Churn Predictor
Predict customer churn risk using behavioral signals, engagement data, and predictive analytics
npx skills add majiayu000/claude-skill-registry --skill churn-predictor-eddiebe147-claude-settings --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.
# Churn Predictor Expert churn prediction system that identifies at-risk customers before they leave using behavioral signals, engagement patterns, and predictive analytics. This skill provides structured workflows for building churn models, monitoring risk signals, and executing retention interventions. Churn is the silent killer of growth. By the time a customer announces they're leaving, it's often too late. This skill helps you identify churn risk early when intervention can still make a difference, prioritize retention efforts, and systematically reduce churn. Built on data science best practices and customer success methodologies, this skill combines leading indicator analysis, risk scoring, and intervention playbooks to predict and prevent churn before it happens. ## Core Workflows ### Workflow 1: Churn Signal Identification **Map the behaviors that predict churn** 1. **Behavioral Signals** | Signal Type | Examples | Risk Level | |-------------|----------|------------| | Usage Decline | 30%+ drop in logins, sessions, actions | High | | Feature Abandonment | Stopped using key features | Medium-High | | Engagement Drop | No response to emails, missed meetings | Medium | | Supp
- Core Workflows
- Workflow 1: Churn Signal Identification
- Workflow 2: Risk Scoring Model
- Workflow 3: Cohort & Trend Analysis
- Workflow 4: Alert & Escalation System
- Workflow 5: Intervention Playbooks
- Quick Reference
- Best Practices
- Signal Selection
- Scoring Model
- Alert Design
- Intervention
- Model Maintenance
- Churn Signals Library
What does the Churn Predictor skill do?
Predict customer churn risk using behavioral signals, engagement data, and predictive analytics
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill churn-predictor-eddiebe147-claude-settings --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 majiayu000/claude-skill-registry, a repository with 534 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.