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Prioritised SEO keyword research v1.0.0

Use this resource to find and prioritise keywords to target with OpenSEO

New

  • 547 downloads
  • 160 likes
  • 249 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install seo-keyword-research-2

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 starts from seed topics and queries OpenSEO to evaluate metrics and search results. You get a prioritised keyword report, with terms to save and terms to research further.

Mostly picked by

Updated November 2, 2026

Card for the “Prioritised SEO keyword research” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: required inputs, working method and report format
  • SKILL.md: the OpenSEO MCP tools used and guardrails

Good fit for

  • You are launching a site and do not know which terms to target
  • You want to build out a keyword list around an offer

Not for

    Tags

    • seo
    • keywords
    • research
    • openseo
    • search

    About

    You say

    “Find the keywords to target for my organic tea shop in France.”

    Card for the “Prioritised SEO keyword research” 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 find and prioritise keywords to target with OpenSEO
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md6.9 KB

    Origin and licence

    Listed unmodified

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

    Notice

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

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