churn-risk-detector
Scan support tickets, Slack channels, NPS scores, and usage patterns to flag accounts showing early churn indicators. Produces a weekly risk scorecard with severity tiers, root cause hypotheses, and suggested save plays per account. Designed for seed/Series A teams where the founder or a single CSM manages all accounts manually.
npx skills add gooseworks-ai/goose-skills --skill churn-risk-detector --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 Risk Detector Surface accounts at risk of churning before it's too late. Aggregates signals from support, communication, and usage patterns into a scored risk report with specific save actions. **Built for:** Early-stage teams with no CS platform (no Gainsight, no ChurnZero). You have a spreadsheet of customers, a Slack channel, and a support inbox. This skill turns those raw signals into an actionable churn risk list. ## When to Use - "Which customers are at risk of churning?" - "Run the weekly churn risk scan" - "Flag accounts I should worry about" - "Who haven't we heard from in a while?" - "Produce a customer health report" ## Phase 0: Intake ### Account Data 1. **Customer list** — CSV or sheet with: company name, primary contact email, contract value (MRR/ARR), contract start date, renewal date (if known) 2. **Product/service type** — What are they paying for? (Helps calibrate expected engagement) ### Signal Sources (provide what you have) 3. **Support tickets** — Export from Intercom, Zendesk, or email (CSV with: customer, date, subject, status, resolution time) 4. **Slack channel history** — Customer Slack channel or shared channel messages 5. **NPS/CSAT scores** — R
- When to Use
- Phase 0: Intake
- Account Data
- Signal Sources (provide what you have)
- Calibration
- Phase 1: Signal Extraction
- 1A: Support Signal Analysis
- 1B: Communication Signal Analysis
- 1C: Usage Signal Analysis (if data available)
- 1D: Commercial Signal Analysis
- Phase 2: Risk Scoring
- Scoring Model
- Risk Tiers
- Phase 3: Save Play Generation
What does the churn-risk-detector skill do?
Scan support tickets, Slack channels, NPS scores, and usage patterns to flag accounts showing early churn indicators. Produces a weekly risk scorecard with severity tiers, root cause hypotheses, and suggested save plays per account. Designed for seed/Series A teams where the founder or a single CSM manages all accounts manually.
How do I install it?
Run `npx skills add gooseworks-ai/goose-skills --skill churn-risk-detector --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 gooseworks-ai/goose-skills, a repository with 1,091 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.