advanced-evaluation

# Advanced Evaluation

This skill covers production-grade techniques for evaluating LLM outputs using LLMs as judges. It synthesizes research from academic papers, industry practices, and practical implementation experience into actionable patterns for building reliable evaluation systems.

**Key insight**: LLM-as-a-Judge is not a single technique but a family of approaches, each suited to different evaluation contexts. Choosing the right approach and mitigating known biases is the core competency this skill develops.

## When to Activate

Activate this skill when:

- Building LLM-as-judge systems for LLM outputs
- Comparing multiple model responses to select the best one
- Establishing consistent quality standards across evaluation teams
- Debugging evaluation systems that show inconsistent results
- Designing A/B tests for prompt or model changes
- Creating rubrics specifically for LLM or human/LLM hybrid judges
- Analyzing correlation between automated and human judgments

Do not activate this skill for adjacent work owned by other skills:
- General deterministic checks, regression suites, production quality gates, or outcome metrics: `evaluation`.
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