advanced-evaluation

构建并实现面向 LLM 输出的评估体系、判定器与偏差缓解方法与流程。

把 LLM-as-a-Judge 的研究和经验落地成可运行的评估体系和判定器，帮你把抽象的评估方法变成可复用的流程。适合需要比较模型输出、做打分、pairwise 比较或缓解 position bias 与评估偏差的场景。重点在偏差缓解、自动化评估流水线和可靠的 rubrics 设计上，提供实用模板。

# 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