An automated AI agent skill for deep Amazon category research and product selection using a data-driven five-dimension scoring model.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install amazon-sorftime-research-category-skill
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 amazon-sorftime-research-category-skill 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 Amazon Category Selection & Market Analysis?
The Amazon Category Selection skill is a professional-grade tool designed to automate complex market research and product evaluation workflows. By leveraging Openclaw Skills, this agent performs deep-dive analysis of Amazon categories across global marketplaces including the US, UK, Germany, and Japan. It utilizes a sophisticated five-dimension scoring model to evaluate market size, growth potential, competitive intensity, entry barriers, and profit margins, providing developers and sellers with a clear roadmap for product viability.
This skill eliminates the manual drudgery of data scraping and synthesis by integrating directly with the Sorftime MCP API. It handles everything from category NodeID discovery to generating multi-format outputs like Markdown reports, Excel spreadsheets, and interactive HTML dashboards. Whether you are identifying high-growth niches or comparing procurement costs on 1688, this skill provides the technical framework to make data-backed e-commerce decisions.
Amazon Category Selection & Market Analysis Use Cases
- Conducting automated market research for specific Amazon product categories.
- Identifying high-growth niche markets with low competition using weighted scoring.
- Comparing Amazon retail performance with 1688 wholesale procurement data.
- Generating executive Markdown analysis reports for stakeholders and product teams.
- Visualizing 25-month historical sales and pricing trends to predict seasonality.
How Amazon Category Selection & Market Analysis Works
- The user triggers the workflow via the /category-selection command or natural language prompts.
- The skill searches for the most relevant Amazon Category NodeID based on the provided search term.
- It fetches a comprehensive category report containing Top 100 products and high-level statistical benchmarks.
- Detailed metadata for top-performing ASINs is retrieved, including monthly sales, revenue, and review counts.
- The system calculates market concentration (HHI/CR3) and applies the five-dimension scoring algorithm.
- Multi-format reports (Markdown, JSON, Excel, HTML) are generated and saved to a timestamped directory.
Amazon Category Selection & Market Analysis Setup
To get started with this skill, ensure your API key is configured. Openclaw Skills in version 4.0 and above can automatically read configurations from your project files.
- Add your Sorftime API key to your
.mcp.jsonfile:
{
"mcpServers": {
"sorftime": {
"url": "https://mcp.sorftime.com?key=YOUR_API_KEY"
}
}
}
- Execute a market analysis directly from your terminal:
# Analyze the 'Sofas' category in the US market
python .claude/skills/category-selection/scripts/workflow.py "Sofas" US 20
Amazon Category Selection & Market Analysis Data Schema & Taxonomy
The skill organizes its output into a structured {Category}_{Site}_{YYYYMMDD} directory. Below is the primary data taxonomy:
| File Type | Purpose | Key Metrics |
|---|---|---|
report.md |
Executive Summary | Scoring, Market Analysis, Recommendations |
data.json |
Decoded API Data | Full product metadata with localized keys |
scores.json |
Quantitative Analysis | Market Size, Growth, Competition, Barrier, Profit |
dashboard.html |
Visual Analytics | ECharts visualizations for sales/price trends |
top_products.json |
Product List | ASIN, Brand, Price, Monthly Sales, Rating |
Amazon Category Selection & Market Analysis Advanced Features
- Multi-marketplace support covering Amazon (US, GB, DE, FR, JP, etc.), TikTok (US, MY, PH), and 1688.
- Automatic encoding repair and Mojibake fix for clean handling of multilingual data.
- Intelligent NodeID discovery with support for fuzzy matching and keyword variations.
- Interactive HTML dashboards with 7 dynamic charts including HHI index and brand share analysis.
- Automated procurement cost analysis via 1688 integration to calculate potential margins.
SKILL.md
Loading
Related Openclaw Skills
gog (Google Workspace CLI)
A comprehensive command-line interface for managing Gmail, Calendar, Drive, Contacts, Sheets, and Docs with OAuth security.
Cubox Integration
A high-efficiency integration for programmatically saving web content and text memos into the Cubox bookmarking service.
Crypto & Stock Market Data (Node.js)
A high-performance Node.js skill for fetching real-time crypto prices, stock quotes, and historical financial charts without external dependencies.
Crypto & Stock Market Data (Node.js)
A high-performance Node.js toolkit for fetching real-time and historical financial data for cryptocurrencies and global stocks without external dependencies.
amazon-analyse
A comprehensive Amazon competitor analysis tool that deconstructs listing logic, keyword strategies, and customer sentiment into actionable reports.
Bright Data Web Research & Scraping Skill
An advanced web research toolkit powered by Bright Data MCP for automated scraping, structured data extraction, and competitive intelligence.
Featured*
