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Customer success and retention review v1.0.0

Use this resource to audit customer success and understand churn

New

  • 342 downloads
  • 137 likes
  • 195 saves

Free

Install with the CLI

In a terminal, from the folder you want:

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

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 finds onboarding flows, lifecycle emails and metrics, checks NRR and churn patterns, then maps the customer journey. It presents an assessment before any playbook proposal.

Mostly picked by

Updated November 2, 2026

Card for the “Customer success and retention review” skill

Details

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

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What you get

  • SKILL.md: steps to find, diagnose and map the customer journey
  • SKILL.md: NRR check and inventory of customer success assets

Good fit for

  • Customers leave and you don't know why
  • You want to design a customer success playbook

Not for

    Tags

    • customer success
    • retention
    • onboarding
    • nrr

    About

    You say

    “Why do customers leave after three months? Audit our onboarding and NRR.”

    Card for the “Customer success and retention review” 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 audit customer success and understand churn
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md4.3 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-recon
    Licence
    MIT

    Notice

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

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