llm-evaluation
Description
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
How to Use
- Visit the GitHub repository to get the SKILL.md file
- Copy the file to your project root or .cursor/rules directory
- Restart your AI assistant or editor to apply the new skill
Full Skill Documentation
name
llm-evaluation
description
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
Tags
About llm-evaluation
llm-evaluation is an AI skill in the llm-agents category, designed to help developers and users work more effectively with AI tools. Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
This skill has earned 5,200 stars on GitHub, reflecting strong community adoption and trust. It is compatible with claude, codex.
Key Capabilities
Why Use llm-evaluation
Adding llm-evaluation to your AI workflow can significantly enhance your productivity in llm-agents tasks. With pre-defined prompt templates and best practices, this skill helps AI assistants better understand your requirements and deliver more accurate responses.
Whether you use claude or codex, you can easily integrate this skill into your existing development environment.
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