MCP HubMCP Hub
スキル一覧に戻る

customer-lookup

majiayu000
更新日 Yesterday
37 閲覧
58
9
58
GitHubで表示
コミュニケーションai

について

このスキルは、Lemon Squeezy APIを使用してメールアドレスまたは注文番号で顧客データを検索し、購入履歴、サブスクリプション、ライセンスキーを返します。返金処理やアカウント確認などのカスタマーサポート業務向けに設計されています。「find customer」や「check order」などのフレーズで起動し、BashおよびReadツールを使用します。

クイックインストール

Claude Code

推奨
プラグインコマンド推奨
/plugin add https://github.com/majiayu000/claude-skill-registry
Git クローン代替
git clone https://github.com/majiayu000/claude-skill-registry.git ~/.claude/skills/customer-lookup

このコマンドをClaude Codeにコピー&ペーストしてスキルをインストールします

ドキュメント

Customer Lookup Skill

Purpose: Fast customer support and account verification

What This Skill Does

Searches Lemon Squeezy for customer information using the API. Returns:

  1. Customer details (name, email, purchase date)
  2. All orders (with status, amount, products)
  3. Active subscriptions (if any)
  4. License keys (if applicable)
  5. Recent activity timeline

When to Use This Skill

Common use cases:

  • User emails: "I can't access my book"
  • Verify purchase before granting manual access
  • Process refund requests
  • Check subscription status
  • Find order number for user
  • Investigate payment issues

API Authentication

The skill uses the LEMON_SQUEEZY_API_KEY environment variable (already set in Cloudflare).

To test locally, set in .dev.vars:

LEMON_SQUEEZY_API_KEY=your_api_key_here

Usage Examples

Example 1: Lookup by email

User: Can you check if [email protected] has purchased the book?
Assistant: [Uses customer-lookup skill]

Example 2: Lookup by order number

User: Customer says their order #12345 isn't working
Assistant: [Uses customer-lookup skill to find order details]

Example 3: Before manual refund

User: Customer wants a refund for order #67890
Assistant: [Uses customer-lookup to verify order exists and is paid]

Implementation

Step 1: Search Customers API

Endpoint: GET https://api.lemonsqueezy.com/v1/customers

Query parameters:

  • filter[email] - Search by email
  • filter[store_id] - Filter to your store only (important!)

Example request:

curl "https://api.lemonsqueezy.com/v1/customers?filter[email][email protected]&filter[store_id]=YOUR_STORE_ID" \
  -H "Accept: application/vnd.api+json" \
  -H "Content-Type: application/vnd.api+json" \
  -H "Authorization: Bearer $LEMON_SQUEEZY_API_KEY"

Response structure:

{
  "data": [
    {
      "type": "customers",
      "id": "123456",
      "attributes": {
        "store_id": 12345,
        "name": "John Doe",
        "email": "[email protected]",
        "status": "active",
        "city": "Sydney",
        "region": "NSW",
        "country": "AU",
        "total_revenue_currency": 15,
        "mrr": 0,
        "status_formatted": "Active",
        "country_formatted": "Australia",
        "total_revenue_currency_formatted": "$15.00",
        "mrr_formatted": "$0.00",
        "created_at": "2026-01-01T12:00:00.000000Z",
        "updated_at": "2026-01-01T12:00:00.000000Z"
      }
    }
  ]
}

Step 2: List Customer's Orders

Endpoint: GET https://api.lemonsqueezy.com/v1/orders

Query parameters:

  • filter[customer_id] - Filter by customer ID from Step 1
  • filter[store_id] - Your store ID
  • include=order-items - Include product details

Example request:

curl "https://api.lemonsqueezy.com/v1/orders?filter[customer_id]=123456&filter[store_id]=YOUR_STORE_ID&include=order-items" \
  -H "Accept: application/vnd.api+json" \
  -H "Authorization: Bearer $LEMON_SQUEEZY_API_KEY"

Response structure:

{
  "data": [
    {
      "type": "orders",
      "id": "1",
      "attributes": {
        "store_id": 12345,
        "customer_id": 123456,
        "identifier": "a1b2c3d4",
        "order_number": 12345,
        "user_name": "John Doe",
        "user_email": "[email protected]",
        "currency": "AUD",
        "currency_rate": "1.00000000",
        "subtotal": 1500,
        "discount_total": 0,
        "tax": 0,
        "total": 1500,
        "subtotal_usd": 1000,
        "discount_total_usd": 0,
        "tax_usd": 0,
        "total_usd": 1000,
        "tax_name": "VAT",
        "tax_rate": "0.00",
        "status": "paid",
        "status_formatted": "Paid",
        "refunded": false,
        "refunded_at": null,
        "subtotal_formatted": "$15.00",
        "discount_total_formatted": "$0.00",
        "tax_formatted": "$0.00",
        "total_formatted": "$15.00",
        "first_order_item": {
          "id": 1,
          "order_id": 1,
          "product_id": 123,
          "variant_id": 456,
          "product_name": "This Wasn't in the Brochure",
          "variant_name": "Standard",
          "price": 1500
        },
        "created_at": "2026-01-01T12:00:00.000000Z",
        "updated_at": "2026-01-01T12:00:00.000000Z"
      }
    }
  ]
}

Step 3: Check Subscriptions (if applicable)

Endpoint: GET https://api.lemonsqueezy.com/v1/subscriptions

Query parameters:

  • filter[customer_id] - Customer ID
  • filter[store_id] - Your store ID

Step 4: Get License Keys (if product has licenses)

Endpoint: GET https://api.lemonsqueezy.com/v1/license-keys

Query parameters:

  • filter[order_id] - Order ID from Step 2
  • filter[store_id] - Your store ID

Output Format

Present results in this structure:

# Customer Lookup Results

## Customer Details
- Name: John Doe
- Email: [email protected]
- Customer ID: 123456
- Status: Active
- Location: Sydney, NSW, Australia
- Total Spent: $15.00 AUD
- Customer Since: January 1, 2026

## Orders (1 total)

### Order #12345 - Paid ✅
- Date: January 1, 2026
- Amount: $15.00 AUD
- Status: Paid
- Product: This Wasn't in the Brochure (Standard)
- Order ID: a1b2c3d4
- Refunded: No

## Subscriptions
No active subscriptions

## License Keys
No license keys (product doesn't use licenses)

## Support Actions Available
- ✅ Grant manual access (if webhook failed)
- ✅ Issue refund
- ✅ Resend receipt email
- ✅ Update customer details

Error Handling

Customer not found:

❌ No customer found with email: [email protected]

Possible reasons:
- Email typo (check spelling)
- Order placed with different email
- Order not yet processed
- Customer used different store

Ask customer to:
1. Check confirmation email for exact email used
2. Provide order number instead
3. Check spam folder for receipt

Multiple customers (shouldn't happen with email filter):

⚠️ Multiple customers found. This shouldn't happen.

Please verify store_id filter is working correctly.

API authentication error:

❌ API Error: Unauthorized

LEMON_SQUEEZY_API_KEY is invalid or expired.

Check: https://app.lemonsqueezy.com/settings/api

Rate Limits

Lemon Squeezy API limits:

  • 60 requests per minute per API key
  • Includes all API calls across your account

If you hit rate limit (429 status):

  • Wait 60 seconds
  • Implement exponential backoff
  • Cache results when possible

Security Notes

Never log or display:

  • Full API keys
  • Customer payment details
  • License keys in public channels

Always verify:

  • Store ID matches YOUR_STORE_ID
  • Request is for YOUR store (not cross-store lookup)

Testing

Test with a known order:

# Your test order (replace with real values)
TEST_EMAIL="[email protected]"
TEST_ORDER="12345"

Related Skills

  • /refund-order - Issue refunds after lookup
  • /license-key-tool - Manage licenses after finding customer
  • /sales-dashboard - View all recent orders

API Documentation

Full Lemon Squeezy API docs:

GitHub リポジトリ

majiayu000/claude-skill-registry
パス: skills/customer-lookup

関連スキル

evaluating-llms-harness

テスト

This Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.

スキルを見る

sglang

メタ

SGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.

スキルを見る

langchain

メタ

LangChain is a framework for building LLM applications using agents, chains, and RAG pipelines. It supports multiple LLM providers, offers 500+ integrations, and includes features like tool calling and memory management. Use it for rapid prototyping and deploying production systems like chatbots, autonomous agents, and question-answering services.

スキルを見る

cloudflare-turnstile

メタ

This skill provides comprehensive guidance for implementing Cloudflare Turnstile as a CAPTCHA-alternative bot protection system. It covers integration for forms, login pages, API endpoints, and frameworks like React/Next.js/Hono, while handling invisible challenges that maintain user experience. Use it when migrating from reCAPTCHA, debugging error codes, or implementing token validation and E2E tests.

スキルを見る