Use Case
Stop doing repetitive product manager tasks manually. Display pallet analysis lets your AI agent handle them automatically through natural conversation. 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 shows practical examples of using Display pallet analysis to automate common product manager workflows and save hours every week.
Install Display pallet analysis: npx clawhub@latest --dir ~/.claude/skills install retail-store-assortment-analysis
Identify the repetitive product manager tasks you want to automate
Describe the task to your AI in plain English
Display pallet analysis will execute the task and return results directly in the chat
Chain multiple tasks: ask your AI to run a sequence of operations
Copy these prompts and use them with your AI agent after installing Display pallet analysis
Automate my product manager tasks using Display pallet analysis
What repetitive tasks can Display pallet analysis handle for me?
Set up a workflow that runs Display pallet analysis every morning
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.