domains / families / agent-tooling / agentic-eval

agentic-eval

separate

Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality

When to use

Skill page

Source

RepositoryPath
LeoYeAI/openclaw-master-skillsskills/agentic-eval/SKILL.md