skill-creator

Progressive disclosure in AI skill creation is a core principle that structures skill data so agents receive only necessary context initially, preventing information overload. It organizes bundled resources like scripts and references for optimal performance.

To structure an AI skill for internal API integration, use a defined anatomy consisting of a SKILL.md file, alongside scripts, references, and assets directories. Bundle the necessary API documentation within the references directory.

The step-by-step process for developing AI skills involves initialization, editing, packaging, and iterating on the design. It starts with understanding the skill anatomy and ends with organizing bundled resources for optimal agent performance.

You need a specific skill structure for AI development when extending an agent's capabilities with specialized knowledge, workflows, or tool integrations. This structure ensures conciseness and sets appropriate degrees of freedom.

Setting degrees of freedom matters when writing a developer guide for skills because it is a core principle that dictates how much autonomy the AI agent has. It directly impacts the conciseness and effectiveness of the skill structure.

The limitations of using bundled resources like scripts, references, and assets in AI skills involve the risk of information overload if not properly managed. This is why following progressive disclosure principles is necessary to maintain optimal agent performance.