name: agentic-eval description: | 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
Agentic Evaluation Patterns
Patterns for self-improvement through iterative evaluation and refinement.
Overview
Evaluation patterns enable agents to assess and improve their own outputs, moving beyond single-shot generation to iterative refinement loops.
Generate → Evaluate → Critique → Refine → Output
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