Agentic Eval | Agent Skills Atlas

About this skill

Patterns for evaluating and improving AI agent outputs through iterative refinement loops. Use when implementing self-critique, building evaluator-optimizer pipelines, creating rubric-based or LLM-as-judge evaluation systems, or adding iterative quality improvement to generated content (code, reports, analysis).

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Content SHA-256: fb198a5c9b12e746d01a43c9ff3368598fdc1134bb458766f580186f31001573

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agentic-eval

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About this listing

Category: General
Reported license: Not specified
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.