skill-creator

To structure an AI skill, organize components like SKILL.md, scripts, and references into a modular package. This ensures your agent workflow receives concise, specialized capabilities with progressive disclosure of information.

Core design principles for AI skills include conciseness, setting appropriate degrees of freedom, and progressive disclosure. Following these ensures your skill remains modular, efficient, and specialized for its intended task.

The AI skill development process involves understanding requirements, structuring the skill anatomy, packaging necessary scripts and references, and iterating. This step-by-step approach ensures efficient creation of specialized AI capabilities.

No specific dependencies are required to create AI skills. You build the skill using standard components like scripts and reference documentation, packaging them into a modular structure defined by a SKILL.md file.

Include reference documentation in your AI skill by organizing it within a dedicated references component. This supports the core skill anatomy alongside scripts and assets, ensuring documentation is available during agent workflows.

Use progressive disclosure in AI skill creation to maintain conciseness and efficiency. This design principle reveals complex information only when needed, keeping the skill modular and preventing workflow overload.