skill-creator-pro

To create and iterate on Claude Skills, you draft a SKILL.md based on stakeholder goals, run trigger evaluations, analyze holdout testing results, and iteratively refine the description until triggering accuracy is reliable.

The workflow for drafting a SKILL.md involves providing your initial skill goal, generating the content structure, orchestrating trigger evaluations, and refining the description based on evaluation results to achieve reliable skill deployment.

Yes, you can automate the evaluation loop for Claude Skills by using structured prompts to orchestrate trigger evaluations, holdout testing, and regression analysis, tracking iteration history to surface actionable improvements.

Yes, you need to install the Anthropic and PyYAML dependencies to run trigger evaluations and coordinate bundled resources like scripts and references for reliable skill deployment.

The best way to analyze trigger evaluation results is to integrate with evaluation viewers to visualize outcomes, extract insights, and maintain a history of iterations to inform iterative description improvements.

Inaccurate triggering during holdout testing often indicates the SKILL.md description needs iterative refinement; running trigger evaluations and analyzing the results surfaces actionable improvements to fix the triggering logic.