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data-creation

Official

Generate realistic catalog item import payloads

Product & Management#catalog import#sample data generation#PIM mapping#json:itemData#variant SKUs#folder locations#spreadsheet import
AuthorCrystallizeAPI
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill removes the manual effort of creating and formatting large batches of realistic Crystallize PIM catalog items by generating the exact json:itemData payload the item-import grid expects.

Core Features & Use Cases

  • Bulk sample/demo item generation: Create 5–10 demo items from scratch or generate one item per provided spreadsheet row.
  • Correct shape mapping: Transform user-supplied data into component values that match the target shape’s types, options, units, and constraints.
  • Folder-aware placement: Assign item locations using existing folder paths, and intentionally flag new paths that must be created via information-architecture.

Quick Start

Ask the AI to generate json:itemData for your product shape using your sample dataset and include the correct folder locations and required fields (sku, price, stock).

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: data-creation
Download link: https://github.com/CrystallizeAPI/ai/archive/main.zip#data-creation

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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