Awesome Agent Skills

io.github.shadowrootdevPublished by GitHub account shadowrootdevv1.0.2Updated Oct 24, 2026

MCP server with 100+ AI agent skills from Anthropic, Vercel, Trail of Bits, Hugging Face & more.

The publisher's own server: Awesome Tools

Overview

AI-generated overview

A local MCP server that gives an assistant a catalog of 100+ curated AI agent skills, letting it list, inspect, invoke and refresh them.

What you can do
List available skills, optionally filtered by source or tag, and read a skill's details and parameters by ID. Invoke a skill with optional parameters so the assistant can apply its guidance. Manually refresh the skill catalog from the configured repository. Skills are synced and cached locally, with an auto-sync interval.
When to use it
Useful when you want an assistant to draw on established practices from organizations such as Anthropic, Vercel, Trail of Bits, Hugging Face or Sentry, for example document handling, React and Next.js conventions, security review, or model training workflows.
Requirements
Runs locally over stdio, typically via npx or a global npm install. Needs Node.js 20 or newer and npm or yarn. Network access to GitHub is needed to sync the skills repository. Optional environment variables: SKILLS_REPO_URL, SKILLS_CACHE_DIR, SKILLS_SYNC_INTERVAL and LOG_LEVEL. No authentication is declared.
Before you install
The server fetches skill content from a remote Git repository (SKILLS_REPO_URL) and caches it locally in SKILLS_CACHE_DIR; pointing it at an untrusted repository means untrusted skill text reaches the assistant. Invoking a skill applies third-party guidance, so review what it does before acting on it. Desktop clients may need a full restart to pick up configuration.

Installation

In SourceWeft

  1. Open Awesome Agent Skills in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

Awesome Agent Skills MCP Server

[CI] [Security Audit] [CodeQL] [npm version] [npm downloads] [License: MIT] [Node.js Version] [MCP Compatible] [GitHub release] [GitHub stars]

A Model Context Protocol (MCP) server that provides access to 100+ curated AI agent skills from the VoltAgent Awesome Agent Skills collection.

Transform your AI assistants into specialized experts with skills from Anthropic, Vercel, Trail of Bits, Hugging Face, Stripe, Expo, and many more leading organizations.

🚀 Quick Start

bash
npx awesome-agent-skills-mcp

That's it! Add to your MCP client config and start using 100+ AI skills.


Table of Contents


Features

  • 100+ Curated Skills - Access skills from top organizations including Anthropic, Vercel, Trail of Bits, Hugging Face, and more
  • Auto-Sync - Automatically fetches and updates skills from the VoltAgent repository
  • MCP 2024-11-05 Compliant - Full compatibility with the latest Model Context Protocol specification
  • Multi-Client Support - Works with Claude, GitHub Copilot, OpenCode, and any MCP-compatible client
  • Smart Caching - Efficient JSON-based caching for fast startup times
  • Type-Safe - Built with TypeScript and Zod for runtime validation
  • Zero Configuration - Works out of the box with sensible defaults

Quick Start

Using npx (Recommended)

bash
npx awesome-agent-skills-mcp

Global Installation

bash
npm install -g awesome-agent-skills-mcpawesome-agent-skills-mcp

Installation

Prerequisites

  • Node.js >= 20.0.0
  • npm or yarn

From npm

bash
npm install awesome-agent-skills-mcp

From Source

bash
git clone https://github.com/shadowrootdev/awesome-agent-skills-mcp.gitcd awesome-agent-skills-mcpnpm installnpm run build

Configuration

VS Code / GitHub Copilot

Create or update .vscode/mcp.json in your project:

json
{  "servers": {    "awesome-agent-skills": {      "command": "npx",      "args": ["awesome-agent-skills-mcp"]    }  }}

Or with a local installation:

json
{  "servers": {    "awesome-agent-skills": {      "command": "node",      "args": ["/path/to/awesome-agent-skills-mcp/dist/index.js"]    }  }}

Important: After adding the configuration, fully quit VS Code (Cmd+Q / Alt+F4) and reopen it for changes to take effect.

Claude Desktop

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

json
{  "mcpServers": {    "awesome-agent-skills": {      "command": "npx",      "args": ["awesome-agent-skills-mcp"]    }  }}

OpenCode

Add to ~/.config/opencode/opencode.json:

json
{  "mcp": {    "awesome-agent-skills": {      "type": "local",      "command": ["npx", "awesome-agent-skills-mcp"],      "enabled": true    }  }}

Environment Variables

VariableDefaultDescription
SKILLS_REPO_URLhttps://github.com/VoltAgent/awesome-agent-skills.gitSkills repository URL
SKILLS_CACHE_DIR.cacheCache directory path
SKILLS_SYNC_INTERVAL60Auto-sync interval in minutes (0 to disable)
LOG_LEVELinfoLogging level (debug, info, warn, error)

Available Skills

The server provides access to 100+ skills from leading organizations:

Anthropic

Document processing, presentation creation, spreadsheet manipulation, PDF handling, algorithmic art, MCP building, and more.

SkillDescription
docxCreate, edit, and analyze Word documents
pptxPowerPoint presentation creation and editing
xlsxSpreadsheet manipulation with formulas
pdfPDF processing and form filling
mcp-builderGuide for creating MCP servers
webapp-testingPlaywright-based web app testing

Vercel

React and Next.js best practices, deployment, and performance optimization.

SkillDescription
react-best-practicesReact performance optimization guidelines
next-best-practicesNext.js conventions and patterns
web-design-guidelinesUI/UX compliance review
vercel-deployDeploy apps to Vercel

Trail of Bits

Security analysis, smart contract auditing, and code review tools.

SkillDescription
building-secure-contractsSmart contract security toolkit
semgrep-rule-creatorCreate custom Semgrep rules
property-based-testingProperty-based testing guidance
static-analysisStatic analysis tooling

Hugging Face

ML model training, dataset management, and Hub operations.

SkillDescription
hugging-face-cliHF Hub CLI operations
hugging-face-datasetsDataset creation and management
hugging-face-model-trainerModel fine-tuning with TRL
hugging-face-evaluationModel evaluation workflows

Sentry

Code review, commit conventions, and PR automation.

SkillDescription
code-reviewSentry engineering code review practices
commitConventional commit messages
create-prPR creation following Sentry conventions
find-bugsBug and vulnerability detection

And Many More...

  • Stripe - Payment integration best practices
  • Expo - React Native app development
  • n8n - Workflow automation patterns
  • Sanity - CMS best practices
  • Neon - Serverless Postgres
  • Remotion - Programmatic video creation

MCP Tools

The server exposes four MCP tools:

list_skills

List all available skills with optional filtering.

typescript
// List all skills{ }
// Filter by source{ "source": "repository" }
// Filter by tag{ "tag": "security" }

get_skill

Get detailed information about a specific skill.

typescript
{ "skill_id": "react-best-practices" }

invoke_skill

Invoke a skill with optional parameters.

typescript
{  "skill_id": "docx",  "parameters": {    "document_type": "report"  }}

refresh_skills

Manually trigger a skills refresh from the repository.

typescript
{ }

Usage Examples

In GitHub Copilot Chat

@workspace Use the react-best-practices skill to review my React components
@workspace List all available security-related skills
@workspace Get the stripe-best-practices skill and apply it to my checkout code

In Claude

What skills are available for Next.js development?
Use the code-review skill to analyze my pull request

Development

Setup

bash
git clone https://github.com/shadowrootdev/awesome-agent-skills-mcp.gitcd awesome-agent-skills-mcpnpm install

Build

bash
npm run build

Run Tests

bash
# Run all testsnpm test
# Run tests in watch modenpm run test:watch
# Run integration tests onlynpm run test:integration

Lint & Format

bash
npm run lintnpm run format

Project Structure

awesome-agent-skills-mcp/├── src/│   ├── index.ts              # Entry point│   ├── server.ts             # MCP server implementation│   ├── config.ts             # Configuration management│   ├── models/│   │   ├── skill.ts          # Skill type definitions│   │   ├── parameter.ts      # Parameter schemas│   │   ├── registry.ts       # SkillRegistry class│   │   └── repository.ts     # Repository source model│   ├── services/│   │   ├── git-sync.ts       # Git repository sync│   │   ├── skill-parser.ts   # Skill parsing from README│   │   └── skill-executor.ts # Skill invocation│   ├── cache/│   │   └── cache-manager.ts  # JSON-based caching│   └── utils/│       └── logger.ts         # Structured logging├── tests/│   ├── unit/                 # Unit tests│   └── integration/          # Integration tests├── dist/                     # Compiled output└── .cache/                   # Runtime cache (gitignored)

API Reference

Skill Object

typescript
interface Skill {  id: string;           // Unique identifier  name: string;         // Display name  description: string;  // Short description  source: 'repository' | 'local';  sourcePath: string;   // GitHub URL or local path  content: string;      // Full skill content (markdown)  parameters: ParameterSchema[];  metadata: {    author?: string;    version?: string;    tags?: string[];    requirements?: string[];    sourceOrg?: string;   // GitHub organization    sourceRepo?: string;  // GitHub repository  };  lastUpdated: Date;}

Parameter Schema

typescript
interface ParameterSchema {  name: string;  type: 'string' | 'number' | 'boolean' | 'object' | 'array';  description: string;  required: boolean;  default?: unknown;  enum?: unknown[];}

Troubleshooting

Skills Not Loading

  1. Check cache: Delete .cache directory and restart
  2. Verify network: Ensure access to GitHub
  3. Check logs: Set LOG_LEVEL=debug for verbose output

GitHub Copilot Not Seeing Skills

  1. Full restart required: Quit VS Code completely (Cmd+Q) and reopen
  2. Check config path: Ensure .vscode/mcp.json is in the workspace root
  3. Verify server: Run npx awesome-agent-skills-mcp manually to test

Connection Errors

bash
# Test the server manuallyecho '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0.0"}}}' | npx awesome-agent-skills-mcp

Credits

This project is built on top of the incredible work by the open-source community:

Data Source

VoltAgent Awesome Agent Skills - A curated collection of AI agent skills maintained by VoltAgent. This MCP server fetches and serves skills from this repository, making them accessible to MCP-compatible AI assistants.

Skill Contributors

Skills in this collection are contributed by leading organizations including:

  • Anthropic - Document processing, art generation, MCP building
  • Vercel - React, Next.js, deployment
  • Trail of Bits - Security analysis, smart contracts
  • Hugging Face - ML workflows, model training
  • Sentry - Code review, commit conventions
  • Expo - React Native development
  • Stripe - Payment integrations
  • And many more contributors!

Technologies


Contributing

Contributions are welcome! Please read our contributing guidelines before submitting PRs.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

See our issue templates for reporting bugs, requesting features, or asking questions.


Documentation & Demo

GitHub Pages

You can enable GitHub Pages to host interactive documentation or demos:

  1. Create your documentation (recommended: use /docs folder):

    • Create a docs/ directory in your repository root
    • Add an index.html file or use a static site generator like VitePress or Docusaurus
    • This keeps documentation separate from source code
  2. Enable GitHub Pages:

    • Go to your repository Settings → Pages
    • Select Source: Deploy from a branch
    • Choose Branch: main and folder /docs (recommended) or / if deploying entire repo
    • Save and wait for deployment

This is useful for:

  • Interactive API documentation
  • Live demos of MCP server capabilities
  • Tutorial walkthroughs
  • Skill catalog browser

Note: Using the /docs folder is recommended as it keeps documentation organized and separate from source code. Only use / (root) if you want to deploy the entire repository as a website.


License

This project is licensed under the MIT License - see the LICENSE file for details.


Related Projects


Made with ❤️ for the AI agent community
⭐ Star the Awesome Agent Skills repository

Source: README.md at commit c758474

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.2LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

Other Awesome integrations