·evaluating-candidates
</>

evaluating-candidates

Make an evidence-based hiring decision and produce a Candidate Evaluation Decision Pack (criteria + scorecard, signal log, work sample/trial plan + rubric, reference check script + summary, decision memo). Use for candidate evaluation, hiring decisions, reference checks, work samples/take-homes, and hiring bar calibration. Category: Hiring & Teams.

4Installs·0Trend·@liqiongyu

Installation

$npx skills add https://github.com/liqiongyu/lenny_skills_plus --skill evaluating-candidates

How to Install evaluating-candidates

Quickly install evaluating-candidates AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/liqiongyu/lenny_skills_plus --skill evaluating-candidates
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: liqiongyu/lenny_skills_plus.

SKILL.md

View raw

Produce a Candidate Evaluation Decision Pack in Markdown (in-chat; or as files if requested):

1) Evaluation brief (role success definition, criteria, weights, red flags) 2) Scorecard (rating anchors + evidence capture) 3) Signal log (all signals normalized into one table with evidence) 4) Work sample / take-home / paid trial plan + rubric (if used) 5) Reference check kit (outreach, script, note form, summary)

6) Candidate comparison (if multiple candidates) 7) Hiring decision memo (recommendation + risks + mitigations) 8) Risks / Open questions / Next steps (always included)

Make an evidence-based hiring decision and produce a Candidate Evaluation Decision Pack (criteria + scorecard, signal log, work sample/trial plan + rubric, reference check script + summary, decision memo). Use for candidate evaluation, hiring decisions, reference checks, work samples/take-homes, and hiring bar calibration. Category: Hiring & Teams. Source: liqiongyu/lenny_skills_plus.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/liqiongyu/lenny_skills_plus --skill evaluating-candidates
Category
</>Dev Tools
Verified
First Seen
2026-02-25
Updated
2026-03-10

Browse more skills from liqiongyu/lenny_skills_plus

Quick answers

What is evaluating-candidates?

Make an evidence-based hiring decision and produce a Candidate Evaluation Decision Pack (criteria + scorecard, signal log, work sample/trial plan + rubric, reference check script + summary, decision memo). Use for candidate evaluation, hiring decisions, reference checks, work samples/take-homes, and hiring bar calibration. Category: Hiring & Teams. Source: liqiongyu/lenny_skills_plus.

How do I install evaluating-candidates?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/liqiongyu/lenny_skills_plus --skill evaluating-candidates Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/liqiongyu/lenny_skills_plus