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TikTok Shop product research v1.0.0

Use this resource to find products with strong viral potential on TikTok Shop

New

  • 377 downloads
  • 185 likes
  • 173 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install tiktok-shop-product-scoring

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 gives products a viral-potential score, analyzes creator demand and compares categories. You get a ranked list of products to test and an implementation plan. Beta status.

Mostly picked by

Updated November 2, 2026

Card for the “TikTok Shop product research” skill

Details

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

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What you get

  • SKILL.md: scoring capabilities, creator demand and categories
  • SKILL.md: implementation steps and output format

Good fit for

  • You are looking for a product to launch on TikTok Shop
  • You compare two categories before investing

Not for

    Tags

    • tiktok shop
    • product research
    • viral potential
    • categories

    About

    You say

    “Rank these three product categories by viral potential on TikTok Shop.”

    Card for the “TikTok Shop product 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 products with strong viral potential on TikTok Shop
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.8 KB

    Origin and licence

    Listed unmodified

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

    Notice

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

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