Score and compare job candidates objectively using weighted
Scanned 9/7/2026
Install to Claude Code
npx -y skills add modbender/skill-library-mcp --skill afrexai-hiring-scorecard --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: Hiring Scorecard Skill
description: Score and compare job candidates objectively using weighted
criteria. Eliminates gut-feel hiring decisions.
---
# Hiring Scorecard Skill
Score and compare job candidates objectively using weighted criteria. Eliminates gut-feel hiring decisions.
## Usage
Tell your agent: "Score this candidate for [role]" or "Compare these 3 candidates for the backend engineer role."
## How It Works
1. **Define the role** — provide job title and key requirements
2. **Set criteria** — the agent uses 6 default dimensions (or you customize):
- Technical skills (weight: 25%)
- Relevant experience (weight: 20%)
- Culture fit (weight: 15%)
- Communication (weight: 15%)
- Problem solving (weight: 15%)
- Growth potential (weight: 10%)
3. **Score candidates** — 1-5 scale per criterion after interview/review
4. **Get weighted totals** — ranked comparison with hire/no-hire recommendation
## Commands
- `score candidate [name] for [role]` — start a new scorecard
- `add criterion [name] weight [%]` — customize scoring dimensions
- `compare candidates` — side-by-side ranked comparison
- `hiring summary` — executive summary with recommendation
## Scorecard Template
```markdown
# Candidate Scorecard: [Name]
**Role:** [Title]
**Date:** [Date]
**Interviewer:** [Name]
| Criterion | Weight | Score (1-5) | Weighted |
|-----------|--------|-------------|----------|
| Technical Skills | 25% | _ | _ |
| Relevant Experience | 20% | _ | _ |
| Culture Fit | 15% | _ | _ |
| Communication | 15% | _ | _ |
| Problem Solving | 15% | _ | _ |
| Growth Potential | 10% | _ | _ |
| **TOTAL** | **100%** | | **_/5.0** |
### Notes
- Strengths:
- Concerns:
- Recommendation: HIRE / NO HIRE / MAYBE
### Scoring Guide
5 = Exceptional — top 5% of candidates seen
4 = Strong — clearly above average
3 = Meets bar — would do the job well
2 = Below bar — notable gaps
1 = Not a fit — significant concerns
```
## Tips
- Score immediately after each interview while impressions are fresh
- Have multiple interviewers score independently, then compare
- Adjust weights per role (e.g., bump Technical to 40% for senior eng)
- Track scores over time to calibrate your hiring bar
## More Business Tools
Get industry-specific AI agent context packs at [AfrexAI](https://afrexai-cto.github.io/context-packs/) — pre-built configurations for recruitment, sales, operations, and more. Drop-in and go.
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