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Landing page conversion review v1.0.0

Use this resource to optimise a landing page so it converts, from creation to pre-launch audit

New

  • 341 downloads
  • 202 likes
  • 171 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install landing-page-conversion-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 reviews your page for consistency with the ad, the content above the fold, the copy and the calls to action. You get a prioritised list of fixes and A/B test ideas.

Mostly picked by

Updated November 2, 2026

Card for the “Landing page conversion review” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: four-phase grid (message, above the fold, copy, calls to action)
  • SKILL.md: A/B testing method and pre-launch review

Good fit for

  • Your campaign page converts poorly
  • You are preparing a new page before a paid campaign

Not for

    Tags

    • landing page
    • conversion
    • call to action
    • a/b testing

    About

    You say

    “Review the landing page for my launch offer and suggest prioritised fixes.”

    Card for the “Landing page conversion review” skill

    Skill published by guia-matthieu 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 optimise a landing page so it converts, from creation to pre-launch audit
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md19.8 KB

    Origin and licence

    Listed unmodified

    Author
    guia-matthieu
    Source
    github.com/guia-matthieu/clawfu-skills/tree/4108f5c010ccaa8b5707fa05ca1d888ae167e548/skills/content/landing-page-optimizer
    Licence
    MIT

    Notice

    « landing-page-optimizer » (guia-matthieu, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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