Afrexai Hiring Scorecard

# 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)...

# afrexai-hiring-scorecard 🖤💛

**Objective candidate scoring for AI agents.** Stop making gut-feel hiring decisions — score candidates on weighted criteria and compare them side by side.

## What It Does

- Generates structured scorecards with 6 weighted dimensions
- Scores candidates 1-5 per criterion with weighted totals
- Compares multiple candidates ranked by score
- Produces executive hiring summaries with clear recommendations

## Quick Start

Install the skill, then tell your agent:

> "Score Sarah Chen for the Senior Backend Engineer role. She has 7 years Python experience, strong system design, quiet but precise communicator."

Your agent builds a full scorecard with weighted scores and a hire/no-hire recommendation.

## Default Criteria

| Criterion | Weight |
|-----------|--------|
| Technical Skills | 25% |
| Relevant Experience | 20% |
| Culture Fit | 15% |
| Communication | 15% |
| Problem Solving | 15% |
| Growth Potential | 10% |

Customize weights per role. Bump Technical to 40% for senior engineering. Bump Communication to 25% for customer-facing roles.

## Why Use This

Hiring is the highest-leverage decision a company makes. Bad hires cost 3-5x salary. This skill forces structured evaluation so you hire on signal, not vibes.

## More from AfrexAI

- 🔧 [Free AI Agent Tools](https://afrexai-cto.github.io/ai-revenue-calculator/) — Calculate your AI automation ROI
- 🏪 [Context Packs Store](https://afrexai-cto.github.io/context-packs/) — Industry-specific agent configs ($47/pack)
- 🧙 [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — Configure your agent in 60 seconds

Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) — AI tools that actually work.