Build Ecommerce Storefronts with AI Agent Skills

An ecommerce storefront has essential features to convert visitors into customers and drive sales. You need ecommerce expertise to build a storefront that accomplishes business goals and builds long-term customer loyalty.

Today, Medusa is launching new agent skills that hold the ecommerce and storefront best practices necessary to build a modern storefront with any frontend framework and ecommerce platform. With these agent skills, you can build storefronts from scratch or add standard ecommerce storefront features to your existing storefront using AI agents.

Who Should Use Ecommerce Agent Skills?

Any builder using AI agents for ecommerce development, including Claude Code and other agentic tools, can use these ecommerce agent skills to build or enhance ecommerce storefronts.

These agent skills are framework-agnostic, so you can use them with frontend frameworks like Next.js and TanStack Start, with backend ecommerce platforms like Medusa, or with any other setup you have for your ecommerce store. This makes them ideal for AI-powered commerce storefront development.

Install Ecommerce Agent Skills for Storefronts

To use the ecommerce storefront plugin with Claude Code, run the following commands:

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claude # start claude code
/plugin marketplace add medusajs/medusa-agent-skills
/plugin install ecommerce-storefront@medusa

For other AI agents, such as Cursor, use the skills command to copy the Copy to clipboardstorefront-best-practices skill:

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npx skills add medusajs/medusa-agent-skills
# choose the following skill:
# - storefront-best-practices

How to Use Ecommerce Agent Skills for Storefront Development

Build Storefronts from Scratch with Agent Skills

You can ask an AI agent to build a storefront from scratch using the tech stack you want. For example:

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Build a Next.js ecommerce storefront that uses Medusa as the backend. The storefront should have product listing, product detail, cart, and checkout pages.

AI agents like Claude Code will then load the necessary ecommerce agent skills and reference files to apply ecommerce storefront best practices and build your storefront following proven ecommerce architecture patterns.

Add Features to Existing Storefronts

If you have an existing storefront, you can ask an AI agent to add specific features instead. For example:

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Add a megamenu to the storefront's header that displays product categories and subcategories. The menu should be responsive and work well on mobile devices.

The AI agent will run the necessary ecommerce agent skills and reference files to implement the feature in your storefront using AI-assisted frontend development.

For a list of supported layouts, features, and components, check out the storefront-best-practices reference files.

Example use cases

Example 1: Product Listing Page

Build a product listing page in my storefront with filters for category, price range, and size. Include sorting options and pagination.

Example 2: Checkout Flow

Implement a checkout page in my storefront with shipping address, delivery method selection, and payment. Use the Medusa backend.

Example 3: Navigation Component

Create a responsive navbar with cart indicator, search, and category dropdown in my storefront. Cart should always be visible on mobile.

Example 4: Product Details Page

Build a product detail page with image gallery, variant selection (size/color), add to cart, and related products in my storefront.

Example 5: Homepage Layout

Design a homepage with hero section, featured categories, product slider, and newsletter signup in my storefront.

Pair Ecommerce Agent Skills with the Medusa MCP Server

If you're building an ecommerce storefront for your Medusa backend, we recommend using this plugin with our MCP server. It brings knowledge from the documentation closer to your AI agents, allowing them to check which endpoints to use when building the storefront.

To add the MCP server to Claude Code, run the following command:

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claude mcp add --transport http medusa https://docs.medusajs.com/mcp

Claude Code will then ask the Medusa MCP server questions to ensure it builds the ecommerce storefront accurately.

Start Building with Medusa

If you're new to Medusa, check out the documentation, where you'll get a more in-depth understanding of what Medusa is, the commerce features it provides, and how to deploy Medusa to Cloud.