Install
$ agentstack add skill-infinite-labs-ai-infinite-skills-retention ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Retention
Find where customers lose momentum and choose practical ways to improve activation, renewal, expansion, or winback.
Map The Customer State
Use product analytics, billing data, CRM notes, cancellation reasons, support tickets, interviews, or lifecycle performance. If unavailable, ask for:
- Customer lifecycle stages.
- Activation milestone.
- Churn or cancellation point.
- Plan, pricing, and renewal model.
- Common objections or complaints.
- Existing save, winback, and dunning flows.
Identify Retention Leaks
Classify by cause:
- Setup failure: customer never reaches the first useful outcome.
- Value gap: product works but not enough to justify cost.
- Habit gap: value exists but usage does not become routine.
- Champion loss: buyer or user changes.
- Expectation mismatch: marketing or sales promised the wrong thing.
- Payment failure: billing breaks an otherwise healthy account.
- Expansion ceiling: customer cannot grow into the next plan.
Choose Interventions
Match intervention to cause:
- Activation checklist or concierge setup.
- Use-case education.
- Health alerts.
- Save offer or plan downgrade.
- Pause option.
- Failed payment recovery.
- Renewal proof recap.
- Expansion trigger.
- Winback based on prior use case.
Do not use discounts as the default save tactic. If value is unclear, discounting only delays churn.
Choose Retention Plays
Order interventions from least invasive to most commercial:
- Product fix or setup improvement.
- Education or lifecycle guidance.
- Human support or concierge save.
- Billing repair or dunning.
- Plan change, pause, or downgrade.
- Commercial save offer.
- Winback after exit.
Use discounts only when the evidence suggests price or timing is the real barrier.
Output
Retention map:
Lifecycle stages:
Activation milestone:
Main leak:
Leak diagnosis:
| Stage | Symptom | Evidence | Root cause confidence | First intervention |
Intervention ladder:
1. Product:
2. Education:
3. Human support:
4. Billing:
5. Commercial:
Cancellation flow:
- Ask:
- Route:
- Save option:
- Exit if:
Winback segment:
- Who:
- Why now:
- Message:
Metrics:
- Leading:
- Lagging:
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Infinite-Labs-AI
- Source: Infinite-Labs-AI/infinite-skills
- License: MIT
- Homepage: https://infinite.fast/agents/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.