skill-creator

To create AI skills, follow a structured process covering planning, initialization, editing, and validation. This ensures your skill is well-structured for AI agents, incorporating best practices like conciseness and progressive disclosure for effective task handling.

The correct structure for AI agent capabilities includes a core SKILL.md file alongside scripts, references, and assets. This anatomy ensures the agent can efficiently parse instructions and leverage supporting resources to execute specialized tasks.

Best practices for developing codex skills emphasize conciseness, progressive disclosure, and appropriate degrees of freedom. Following these principles ensures your skill content remains efficient and well-structured for AI agent consumption.

Updating an existing AI skill requires refining its core SKILL.md, scripts, and references while maintaining structural best practices. The process emphasizes validating changes to ensure the skill remains effective and efficient for agent execution.

No specific dependencies are required to build AI skills. The creation process relies on understanding skill anatomy and applying core principles like progressive disclosure, allowing you to structure content and resources directly.

You should use progressive disclosure in skill creation when building complex agent capabilities. This best practice helps manage structural complexity by revealing information only as needed, keeping the skill concise and efficient for AI processing.