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Operations
Skill

/shopify-admin-bulk-customer-tag-update

Adds and/or removes tags across a filtered set of customers — supports query-based selection, explicit ID lists, and union/replace tag modes.

From plugin
shopify-admin-skills
175116 skills
Install
$ npx -y skills add 40rty-ai/shopify-admin-skills --skill shopify-admin-bulk-customer-tag-update --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/shopify-admin-bulk-customer-tag-update

Context preview

The summary Claude sees to decide when to auto-load this skill.

Adds and/or removes tags across a filtered set of customers — supports query-based selection, explicit ID lists, and union/replace tag modes.

SKILL.md

shopify-admin-bulk-customer-tag-update.SKILL.md
name: shopify-admin-bulk-customer-tag-update
role: customer-support
description: "Adds and/or removes tags across a filtered set of customers — supports query-based selection, explicit ID lists, and union/replace tag modes."
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

Applies bulk tag changes (add, remove, or both) to customers selected by a query filter (e.g., `total_spent:>=500`, `tag:newsletter`) or by an explicit list of customer GIDs. Tags are how Shopify segments customers for discounts, marketing, and support workflows; this skill makes batch changes safe, dry-runnable, and auditable. Use when migrating from one tag taxonomy to another, when retiring a campaign-specific tag, or when applying a new segment tag identified by an analytics report.

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) | | format | string | no | human | Output format: `human` or `json` | | dry_run | bool | no | true | Preview matching customers and the planned tag changes without executing mutations | | filter | string | conditional | — | Customer query filter (e.g., `tag:newsletter`, `total_spent:>=500`); required if `customer_ids` is omitted | | customer_ids | array | conditional | — | Explicit list of customer GIDs; required if `filter` is omitted | | add_tags | array | no | [] | Tags to add (union with existing tags) | | remove_tags | array | no | [] | Tags to remove (set difference) | | mode | string | no | merge | Tag write mode: `merge` (apply add/remove to existing) or `replace` (overwrite tags entirely with `add_tags` only) | | max_customers | integer | no | 1000 | Run-size cap; abort if filter matches more than this |

Safety

> ⚠️ Step 2 executes one `customerUpdate` mutation per customer in the matched set. Tag changes are immediate and visible to staff and to any apps reading customer tags (loyalty, marketing automation, segmentation). `mode: replace` overwrites existing tags entirely — manually-applied operational tags will be lost. The default is `dry_run: true` and `mode: merge`. Always run dry-run first, review the matched count, and confirm `add_tags`/`remove_tags` are spelled correctly — Shopify tags are case-sensitive.

Workflow Steps

1. **OPERATION:** `customers` — query **Inputs:** When `filter` is set: `query: <filter>`, `first: 250`, pagination cursor. When `customer_ids` is set: batch query with `query: "id:<id1> OR id:<id2> ..."` (chunk into batches of 25 IDs). Select `id`, `displayName`, `defaultEmailAddress { emailAddress }`, `tags`. **Expected output:** Customer list with current tags. Abort if `match_count > max_customers`.

2. For each matched customer, compute the target tag set:

  • If `mode: merge`: `target = (existing ∪ add_tags) \ remove_tags`
  • If `mode: replace`: `target = add_tags` (remove_tags ignored)

Skip the customer if `target == existing` (no-op).

3. **OPERATION:** `customerUpdate` — mutation **Inputs:** For each customer with a non-empty diff: `input: { id: <customer_id>, tags: <target_tag_array> }` **Expected output:** `customer.id`, `customer.tags`, `userErrors`; collect failures

GraphQL Operations

# customers:query — validated against api_version 2025-01
query CustomersForBulkTagging($query: String!, $after: String) {
  customers(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        displayName
        firstName
        lastName
        defaultEmailAddress {
          emailAddress
        }
        tags
        numberOfOrders
        amountSpent {
          amount
          currencyCode
        }
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}
# customerUpdate:mutation — validated against api_version 2025-01
mutation CustomerTagsUpdate($input: CustomerInput!) {
  customerUpdate(input: $input) {
    customer {
      id
      displayName
      tags
    }
    userErrors {
      field
      message
    }
  }
}

Session Tracking

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

**On start**, emit:

╔══════════════════════════════════════════════╗
║  SKILL: Bulk Customer Tag Update             ║
║  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):

══════════════════════════════════════════════
BULK TAG UPDATE OUTCOME
  Filter:           <filter or "<n> explicit IDs">
  Mode:             <merge|replace>
  Add tags:         <list>
  Remove tags:      <list>
  Customers matched: <n>
  Customers updated: <n>  (or "skipped — dry_run")
  No-op (already in state): <n>
  Errors:           <n>
  Output:           bulk_tag_update_<date>.csv
══════════════════════════════════════════════

For `format: json`, emit:

{
  "skill": "bulk-customer-tag-update",
  "store": "<domain>",
  "started_at": "<ISO8601>",
  "completed_at": "<ISO8601>",
  "dry_run": true,
  "mode": "merge",
  "outcome": {
    "matched": 0,
    "updated": 0,
    "noop": 0,
    "errors": 0,
    "add_tags": [],
    "remove_tags": [],
    "output_file": "bulk_tag_update_<date>.csv"
  }
}

Output Format

CSV file `bulk_tag_upd

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