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TikTok Shop listing optimization v1.0.0

Use this resource to optimize TikTok Shop product listings for search and conversion

New

  • 480 downloads
  • 116 likes
  • 222 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install tiktok-shop-listing-seo

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 works on title and description search optimization and on the quality of images and videos, then compares your listing with competitors'. You get improved listings and an iteration plan based on results.

Updated November 2, 2026

Card for the “TikTok Shop listing optimization” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: title, description and attribute search optimization
  • SKILL.md: images, videos, conversion optimization and iteration plan

Good fit for

  • Your TikTok Shop products get little search visibility
  • Your listing conversion rate is low

Not for

    Tags

    • tiktok shop
    • product listing
    • seo
    • conversion

    About

    You say

    “Optimize my wireless earbuds listing for TikTok Shop search.”

    Card for the “TikTok Shop listing 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 TikTok Shop product listings for search and conversion
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md8 KB

    Origin and licence

    Listed unmodified

    Author
    nexscope-ai
    Source
    github.com/nexscope-ai/ecommerce-skills/tree/ee0fb29433d02ccc22e3e6cea9ab4586d49fd42e/tiktok-shop-listing-optimization
    Licence
    MIT

    Notice

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

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