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SEO keyword clustering v1.0.0

Use this resource to group keywords into clusters to organise your content

New

  • 364 downloads
  • 109 likes
  • 220 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install seo-keyword-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 related keywords by topic, then proposes a pillar page and supporting content for each cluster. It also recommends an internal linking strategy between those pages. You get a content architecture ready to schedule.

Mostly picked by

Updated November 2, 2026

Card for the “SEO keyword clustering” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: clustering method and output format
  • SKILL.md: page architecture and internal linking recommendations

Good fit for

  • Several of your articles compete for the same queries
  • You are planning editorial content for the next six months

Not for

    Tags

    • seo
    • keywords
    • clusters
    • internal linking

    About

    You say

    “Group these two hundred billing-related keywords into clusters and propose a pillar page for each.”

    Card for the “SEO keyword clustering” skill

    Skill published by onewave-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 group keywords into clusters to organise your content
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.5 KB

    Origin and licence

    Listed unmodified

    Author
    onewave-ai
    Source
    github.com/onewave-ai/claude-skills/tree/b2267d9171af4f56848d82992381b20b89b44056/seo-keyword-cluster-builder
    Licence
    MIT

    Notice

    « seo-keyword-cluster-builder » (onewave-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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