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Cross-platform keyword research v1.0.0

Use this resource to find purchase keywords for your products on each platform

New

  • 442 downloads
  • 190 likes
  • 151 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ecommerce-keyword-research

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 finds high purchase-intent keywords across several platforms, assesses volume and competition signals and spots long-tail opportunities. You get a keyword list ranked by platform.

Updated November 2, 2026

Card for the “Cross-platform keyword research” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: cross-platform research method
  • SKILL.md: volume, competition and intent signals

Good fit for

  • Your products are hard to find on Amazon or Google Shopping
  • You are launching a range and need the right terms

Not for

    Tags

    • keywords
    • purchase intent
    • multi-platform

    About

    You say

    “Find purchase keywords for my yoga mat on Amazon, Shopify and Google Shopping.”

    Card for the “Cross-platform keyword research” 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 find purchase keywords for your products on each platform
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.6 KB

    Origin and licence

    Listed unmodified

    Author
    nexscope-ai
    Source
    github.com/nexscope-ai/ecommerce-skills/tree/ee0fb29433d02ccc22e3e6cea9ab4586d49fd42e/ecommerce-keyword-research
    Licence
    MIT

    Notice

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

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