skill-creator

To structure and package AI skills, organize resources into designated directories like `scripts/`, `references/`, and `assets/`, following modular design principles to ensure extensions are discoverable and maintainable.

Best practices for AI skill design include maintaining conciseness, applying progressive disclosure, and managing appropriate degrees of freedom throughout the planning, initialization, editing, and iteration phases of the development lifecycle.

You can initialize a new AI skill by running the provided initialization script, which sets up the foundational project structure and directories needed to begin the skill creation process.

Use modular AI extensions when you need to interact with specific internal APIs, as this approach provides a structured framework for organizing code, managing resources efficiently, and maintaining clear naming conventions.

The `references/` and `assets/` directories in skill packaging serve to separate static contextual data and supplementary files from executable logic, enabling efficient resource management and progressive disclosure.