An AI-powered e-commerce research assistant that analyzes top-selling products across major retail platforms and generates interactive visual HTML market reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hot-product-analyzer
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 hot-product-analyzer 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 Hot Product Analyzer?
The Hot Product Analyzer is an advanced AI coding agent skill designed to streamline market research for e-commerce sellers, product managers, and digital marketers. By simply entering a product name or category, the skill automatically scans major Chinese e-commerce platforms (including Taobao, Tmall, JD, Pinduoduo, and Douyin) to aggregate real-time product data.
As one of the most powerful e-commerce intelligence tools in the Openclaw Skills ecosystem, it performs deep multi-dimensional analysis on title keywords, pricing distributions, visual styles, and user reviews. Ultimately, it compiles these insights into a beautifully styled, self-contained interactive HTML report complete with charts and actionable product selection guides.
Hot Product Analyzer Use Cases
- Product Selection & Niche Analysis: Identify high-potential products and under-served price brackets in competitive categories.
- Competitor Title & Keyword Optimization: Analyze high-frequency keywords and structural formulas used by top-selling competitors to improve click-through rates (CTR).
- Pricing Strategy Design: Locate the 'golden price band' where sales volume peaks relative to competitor pricing.
- Visual & Marketing Positioning: Reverse-engineer successful main image layouts, promotional copy, and product selling points.
How Hot Product Analyzer Works
- Multi-Platform Search: The agent executes parallel web searches across Taobao, JD, Pinduoduo, and Douyin to gather raw product listings.
- Feature Extraction: It extracts metadata including product names, actual selling prices, monthly sales volumes, ratings, key selling points, and visual styles.
- Multi-Dimensional Analysis: The skill parses title structures, calculates price-to-sales correlations, classifies selling points (functional vs. emotional), and maps customer review sentiment.
- Pattern Synthesization: It summarizes key operational takeaways such as pricing sweet spots, high-converting copy patterns, and aesthetic trends.
- HTML Report Delivery: Using an asset template and Chart.js, the agent compiles a responsive, single-file interactive visual report containing detailed comparison tables and statistical graphs.
Hot Product Analyzer Setup
To get started with this skill, ensure you have the Openclaw environment configured. Add the Hot Product Analyzer skill directory to your workspace.
Clone the skill repository or download the skill assets:
git clone https://github.com/openclaw/hot-product-analyzer.git
cd hot-product-analyzer
Ensure that the report template is present at the expected location:
mkdir -p assets
cp report_template.html assets/report_template.html
No heavy external databases are required. Make sure your agent has internet access enabled to run search tools. Check out other Openclaw Skills for advanced multi-agent orchestrations.
Hot Product Analyzer Data Schema & Taxonomy
Output File Structure
Generated analysis reports are saved as self-contained HTML files:
| File Path | Description | Format |
|---|---|---|
hot_product_analysis_[category]_[timestamp].html |
The final interactive market research report. | HTML5 (with embedded CSS and Chart.js CDN) |
assets/report_template.html |
The base visual template for generating reports. | HTML |
Analytical Metadata Taxonomy
The extracted product data schema is modeled as follows:
- Product Metadata:
title: Competitor's full listing title.price: Actual selling price (excluding inflated listing tags).sales: Estimated sales volume (standardized across monthly sales, reviews, or group-buy counts).rating: Overall product rating or positive review percentage.
- Keywords: Categorized into high-converting categories (efficacy, scenario, target audience, brand).
- Selling Points: Classified by type (Functional, Emotional, Value-based, Social).
Hot Product Analyzer Advanced Features
- Interactive Chart.js Visualizations: Embeds dynamic price distribution bar charts and keyword occurrence rankings directly in the exported HTML report.
- Platform Metric Normalization: Automatically standardizes diverse platform metrics (such as Taobao monthly sales, JD review counts, and Pinduoduo group-buy tallies) into comparable indicators.
- Anti-Scraping Search Fallbacks: Employs snippet parsing from search engine results when direct e-commerce pages are blocked, ensuring high availability.
- Actionable Strategic Guidelines: Goes beyond pure data by providing structured entry suggestions, target pricing, and promotional advice for new market entrants.
SKILL.md
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