skill-creator

You can evaluate Claude skills by running systematic trigger evaluations to test activation accuracy. This process captures results in JSON files and scores them to identify inaccuracies and guide refinement.

Automating Claude skill creation involves drafting a SKILL.md file with frontmatter and Markdown instructions, then running an evaluation and iteration loop. This end-to-end process reduces guesswork and speeds up reliable skill deployment.

To improve Claude skill triggering accuracy, you iterate on the skill description after running trigger evaluations. By scoring results and refining the description, you optimize the skill until its triggering behavior is reliable.

Yes, you need the pyyaml dependency to build and test Claude skills. It is required to structure the skill configuration properly within the SKILL.md frontmatter during the creation process.

Trigger evaluation scoring works by running a skill against test cases and capturing the results in grading files. These scores are used to generate reports and benchmarks to compare iterations and identify improvements.