skill-creator

The best way to structure an AI skill is to use a modular framework with a central SKILL.md file for documentation, bundled scripts for execution, and references for domain data. This approach ensures efficiency and clear progressive disclosure.

To create an AI agent workflow integrating internal APIs, document the API endpoints in the references directory and write a Python script in the scripts directory to handle the tool integration and automate the interactions.

No specific dependencies are required to start developing AI skills. The framework provides a structured lifecycle guide from initialization to packaging, relying on standard bundled resources like scripts, references, and assets.

The skill development lifecycle guides workflow automation by directing users through planning, initializing, editing, and packaging phases. It emphasizes modularity and efficiency to seamlessly extend AI agent capabilities with specialized workflows.

You should use bundled resources like scripts and references when your skill requires tool integration or domain expertise. Scripts handle execution logic while references store necessary documentation, keeping the core SKILL.md concise.