building-storefronts

medusajs/medusa-agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/medusajs/medusa-agent-skills --skill building-storefronts
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summary

SDK-first frontend integration for Medusa storefronts with React Query patterns and critical API calling rules.

  • Always use the Medusa JS SDK for all API requests—never use regular fetch(), as it lacks required headers (publishable API key for store routes, auth for admin routes)
  • Pass plain JavaScript objects to SDK methods; never use JSON.stringify() on body parameters, as the SDK handles serialization automatically
  • Use useQuery for GET requests and useMutation for POST/DELETE reques
skill.md

Medusa Storefront Development

Frontend integration guide for building storefronts with Medusa. Covers SDK usage, React Query patterns, and calling custom API routes.

When to Apply

Load this skill for ANY storefront development task, including:

  • Calling custom Medusa API routes from the storefront
  • Integrating Medusa SDK in frontend applications
  • Using React Query for data fetching
  • Implementing mutations with optimistic updates
  • Error handling and cache invalidation

Also load building-with-medusa when: Building the backend API routes that the storefront calls

CRITICAL: Load Reference Files When Needed

The quick reference below is NOT sufficient for implementation. You MUST load the reference file before writing storefront integration code.

Load this reference when implementing storefront features:

  • Calling API routes? → MUST load references/frontend-integration.md first
  • Using SDK? → MUST load references/frontend-integration.md first
  • Implementing React Query? → MUST load references/frontend-integration.md first

Rule Categories by Priority

Priority Category Impact Prefix
1 SDK Usage CRITICAL sdk-
2 React Query Patterns HIGH query-
3 Data Display HIGH (includes CRITICAL price rule) display-
4 Error Handling MEDIUM error-

Quick Reference

1. SDK Usage (CRITICAL)

  • sdk-always-use - ALWAYS use the Medusa JS SDK for ALL API requests - NEVER use regular fetch()
  • sdk-existing-methods - For built-in endpoints, use existing SDK methods (sdk.store.product.list(), sdk.admin.order.retrieve())
  • sdk-client-fetch - For custom API routes, use sdk.client.fetch()
  • sdk-required-headers - SDK automatically adds required headers (publishable API key for store, auth for admin) - regular fetch() missing these headers causes errors
  • sdk-no-json-stringify - NEVER use JSON.stringify() on body - SDK handles serialization automatically
  • sdk-plain-objects - Pass plain JavaScript objects to body, not strings
  • sdk-locate-first - Always locate where SDK is instantiated in the project before using it

2. React Query Patterns (HIGH)

  • query-use-query - Use useQuery for GET requests (data fetching)
  • query-use-mutation - Use useMutation for POST/DELETE requests (mutations)
  • query-invalidate - Invalidate queries in onSuccess to refresh data after mutations
  • query-keys-hierarchical - Structure query keys hierarchically for effective cache management
  • query-loading-states - Always handle isLoading, isPending, isError states

3. Data Display (HIGH)

  • display-price-format - CRITICAL: Prices from Medusa are stored as-is ($49.99 = 49.99, NOT in cents). Display them directly - NEVER divide by 100

4. Error Handling (MEDIUM)

  • error-on-error - Implement onError callback in mutations to handle failures
  • error-display - Show error messages to users when mutations fail
  • error-rollback - Use optimistic updates with rollback on error for better UX

Critical SDK Pattern

ALWAYS pass plain objects to the SDK - NEVER use JSON.stringify():

// ✅ CORRECT - Plain object
await sdk.client.fetch("/store/reviews", {
  method: "POST",
  body: {
    product_id: "prod_123",
    rating: 5,
  }
})

// ❌ WRONG - JSON.stringify breaks the request
await sdk.client.fetch("/store/reviews", {
  method: "POST",
  body: JSON.stringify({  // ❌ DON'T DO THIS!
    product_id: "prod_123",
    rating: 5,
  })
})

Why this matters:

  • The SDK handles JSON serialization automatically
  • Using JSON.stringify() will double-serialize and break the request
  • The server won't be able to parse the body

Common Mistakes Checklist

Before implementing, verify you're NOT doing these:

SDK Usage:

  • Using regular fetch() instead of the Medusa JS SDK (causes missing header errors)
  • Not using existing SDK methods for built-in endpoints (e.g., using sdk.client.fetch("/store/products") instead of sdk.store.product.list())
  • Using JSON.stringify() on the body parameter
  • Manually setting Content-Type headers (SDK adds them)
  • Hardcoding SDK import paths (locate in project first)
  • Not using sdk.client.fetch() for custom routes

React Query:

  • Not invalidating queries after mutations
  • Using flat query keys instead of hierarchical
  • Not handling loading and error states
  • Forgetting to disable buttons during mutations (isPending)

Data Display:

  • CRITICAL: Dividing prices by 100 when displaying (prices are stored as-is: $49.99 = 49.99, NOT in cents)

Error Handling:

  • Not implementing onError callbacks
  • Not showing error messages to users
  • Not handling network failures gracefully

How to Use

For detailed patterns and examples, load reference file:

references/frontend-integration.md - SDK usage, React Query patterns, API integration

The reference file contains:

  • Step-by-step SDK integration patterns
  • Complete React Query examples
  • Correct vs incorrect code examples
  • Query key best practices
  • Optimistic update patterns
  • Error handling strategies

When to Use MedusaDocs MCP Server

Use this skill for (PRIMARY SOURCE):

  • How to call custom API routes from storefront
  • SDK usage patterns (sdk.client.fetch)
  • React Query integration patterns
  • Common mistakes and anti-patterns

Use MedusaDocs MCP server for (SECONDARY SOURCE):

  • Built-in SDK methods (sdk.admin., sdk.store.)
  • Official Medusa SDK API reference
  • Framework-specific configuration options

Why skills come first:

  • Skills contain critical patterns like "don't use JSON.stringify" that MCP doesn't emphasize
  • Skills show correct vs incorrect patterns; MCP shows what's possible
  • Planning requires understanding patterns, not just API reference

Integration with Backend

⚠️ CRITICAL: ALWAYS use the Medusa JS SDK - NEVER use regular fetch()

When building features that span backend and frontend:

  1. Backend (building-with-medusa skill): Module → Workflow → API Route
  2. Storefront (this skill): SDK → React Query → UI Components
  3. Connection:
    • Built-in endpoints: Use existing SDK methods (sdk.store.product.list())
    • Custom API routes: Use sdk.client.fetch("/store/my-route")
    • NEVER use regular fetch() - missing publishable API key causes errors

Why the SDK is required:

  • Store routes need x-publishable-api-key header
  • Admin routes need Authorization and session headers
  • SDK handles all required headers automatically
  • Regular fetch() without headers → authentication/authorization errors

See building-with-medusa for backend API route patterns.

how to use building-storefronts

How to use building-storefronts on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add building-storefronts
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/medusajs/medusa-agent-skills --skill building-storefronts

The skills CLI fetches building-storefronts from GitHub repository medusajs/medusa-agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/building-storefronts

Reload or restart Cursor to activate building-storefronts. Access the skill through slash commands (e.g., /building-storefronts) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.865 reviews
  • Arjun Brown· Dec 20, 2024

    building-storefronts is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Nia Ghosh· Dec 20, 2024

    Solid pick for teams standardizing on skills: building-storefronts is focused, and the summary matches what you get after install.

  • Chaitanya Patil· Dec 12, 2024

    Keeps context tight: building-storefronts is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Naina White· Dec 8, 2024

    building-storefronts has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Arya Sharma· Nov 27, 2024

    Keeps context tight: building-storefronts is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Kofi Thomas· Nov 23, 2024

    We added building-storefronts from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Soo Zhang· Nov 19, 2024

    building-storefronts fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Naina Anderson· Nov 11, 2024

    Solid pick for teams standardizing on skills: building-storefronts is focused, and the summary matches what you get after install.

  • Mia Mensah· Nov 11, 2024

    building-storefronts is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Piyush G· Nov 3, 2024

    building-storefronts has been reliable in day-to-day use. Documentation quality is above average for community skills.

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