Individual skill

eval-driven-dev

Improve AI application with evaluation-driven development. Define eval criteria, instrument the application, build golden datasets, observe and evaluate application runs, analyze results, and produce a concrete action plan for improvements. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model.

harness/claude-code/skills/eval-driven-dev/SKILL.md

Source commit 1672ec1d9bb3181ab61cb96002688c6a3624fc48

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Last checked

Nov 7, 2026

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