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Onboarding, customer health and retention v1.0.0

Use this resource to improve customer onboarding and retention

New

  • 508 downloads
  • 222 likes
  • 104 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install customer-success-retention

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

Keep, a customer success engineer, optimises onboarding, builds a customer health score, finds expansion levers and prevents churn. You get a scoring model and the action triggers.

Mostly picked by

Updated November 2, 2026

Card for the “Onboarding, customer health and retention” skill

Details

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

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What you get

  • SKILL.md: routing to keep-recon, keep-health and keep-onboard
  • SKILL.md: list of retention levers

Good fit for

  • Your customers leave after the first months
  • You want a health score to prioritise your teams

Not for

    Tags

    • retention
    • churn
    • onboarding
    • health score

    About

    You say

    “Design a customer health score with its signals and weights for my SaaS.”

    Card for the “Onboarding, customer health and retention” 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 improve customer onboarding and retention
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.4 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/keep
    Licence
    MIT

    Notice

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

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