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Amazon backend search terms v1.0.0

Use this resource to optimize your Amazon backend search terms within the 250-byte limit

New

  • 424 downloads
  • 158 likes
  • 135 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install amazon-backend-search-terms

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 priority keywords, removes duplicates and manages the 250-byte limit to improve visibility. You get a search term list ready to enter and a performance follow-up.

Mostly picked by

Updated November 2, 2026

Card for the “Amazon backend search terms” skill

Details

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

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What you get

  • SKILL.md : keyword research and prioritization
  • SKILL.md : 250-byte management and deduplication

Good fit for

  • You have more relevant keywords than space available
  • Your product does not appear for important searches

Not for

    Tags

    • amazon
    • keywords
    • search
    • bytes

    About

    You say

    “Optimize my backend search terms: I have fifteen relevant keywords but only 250 bytes.”

    Card for the “Amazon backend search terms” skill

    Skill published by nexscope-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 optimize your Amazon backend search terms within the 250-byte limit
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md19.8 KB

    Origin and licence

    Listed unmodified

    Author
    nexscope-ai
    Source
    github.com/nexscope-ai/amazon-skills/tree/0f3b13fa0e5ed0a9f3d600dc18518bc76ddd813b/amazon-backend-keywords
    Licence
    MIT

    Notice

    « amazon-backend-keywords » (nexscope-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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