skill-creator

To build an AI agent skill, follow a structured development workflow that defines skill anatomy, uses progressive disclosure, and bundles resources in scripts and references directories to ensure efficient, specialized capabilities.

Progressive disclosure in AI skill development is a design principle that structures documentation and capabilities so the AI agent receives only necessary information at each step, keeping the skill modular and efficient.

You package documentation and scripts for tool integration by organizing them into dedicated directories like scripts and references, ensuring the AI agent can access specialized resources efficiently during execution.

You do not need extensive prior prompt engineering experience to create an AI skill, as this guide provides best practices, core principles, and a step-by-step process for structuring capabilities and documentation effectively.

The best way to iteratively improve an existing AI skill is to apply modular design practices, update documentation within references, and refine workflow automation scripts to enhance specialized performance.

You should avoid a modular structure for AI skill development when the task is too simple to require separate scripts or references, as unnecessary resource bundling and progressive disclosure can overcomplicate basic prompt engineering workflows.