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Google Shopping optimization v1.0.0

Use this resource to optimize your product feed and Google Shopping campaigns

New

  • 461 downloads
  • 202 likes
  • 236 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install google-shopping-feed-optimization

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 reviews your product feed, proposes a campaign structure and a bidding strategy, then covers Performance Max integration. You get recommendations aimed at product visibility and ROAS.

Mostly picked by

Updated November 2, 2026

Card for the “Google Shopping optimization” skill

Details

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

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What you get

  • SKILL.md: product feed and campaign structure optimization
  • SKILL.md: bidding strategy and Performance Max integration

Good fit for

  • You have a catalog of several hundred products to advertise
  • Your Shopping ROAS drops despite a stable budget

Not for

    Tags

    • google shopping
    • product feed
    • roas
    • performance max

    About

    You say

    “Optimize my Google Shopping feed. I have 200 products to advertise.”

    Card for the “Google Shopping optimization” 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 product feed and Google Shopping campaigns
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.4 KB

    Origin and licence

    Listed unmodified

    Author
    nexscope-ai
    Source
    github.com/nexscope-ai/ecommerce-skills/tree/ee0fb29433d02ccc22e3e6cea9ab4586d49fd42e/google-shopping-optimization
    Licence
    MIT

    Notice

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

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