churn-prevention
churn-prevention is an Account health & churn prevention skill for AI agents, published by coreyhaines31 in the marketingskills repository on GitHub. Skillspace rates churn-prevention C (71/100) and it passed the safety scan; a judge model has also reviewed it.
When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' 'involuntary churn,' 'people keep canceling,' 'churn rate is too high,' 'how do I keep users,' or 'customers are leaving.' Use this whenever someone is losing subscribers or wants to build systems to prevent it. For post-cancel win-back email sequences, see emails. For in-app upgrade paywalls, see paywalls.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 49,936
Placed #5 of 6 in the judged category final for Account health & churn prevention.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #5 of 6 in the judged category final for Account health & churn prevention.
- Trigger
87 87 - Instructions
80 80 - Specificity
82 82 - Safety
88 88 - Disclosure
55 55 - Maintenance
85 85
A broad, well-organized cancel-flow and dunning playbook with concrete offer-to-reason mappings, though it remains a single long file rather than splitting detail into references.
Identical churn playbook to its siblings, but its context-file check alone covers three filename generations (.agents/product-marketing.md, a .claude/ variant, and the legacy product-marketing-context.md name), the most careful migration handling of the four.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Also published in 1 other repo
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