How to Get Started with Transaction product image analysis in Your AI Workflow

Transaction product image analysis is a powerful AI agent skill that extends your assistant with new capabilities. Transaction product image analysis tool. Analyze the distribution and month-on-month changes of characteristics such as category, price band, color, package type, time on the market, etc. of the traded goods. Core capabilities: 1. Category distribution (proportion of women's bags/men's bags/wallets/accessories) 2. Price band distribution (main selling price band, high customer order proportion) 3. Bag type distribution (handheld/crossbody/shoulder/tote, etc.) 4. Color distribution (black/brown/red, etc.) 5. Time to market distribution (new product/current season/... This guide walks you through installing Transaction product image analysis, configuring it for your setup, and running your first commands — so you can start getting value in minutes.

Step-by-Step Guide

1. 1

   Install Transaction product image analysis: npx clawhub@latest --dir ~/.claude/skills install retail-deal-goods-profile-analysis

2. 2

   Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)

3. 3

   Type a natural language request related to finance & investment to trigger Transaction product image analysis

4. 4

   Review the output and refine your prompt for better results

5. 5

   Combine Transaction product image analysis with other skills to build multi-step workflows

Example Prompts

Copy these prompts and use them with your AI agent after installing Transaction product image analysis

More Use Cases for Transaction product image analysis