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Evaluating Candidates

refoundai/lenny-skills

This is a hiring framework distilled from 94 product leaders that pushes back on gut-feel recruiting. Use it when you're screening candidates, running reference checks, or choosing between finalists. The core insight is that structured evaluation beats intuition: do reference checks over interviews, hire for team gaps instead of hunting unicorns, and use paid work trials to see how people actually operate. It'll challenge you on pedigree bias and push you toward rubrics. The framework is opinionated about things like T-shaped careers and "bar raiser" debriefs, which makes it more useful than generic hiring advice but means you need to adapt it to your context.

skills.sh installs
1.6K
GitHub stars
1.5K
last updated
Aug 21, 2026
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Install

$ npx -y skills add refoundai/lenny-skills --skill evaluating-candidates --agent claude-code

Installs into .claude/skills of the current project.

Files

This is a hiring framework distilled from 94 product leaders that pushes back on gut-feel recruiting. Use it when you're screening candidates, running reference checks, or choosing between finalists. The core insight is that structured evaluation beats intuition: do reference checks over interviews, hire for team gaps instead of hunting unicorns, and use paid work trials to see how people actually operate. It'll challenge you on pedigree bias and push you toward rubrics. The framework is opinionated about things like T-shaped careers and "bar raiser" debriefs, which makes it more useful than generic hiring advice but means you need to adapt it to your context.

Browse the repository on GitHub

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Details

Repository
github.com/refoundai/lenny-skills

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