skill-creator

You evaluate Claude skills by running automated trigger evaluations and collecting metrics to compare configurations with_skill versus without_skill. This benchmarking process measures triggering accuracy and reliability to ensure systematic improvement of your prompts.

The best way to iteratively refine skill descriptions is to draft a skill, run an evaluation loop, review the metrics, and apply feedback to edit SKILL.md. Repeat this cycle until the description triggers reliably for your target prompts.

Yes, you can initialize new skills from scratch based on user needs. The workflow provides a structured approach to rapid prototyping, allowing you to draft skills and systematically improve their trigger phrasing for real conversations.

Yes, YAML is a required dependency for this skill automation workflow. It is necessary to parse configuration files and run the bundled scripts that handle trigger evaluation loops, report generation, and skill packaging.

A skill fails to trigger when its description lacks the right phrasing for target prompts. You can fix this by running evaluation loops to test trigger configurations, benchmarking the results, and applying feedback to update the SKILL.md description.