customaize-agent-agent-evaluation

What problem does it solve?

This Skill provides a comprehensive framework for evaluating and improving the performance of AI agents, ensuring they meet quality standards and achieve desired outcomes.

Core Features & Use Cases

• Multi-dimensional Rubrics: Define and apply detailed rubrics for assessing agent performance across various criteria like accuracy, efficiency, and reasoning.
• LLM-as-Judge & Human Evaluation: Leverage both automated LLM judgments and human oversight for scalable and nuanced evaluation.
• Bias Mitigation: Implement techniques to counteract common biases in LLM evaluations, such as position and length bias.
• Use Case: You've developed a new customer support agent. Use this Skill to systematically test its responses to common queries, identify areas for improvement in its prompt or logic, and ensure it provides accurate and helpful information before deployment.

Quick Start

Evaluate the quality of an AI agent's response to a specific user prompt.