skill-creator

To create an AI skill, structure your project with a SKILL.md file and organize resources into scripts, references, and assets directories. Following this anatomy ensures your AI agent extension is modular, context-efficient, and easy for the agent to parse.

The best way to structure AI agent extensions is by applying design principles like conciseness, progressive disclosure, and setting appropriate degrees of freedom. This ensures the extension remains modular and efficient without overwhelming the AI's context window.

Organize documentation and scripts by placing API docs and context in the references directory, while putting executable helper scripts in the scripts directory. Use assets for static files to maintain a clean, modular resource management structure.

You need progressive disclosure in skill design when you must balance comprehensive documentation with context efficiency. It allows the AI to access detailed references only when required, keeping the core SKILL.md concise and the agent's context window optimized.

Building an AI skill does not strictly require helper scripts, but adding them to the scripts directory allows the agent to execute complex logic. Use scripts when the skill needs to perform actions beyond text generation, interacting with internal APIs or external systems.

The AI skill development lifecycle involves understanding requirements, structuring the SKILL.md content, organizing resources, and packaging the final output. This step-by-step process ensures the skill is properly configured for effective agent extension before deployment.