Skill Creator

To write AI agent skills that minimize token consumption, author concise, imperative instructions and leverage progressive disclosure. This approach defers examples to external files, ensuring optimal context window utilization across various AI agents.

Progressive disclosure in prompt engineering is a content organization strategy that keeps the main SKILL.md lean by loading detailed references only when needed. This mechanism maximizes information density and optimizes context window utilization.

Structure high-density AI agent skills by organizing content into a root SKILL.md, a scripts/ directory for automation, references/ for deferred examples, and assets/ for supplementary files. This enforces strict size limits and validation checklists.

Yes, you can use this framework to create skills for any AI agent platform. It establishes universal guidelines for instruction design and token economy, ensuring optimal performance and efficient context window utilization across various AI agents.

Strict size limits for SKILL.md files restrict the amount of inline detail and examples you can include. When should you not use this approach? Avoid it if your skill requires dense, immediate context loading rather than deferring information to references.

Skill Creator works with token economy validation checklists by enforcing strict size limits and directory structure standards. It defines writing rules that ensure your SKILL.md adheres to efficient context window utilization guidelines.