Use Case
Display pallet analysis is a powerful AI agent skill that extends your assistant with new capabilities. Display pallet analysis tool. Analyze changes in products and trial behavior that lead to customer intentions from a pallet perspective. Core capabilities: 1. Three-funnel cross analysis (displayFunnel display SKU + behaviorFunnel number of trials + customerFunnel customers) 2. Changes in products that cause intention (number of intention-inducing SKUs, proportion of intention-inducing SKUs) 3. Customers' trials of intended products... This guide walks you through installing Display pallet analysis, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Display pallet analysis: npx clawhub@latest --dir ~/.claude/skills install retail-store-assortment-analysis
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to product manager to trigger Display pallet analysis
Review the output and refine your prompt for better results
Combine Display pallet analysis with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Display pallet analysis
Help me get started with Display pallet analysis
What can Display pallet analysis do for my product manager workflow?
Show me an example of using Display pallet analysis
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install retail-store-assortment-analysisOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install retail-store-assortment-analysisβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/retail-store-assortment-analysis/π‘Extract and place the folder at the path above, then restart your agent.