turnover-analytics
Analyze turnover patterns and develop retention strategies with predictive modeling
Profile →npx skills add a5c-ai/babysitter --skill turnover-analytics --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Turnover Analytics Skill ## Overview The Turnover Analytics skill provides capabilities for analyzing turnover patterns, building predictive models, and developing data-driven retention strategies. This skill enables comprehensive turnover understanding and proactive intervention. ## Capabilities ### Turnover Calculation - Calculate turnover rates by segment - Differentiate voluntary vs. involuntary - Track regrettable vs. non-regrettable - Compute annualized rates - Compare to benchmarks ### Survival Analysis - Perform survival analysis on tenure - Build tenure curves by segment - Identify critical tenure periods - Calculate hazard rates - Compare cohort survival ### Predictive Modeling - Build turnover prediction models - Identify risk factors - Calculate flight risk scores - Validate model accuracy - Update models with new data ### Risk Identification - Identify high-risk employees and teams - Flag at-risk talent segments - Monitor risk score changes - Alert managers proactively - Track intervention effectiveness ### Cost Analysis - Analyze turnover cost impacts - Calculate replacement costs - Estimate productivity loss - Model cost avoidance - Support business case ### Interv
- Overview
- Capabilities
- Turnover Calculation
- Survival Analysis
- Predictive Modeling
- Risk Identification
- Cost Analysis
- Intervention Design
- Usage
- Turnover Analysis
- Predictive Model
- Process Integration
- Best Practices
- Metrics and KPIs
What does the turnover-analytics skill do?
Analyze turnover patterns and develop retention strategies with predictive modeling
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill turnover-analytics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.