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A how-to guide for evaluating skill output quality using structured evals. Covers the full eval workflow: designing test cases, running with-skill vs. baseline comparisons, writing assertions, LLM-based grading, aggregating benchmarks, analyzing patterns, human review, and LLM-driven iterative improvement. Derived from the workflow implemented by the `skill-creator` Skill, but written as a standalone guide that readers can follow without using that tool. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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