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Conversion funnel analysis v1.0.0

Use this resource to measure funnel pass-through rates and find drop-offs

New

  • 573 downloads
  • 141 likes
  • 183 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install funnel-analysis

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 defines the journey steps, computes the pass-through rates and finds the step where users leave the most. You get a quantified funnel and the points to improve.

Mostly picked by

Updated November 2, 2026

Card for the “Conversion funnel analysis” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: funnel definition and rate calculation steps
  • SKILL.md: funnel examples and expected output

Good fit for

  • Your store gets visits but few orders
  • You want to know where sign-ups are lost

Not for

    Tags

    • funnel
    • conversion
    • analysis
    • journey

    About

    You say

    “Compute my store funnel: product page, cart, payment and order, and find the biggest leak.”

    Card for the “Conversion funnel analysis” 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 measure funnel pass-through rates and find drop-offs
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.6 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/funnel-analysis-builder
    Licence
    MIT

    Notice

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

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