skill-creator

To create an AI skill, follow a structured process covering skill anatomy, core principles, and progressive disclosure. This involves defining the skill's structure, setting degrees of freedom, and iterating on the design to effectively extend AI agent capabilities.

The correct structure for developing AI skills includes a SKILL.md file for core logic, alongside scripts/, references/, and assets/ directories. This anatomy organizes tool integrations and documentation to ensure the AI agent can access specialized knowledge efficiently.

Core principles of effective prompt engineering for AI agents include conciseness, progressive disclosure, and setting degrees of freedom. These practices ensure the AI skill provides specialized knowledge and workflow design without overwhelming the agent's context.

Yes, you can use skill development guides to update existing tool integrations. The process provides best practices for refining skill anatomy and documentation, ensuring your updated skills effectively enhance AI agent capabilities and workflow design.

Apply progressive disclosure in skill development when structuring complex documentation or tool integrations. This principle prevents overwhelming the AI agent by revealing information only as needed, maintaining conciseness while extending capabilities for specific tasks.