agentic-eval
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
Security Assessment
About agentic-eval
The 'agentic-eval' skill provides a set of patterns and techniques to evaluate and improve the outputs generated by AI agents. It focuses on enabling iterative self-improvement through reflective processes, critique, and refinement loops. By utilizing these techniques, AI agents can assess their outputs more critically, making iterative adjustments to ensure higher quality responses. This skill addresses the need for improving the reliability and quality of AI-generated content across various domains such as code, reports, and analysis.
FAQ
How does the 'agentic-eval' skill work?
The skill uses evaluation patterns that allow AI agents to reflect on their own outputs, critique them based on defined criteria, and refine the results in iterative cycles to improve quality.
Can this skill be applied to any AI model?
Yes, the patterns and techniques provided can be used with any AI model capable of generating outputs and evaluating them against set criteria.
Is this skill suitable for tasks requiring high accuracy?
Yes, 'agentic-eval' is particularly useful for tasks like code generation, report writing, or any other content requiring high accuracy and meeting specific standards.
What are the limitations of this skill?
The skill's performance depends on the ability of the AI model to generate meaningful critiques and improvements based on the evaluation criteria. Additionally, some tasks may require manual oversight to fine-tune results.
Install agentic-eval
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
github/awesome-copilot