skill-creator

AI skills require a specific structure: a SKILL.md file paired with bundled scripts, references, and assets directories. Organizing resources this way enables efficient context management and specialized workflow automation for AI agents.

Progressive disclosure in skill development manages context by providing information only as needed. It keeps the SKILL.md concise while relying on bundled references for deeper documentation, ensuring efficient context management.

Creating a custom AI skill for an internal API involves bundling the API documentation in the references directory and outlining interaction workflows in SKILL.md. This structure gives the agent specialized access to your endpoints.

To extend AI agent capabilities, SKILL.md should include concise instructions, core design principles, and workflow definitions. It acts as the primary guide, pointing to bundled scripts and references for executing complex tasks.

You can use scripts and references to customize a custom AI skill. Bundling executable scripts and documentation files allows the AI agent to perform specialized automated tasks and access detailed knowledge bases.

You need to set degrees of freedom when designing AI agent skills to control how much autonomy the agent has within a workflow. This design principle prevents unexpected actions by defining strict operational boundaries.