Note: Skills in the API require the Code Execution Tool beta, which provides the secure environment skills need to run.
For implementation details, see:
Recommended approach today
Start by hosting your skill on GitHub with a public repo, clear README (for human visitors — this is separate from your skill folder, which should not contain a README.md), and example usage with screenshots. Then add a section to your MCP documentation that links to the skill, explains why using both together is valuable, and provides a quick-start guide.
1. Host on GitHub
- - Public repo for open-source skills
- - Clear README with installation instructions
- - Example usage and screenshots
2. Document in Your MCP Repo
- - Link to skills from MCP documentation
- - Explain the value of using both together
- - Provide quick-start guide
3. Create an Installation Guide
## Installing the [Your Service] skill
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1. Download the skill:
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- Clone repo:
git clone https://github.com/yourcompany/skills - - Or download ZIP from Releases
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- Clone repo:
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2. Install in Claude:
- - Open Claude.ai > Settings > skills
- - Click "Upload skill"
- - Select the skill folder (zipped)
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3. Enable the skill:
- - Toggle on the [Your Service] skill
- - Ensure your MCP server is connected
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4. Test:
- - Ask Claude: "Set up a new project in [Your Service]"
Positioning your skill
How you describe your skill determines whether users understand its value and actually try it. When writing about your skill—in your README, documentation, or marketing - keep these principles in mind.
Focus on outcomes, not features:
✓ Good:
"The ProjectHub skill enables teams to set up complete project workspaces in seconds – including pages, databases, and templates – instead of spending 30 minutes on manual setup."
✗ Bad:
"The ProjectHub skill is a folder containing YAML frontmatter and Markdown instructions that calls our MCP server tools."
Highlight the MCP + skills story:
"Our MCP server gives Claude access to your Linear projects. Our skills teach Claude your team's sprint planning workflow. Together, they enable AI-powered project management."