An automated data intelligence skill that transforms raw e-commerce product lists (CSV/Excel) into interactive HTML market insight reports across six analytical dimensions.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install product-table-analyzer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install product-table-analyzer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Product Table Analyzer is a powerful, locally executed analytical agent skill built to help e-commerce operators, merchandisers, and digital marketers make data-driven product selection decisions. By utilizing this solution from the Openclaw Skills library, users can easily drop raw data sheets exported from major e-commerce platforms or intelligence tools directly into their AI coding agent and watch it parse, categorize, and visualize complex market structures in seconds.\n\nThis tool handles everything from parsing text columns using advanced Chinese word segmentation to computing concentration metrics like CR4/CR10 and the Herfindahl-Hirschman Index (HHI). Ultimately, it creates a gorgeous, interactive HTML report complete with custom charts and highly organized P0/P1/P2 actionable priority recommendations, making it an indispensable asset in any modern seller's toolkit.
jieba (for Chinese tokenization), and openpyxl (for Excel parsing) are installed locally, installing missing libraries automatically.\n3. Local Algorithmic Processing: It parses the table, mapping columns intelligently and executing 6-dimensional algorithms to evaluate categories, title word frequencies, pricing distributions, seller concentration, and competition index.\n4. Structured JSON Generation: The analytical engine organizes outputs into structured metadata containing exact calculations and e-commerce indicators.\n5. Responsive HTML Generation: An interactive single-page HTML report is built dynamically containing interactive Chart.js charts, toggles, responsive design, and localized labels.\n6. Result Presentation: The agent saves the report to your local workspace directory and displays a textual summary highlighting key competitive findings and top priority recommendations.Ensure you have Python installed and configure your environment. This skill automatically handles dependency resolution upon activation, but you can manually set it up by following these steps:\n\nbash\n# Install the required Python packages manually\npip install jieba openpyxl\n\n# Or run the installation via python to ensure correct environment binding\npython -m pip install jieba openpyxl\n\n# Verify your installation\npython -c "import jieba; import openpyxl; print('OK')"\n\n\nNo API keys or internet connections are required as all analysis processes locally on your system, maintaining complete data privacy within the ecosystem of Openclaw Skills.
The tool expects a structured e-commerce data format to yield maximum insight. It analyzes your table column schemas and outputs a comprehensive interactive HTML file.\n\n### Input Column Requirements\nAt a minimum, the input sheet must contain Product Name (商品名) and Price (价格) columns. Including optional columns significantly improves report depth:\n\n| Column Name (CN/EN) | Requirement | Impact on Report |\n| :--- | :--- | :--- |\n| Product Name / 商品名 | Required | Title word frequency and selling point categorization |\n| Price / 价格 | Required | Price band histogram, average prices, and price-volume maps |\n| Sales / 销量 | Optional | Average sales per category, price-volume correlation charts |\n| Store / 店铺 | Optional | CR4/CR10 concentration metrics, seller competitor matrix |\n| Category / 类目 | Optional | Category market share pie charts, category price comparisons |\n\n### Generated Outputs\nEvery successful execution generates a self-contained, responsive HTML file saved locally:\n- Path: {workspace}/market_insight_report_{timestamp}.html\n- Dependencies: Loads Chart.js dynamically from a CDN for interactive data visualization.
Loading
An AI-powered chain store inspection assistant providing end-to-end management from planning and 10-dimensional scoring to interactive reporting and marketing optimizations.

An interactive decision-support and workflow automation tool for street vending entrepreneurs, utilizing real-world data engines.

A local, structured financial co-pilot implementing the INVEST framework to calculate safe position sizing, enforce risk compliance rules, and output rich visualization dashboards.

An expert AI fishing advisor that analyzes meteorological, tidal, and environmental data to generate optimized strategies for float and lure fishing.

An AI-powered metadata optimizer designed to refine Skill names, descriptions, and triggers to maximize agent discoverability across various hub platforms.

A dedicated assistant workflow helper designed to debug, secure, and build reliable weather-style automated tasks for local-friendly AI agents.








































