
Shopify Admin Metafield Bulk Update
- 7 installs
- 173 repo stars
- Updated June 26, 2026
- 40rty-ai/shopify-admin-skills
shopify-admin-metafield-bulk-update is a Claude Code skill that bulk sets or deletes metafields on Shopify products, variants, or customers filtered by tag or collection.
About
This Claude Code skill queries Shopify products, variants, or customers matching a filter and bulk-sets or bulk-deletes metafield values on them. Developers use it for structured-data updates like material composition, care instructions, or custom attributes that power storefront features. It defaults to a dry_run preview because metafieldsSet overwrites without merging and metafieldsDelete is permanent.
- Bulk sets or deletes metafields on products, variants, or customers filtered by tag or collection
- Runs metafieldsSet or metafieldsDelete over a filtered resource list; defaults to dry_run: true
- Supports typed values (text, boolean, number) for storefront-powering custom attributes
Shopify Admin Metafield Bulk Update by the numbers
- 7 all-time installs (skills.sh)
- Ranked #1,587 of 2,715 Automation & Workflows skills by installs in the Skillselion catalog
- Data as of Aug 1, 2026 (Skillselion catalog sync)
shopify-admin-metafield-bulk-update capabilities & compatibility
Free; requires write_products scope on a Shopify CLI session.
- Capabilities
- metafield bulk update · structured data edit · bulk attribute update
- Pricing
- Free
What shopify-admin-metafield-bulk-update says it does
Bulk set or delete metafields on products, variants, or customers filtered by tag or collection.
`metafieldsSet` overwrites existing metafield values — there is no merge.
npx skills add https://github.com/40rty-ai/shopify-admin-skills --skill shopify-admin-metafield-bulk-updateAdd your badge
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| Installs | 7 |
|---|---|
| repo stars | ★ 173 |
| Last updated | June 26, 2026 |
| Repository | 40rty-ai/shopify-admin-skills ↗ |
What it does
Bulk set or delete Shopify metafields across a filtered set of products, variants, or customers.
Who is it for?
Bulk structured-data updates like material, care instructions, or custom attributes across many Shopify resources.
Skip if: Auditing metafield definitions or updating inventory; it edits metafield values only.
When should I use this skill?
You need to set or clear the same metafield across a filtered group of products, variants, or customers.
What you get
The target metafield is set or deleted across every resource matching the filter.
- Bulk-set or bulk-deleted metafield values across the filtered resource set
By the numbers
- 2 actions (set, delete)
- 3 target resource types (product, variant, customer)
Files
Purpose
Queries products (or variants, or customers) matching a filter and bulk-sets or bulk-deletes metafield values. Used for structured data updates like material composition, care instructions, product specifications, or custom attributes that power storefront features.
Prerequisites
- Authenticated Shopify CLI session:
shopify store auth --store <domain> --scopes read_products,write_products - API scopes:
read_products,write_products - Metafield namespace and key must already exist or be created on first set
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| store | string | yes | — | Store domain (e.g., mystore.myshopify.com) |
| resource_type | string | no | product | Resource to update: product, variant, or customer |
| filter | string | yes | — | Filter query (e.g., tag:summer-2026, vendor:Nike) |
| namespace | string | yes | — | Metafield namespace (e.g., custom) |
| key | string | yes | — | Metafield key (e.g., material) |
| value | string | no | — | Value to set. If omitted and action: delete, metafield is deleted |
| value_type | string | no | single_line_text_field | Metafield type (e.g., single_line_text_field, boolean, number_integer) |
| action | string | no | set | set or delete |
| dry_run | bool | no | true | Preview without executing mutations |
| format | string | no | human | Output format: human or json |
Safety
⚠️metafieldsSetoverwrites existing metafield values — there is no merge.metafieldsDeletepermanently removes the metafield value from the resource. Run withdry_run: trueto confirm the affected product list and verify namespace/key are correct before committing.
Workflow Steps
1. OPERATION: products — query Inputs: query: <filter>, first: 250, select metafield values for the target namespace/key, pagination cursor Expected output: Products with existing metafield values (for reference); paginate until hasNextPage: false
2. OPERATION: metafieldsSet — mutation (if action: set) Inputs: Array of { ownerId, namespace, key, value, type } objects Expected output: metafields { id, key, value }, userErrors
3. OPERATION: metafieldsDelete — mutation (if action: delete) Inputs: Array of { ownerId, namespace, key } objects Expected output: deletedMetafields { ownerId }, userErrors
GraphQL Operations
# products:query — validated against api_version 2025-01
query ProductsWithMetafield($query: String!, $namespace: String!, $key: String!, $after: String) {
products(first: 250, after: $after, query: $query) {
edges {
node {
id
title
metafield(namespace: $namespace, key: $key) {
id
value
type
}
}
}
pageInfo {
hasNextPage
endCursor
}
}
}# metafieldsSet:mutation — validated against api_version 2025-01
mutation MetafieldsSet($metafields: [MetafieldsSetInput!]!) {
metafieldsSet(metafields: $metafields) {
metafields {
id
namespace
key
value
type
owner {
... on Product {
id
title
}
}
}
userErrors {
field
message
code
}
}
}# metafieldsDelete:mutation — validated against api_version 2025-01
mutation MetafieldsDelete($metafields: [MetafieldIdentifierInput!]!) {
metafieldsDelete(metafields: $metafields) {
deletedMetafields {
ownerId
namespace
key
}
userErrors {
field
message
}
}
}Session Tracking
Claude MUST emit the following output at each stage. This is mandatory.
On start, emit:
╔══════════════════════════════════════════════╗
║ SKILL: Metafield Bulk 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):
══════════════════════════════════════════════
OUTCOME SUMMARY
Resources matched: <n>
Metafields set/deleted: <n>
Errors: <n>
Output: metafield_update_<date>.csv
══════════════════════════════════════════════For format: json, emit:
{
"skill": "metafield-bulk-update",
"store": "<domain>",
"started_at": "<ISO8601>",
"completed_at": "<ISO8601>",
"dry_run": true,
"namespace": "<ns>",
"key": "<key>",
"action": "set",
"outcome": {
"matched": 0,
"updated": 0,
"errors": 0,
"output_file": "metafield_update_<date>.csv"
}
}Output Format
CSV file metafield_update_<YYYY-MM-DD>.csv with columns: resource_type, resource_id, title, namespace, key, old_value, new_value, action
Error Handling
| Error | Cause | Recovery |
|---|---|---|
THROTTLED | API rate limit exceeded | Wait 2 seconds, retry up to 3 times |
userErrors — invalid type | value doesn't match value_type | Log error, skip resource, continue |
userErrors — namespace/key not found on delete | Metafield doesn't exist | Log as skipped (already absent) |
| No products match filter | Filter too narrow | Exit with 0 matches |
Best Practices
metafieldsSetis batched — the mutation accepts up to 25 metafields per call. The skill automatically batches large product sets.- Always verify the
namespaceandkeymatch your store's metafield definitions — typos create orphaned metafields that don't connect to any theme feature. - For storefront-powered metafields (e.g., displayed in product templates), confirm the theme reads the correct namespace/key before running at scale.
- Use
dry_run: trueto preview exactly which products and current values will be affected before overwriting.
Related skills
FAQ
Does set merge or overwrite?
metafieldsSet overwrites existing metafield values with no merge, so preview with dry_run: true first.
What resources can it target?
Products, variants, or customers, selected with the resource_type parameter (default product).