Skyll • Why use Skyll? • Features • Quick Start • MCP Server • Use Cases • Documentation • Contributing

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Skyll

Skyll is a REST API and MCP server that lets any AI agent search for and learn agent skills at runtime. It aggregates skills from multiple sources, fetches the full SKILL.md content from GitHub, and returns structured JSON ready for context injection.

Why use Skyll?

Agent skills (SKILL.md files) are a powerful way to extend what AI agents can do, but today they only work with a handful of tools like Claude Code and Cursor. Skills require manual installation before a session, which means developers need to know in advance which skills they will need.

Skyll democratizes access to skills. Any agent, framework, or tool can discover and learn skills on demand. No pre-installation. No human intervention. Agents explore, choose based on context, and use skills autonomously.

{
  "query": "react performance",
  "count": 1,
  "skills": [
    {
      "id": "react-best-practices",
      "title": "React Best Practices",
      "source": "vercel/ai-skills",
      "relevance_score": 85.5,
      "install_count": 1250,
      "content": "# React Best Practices\n\n## Performance\n..."
    }
  ]
}

Why options matter: The ranked list surfaces popular and relevant skills, letting agents choose based on user requests, task context, or what's trending. It's about giving agents freedom to discover.

Features

• 🔍 Multi-Source Search: Query skills.sh, community registry, and more
• 📄 Full Content: Returns complete SKILL.md with parsed metadata
• 📎 References: Optionally fetch additional docs from references/ directories
• 📊 Relevance Ranking: Scored 0-100 based on content, query match, and popularity
• 🔄 Deduplication: Automatic deduplication across sources
• ⚡ Cached: Aggressive caching to respect GitHub rate limits
• 🔌 Dual Interface: REST API + MCP Server
• 🔧 Extensible: Easy to add new skill sources and ranking strategies

Quick Start

Install with pip

The recommended way to use Skyll in your agents:

pip install skyll

from skyll import Skyll

async with Skyll() as client:
    skills = await client.search("react performance", limit=5)
    
    for skill in skills:
        print(f"{skill.title}: {skill.description}")
        print(skill.content)  # Full SKILL.md content

Uses the hosted API at api.skyll.app by default - no server setup required.

REST API

For other languages or direct integration, call the API directly:

# Search for skills
curl "https://api.skyll.app/search?q=react+performance&limit=5"

# Get a specific skill by name (always fetches latest version)
curl "https://api.skyll.app/skill/react-best-practices"

# Get by full path
curl "https://api.skyll.app/skill/vercel-labs/agent-skills/vercel-react-best-practices"

The /skill/{name} endpoint is similar to npx skills add - it returns the latest version of a skill, ensuring your agents always have up-to-date instructions.

Interactive docs: api.skyll.app/docs

Self-Hosted

Run your own Skyll server for full control:

# Clone and install
git clone https://github.com/assafelovic/skyll.git
cd skyll
pip install -e ".[server]"

# Optional: Add GitHub token for higher rate limits
echo "GITHUB_TOKEN=ghp_your_token" > .env

# Start the server
uvicorn src.main:app --port 8000

# Search for skills
curl "http://localhost:8000/search?q=react+performance&limit=5"

Point the Python client to your server:

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