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Afrexai Employee Retention

Employee Retention & Turnover Risk Analyzer

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安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 Afrexai Employee Retention 技能。 若已安装,则直接安装 Afrexai Employee Retention 技能。

Overview

Skill Key
1kalin/afrexai-employee-retention
Author
1kalin
Source Repo
openclaw/skills
Version
-
Source Path
skills/1kalin/afrexai-employee-retention
Latest Commit SHA
490d2e0d77d252d23df2f99752eb55a642cfb114

Extracted Content

SKILL.md excerpt

# Employee Retention & Turnover Risk Analyzer

Diagnose why people leave. Fix it before they do.

## What This Does

Runs a structured retention risk assessment across 8 dimensions, scores each 0-100, identifies flight-risk employees and departments, calculates replacement costs, and generates a 90-day action plan.

## 8 Retention Dimensions

1. **Compensation Competitiveness** — market benchmarking, pay equity, total comp analysis
2. **Career Progression** — promotion velocity, skill development, internal mobility
3. **Manager Quality** — span of control, 1:1 frequency, team tenure under each manager
4. **Workload Balance** — overtime patterns, PTO usage, burnout indicators
5. **Culture & Belonging** — eNPS trends, DEI metrics, team cohesion signals
6. **Recognition & Feedback** — frequency, quality, peer-to-peer vs top-down
7. **Flexibility & Autonomy** — remote policy, schedule control, decision authority
8. **Onboarding & Early Tenure** — 90-day attrition, ramp time, buddy program effectiveness

## How to Use

Give the agent your team data (headcount, tenure distribution, recent departures, eNPS scores, comp bands) and it will:

1. Score each dimension 0-100
2. Flag dimensions below 60 as critical
3. Calculate cost-of-turnover by role level:
   - Entry level: 50-60% of salary
   - Mid level: 75-100% of salary
   - Senior/specialist: 100-150% of salary
   - Executive: 200-400% of salary
4. Identify top 3 retention levers (highest ROI interventions)
5. Generate 90-day retention action plan with owner assignments

## Replacement Cost Formula

```
Replacement Cost = (Recruiting fees + Lost productivity + Training + Ramp time) × Role multiplier

Quick estimate:
- $65K role → $39K-$65K replacement cost
- $120K role → $90K-$180K replacement cost  
- $200K role → $200K-$800K replacement cost
```

## 2026 Retention Benchmarks

| Metric | Good | Average | Poor |
|--------|------|---------|------|
| Annual voluntary turnover | <10% | 10-18% | >18% |
| 90-day new hire attri...

README excerpt

# Employee Retention & Turnover Risk Analyzer

Stop bleeding talent. Diagnose retention risks across 8 dimensions, calculate replacement costs, and get a 90-day fix plan.

## What You Get

- **8-dimension retention scoring** (0-100 each): compensation, career progression, manager quality, workload, culture, recognition, flexibility, onboarding
- **Replacement cost calculator** by role level (50-400% of salary)
- **2026 industry benchmarks** for 10 verticals
- **AI-era retention factors** — role anxiety, tool fatigue, upskilling gaps
- **Red flag detection** — pattern combinations that predict attrition waves
- **90-day action plan** with ROI estimates

## Quick Start

Give your agent this skill, then ask:
- "Run a retention risk assessment for my 45-person engineering team"
- "Calculate our annual turnover cost"
- "What are the top 3 retention levers for a SaaS company at 18% attrition?"

## Why This Matters

Replacing one mid-level employee costs $90K-$180K. A 50-person company losing 5 people per year wastes $450K-$900K — before counting lost knowledge, team disruption, and recruitment time.

Most companies measure turnover after it happens. This skill measures the conditions that cause it.

## Full Workforce AI Toolkit

For the complete stack — AI readiness, role redesign, hiring, retention, and productivity:

🖤💛 [AfrexAI Context Packs](https://afrexai-cto.github.io/context-packs/) — $47/pack | [AI Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) | [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/)

Built by AfrexAI.

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