analytics

Attrition Insights: Predict Employee Loss

Get AI-powered employee attrition prediction for data-driven retention strategies. For startup founders and HR teams.
117 stars2 forksHTMLGuide quality 9/10Updated 9/6/2026100% free · open source
What it does

This tool provides AI-powered employee attrition prediction to help startup founders and HR teams develop data-driven retention strategies.

When to use it
  • When you need to identify high-risk employees who are likely to leave the company
  • When you want to analyze the factors that contribute to employee attrition
  • When you need to develop targeted retention strategies to reduce turnover rates
Ready-to-paste prompt
Upload a CSV file containing employee data, and select the 'satisfaction_level' and 'last_evaluation' columns to analyze the relationship between job satisfaction and performance evaluation scores
Heads up: Make sure your CSV file is properly formatted, with a header row and consistent data types, to avoid errors during data upload and analysis
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/attrition-insights-engineering && curl -fsSL https://workflowstacks.com/api/skills/attrition-insights-engineering/claude-skill -o ~/.claude/skills/attrition-insights-engineering/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions
Details
Creator
MUJTBA4F
Language
HTML
Category
analytics
Published
6/28/2026

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