
Official Anthropic Agent Skills repo with document and example packs

Build LLM-as-judge evals with pairwise scoring, rubric calibration and bias checks
Clone or download it from github.com, then drop the folder into ~/.claude/skills/ (Claude Code) or your agent's skills directory.
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A deep reference for judging LLM output with LLMs: direct scoring versus pairwise comparison, calibrating rubrics, mitigating position and verbosity bias, and attaching confidence to automated quality scores.
Part of muratcankoylan's Agent Skills for Context Engineering collection.
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