advanced-evaluation

提供构建生产级 LLM 输出评估与判定的策略、模板与实践。

帮你搭建能把大模型当裁判来评估输出的工程化方案：什么时候用来比对模型输出、做自动化打分、或消除评估偏差都很合适。会把常见做法（如 rubrics、pairwise 比较、位置偏差校正）和流水线实践搬到生产环境，提供模板和落地策略，省去从零摸索的反复试验。

# 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 Use
Activate this skill when:

- Building automated evaluation pipelines for LLM outputs
- Comparing multiple model responses to select the best one
- Establishing