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Link relevance assessment between pages v1.0.0

Use this resource to assess whether a link between two pages is relevant and useful to the reader

New

  • 392 downloads
  • 242 likes
  • 192 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install link-relevance-evaluation

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 compares the source page's context with the destination page's, then says whether the link is relevant and where to place it. You get a reasoned assessment and recommendations for the anchor.

Mostly picked by

Updated November 2, 2026

Card for the “Link relevance assessment between pages” skill

Details

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

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What you get

  • SKILL.md: method, best practices and deliverable
  • SKILL.md: examples, limits and common mistakes

Good fit for

  • You are unsure whether to link an article to a product page
  • You review the links of an old article before updating it

Not for

    Tags

    • links
    • relevance
    • seo
    • anchor

    About

    You say

    “Tell me whether a link from this blog post to my pricing page is relevant, and which anchor to use.”

    Card for the “Link relevance assessment between pages” 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 assess whether a link between two pages is relevant and useful to the reader
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md6.8 KB

    Origin and licence

    Listed unmodified

    Author
    WHOISABHISHEKADHIKARI
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/link-relevance-evaluator
    Licence
    MIT

    Notice

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

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