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Grouping keywords by target page v1.0.0

Use this resource to group keywords by intent and map them to a page

New

  • 336 downloads
  • 175 likes
  • 121 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install keyword-page-clustering

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 groups a keyword list by intent, then says for each group which existing or new page should target it. You get a keyword-to-page mapping plan.

Mostly picked by

Updated November 2, 2026

Card for the “Grouping keywords by target page” skill

Details

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

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What you get

  • SKILL.md: grouping method, from the project to the pages to target
  • SKILL.md: report format and mapping rules

Good fit for

  • You have a long keyword list and no content plan
  • Several pages on your site target the same queries

Not for

    Tags

    • keywords
    • clustering
    • intent
    • pages
    • seo

    About

    You say

    “Group these 300 keywords and tell me which page should target each group.”

    Card for the “Grouping keywords by target page” skill

    Skill published by every-app 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 group keywords by intent and map them to a page
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md5.7 KB

    Origin and licence

    Listed unmodified

    Author
    every-app
    Source
    github.com/every-app/open-seo/tree/99d9a49c8cb742d54eddd64d09efbc5302f6db89/.agents/skills/keyword-clustering
    Licence
    MIT

    Notice

    « keyword-clustering » (every-app, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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