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Clawpify

基于 Shopify GraphQL Admin API 的店铺管理技能,通过 shopify_graphql 工具(来自 MCP 服务或自定义函数)执行 GraphQL 查询与变更,覆盖产品、订单、客户、库存、折扣、履约、退款等资源,内置分页、错误检查与高危操作需用户显式确认的约束,并由 26 篇参考文档详解各资源用法。

alhwyn
alhwyn
热度 98.46
最近更新 2026-05-18 11:58:22
分类:营销依赖:MCP 服务 / 第三方 API应用场景:API 集成 / CRM / 数据处理 / 工作流 ...

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add clawpify
Metadata
name
clawpify
description
Query and manage Shopify stores via GraphQL Admin API. Use for products, orders, customers, inventory, discounts, and all Shopify data operations.
dependencies
[{"Tool":"shopify_graphql (from MCP server or custom function)"}]

Shopify GraphQL Admin API

A comprehensive skill for interacting with Shopify's GraphQL Admin API. This skill enables Claude to query and manage all aspects of Shopify store data.

When to Use This Skill

Use this skill when the user asks about:

  • Products (list, search, create, update, delete)
  • Orders (view, cancel, fulfill)
  • Customers (list, create, update)
  • Inventory (check levels, adjust quantities)
  • Discounts (create codes, manage promotions)
  • Any other Shopify store operations

Critical Operations Requiring Permission

IMPORTANT: Before executing any of the following operations, you MUST ask for explicit user permission:

  • Refunds: Create refunds (permanent financial transactions)
  • Order Cancellations: Cancel orders (may trigger refunds)
  • Gift Card Deactivation: Permanently disable gift cards
  • Inventory Adjustments: Modify stock levels
  • Product Deletions: Permanently remove products
  • Discount Activations: Change pricing for customers

Always show what will be changed and wait for user confirmation.

How to Use

  1. Use the shopify_graphql tool to execute queries
  2. Check for errors (GraphQL issues) and userErrors (validation issues)
  3. Use pagination with first/after for large result sets
  4. Format all IDs as: gid://shopify/Resource/123

Available References

For detailed patterns and examples, refer to the reference documents:

  • products.md - Products and variants management
  • orders.md - Order operations
  • customers.md - Customer management
  • inventory.md - Inventory and locations
  • discounts.md - Discount codes and promotions
  • collections.md - Product collections
  • fulfillments.md - Order fulfillment and shipping
  • refunds.md - Process refunds
  • draft-orders.md - Draft order creation
  • gift-cards.md - Gift card management
  • webhooks.md - Event subscriptions
  • locations.md - Store locations
  • marketing.md - Marketing activities
  • markets.md - Multi-market setup
  • menus.md - Navigation menus
  • metafields.md - Custom data fields
  • pages.md - Store pages
  • blogs.md - Blog management
  • files.md - File uploads
  • shipping.md - Shipping configuration
  • shop.md - Store information
  • subscriptions.md - Subscription management
  • translations.md - Content translations
  • segments.md - Customer segments
  • bulk-operations.md - Bulk data operations

Quick Examples

List Recent Orders

query {
  orders(first: 10, sortKey: CREATED_AT, reverse: true) {
    nodes {
      id
      name
      totalPriceSet {
        shopMoney { amount currencyCode }
      }
      customer { displayName }
    }
  }
}

Search Products

query {
  products(first: 10, query: "title:*shirt* AND status:ACTIVE") {
    nodes {
      id
      title
      status
    }
  }
}

Check Inventory

query GetInventory($id: ID!) {
  inventoryItem(id: $id) {
    id
    inventoryLevels(first: 5) {
      nodes {
        quantities(names: ["available"]) {
          name
          quantity
        }
        location { name }
      }
    }
  }
}

Error Handling

Always check responses:

  • errors array = GraphQL syntax issues
  • userErrors in mutations = validation problems

Best Practices

  1. Request only needed fields to optimize response size
  2. Use pagination for lists that may grow
  3. Check userErrors in all mutation responses
  4. Ask permission before dangerous operations
  5. Format results clearly for the user
  6. Use bulk operations for large data exports/imports
  7. Handle rate limits with exponential backoff