churn-analysis
Analyse customer churn for a product or cohort and produce a structured churn report. Use when asked to analyse churn, understand why customers are leaving, identify churn patterns, calculate churn rate, or build a churn reduction plan. Produces a churn analysis with rate calculations, categorised reasons, early warning signals, and prioritised interventions.
npx skills add majiayu000/claude-skill-registry --skill churn-analysis --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 Analysis Skill Produce a structured churn analysis that goes beyond the headline rate — identifying why customers leave, which segments are most at risk, and what interventions will have the highest impact on retention. ## Required Inputs Ask for these if not already provided: - **Time period** being analysed (e.g. Q1, last 12 months) - **Total customers at start of period** and **customers churned** - **ARR or revenue lost** to churn - **Churn reasons data** — exit survey results, CSM notes, support data, or sales loss reasons - **Customer segments** — by tier, industry, cohort, or product line - **Current retention rate** if known - **Any recent changes** — pricing, product, support model — that may have affected churn ## Churn Categories Always classify churn before analysing it: | Category | Definition | |---|---| | **Voluntary — avoidable** | Customer left due to a problem we could have addressed (product gaps, poor onboarding, relationship failures) | | **Voluntary — unavoidable** | Customer left for reasons outside our control (budget cuts, acquisition, company shutdown) | | **Involuntary** | Payment failure, contract non-renewal by mistake, admin error | The interve
- Required Inputs
- Churn Categories
- Output Format
- Headline Numbers
- Churn Breakdown by Category
- Churn Reasons — Avoidable Churn Only
- Churn by Segment
- By Tier
- By Cohort (Acquisition Year)
- By Industry / Use Case (if data available)
- Timing Analysis
- Early Warning Signals
- Intervention Recommendations
- What We Don't Know (Data Gaps)
What does the churn-analysis skill do?
Analyse customer churn for a product or cohort and produce a structured churn report. Use when asked to analyse churn, understand why customers are leaving, identify churn patterns, calculate churn rate, or build a churn reduction plan. Produces a churn analysis with rate calculations, categorised reasons, early warning signals, and prioritised interventions.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill churn-analysis --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.