skill-creator

The required file structure for AI skills includes a SKILL.md metadata file, alongside directories for scripts, references, and assets. This modular anatomy ensures skills are well-organized, reusable, and properly packaged for deployment.

Design an AI skill development workflow by following a step-by-step process: understand requirements, apply core design principles like progressive disclosure, build the skill structure, and package the components for final deployment and iteration.

Best practices for AI skill documentation include applying progressive disclosure and setting appropriate degrees of freedom. This ensures the SKILL.md metadata remains concise while effectively guiding the AI agent's behavior.

You need basic developer tools familiarity to structure reusable AI skill components like scripts and references. The skill creation process provides an intermediate-level guide for packaging these components effectively.

Use progressive disclosure in AI skill design when creating complex skills that interact with APIs. It keeps the SKILL.md concise by revealing detailed references and assets only when the AI agent requires them during execution.