skill-creator

To structure an AI skill effectively, organize your project into a SKILL.md file alongside dedicated directories for scripts, references, and assets. This modular structure ensures your skill is maintainable, efficient, and easily discoverable by AI systems.

Best practices for AI skill development include following a structured workflow: understanding requirements, applying design principles like conciseness and progressive disclosure, setting appropriate degrees of freedom, and continuously iterating on the core SKILL.md structure.

Progressive disclosure in AI skill design is a principle that structures content to reveal information contextually, ensuring conciseness and setting appropriate degrees of freedom. It guides developers in building modular capabilities without overwhelming the AI system.

You package AI skills by creating a SKILL.md file and organizing supporting components into specific directories: place executable code into a scripts folder and contextual schemas or guides into a references folder. This ensures the skill is self-contained, modular, and efficient.

You do not strictly need to write scripts to create an AI skill, as the core structure relies on the SKILL.md file and documentation. However, including scripts for tasks like data validation enhances the skill's modular capabilities and processing logic.