skill-creator

To create and evaluate Claude Skills, you draft a SKILL.md file, run trigger evaluations to collect metrics, and iteratively refine the skill description to converge on triggering accuracy across diverse prompts.

The best way to benchmark Claude Skills is to orchestrate trigger evaluations that collect performance metrics and aggregate results, enabling quick comparisons between different skill versions.

Iterative improvement for Claude Skill descriptions works by automating description optimization, reviewing evaluation outcomes, and versioning the skill to converge on reliable triggering accuracy.

No specific dependencies are required to author and validate SKILL.md files; the workflow relies on internal scripts to ensure frontmatter discipline and validate the skill name and description for reliable discovery.

A Claude Skill may fail to trigger correctly if the SKILL.md lacks frontmatter discipline, meaning the name and description are invalid or not optimized through iterative evaluation and benchmarking.

Yes, you can use this workflow to optimize prompt engineering for existing skills by running trigger evaluations, analyzing metrics, and applying the iterative improvement loop to refine descriptions.