AGENT SKILL

retention-map

Plan repeat-use loops, lifecycle triggers, churn risks, recovery paths, and retention signals

License 许可
MIT
最近更新
2026-11-10
Stars
★ 1
Forks
0

01 前言 Front Matter

name
retention-map
type
analysis
version
v0.1
description
Plan repeat-use loops, lifecycle triggers, churn risks, recovery paths, and retention signals
argument-hint
[optional: app, persona, or retention stage]

03 SKILL.md 正文

Pack Availability Guard

Before telling the user to run a skill from another project-local pack, check .agents/project.json.enabled_packs. If the target pack is not enabled, recommend $pack install <pack> instead of the target skill.

Retention Map

Invoke as $retention-map.

Map why customers return, what predicts churn, and how the product recovers at-risk users.

Workflow

  1. Resolve app scope using research/{app}/ when applicable.
  2. Require research/journey-map.md; if missing, recommend $journey-map.
  3. Load journey, onboarding, conversion, transaction, metrics, customer feedback, specs, and product evidence when present.
  4. Interview and recommend around: repeat-use job, natural frequency, core habit/workflow loop, lifecycle messages, saved state, collaboration, renewal moments, churn triggers, downgrade/cancel paths, winback, support recovery, and leading indicators.
  5. Present the retention model and risk assumptions before writing.
  6. Write research/retention-map.md and research/retention-map-interview.md after validation.

Output Shape

# Retention Map

> Based on: research/journey-map.md
> Date: YYYY-MM-DD

## Summary
## Repeat-Use Loop
## Lifecycle Triggers
## Healthy Usage Signals
## Churn Triggers
## Recovery And Winback
## Product Gaps
## Next Steps

Alignment Page

Follow the shared Alignment Page convention in CLAUDE.md. Output: alignment/retention-map-{topic}.html.

Constraints

  • Do not force habit-loop language onto naturally infrequent or transactional products; document the natural return trigger instead.
  • End with ## Next Steps, preferring $expansion-map, $lifecycle-metrics, $hook-model, $customer-feedback, or $cohort-review as context dictates.

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