| name | shopify-admin-draft-order-cleanup |
| role | store-management |
| description | Finds stale draft orders older than N days and optionally deletes them to reduce admin clutter. |
| toolkit | shopify-admin, shopify-admin-execution |
| api_version | 2025-01 |
| graphql_operations | ["draftOrders:query","draftOrderDelete:mutation"] |
| status | stable |
| compatibility | Claude Code, Cursor, Codex, Gemini CLI |
Purpose
Queries open draft orders older than a configurable age and optionally deletes them. Draft orders accumulate from abandoned B2B quotes, incomplete manual orders, or old integrations and clutter the admin. Stale drafts also inflate pending revenue metrics.
Prerequisites
- Authenticated Shopify CLI session:
shopify store auth --store <domain> --scopes read_orders,write_orders
- API scopes:
read_orders, write_orders
Parameters
| Parameter | Type | Required | Default | Description |
|---|
| store | string | yes | — | Store domain (e.g., mystore.myshopify.com) |
| older_than_days | integer | no | 30 | Delete drafts older than this many days |
| dry_run | bool | no | true | Preview drafts to delete without executing mutation |
| format | string | no | human | Output format: human or json |
Safety
⚠️ draftOrderDelete permanently deletes draft orders. Deleted drafts cannot be recovered. Run with dry_run: true to review the list before committing. Check that no stale drafts represent active B2B quotes awaiting customer approval before deleting.
Workflow Steps
-
OPERATION: draftOrders — query
Inputs: query: "status:open created_at:<='<NOW - older_than_days days>'", first: 250, pagination cursor
Expected output: Stale open draft orders; paginate until hasNextPage: false
-
OPERATION: draftOrderDelete — mutation
Inputs: id: <draft_order_id>
Expected output: deletedId, userErrors
GraphQL Operations
query StaleDraftOrders($query: String!, $after: String) {
draftOrders(first: 250, after: $after, query: $query) {
edges {
node {
id
name
status
createdAt
updatedAt
totalPriceSet {
shopMoney {
amount
currencyCode
}
}
customer {
id
displayName
defaultEmailAddress {
emailAddress
}
}
tags
note
}
}
pageInfo {
hasNextPage
endCursor
}
}
}
mutation DraftOrderDelete($input: DraftOrderDeleteInput!) {
draftOrderDelete(input: $input) {
deletedId
userErrors {
field
message
}
}
}
Session Tracking
Claude MUST emit the following output at each stage. This is mandatory.
On start, emit:
╔══════════════════════════════════════════════╗
║ SKILL: Draft Order Cleanup ║
║ 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
Stale drafts found: <n>
Drafts deleted: <n>
Total value cleared: $<amount>
Errors: <n>
Output: draft_cleanup_<date>.csv
══════════════════════════════════════════════
For format: json, emit:
{
"skill": "draft-order-cleanup",
"store": "<domain>",
"started_at": "<ISO8601>",
"older_than_days": 30,
"dry_run": true,
"outcome": {
"drafts_found": 0,
"drafts_deleted": 0,
"value_cleared": 0,
"currency": "USD",
"errors": 0,
"output_file": "draft_cleanup_<date>.csv"
}
}
Output Format
CSV file draft_cleanup_<YYYY-MM-DD>.csv with columns:
draft_id, draft_name, customer_name, customer_email, created_at, total_value, currency, action
Error Handling
| Error | Cause | Recovery |
|---|
THROTTLED | API rate limit exceeded | Wait 2 seconds, retry up to 3 times |
userErrors on delete | Draft already completed or cancelled | Log as skipped, continue |
| No stale drafts | All drafts are recent or none exist | Exit with 0 results |
Best Practices
- Set
older_than_days: 60 or higher for B2B stores where quotes may have longer sales cycles.
- Review the dry-run list for drafts with notes or high value before deleting — these may be legitimate pending quotes.
- For B2B scenarios, consider filtering out drafts tagged with
b2b-quote or similar before running the delete step.
- Run monthly as a routine admin hygiene task.