anthropic-skill-creator

You can evaluate Claude Code skills by running structured evaluation loops that generate test prompts, execute skill versus baseline runs, grade outcomes against explicit expectations, and aggregate benchmark statistics like pass rate and variance.

Optimize skill triggering by generating test queries and iteratively refining the SKILL.md description, which improves trigger correctness so Claude activates the skill in relevant contexts and avoids irrelevant calls.

Iterative improvement of skill instructions involves drafting new skill instructions, running evaluation prompts across test suites, and refining both behavior and triggering accuracy through repeated test-and-feedback cycles.

Yes, you can automate grading by applying grader automation within evaluation loops, which grades outcomes with explicit evidence and aggregates pass rate statistics to measure performance comparisons between skill versions.

You define what you want the skill to do, when it should trigger, and what success looks like, then approve the proposed test set and evaluation plan before the skill draft is generated and evaluated.

The best way to prove a skill change improves performance is to run benchmarking with comparison, executing the skill versus a baseline with and without the skill, grading outcomes with explicit expectations, and summarizing pass rate and variance.