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Image strategy for Amazon listings v1.0.0

Use this resource to plan your Amazon listing images to improve conversion

New

  • 307 downloads
  • 175 likes
  • 247 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install amazon-listing-image-strategy

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 drafts the shot list, designs infographics and lifestyle visuals, then proposes A/B tests to measure their effect. You get a complete visual strategy.

Mostly picked by

Updated November 2, 2026

Card for the “Image strategy for Amazon listings” skill

Details

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

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What you get

  • SKILL.md : shot list and image composition
  • SKILL.md : infographics, lifestyle scenes and A/B testing

Good fit for

  • Your conversion rate is low despite good ranking
  • You are preparing a new image set

Not for

    Tags

    • amazon
    • images
    • photography
    • conversion

    About

    You say

    “Create the image strategy for my new portable blender: shot list and infographics.”

    Card for the “Image strategy for Amazon listings” 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 plan your Amazon listing images to improve conversion
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md22.3 KB

    Origin and licence

    Listed unmodified

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

    Notice

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

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