llm-evaluation

Quick Review

Excellent comprehensive skill for LLM evaluation covering automated metrics, human evaluation, LLM-as-judge, A/B testing, and regression detection. The description clearly indicates when to use this skill, and the content provides substantial implementation code for diverse evaluation strategies including BLEU, ROUGE, BERTScore, custom metrics, pairwise comparisons, and statistical testing. Structure is well-organized with clear sections and practical examples. The skill meaningfully reduces the token cost and complexity that a CLI agent would face when implementing evaluation frameworks from scratch, particularly for statistical analysis, LLM-as-judge patterns, and integration with platforms like LangSmith. Minor improvement could be made in separating some implementations into referenced files for even cleaner organization, but the current single-file structure remains clear and navigable.