Official Anthropic Agent Skills repo with document and example packs
LLM Evaluation
SkillSet up evals for LLM apps with automated metrics, human feedback, and benchmarks instead of vibes alone.
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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About LLM Evaluation
From the wshobson/agents plugin collection.
Shipping an AI feature is easy; knowing whether it got better or worse is the hard part. This skill helps an agent design an evaluation setup for an LLM application, mixing automated metrics, human review, and benchmark runs, so prompt or model changes come with evidence.
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