Shopify Admin Customer Note Bulk Annotator

Purpose

Queries customers matching a filter (tag, email list, or spend threshold) and appends a note to each customer record. Internal notes are visible to staff in Shopify Admin but not to customers. Used for post-campaign annotation, import source tracking, VIP flags, or support context.

Prerequisites

• Authenticated Shopify CLI session: shopify store auth --store --scopes read_customers,write_customers
• API scopes: read_customers, write_customers

Parameters

| Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | store | string | yes | — | Store domain (e.g., mystore.myshopify.com) | | filter | string | yes | — | Customer filter query (e.g., tag:vip, total_spent:>=500) | | note | string | yes | — | Note text to append to matching customers | | append | bool | no | true | Append to existing note (true) or replace entirely (false) | | dry_run | bool | no | true | Preview matching customers without executing mutations | | format | string | no | human | Output format: human or json |

Safety

> ⚠️ If append: false, this overwrites the existing customer note entirely. Existing notes will be lost. Default is append: true which safely appends with a timestamp prefix. Run with dry_run: true to confirm the customer list before committing.

Workflow Steps

1. OPERATION: customers — query

Inputs: query: , first: 250, select id, displayName, note, pagination cursor Expected output: Matching customers with existing notes; paginate until hasNextPage: false

1. Construct new note: if append: true, prepend [YYYY-MM-DD] to existing note (newline-separated); if append: false, replace with ``

1. OPERATION: customerUpdate — mutation

Inputs: id: , note: Expected output: customer { id, note }, userErrors

GraphQL Operations

# customers:query — validated against api_version 2025-01
query CustomersByFilter($query: String!, $after: String) {
  customers(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        displayName
        defaultEmailAddress {
          emailAddress
        }
        note
        tags
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}

# customerUpdate:mutation — validated against api_version 2025-01
mutation CustomerUpdateNote($input: CustomerInput!) {
  customerUpdate(input: $input) {
    customer {
      id
      displayName
      note
    }
    userErrors {
      field
      message
    }
  }
}

Session Tracking

Claude MUST emit the following output at each stage. This is mandatory.

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: Customer Note Bulk Annotator         ║
║  Store:                        ║
║  Started:              ║
╚══════════════════════════════════════════════╝

After each step, emit:

[N/TOTAL]   
          → Params: 
          → Result: 

If dry_run: true, prefix every mutation step with [DRY RUN] and do not execute it.

On completion, emit:

For format: human (default):

══════════════════════════════════════════════
OUTCOME SUMMARY
  Customers matched:   
  Notes updated:       
  Errors:              
  Output:              annotation_log_.csv
══════════════════════════════════════════════

For format: json, emit:

{
  "skill": "customer-note-bulk-annotator",
  "store": "",
  "started_at": "",
  "dry_run": true,
  "filter": "",
  "note": "",
  "append": true,
  "outcome": {
    "matched": 0,
    "updated": 0,
    "errors": 0,
    "output_file": "annotation_log_.csv"
  }
}

Output Format

CSV file annotation_log_.csv with columns: customer_id, name, email, previous_note, new_note

Error Handling

| Error | Cause | Recovery | |-------|-------|----------| | THROTTLED | API rate limit exceeded | Wait 2 seconds, retry up to 3 times | | userErrors on customerUpdate | Invalid input or read-only customer | Log error, skip customer, continue | | No customers match filter | Filter too narrow | Exit with 0 matches |

Best Practices

• Always use append: true unless you explicitly intend to overwrite existing notes — staff notes may contain important history.
• Include a datestamp in the note text itself (e.g., "2026-04-11: Campaign X participant") so notes remain interpretable months later.
• Use dry_run: true to confirm the customer count before annotating — a broad filter can match thousands of customers unexpectedly.
• For import-source tracking, annotate immediately after the import run to maintain a clear audit trail.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: 40RTY-ai
• Source: 40RTY-ai/shopify-admin-skills
• License: MIT
• Homepage: http://skills.40rty.ai

Install and usage instructions live in the source repository linked above.