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SEO keyword extraction from text v1.0.0

Use this resource to extract relevant SEO keywords from a text

New

  • 536 downloads
  • 172 likes
  • 135 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install seo-keyword-extraction

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 analyses the text, generates keywords, ranks and normalises them, then validates them against quality rules. It returns one comma-separated line of keywords and flags cases where the text is too short to extract any.

Mostly picked by

Updated November 2, 2026

Card for the “SEO keyword extraction from text” skill

Details

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

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What you get

  • SKILL.md: quality rules and output format
  • SKILL.md: analysis, generation and ranking steps
  • SKILL.md: short-text and edge-case handling

Good fit for

  • You write a page and want a keyword list for search
  • You want normalised keywords for a content library

Not for

    Tags

    • seo
    • keywords
    • search
    • text

    About

    You say

    “Extract the SEO keywords from this blog post about specialty coffee.”

    Card for the “SEO keyword extraction from text” skill

    Skill published by sickn33 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 extract relevant SEO keywords from a text
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md4.5 KB

    Origin and licence

    Listed unmodified

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

    Notice

    « keyword-extractor » (sickn33, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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