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SkillHub ClubAnalyze Data & AIFull StackData / AI

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.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
35
Hot score
90
Updated
March 20, 2026
Overall rating
C3.9
Composite score
3.9
Best-practice grade
A88.4

Install command

npx @skill-hub/cli install liqiongyu-lenny-skills-plus-evaluating-candidates

Repository

liqiongyu/lenny_skills_plus

Skill path: skills/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.

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Full Stack, Data / AI.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: liqiongyu.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install evaluating-candidates into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/liqiongyu/lenny_skills_plus before adding evaluating-candidates to shared team environments
  • Use evaluating-candidates for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

evaluating-candidates | SkillHub