skill-creator

You can automate Claude skill creation by scaffolding SKILL.md frontmatter, configuring eval prompts, and running a trigger-evaluation loop to benchmark performance and iterate on feedback. This provides a repeatable workflow from draft to optimized skill.

The best way to benchmark skill performance is using built-in evaluation scripts that test trigger accuracy, compare improvements, and automatically generate optimized descriptions. This structured iteration loop refines skills from initial draft to target performance.

Yes, you need the yaml dependency to scaffold new SKILL.md entries with validated frontmatter and rich instruction bodies. This ensures your skill configuration is correctly formatted and structured for Claude's triggering system.

Yes, you can compare skill improvements across iterations using built-in cli scripts. These scripts run trigger evaluations, generate performance reports, and provide feedback to help you iterate until reaching your target benchmark accuracy.

Your Claude skill may not trigger correctly due to poorly optimized descriptions. By running trigger evaluations and iterating on the feedback, you can automatically generate improved descriptions that increase triggering accuracy and benchmark performance.