Skyll Skills
A tool for autonomous agents like OpenClaw to discover and learn skills autonomously
What is Skyll Skills?
Skyll Skills is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to tool for autonomous agents like openclaw to discover and learn skills autonomously
A tool for autonomous agents like OpenClaw to discover and learn skills autonomously
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A tool for autonomous agents like OpenClaw to discover and l
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx skyllConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Skyll Skills
Skyll is a skill discovery and management server for autonomous AI agents, providing a searchable registry of reusable SKILL.md documents that agents can retrieve at runtime to expand their capabilities on demand. Rather than hard-coding every behaviour into an agent, you connect it to Skyll and let it search for, fetch, and apply community-maintained skills — from React performance patterns to testing strategies. The MCP server exposes tools for natural-language skill search, skill retrieval by name, and cache monitoring, making it a lightweight capability backbone for agent frameworks like OpenClaw.
Prerequisites
- Python 3.9+ installed on your system
- pip or uv package manager
- An MCP-compatible client such as Claude Desktop or a custom agent framework
- Optional: a GitHub token (GITHUB_TOKEN) for higher API rate limits when fetching skills
Install Skyll via pip
Install the Skyll package from PyPI. Alternatively use uvx for zero-install execution.
pip install skyll
# Or zero-install with uvx:
uvx skyll --helpStart the MCP server
Launch the Skyll MCP server using the built-in module runner. You can optionally switch to HTTP transport on a custom port.
python -m src.mcp_server
# Or with HTTP transport:
python -m src.mcp_server --transport http --port 8080Set optional environment variables
Configure a GitHub token to avoid rate-limiting when the server fetches skills from GitHub. You can also tune cache TTL.
export GITHUB_TOKEN=your_github_personal_access_token
export CACHE_TTL=86400
export ENABLE_REGISTRY=trueAdd the server to your MCP client configuration
Register Skyll in your claude_desktop_config.json or equivalent MCP configuration file.
{
"mcpServers": {
"skyll": {
"command": "python",
"args": ["-m", "src.mcp_server"],
"env": {
"GITHUB_TOKEN": "your_github_token_here",
"CACHE_TTL": "86400"
}
}
}
}Verify available tools
Restart your MCP client and confirm the four Skyll tools are listed: search_skills, add_skill, get_skill, and get_cache_stats.
Skyll Skills Examples
Client configuration
MCP configuration block to connect Claude Desktop to a locally running Skyll MCP server.
{
"mcpServers": {
"skyll": {
"command": "python",
"args": ["-m", "src.mcp_server"],
"env": {
"GITHUB_TOKEN": "ghp_your_token_here",
"CACHE_TTL": "86400",
"ENABLE_REGISTRY": "true"
}
}
}
}Prompts to try
Example prompts that leverage Skyll's skill discovery tools inside an AI agent session.
- "Search for skills related to React performance optimization."
- "Fetch the skill named 'react-best-practices' and apply its guidelines to my component."
- "What testing skills are available in the Skyll registry?"
- "Get cache stats to see how many skills are currently cached locally."
- "Find a skill for setting up offline-first architecture with Room and show me the pattern."Troubleshooting Skyll Skills
search_skills returns no results or very few skills
The community registry may require ENABLE_REGISTRY=true in your environment. Also set GITHUB_TOKEN to avoid GitHub API rate limits which can cause empty results on anonymous requests.
MCP server fails to start with import errors
Ensure you installed the package with the server extras: pip install 'skyll[server]'. The base pip install skyll may not include all server dependencies like uvicorn.
Skills fetched from registry are stale or outdated
Lower the CACHE_TTL environment variable (e.g., set to 3600 for 1-hour caching) or call get_cache_stats to inspect cache state, then restart the server to clear it.
Frequently Asked Questions about Skyll Skills
What is Skyll Skills?
Skyll Skills is a Model Context Protocol (MCP) server that tool for autonomous agents like openclaw to discover and learn skills autonomously It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Skyll Skills?
Follow the installation instructions on the Skyll Skills GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Skyll Skills?
Skyll Skills works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Skyll Skills free to use?
Yes, Skyll Skills is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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Set Up Skyll Skills in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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