Installable skillMIT

customers:query — validated against api_version 2025-01

Adds internal notes to customer records in bulk — useful for post-campaign flags, import annotations, or support context.

BY 40RTY-aiUPDATED Oct 27, 2026
INTENDED FOR✳Claude Code>_Codex↗Cursor✦GeminiInstall in a listed agent.

instructions.md

---
name: shopify-admin-customer-note-bulk-annotator
role: customer-ops
description: "Adds internal notes to customer records in bulk — useful for post-campaign flags, import annotations, or support context."
toolkit: shopify-admin, shopify-admin-execution
api_version: "2025-01"
graphql_operations:
  - customers:query
  - customerUpdate:mutation
status: stable
compatibility: Claude Code, Cursor, Codex, Gemini CLI
---

## 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 <domain> --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: <filter>`, `first: 250`, select `id`, `displayName`, `note`, pagination cursor
   **Expected output:** Matching customers with existing notes; paginate until `hasNextPage: false`

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

3. **OPERATION:** `customerUpdate` — mutation
   **Inputs:** `id: <customer_id>`, `note: <new_note>`
   **Expected output:** `customer { id, note }`, `userErrors`

## GraphQL Operations

```graphql
# 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
    }
  }
}
```

```graphql
# 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: <store domain>                       ║
║  Started: <YYYY-MM-DD HH:MM UTC>             ║
╚══════════════════════════════════════════════╝
```

**After each step**, emit:
```
[N/TOTAL] <QUERY|MUTATION>  <OperationName>
          → Params: <brief summary of key inputs>
          → Result: <count or outcome>
```

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:   <n>
  Notes updated:       <n>
  Errors:              <n>
  Output:              annotation_log_<date>.csv
══════════════════════════════════════════════
```

For `format: json`, emit:
```json
{
  "skill": "customer-note-bulk-annotator",
  "store": "<domain>",
  "started_at": "<ISO8601>",
  "dry_run": true,
  "filter": "<query>",
  "note": "<text>",
  "append": true,
  "outcome": {
    "matched": 0,
    "updated": 0,
    "errors": 0,
    "output_file": "annotation_log_<date>.csv"
  }
}
```

## Output Format
CSV file `annotation_log_<YYYY-MM-DD>.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.
COMPATIBILITY & REFERENCES

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.