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Customer retention calculation v1.0.0

Use this resource to calculate your customer retention

New

  • 323 downloads
  • 237 likes
  • 224 saves

Free

Install with the CLI

In a terminal, from the folder you want:

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

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

This skill activates on retention requests and guides the agent step by step, with examples and error-handling rules. Its page does not detail a precise formula, so check the calculation on a few customers before sharing it.

Mostly picked by

Updated November 2, 2026

Card for the “Customer retention calculation” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: calculation steps and prerequisites
  • SKILL.md: examples and error handling

Good fit for

  • You want to know how many customers come back
  • You are tracking the effect of a change on loyalty

Not for

    Tags

    • retention
    • cohorts
    • analysis
    • customers

    About

    You say

    “Calculate our customer retention by monthly cohort.”

    Card for the “Customer retention calculation” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> 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 calculate your customer retention
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.3 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/12-data-analytics/retention-calculator
    Licence
    MIT

    Notice

    « retention-calculator » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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