Systematic evaluation framework for AI products using practitioner-driven methodologies.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add refoundai/lenny-skills --skill ai-evalsCompatible with
Supported agents
Guides users through understanding what \"good\" looks like, designing rubrics and test cases, and implementing scoring criteria aligned with actual user needs
Emphasizes manual review and error analysis as prerequisites to building meaningful evals, with structured workflows for clustering failure patterns
Flags common pitfalls including vague criteria, LLM-as-judge without validation, and Liker
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionai-evalsExecute the skills CLI command in your project's root directory to begin installation:
epx add refoundai/lenny-skills --skill ai-evalsFetches ai-evals from refoundai/lenny-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/ai-evals
Restart Cursor to activate ai-evals. Access via /ai-evalsin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Keeps context tight: ai-evals is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added ai-evals from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
ai-evals is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
ai-evals fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
ai-evals has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: ai-evals is focused, and the summary matches what you get after install.
Registry listing for ai-evals matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: ai-evals is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in ai-evals — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
ai-evals has been reliable in day-to-day use. Documentation quality is above average for community skills.
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