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SEO topic cluster architecture v1.0.0

Use this resource to map a topic cluster for your SEO

New

  • 387 downloads
  • 224 likes
  • 128 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install topic-cluster-architecture

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 sets the pillar page, assigns the supporting articles, plans internal linking and the publishing order, then defines tracking metrics. You get a cluster map with the estimated monthly search volume of each piece.

Mostly picked by

Updated November 2, 2026

Card for the “SEO topic cluster architecture” skill

Details

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

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What you get

  • SKILL.md: mapping method and linking plan
  • SKILL.md: publishing order and cluster health metrics

Good fit for

  • You want to build authority on a theme
  • Your articles compete with each other for the same keywords

Not for

    Tags

    • cluster
    • seo
    • pillar
    • linking

    About

    You say

    “Build the content cluster around cash management for a small business.”

    Card for the “SEO topic cluster architecture” skill

    Skill published by tonone-ai <hello@tonone.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 map a topic cluster for your SEO
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md5.4 KB

    Origin and licence

    Listed unmodified

    Author
    tonone-ai <hello@tonone.ai>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/ai-agency/tonone/bundle/marketing-team/skills/ink-cluster
    Licence
    MIT

    Notice

    « ink-cluster » (tonone-ai <hello@tonone.ai>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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