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Customer health scoring model v1.0.0

Use this resource to build a customer health score and its action triggers

New

  • 361 downloads
  • 169 likes
  • 174 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install customer-health-scoring-model

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 inventories the available tracking data, defines the health dimensions, the scoring formula and the thresholds, then writes the model. You get a scoring document with the matching actions.

Mostly picked by

Updated November 2, 2026

Card for the “Customer health scoring model” skill

Details

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

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What you get

  • SKILL.md: context, dimensions, formula and trigger steps
  • SKILL.md: scoring document template

Good fit for

  • You want to predict customer churn
  • You do not know which signals show a customer is struggling

Not for

    Tags

    • health score
    • churn
    • customers
    • metrics

    About

    You say

    “Build our customer health score from usage, support tickets and NPS results.”

    Card for the “Customer health scoring model” 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 build a customer health score and its action triggers
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md5 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-health
    Licence
    MIT

    Notice

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

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