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Keyword clustering by theme v1.0.0

Use this resource to cluster a keyword list by theme and search intent

New

  • 588 downloads
  • 125 likes
  • 163 saves

Free

Install with the CLI

In a terminal, from the folder you want:

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

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

From a keyword list, the agent groups terms by topic and search intent so you can build a content architecture. It follows the guide's expected deliverable, best practices and common pitfalls. You get groups to review before writing.

Mostly picked by

Updated November 2, 2026

Card for the “Keyword clustering by theme” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: method, best practices and expected deliverable
  • SKILL.md: examples, related skills and common pitfalls

Good fit for

  • You have hundreds of unorganized keywords
  • You want to know which page should target which group

Not for

    Tags

    • keywords
    • clustering
    • intent
    • content

    About

    You say

    “Cluster this gardening keyword list by intent and suggest one page per group.”

    Card for the “Keyword clustering by theme” skill

    Skill published by WHOISABHISHEKADHIKARI 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 cluster a keyword list by theme and search intent
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md6.7 KB

    Origin and licence

    Listed unmodified

    Author
    WHOISABHISHEKADHIKARI
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/keyword-clustering-tool
    Licence
    MIT

    Notice

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

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