Skill

domain-ecommerce:product-catalog

Product catalog design for e-commerce: headless platforms (Shopify, Medusa, Saleor, commercetools, Vendure), PIM integration (Akeneo, Pimcore, Salsify), data modeling (products, variants, attributes, categories, collections), GS1/GTIN barcodes, configurable/bundled products, dynamic pricing, reviews and ratings (Bazaarvoice, Yotpo), feed syndication (Google Shopping, Facebook Catalog), schema.org Product markup, tax calculation (Avalara, TaxJar), multi-language/localization, catalog search indexing, and image/media management.

Install

npx claudepluginhub rnavarych/alpha-engineer --plugin domain-ecommerce

Tool Access

This skill is limited to using the following tools:

ReadGrepGlobBash

Preview

- Designing product and variant data models (EAV, JSON attributes, option combinations)

Supporting Assets

references/data-modeling-platforms.mdreferences/feeds-seo-localization-media.mdreferences/pim-pricing-reviews.md

SKILL.md

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Stats

Parent Repo Stars9

Parent Repo Forks0

Last CommitMar 3, 2026

Actions

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domain-ecommerce:product-catalog

When to use

Designing product and variant data models (EAV, JSON attributes, option combinations)

Integrating or evaluating headless commerce catalog APIs (Shopify, Saleor, commercetools, Vendure, Medusa)

Connecting a PIM system (Akeneo, Pimcore, Salsify) as master product data source

Building a pricing engine with dynamic rules, customer groups, or B2B contract pricing

Implementing or replacing product reviews and ratings (Bazaarvoice, Yotpo, or custom)

Generating and maintaining product feeds for Google Shopping, Meta Catalog, or Amazon

Adding schema.org markup, localizing catalog content, or optimizing product image delivery

Core principles

Product and variant are separate entities — shared data on product, purchasable specifics (SKU, price, stock) on variant

PIM is master, commerce platform is transactional — sync PIM → platform; never let the platform own the canonical product record

Dynamic pricing needs floors and ceilings — algorithmic rules without bounds will eventually misprice at 3 AM on a holiday

Feed freshness directly impacts ad spend ROI — stale price or stock in Google Shopping burns budget on unavailable products

Schema.org data must match visible page content — mismatches trigger manual Google reviews and rich result loss

Reference Files

references/data-modeling-platforms.md — product/variant/attribute/category modeling, GS1/GTIN standards, Shopify/Medusa/Saleor/commercetools/Vendure catalog capabilities

references/pim-pricing-reviews.md — Akeneo, Pimcore, Salsify integration patterns; pricing engine types and dynamic pricing rules; Bazaarvoice, Yotpo, and custom reviews implementation

references/feeds-seo-localization-media.md — Google Shopping, Meta Catalog, Amazon feed specs and architecture; schema.org Product markup; multi-language localization; search indexing; image/media management

Product Catalog

When to use

Designing product and variant data models (EAV, JSON attributes, option combinations)
Integrating or evaluating headless commerce catalog APIs (Shopify, Saleor, commercetools, Vendure, Medusa)
Connecting a PIM system (Akeneo, Pimcore, Salsify) as master product data source
Building a pricing engine with dynamic rules, customer groups, or B2B contract pricing
Implementing or replacing product reviews and ratings (Bazaarvoice, Yotpo, or custom)
Generating and maintaining product feeds for Google Shopping, Meta Catalog, or Amazon
Adding schema.org markup, localizing catalog content, or optimizing product image delivery

Core principles

Product and variant are separate entities — shared data on product, purchasable specifics (SKU, price, stock) on variant
PIM is master, commerce platform is transactional — sync PIM → platform; never let the platform own the canonical product record
Dynamic pricing needs floors and ceilings — algorithmic rules without bounds will eventually misprice at 3 AM on a holiday
Feed freshness directly impacts ad spend ROI — stale price or stock in Google Shopping burns budget on unavailable products
Schema.org data must match visible page content — mismatches trigger manual Google reviews and rich result loss

Reference Files

references/data-modeling-platforms.md — product/variant/attribute/category modeling, GS1/GTIN standards, Shopify/Medusa/Saleor/commercetools/Vendure catalog capabilities
references/pim-pricing-reviews.md — Akeneo, Pimcore, Salsify integration patterns; pricing engine types and dynamic pricing rules; Bazaarvoice, Yotpo, and custom reviews implementation
references/feeds-seo-localization-media.md — Google Shopping, Meta Catalog, Amazon feed specs and architecture; schema.org Product markup; multi-language localization; search indexing; image/media management