • Terminal Enhancement: 3
  • AI APIs: 1

Quick Stats

Library Count Description Folder
Skills 102 Reusable AI agent skills following the SKILL.md standard skills/
MCPs 146 Curated Model Context Protocol servers for AI-assisted development mcps/
Agent Loops 115 Repeatable AI-agent workflows with feedback loops loops/
Subagents 34 Specialized agent definitions with model routing subagents/
Hooks 25 Production-ready Claude Code hooks for security, automation, and quality hooks/
Plugins 57 Extensions for Claude Code, OpenCode, Cursor, and 6 more platforms plugins/
Prompts 103 Curated prompt collections and marketplaces for AI coding agents prompts/
Tools 80 Essential CLI tools and utilities that enhance AI coding agent capabilities tools/

All data comes from catalog.json files in each folder. These catalogs are the single source of truth for programmatic discovery. Contributions welcome – see Contributing below.

What Makes This Different

  • Not just links – every entry has install commands, star counts, and verified metadata
  • Machine-readable catalogs – query components programmatically via catalog.json files
  • Agent-contributable – your AI agent can fork, add entries, validate JSON, and submit PRs automatically
  • Cross-platform – works with 30+ AI coding assistants, not locked to one vendor
  • Skills follow the open SKILL.md standard (agentskills.io)

Contributing

We welcome contributions! You can:

  1. Manual PR – fork, add an entry to a catalog.json file, validate, and submit. See contributing.md.
  2. Agent-automated – give your AI agent the CONTRIBUTE.md skill and it handles everything.
  3. Open an issue – suggest a tool we should add.

Star History

View this README on GitHub

安装

This server does not publish a one-line install command.

Open the repository installation guide