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TravisLeeeeee
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Six-Dimension E-Commerce Product Scout

Scrape e-commerce listing data and compute profit, risk, and opportunity rankings.

110|18|Updated Mar 25, 2026
Search Tags:#e-commerce#competitor analysis#risk scoring#product research#go no-go#profit modeling#marketplace analytics
One-click install
npx skills add https://github.com/TravisLeeeeee/awesome-openclaw-personas --skill six-dimension-e-commerce-product-scout
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Six-Dimension E-Commerce Product Scout
Source: https://github.com/TravisLeeeeee/awesome-openclaw-personas/tree/main/personas/ecommerce/e-commerce-product-scout
Command: npx skills add https://github.com/TravisLeeeeee/awesome-openclaw-personas --skill six-dimension-e-commerce-product-scout

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

It solves the problem of making e-commerce product decisions with incomplete or unquantified research by computing real profit and risk and turning it into a clear verdict.

Core Features & Use Cases

  • Six-dimension scoring (0-100) + weighted evaluation across demand, competition, margin, operational difficulty, risk, and opportunity window to produce a Go/Caution/No-Go recommendation.
  • Profit calculation model that estimates gross profit and margin from selling price, platform fees, logistics/FBA, ad cost, returns, and sourcing cost references.
  • Compliance and risk screening that flags likely IP risk, negative review risk, certification needs (e.g., CE/FDA/CPC), and supply-chain fragility, with structured exception handling.
  • Use case: When considering a new cross-border product keyword on Amazon or TikTok Shop, you can analyze top listings, validate data completeness, score opportunities, and generate a 5-sheet Excel deliverable plus a Markdown decision report.

Quick Start

Use the e-commerce product scout to analyze keyword "yoga mat" on Amazon US with a top N of 50, then return a six-dimension score, estimated profit margin, risk level, and a Go/Caution/No-Go decision.

Frequently Asked Questions about Six-Dimension E-Commerce Product Scout

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I make a Go/No-Go decision for cross-border e-commerce product research?▼

E-commerce profit modeling calculates estimated gross profit and margin by deducting platform fees, logistics/FBA, ad cost, returns, and sourcing cost references from the selling price, allowing you to validate product viability before listing.

Can I compare multiple product keywords for Amazon or TikTok Shop at once?▼

Yes, you can compare multiple product keywords for Amazon or TikTok Shop at once using multi-keyword batch comparisons, which scrape top listing data and compute relative profit, risk, and opportunity rankings for each candidate keyword.

What e-commerce compliance and risk screening should I do before sourcing a product?▼

E-commerce compliance and risk screening flags likely IP risk, negative review risk, certification needs like CE/FDA/CPC, and supply-chain fragility, providing structured exception handling to prevent listing violations.

How do I generate an Excel report from marketplace analytics and competitor analysis?▼

You can generate an Excel report from marketplace analytics and competitor analysis by running standardized data cleaning on scraped listings, which automatically produces a 5-sheet Excel deliverable alongside a Markdown decision verdict.

Does e-commerce product research work without manual data entry for top N listings?▼

Yes, e-commerce product research works without manual data entry by utilizing browser automation and scraping to extract top N listing data directly from major marketplaces, validating data completeness before computing the final six-dimension score.

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