skill-creator

To create a new AI skill, follow a comprehensive process from planning to iteration. You need to structure the skill anatomy, apply design principles like conciseness and progressive disclosure, and organize components such as SKILL.md, scripts, and references.

Progressive disclosure in AI skill development is a core design principle that structures information so the agent receives only what is needed immediately. It keeps skills concise by hiding deeper details until specifically required, optimizing agent capabilities and performance.

The SKILL.md file structure serves as the core of AI skills, defining the specialized knowledge and workflows for agent capabilities. It works alongside scripts, references, and assets to provide comprehensive guidance and best practices for custom AI development.

The best way to structure custom API documentation in an AI skill is to organize it within dedicated references and assets components. This ensures the agent can access company-specific information efficiently while maintaining conciseness in the main SKILL.md file.

Building custom AI skills requires an intermediate level of implementation depth, meaning some developer guide familiarity is necessary. You should understand skill anatomy, design principles, and how to organize scripts and references to effectively extend agent capabilities.

You should avoid a comprehensive skill creation process if your task requires minimal specialized knowledge or lacks the need for structured references and scripts. Overcomplicating simple workflows violates the core design principle of conciseness and reduces agent efficiency.