github-to-skills

To convert a GitHub repository into an AI skill, use this tool to fetch repository metadata and commit hashes, generate a standardized skill directory structure, and create wrapper scripts. It automates the packaging of code-based tools into AI-compatible formats.

Packaging code-based tools into AI-compatible formats involves scaffolding a skill directory, injecting extended metadata for automated management, and generating an interface wrapper script for tool invocation. This process streamlines repository conversion.

Yes, you need git, requests, and json libraries installed to automate GitHub repository conversion. These dependencies are required for handling API interactions, fetching repository metadata, and parsing data during the skill scaffolding process.

Yes, you can use this tool to fetch commit hashes and metadata for AI agent skills. It performs repository analysis to retrieve the necessary GitHub data and injects extended metadata to support future automated management of the generated skills.

The best way to scaffold a skill directory structure from a GitHub URL is to run the conversion command with your target repository URL. The tool automatically fetches metadata, structures the directory, and creates the necessary wrapper scripts.

You should not use automated wrapper script generation for repository conversion if your GitHub repository lacks clear code-based tool interfaces or requires complex custom configurations that exceed standard skill scaffolding and metadata injection capabilities.