skill-creator

Structure an AI skill by emphasizing conciseness, modularity, and progressive disclosure patterns. This approach manages the context window efficiently by using bundled resources like scripts, references, and assets for specialized tasks.

Progressive disclosure in AI agent development is a strategy to manage the context window efficiently. It involves structuring skills to load only necessary information when needed, keeping the core skill concise while utilizing bundled references for deeper knowledge.

Package AI skills by organizing deployment scripts in the scripts directory and including relevant documentation in references. This modular structure ensures the skill remains concise while providing specialized knowledge and functionality through bundled assets.

Create a modular AI skill by following a step-by-step process: plan the skill anatomy, initialize the structure, edit the core SKILL.md file, and package the final components. This ensures conciseness and efficient context management throughout development.

Building AI skills requires understanding prompt engineering and AI development principles, but does not demand heavy coding. The process focuses on structuring documentation, managing resources, and applying progressive disclosure patterns rather than writing complex code.

Use references instead of inline documentation during skill creation when the content is specialized or lengthy. This keeps the core SKILL.md concise, manages the context window efficiently, and allows the AI agent to access detailed knowledge only when needed.