shopify-custom-data

Manage Shopify Metafields and Metaobjects via TOML schemas and GraphQL APIs.

Updated Feb 17, 2026
One-click install
npx skills add https://github.com/EsellersEG/meezy-integration --skill shopify-custom-data-esellerseg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: shopify-custom-data
Source: https://github.com/EsellersEG/meezy-integration/tree/main/.agents/skills/shopify-custom-data
Command: npx skills add https://github.com/EsellersEG/meezy-integration --skill shopify-custom-data-esellerseg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the complexity of managing custom data in Shopify by providing a standardized, version-controlled approach to defining and accessing Metafields and Metaobjects.

Core Features & Use Cases

  • Schema Definition: Use TOML to define Metafields and Metaobjects directly in your app configuration for type-safe, auto-installed schemas.
  • API Integration: Provides standardized GraphQL patterns for reading and writing custom data via Admin and Storefront APIs.
  • Use Case: If you need to add a custom care guide to products or create a bespoke author profile system, this skill ensures you follow Shopify best practices for data modeling and retrieval.

Quick Start

Use the shopify-custom-data skill to define a new product metafield for a custom care guide and demonstrate how to write its value using the Admin API.

Frequently Asked Questions about shopify-custom-data

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I define Shopify metafields and metaobjects using TOML?

You can define Shopify metafields and metaobjects by writing TOML-based schema definitions directly in your app configuration. This approach provides a version-controlled, type-safe method that auto-installs schemas for custom data structures.

What is the best way to manage custom data structures in Shopify?

Managing custom Shopify data structures is best handled through TOML schema definitions and GraphQL API operations. This standardized lifecycle management ensures best practices for data persistence, retrieval, and extension-based access.

How do I read and write Shopify metafields using the GraphQL Admin API?

You read and write Shopify metafields using standardized GraphQL patterns via the Admin and Storefront APIs. This skill provides the necessary API integration to manage app-owned data for products, customers, and orders.

Can I use TOML to configure custom care guides for Shopify products?

Yes, you can use TOML to define a custom care guide metafield for Shopify products. You can then write values to this custom data structure using the Admin API.

Does this approach support app-owned data modeling for Shopify customers and orders?

Yes, this approach supports app-owned data modeling for Shopify customers and orders. It manages the lifecycle of metafields and metaobjects to ensure proper data persistence and retrieval within the Shopify ecosystem.

Why use TOML schema definitions for Shopify metaobjects instead of manual API configuration?

Using TOML schema definitions for Shopify metaobjects provides a version-controlled, type-safe approach that auto-installs schemas. This avoids the complexity and potential inconsistencies of manual API configuration for custom data.