skill-creator

To build a Claude skill from scratch, draft a structured SKILL.md with triggering guidance, generate test prompts, grade outputs, and iterate based on feedback. This skill creation process ensures reliable triggering and usable instructions.

Skill benchmarking evaluates trigger behavior by running test prompts and grading outputs. You need benchmarking when refining an existing skill or optimizing frontmatter descriptions to ensure the skill triggers reliably on the right requests.

Optimizing a skill description for better discovery involves tuning the frontmatter metadata so the skill triggers on the right requests. You generate test prompts, evaluate trigger behavior, and iterate on the description for reliable discovery.

Yes, you can package Claude skills with helper scripts, references, and assets for distribution. The skill requires the pyyaml dependency to support structured skill metadata and organize components into a finished, distributable package.

The best way to improve trigger behavior is through iterative evaluation: create test prompts, run comparisons, grade outputs, and revise the skill based on real feedback. Benchmarking trigger behavior ensures reliable activation on target requests.

A Claude skill fails to trigger when the frontmatter description is misaligned with user requests. You fix this by tuning the description, generating test sets to benchmark trigger behavior, and iterating through grading and review loops.