skill-creator

Structure an AI skill using a modular anatomy with a SKILL.md file for documentation, alongside scripts, references, and assets directories. This organization separates logic from supporting documentation, ensuring efficiency and clear progressive disclosure for AI agents.

Progressive disclosure in AI skill development is a core principle that guides how information is revealed to the AI agent. It ensures conciseness by setting degrees of freedom, preventing the agent from being overwhelmed with unnecessary context during workflow execution.

The best way to create a specialized workflow is following a step-by-step development process that emphasizes modularity and clear documentation. Iterate on the skill structure, define core principles, and integrate domain expertise packages to refine the agent's capabilities.

Document an AI skill by writing a clear SKILL.md file that outlines the interaction logic with internal APIs. Organize supporting scripts and references to provide the AI agent with the necessary context and tool integrations for efficient API communication.

Yes, you can build domain expertise packages for AI agents. The skill creation process supports developing specialized workflows and tool integrations, allowing you to encapsulate domain-specific knowledge into modular, well-documented skill units.

AI skill workflows lack efficiency when they fail to follow core principles like conciseness and progressive disclosure. Improving the skill anatomy by organizing SKILL.md files and supporting scripts ensures clear documentation and reduces processing overhead.