Agent skill

Tiktok Shop Product Research

by nexscope-ai in nexscope-ai/eCommerce-Skills

Product research for TikTok Shop — viral potential scoring, creator demand, category analysis

MITAuto-check passed

Install Tiktok Shop Product Research

skills CLI
$ npx skills add nexscope-ai/eCommerce-Skills --skill tiktok-shop-product-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install nexscope-ai/eCommerce-Skills tiktok-shop-product-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tiktok-shop-product-research .claude/skills/tiktok-shop-product-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
tiktok-shop-product-research
GitHub stars
1.1k
Token cost
~452 tokens
SKILL.md length
174 words
Files
1
Skills in repo
114
Repo updated
First seen
Licence
MIT

At a glance

Product research for TikTok Shop — viral potential scoring, creator demand, category analysis

  • SKILL.md covers Status, Capabilities, Install and Usage, plus 2 more sections
  • Calls npx

What it does

Tiktok Shop Product Research is an agent skill from nexscope-ai/eCommerce-Skills. Product research for TikTok Shop — viral potential scoring, creator demand, category analysis

Its SKILL.md is about 450 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with TikTok. The repository describes itself as: E-commerce skills for AI agents — product research, marketing automation, supply chain optimization, and business analytics for online sellers across Amazon, Shopify, Etsy… The licence is MIT.

Example prompts

  • “/tiktok-shop-product-research”

Requirements

  • Node.js

What it can do on your machine

Read from SKILL.md and the folder at commit ee0fb29. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • nexscope.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Tiktok Shop Product Research loads about 452 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 174 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~452

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from nexscope-ai/eCommerce-Skills at commit ee0fb29, republished under its MIT licence (© nexscope-ai). 174 words, ~452 tokens.

Download SKILL.mdSave it as .claude/skills/tiktok-shop-product-research/SKILL.md (or your agent's skills folder).
name
tiktok-shop-product-research
description
Product research for TikTok Shop — viral potential scoring, creator demand, category analysis

TikTok Shop Product Research

Product research for TikTok Shop — viral potential scoring, creator demand, category analysis.

Status

🔶 Beta — Expert guidance and actionable frameworks for TikTok Shop sellers.

Capabilities

  • Analyze your current TikTok Shop setup and identify optimization opportunities
  • Provide data-driven recommendations based on platform best practices
  • Generate step-by-step implementation plans tailored to your business
  • Compare strategies, tools, and approaches with pros/cons analysis

Install

bash
npx skills add nexscope-ai/eCommerce-Skills --skill tiktok-shop-product-research -g

Usage

After installation, ask your AI assistant about TikTok Shop Product Research topics. Example prompts:

  • "Help me with tiktok shop product research for my TikTok Shop"
  • "What are the best practices for tiktok shop product research?"
  • "Audit my current setup and suggest improvements"
  • "Create a step-by-step implementation plan"

Output

Structured analysis and recommendations including:

  • Current state assessment
  • Priority action items (quick wins → long-term)
  • Tool and strategy recommendations
  • Implementation timeline
  • KPIs to track

Limitations

  • Provides strategic guidance, not direct TikTok API integration
  • Recommendations based on general best practices — validate with your specific shop data
  • For real-time analytics and automated optimization, check out Nexscope

Built by Nexscope — AI-powered e-commerce tools for sellers worldwide.

© nexscope-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in tiktok-shop-product-research of nexscope-ai/eCommerce-Skills.

Open the folder on GitHubat commit ee0fb29

Compare with similar skills

Tiktok Shop Product Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Tiktok Shop Product Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tiktok Shop Product Research this skillnexscope-ai/eCommerce-Skills1.1k—~452Automated safety check: PassMIT
Socialcoreyhaines31/marketingskills54k4 repos~4.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT
Social Contentfreekmurze/dotfiles1k23 repos~2.1kAutomated safety check: PassNone
Video Transcribewendy7756/AI-Video-Transcriber3.3k—~937Automated safety check: NotesApache-2.0
Last30days CnJesseovo/last30days-skill-cn1.9k—~2.4kAutomated safety check: NotesMIT

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Works with

Questions about Tiktok Shop Product Research

What does Tiktok Shop Product Research do?

Product research for TikTok Shop — viral potential scoring, creator demand, category analysis. Tiktok Shop Product Research is an agent skill from nexscope-ai/eCommerce-Skills.

How do I install Tiktok Shop Product Research in Claude Code?

Run `npx skills add nexscope-ai/eCommerce-Skills --skill tiktok-shop-product-research -a claude-code`. Or copy the skill folder (tiktok-shop-product-research in nexscope-ai/eCommerce-Skills) into .claude/skills/tiktok-shop-product-research in your project. Claude Code loads it when a task matches its description.

How do I install Tiktok Shop Product Research in Codex?

Run `npx skills add nexscope-ai/eCommerce-Skills --skill tiktok-shop-product-research -a codex`. Or copy the skill folder (tiktok-shop-product-research in nexscope-ai/eCommerce-Skills) into .agents/skills/tiktok-shop-product-research in your project. Codex loads it when a task matches its description.

Can I use Tiktok Shop Product Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nexscope-ai/eCommerce-Skills --skill tiktok-shop-product-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tiktok-shop-product-research, .gemini/skills/tiktok-shop-product-research, .github/skills/tiktok-shop-product-research and .opencode/skills/tiktok-shop-product-research in your project.

What does Tiktok Shop Product Research need to run?

Going by SKILL.md and its folder, Tiktok Shop Product Research needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Tiktok Shop Product Research access the network?

SKILL.md names 1 domain. As links in the text: nexscope.ai. This is read from the text; nothing was executed.

Is Tiktok Shop Product Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Tiktok Shop Product Research use?

Tiktok Shop Product Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tiktok Shop Product Research use?

About 452 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Tiktok Shop Product Research?

Skills that share tags, products or a category with Tiktok Shop Product Research: Social (coreyhaines31/marketingskills, 54k stars), Last30days (mvanhorn/last30days-skill, 64k stars), Social Content (freekmurze/dotfiles, 1k stars) and Video Transcribe (wendy7756/AI-Video-Transcriber, 3.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tiktok Shop Product Research?

nexscope-ai (a GitHub organization) maintains it in nexscope-ai/eCommerce-Skills, which has 1,109 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on August 26, 2026.

Source: nexscope-ai/eCommerce-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.