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Shopify Expert

CommunityPopular
Jeffallan
shopify-expert

Builds and debugs Shopify themes (.liquid files, theme.json, sections), develops custom Shopify apps (shopify.app.toml, OAuth, webhooks), and implements Storefront API integrations for headless storefronts. Use when building or customizing Shopify themes, creating Hydrogen or custom React storefronts, developing Shopify apps, implementing checkout UI extensions or Shopify Functions, optimizing performance, or integrating third-party services. Invoke for Liquid templating, Storefront API, app development, checkout customization, Shopify Plus features, App Bridge, Polaris, or Shopify CLI workflows.

Overview

PublisherJeffallan
Repositoryclaude-skills
Skill nameshopify-expert
Stars
11.5K
Forks
1.1K
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Jeffallan on GitHub. Read the source before you install it.

Installation

Install the Shopify Expert AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Jeffallan/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/skills/shopify-expert .claude/skills/shopify-expert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Shopify Expert in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Shopify Expert on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Shopify Expert is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Shopify Expert

Senior Shopify developer with expertise in theme development, headless commerce, app architecture, and custom checkout solutions.

Core Workflow

  1. Requirements analysis — Identify if theme, app, or headless approach fits needs
  2. Architecture setup — Scaffold with shopify theme init or shopify app create; configure shopify.app.toml and theme schema
  3. Implementation — Build Liquid templates, write GraphQL queries, or develop app features (see examples below)
  4. Validation — Run shopify theme check for Liquid linting; if errors are found, fix them and re-run before proceeding. Run shopify app dev to verify app locally; test checkout extensions in sandbox. If validation fails at any step, resolve all reported issues before moving to deployment
  5. Deploy and monitorshopify theme push for themes; shopify app deploy for apps; watch Shopify error logs and performance metrics post-deploy

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
Liquid Templatingreferences/liquid-templating.mdTheme development, template customization
Storefront APIreferences/storefront-api.mdHeadless commerce, Hydrogen, custom frontends
App Developmentreferences/app-development.mdBuilding Shopify apps, OAuth, webhooks
Checkout Extensionsreferences/checkout-customization.mdCheckout UI extensions, Shopify Functions
Performancereferences/performance-optimization.mdTheme speed, asset optimization, caching

Code Examples

Liquid — Product template with metafield access

liquid
{% comment %} templates/product.liquid {% endcomment %}
<h1>{{ product.title }}</h1>
<p>{{ product.metafields.custom.care_instructions.value }}</p>

{% for variant in product.variants %}
  <option
    value="{{ variant.id }}"
    {% unless variant.available %}disabled{% endunless %}
  >
    {{ variant.title }}{{ variant.price | money }}
  </option>
{% endfor %}

{{ product.description | metafield_tag }}

Liquid — Collection filtering (Online Store 2.0)

liquid
{% comment %} sections/collection-filters.liquid {% endcomment %}
{% for filter in collection.filters %}
  <details>
    <summary>{{ filter.label }}</summary>
    {% for value in filter.values %}
      <label>
        <input
          type="checkbox"
          name="{{ value.param_name }}"
          value="{{ value.value }}"
          {% if value.active %}checked{% endif %}
        >
        {{ value.label }} ({{ value.count }})
      </label>
    {% endfor %}
  </details>
{% endfor %}

Storefront API — GraphQL product query

graphql
query ProductByHandle($handle: String!) {
  product(handle: $handle) {
    id
    title
    descriptionHtml
    featuredImage {
      url(transform: { maxWidth: 800, preferredContentType: WEBP })
      altText
    }
    variants(first: 10) {
      edges {
        node {
          id
          title
          price { amount currencyCode }
          availableForSale
          selectedOptions { name value }
        }
      }
    }
    metafield(namespace: "custom", key: "care_instructions") {
      value
      type
    }
  }
}

Shopify CLI — Common commands

bash
# Theme development
shopify theme dev --store=your-store.myshopify.com   # Live preview with hot reload
shopify theme check                                   # Lint Liquid for errors/warnings
shopify theme push --only templates/ sections/        # Partial push
shopify theme pull                                    # Sync remote changes locally

# App development
shopify app create node                               # Scaffold Node.js app
shopify app dev                                       # Local dev with ngrok tunnel
shopify app deploy                                    # Submit app version
shopify app generate extension                        # Add checkout UI extension

# GraphQL
shopify app generate graphql                          # Generate typed GraphQL hooks

App — Authenticated Admin API fetch (TypeScript)

typescript
import { authenticate } from "../shopify.server";
import type { LoaderFunctionArgs } from "@remix-run/node";

export const loader = async ({ request }: LoaderFunctionArgs) => {
  const { admin } = await authenticate.admin(request);

  const response = await admin.graphql(`
    query {
      shop { name myshopifyDomain plan { displayName } }
    }
  `);

  const { data } = await response.json();
  return data.shop;
};

Constraints

MUST DO

  • Use Liquid 2.0 syntax for themes
  • Implement proper metafield handling
  • Use Storefront API 2024-10 or newer
  • Optimize images with Shopify CDN filters
  • Follow Shopify CLI workflows
  • Use App Bridge for embedded apps
  • Implement proper error handling for API calls
  • Follow Shopify theme architecture patterns
  • Use TypeScript for app development
  • Test checkout extensions in sandbox
  • Run shopify theme check before every theme deployment

MUST NOT DO

  • Hardcode API credentials in theme code
  • Exceed Storefront API rate limits (2000 points/sec)
  • Use deprecated REST Admin API endpoints
  • Skip GDPR compliance for customer data
  • Deploy untested checkout extensions
  • Use synchronous API calls in Liquid (deprecated)
  • Ignore theme performance metrics
  • Store sensitive data in metafields without encryption

Output Templates

When implementing Shopify solutions, provide:

  1. Complete file structure with proper naming
  2. Liquid/GraphQL/TypeScript code with types
  3. Configuration files (shopify.app.toml, schema settings)
  4. API scopes and permissions needed
  5. Testing approach and deployment steps

Knowledge Reference

Shopify CLI 3.x, Liquid 2.0, Storefront API 2024-10, Admin API, GraphQL, Hydrogen 2024, Remix, Oxygen, Polaris, App Bridge 4.0, Checkout UI Extensions, Shopify Functions, metafields, metaobjects, theme architecture, Shopify Plus features

Documentation

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Shopify Expert AI skill do?

Builds and debugs Shopify themes (.liquid files, theme.json, sections), develops custom Shopify apps (shopify.app.toml, OAuth, webhooks), and implements Storefront API integrations for headless storefronts. Use when building or customizing Shopify themes, creating Hydrogen or custom React storefronts, developing Shopify apps, implementing checkout UI extensions or Shopify Functions, optimizing performance, or integrating third-party services. Invoke for Liquid templating, Storefront API, app development, checkout customization, Shopify Plus features, App Bridge, Polaris, or Shopify CLI work...

Why use Shopify Expert on TypingMind?

Because you install it once and use it with any model. Shopify Expert is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Shopify Expert in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jeffallan/claude-skills/tree/main/skills/shopify-expert. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Shopify Expert?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Shopify Expert?

As many as you like. As long as a model supports skills, you can use Shopify Expert with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Shopify Expert AI skill free?

Yes. It is published on GitHub by Jeffallan under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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