/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.
$ npx -y skills add 40rty-ai/shopify-admin-skills --skill shopify-admin-bulk-customer-tag-update --agent claude-codeHow it fires
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- 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 →
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- 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.mdname: 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
Read more
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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