skill-creator

You automate Claude skill evaluation by running controlled eval loops that test prompts, analyze results, and iterate descriptions across multiple cycles to improve triggering accuracy. This Skill coordinates automated test prompts and collects metrics to guide improvements.

The best way to optimize a Claude skill description is to run controlled evals that compare triggering accuracy across iterations. This Skill generates and refines descriptions based on automated test feedback to maximize triggering reliability and user understanding.

Yes, you can create a Claude skill from scratch using automation scripts. This Skill enables rapid creation by initializing new skill projects, running automated eval loops, and packaging the final skills for distribution across projects.

Yes, you need Python and the pyyaml dependency installed to run skill management workflows. This Skill relies on pyyaml to execute scripts that automate the end-to-end skill lifecycle, from drafting and testing to packaging.

Skill experimentation measures performance by running controlled evaluations that collect metrics on triggering accuracy across multiple iterations. This Skill provides tooling and scripts to run experiments, analyze results, and guide improvements based on quantitative feedback.

You should package a Claude skill for distribution after completing automated eval loops and refining its description for optimal triggering accuracy. This Skill provides tooling to package finalized skills for reuse across multiple projects.