Design an evaluation plan for an LLM or AI feature before shipping it. Use when asked how to evaluate a prompt/model/agent, set up an eval harness, define quality metrics for an AI feature, or build a regression gate. Produces an eval plan — task definition, datasets, metrics & rubrics, baselines, automated + human evals, a pass bar, and a regression gate.
How to install ai-eval-plan?
mohitagw15856/pm-claude-skills/ai-eval-plan
$npx -y skills add mohitagw15856/pm-claude-skills --skill ai-eval-planInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/mohitagw15856/pm-claude-skills" --skill "mohitagw15856/pm-claude-skills/ai-eval-plan"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mohitagw15856/pm-claude-skills" that are relevant to the current task. Run `npx skills add "https://github.com/mohitagw15856/pm-claude-skills"` and select the relevant skills, then follow their instructions.
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