What is the Decomposer pattern in this skill?

The Decomposer pattern is a standardized method for transforming external platform data (like a Shopify JSON object) into a clean, internal canonical model used by your application.

Which ecommerce platforms are supported?

While the patterns are platform-agnostic, the skill includes specific examples and status mapping logic for Shopify, BigCommerce, and WooCommerce.

Why use canonical models for ecommerce?

Canonical models allow your AI agents and core logic to work with a single, predictable data structure regardless of which ecommerce platform the data originated from.

How does the Composer pattern handle external API updates?

The Composer pattern transforms your internal data models back into the specific formats required by external platforms, ensuring all required fields are present and validated.

E-commerce Integration Patterns

Name: E-commerce Integration Patterns
Author: violetio

byvioletio

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E-commerce Solutions

Streamlines ecommerce platform integrations using standardized Decomposer and Composer patterns for unified data mapping.

About

The E-commerce Integrations skill provides a robust framework for managing complex data transformations between external ecommerce platforms and internal canonical models. By utilizing Decomposer patterns to ingest platform data and Composer patterns to export to external APIs, it ensures consistent data handling across Shopify, BigCommerce, and WooCommerce. This skill is essential for developers building AI-powered commerce agents that require reliable, idempotent, and testable integration logic with diverse storefront architectures.

Key Features

Composer patterns for mapping internal models to external platform formats
Standardized status mapping tables for cross-platform consistency
Decomposer patterns for transforming external platform data to canonical models
1 GitHub stars
Integrated unit testing patterns for validation and null-safety
Pure function implementation guidelines for side-effect-free transformations

Use Cases

Automating multi-platform order status synchronization for AI commerce agents
Normalizing product catalogs from multiple sources like Shopify and WooCommerce into a single schema
Building idempotent data pipelines to prevent duplicate entries in external ecommerce systems

About

Key Features

Composer patterns for mapping internal models to external platform formats
Standardized status mapping tables for cross-platform consistency
Decomposer patterns for transforming external platform data to canonical models
1 GitHub stars
Integrated unit testing patterns for validation and null-safety
Pure function implementation guidelines for side-effect-free transformations

Use Cases

Automating multi-platform order status synchronization for AI commerce agents
Normalizing product catalogs from multiple sources like Shopify and WooCommerce into a single schema
Building idempotent data pipelines to prevent duplicate entries in external ecommerce systems