interviewing-evaluating-candidates
Help users design and execute a high-signal interview process that prioritizes real-world performance over superficial charisma or pedigree.
npx skills add RefoundAI/lenny-skills --skill interviewing-evaluating-candidates --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Interviewing and Evaluating Candidates Move beyond resumes to assess high-fidelity signals like agency, first-principles thinking, and actual craft. Help the user with interviewing and evaluating candidates using insights from 27 guests and posts across Lenny's Podcast and Newsletter. ## How to Help 1. **Define the Role Core** - Identify specific competencies and core jobs the candidate must perform based on your unique organizational needs. 2. **Design Practical Assessments** - Move from abstract case studies to almost-real-life assignments or paid work trials that mimic the actual job. 3. **Apply Standardized Evaluation** - Implement consistent rubrics and thematic questioning to reduce bias and increase signal quality. 4. **Conduct High-Fidelity Reference Checks** - Verify performance with past collaborators to triangulate interview signals and uncover long-term patterns. ## Core Principles ### Prioritize Enthusiastic Rehires Brian Halligan: "I think CEOs and everyone dramatically overrates their ability to interview, and overrates their gut feeling, and underrates a really high quality blind reference." The most effective hiring signal is asking a reference if the candidate w
- How to Help
- Core Principles
- Prioritize Enthusiastic Rehires
- Use the Unsell Email
- Screen for First-Principles Thinking
- Hire Future Strategy Drivers
- Stack Rank References First
- Questions to Help Users
- Common Mistakes to Flag
- Deep Dive
- Related Skills
What does the interviewing-evaluating-candidates skill do?
Help users design and execute a high-signal interview process that prioritizes real-world performance over superficial charisma or pedigree.
How do I install it?
Run `npx skills add RefoundAI/lenny-skills --skill interviewing-evaluating-candidates --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From RefoundAI/lenny-skills, a repository with 1,215 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.