ai-output-evaluation
Installation
SKILL.md
AI Output Evaluation
Specialized expertise in systematically evaluating the quality of AI-generated output (code, documentation, analysis, tests) using structured rubrics, LLM-as-judge patterns, and bias mitigation techniques.
When to Use This Skill
Use this skill for:
- Evaluating quality of AI-generated code before merging
- Building automated quality gates for AI-powered pipelines
- Designing review rubrics for generated documentation
- Comparing outputs from different models or prompts
- Setting up continuous evaluation for AI-assisted workflows
- Assessing whether AI-generated tests provide real coverage
Trigger phrases: "evaluate AI output", "quality rubric", "LLM as judge", "output evaluation", "generated code quality", "review AI work", "evaluation pipeline", "bias in evaluation"