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Retention diagnosis and action plan v1.0.0

Use this resource to diagnose retention and design a prioritized intervention plan

New

  • 409 downloads
  • 151 likes
  • 156 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install retention-diagnosis-plan

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent reviews the retention signal, identifies the main cause of user drop-off and designs prioritized interventions, with their habit loop and expected impact. You get a plan to execute rather than a list of options.

Mostly picked by

Updated November 2, 2026

Card for the “Retention diagnosis and action plan” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: curve diagnosis, drop-off causes and interventions
  • SKILL.md: habit loop, prioritization and scoring

Good fit for

  • Your users do not come back after their first week
  • You want to design a targeted win-back campaign

Not for

    Tags

    • retention
    • churn
    • cohorts
    • win-back
    • growth

    About

    You say

    “Analyze our subscriber retention and propose a plan to reduce drop-off after the first month.”

    Card for the “Retention diagnosis and action plan” skill

    Skill published by tonone-ai <hello@tonone.ai> under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to diagnose retention and design a prioritized intervention plan
    3. Review and adjust the result

    Content preview

    Files

    • .claude-plugin/plugin.json0.6 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md10.2 KB

    Origin and licence

    Listed unmodified

    Author
    tonone-ai <hello@tonone.ai>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/ai-agency/tonone/skills/surge-retention
    Licence
    MIT

    Notice

    « surge-retention » (tonone-ai <hello@tonone.ai>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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