An intelligent AI skill designed to identify high-potential products and analyze market competition across global e-commerce platforms.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ecommerce-product-selector
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ecommerce-product-selector using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is E-commerce Product Selector?
The E-commerce Product Selector is a high-performance analytical tool designed to help e-commerce professionals discover profitable product opportunities through big data. By integrating with Openclaw Skills, this agent evaluates market trends, monitors competitor pricing, and estimates sales volumes across major platforms including Amazon, Taobao, JD.com, and TikTok Shop. It moves beyond intuition, providing users with a data-driven framework for scaling their online business.
This skill specializes in synthesizing complex market signals into actionable insights. It covers everything from emerging category tracking to detailed profit margin calculations, ensuring that sellers can identify gaps in the market before they become over-saturated. By utilizing the Openclaw Skills ecosystem, developers and merchants can automate their product research workflow and maintain a competitive edge in rapidly changing markets.
E-commerce Product Selector Use Cases
- Identifying emerging product trends and niche opportunities for upcoming seasons.
- Conducting deep-dive competitor analysis using specific product URLs to track pricing and sales.
- Filtering products within specific price ranges to find high-margin inventory targets.
- Analyzing search keyword heat and competitive density to optimize SEO and ad spend.
- Calculating potential ROI and net profit for products based on sourcing costs and platform fees.
How E-commerce Product Selector Works
- The user provides a search prompt, category, or competitor URL to the Openclaw Skills interface.
- The skill queries real-time data from supported domestic and international e-commerce platforms.
- It processes the raw data through a multi-dimensional algorithm evaluating market demand, competition levels, and growth trends.
- It calculates financial viability, including gross profit margins and estimated monthly earnings.
- The skill generates a structured Markdown report containing a recommendation index, risk assessment, and operational advice.
E-commerce Product Selector Setup
The E-commerce Product Selector requires no complex global setup to begin basic analysis. However, you can customize platform priority and data freshness through your configuration. This skill is a core part of the Openclaw Skills library.
# Analyze trends for a specific category
select-product "Pet supplies 2026 trends"
# Analyze a specific competitor link
analyze-competitor "https://item.taobao.com/xxx"
# Calculate potential profit margins
calculate-profit --cost 50 --price 128
Optional configuration for platform selection:
{
"skills": {
"entries": {
"ecommerce-product-selector": {
"config": {
"platforms": ["taobao", "jd", "pdd", "douyin", "amazon"],
"cache_ttl": 3600
}
}
}
}
}
E-commerce Product Selector Data Schema & Taxonomy
The skill generates structured analytical reports categorized into four primary dimensions. Use this data to feed into your broader Openclaw Skills workflows:
| Dimension | Metrics Included |
|---|---|
| Market Analysis | Demand Score, Monthly Growth %, Seasonality Index, Target Audience |
| Competition | Competitor Count, Top Seller Concentration, Average Price, Monthly Sales |
| Financials | Suggested Price, Estimated Cost, Gross Profit Margin, ROI Projection |
| Keywords | Primary Keywords, Search Heat (0-10), Competition Difficulty |
E-commerce Product Selector Advanced Features
- Multi-platform support covering both domestic (China) and global (Amazon, Shopee, Lazada) markets.
- Predictive algorithms that identify potential hot-selling items based on historical growth patterns.
- Automated risk assessment identifying potential price wars, product homogenization, or after-sales complexity.
- Detailed operational suggestions including main image strategies and video demonstration recommendations.
- Customizable cache TTL within Openclaw Skills to optimize for either real-time accuracy or processing speed.
SKILL.md
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