Shopify admin wismo bulk status report
Identify orders at risk of generating WISMO support tickets: shipped orders with stale tracking, and unfulfilled orders past their SLA window.
How to use it
Claude Code
- Run the line below. It pulls the whole folder into
~/.claude/skills/shopify-admin-wismo-bulk-status-report. - Describe your job in plain words. Claude Code follows the skill from there.
npx degit 40RTY-ai/shopify-admin-skills/skills/customer-support/shopify-admin-wismo-bulk-status-report#main ~/.claude/skills/shopify-admin-wismo-bulk-status-reportFor one project only, change the path to .claude/skills/shopify-admin-wismo-bulk-status-report.
Claude (web or desktop app)
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- Save it as SKILL.md in a folder, zip the folder, then Customize → Skills → + → Create skill → Upload a skill.
- Pick the file and Save. Claude shows the name and description and runs a security scan.
- Check the skill is switched on.
- Start a new chat and describe your job in plain words. The AI follows the skill from there.
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Source of Shopify admin wismo bulk status report
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| name | role | description | toolkit | api_version | graphql_operations | status | compatibility |
|---|---|---|---|---|---|---|---|
| shopify-admin-wismo-bulk-status-report | customer-support | Identify orders at risk of generating WISMO support tickets: shipped orders with stale tracking, and unfulfilled orders past their SLA window. | shopify-admin, shopify-admin-execution | 2025-01 | - orders:query | stable | Claude Code, Cursor, Codex, Gemini CLI |
Purpose
Generates a bulk report of orders most likely to generate "Where Is My Order?" (WISMO) support tickets — shipped orders whose tracking hasn't updated in N days, and unfulfilled orders sitting past a configurable SLA. According to industry research, WISMO accounts for ~18% of all incoming support requests, making proactive identification a direct ops capacity investment. Read-only. Replaces manual order-by-order admin scanning or helpdesk searches. The CSV output can be used to proactively contact customers before they contact you.
Prerequisites
shopify auth login --store <domain>- API scopes:
read_orders
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 | false | Preview operations without executing mutations |
| unfulfilled_sla_days | integer | no | 3 | Flag unfulfilled orders older than this many days |
| stale_tracking_days | integer | no | 5 | Flag shipped orders where the last fulfillment was created more than this many days ago (proxy for stale tracking) |
| limit | integer | no | 250 | Max orders per page |
Workflow Steps
OPERATION:
orders— query (unfulfilled at-risk) Inputs:first: <limit>,query: "fulfillment_status:unfulfilled created_at:<='<NOW minus unfulfilled_sla_days>'", sort byCREATED_ATascending Expected output: Orders unfulfilled past SLA window withname,createdAt,customer,displayFulfillmentStatus; label asUNFULFILLED_OVERDUEOPERATION:
orders— query (shipped but potentially stale) Inputs:first: <limit>,query: "fulfillment_status:shipped updated_at:<='<NOW minus stale_tracking_days>'", sort byUPDATED_ATascending Expected output: Shipped orders not updated recently withname,createdAt,fulfillments.createdAt,fulfillments.trackingInfo; label asSHIPPED_STALE_TRACKING
GraphQL Operations
# orders:query — validated against api_version 2025-01
query WismoOrders($first: Int!, $after: String, $query: String) {
orders(first: $first, after: $after, query: $query, sortKey: CREATED_AT) {
edges {
node {
id
name
createdAt
updatedAt
displayFulfillmentStatus
displayFinancialStatus
customer {
id
firstName
lastName
defaultEmailAddress {
emailAddress
}
}
shippingAddress {
city
province
country
}
fulfillments {
createdAt
status
trackingInfo {
number
url
company
}
}
totalPriceSet {
shopMoney { amount currencyCode }
}
}
}
pageInfo {
hasNextPage
endCursor
}
}
}
Session Tracking
Claude MUST emit the following output at each stage. This is mandatory.
On start, emit:
╔══════════════════════════════════════════════╗
║ SKILL: wismo-bulk-status-report ║
║ 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>
On completion, emit:
For format: human (default):
══════════════════════════════════════════════
OUTCOME SUMMARY
Unfulfilled overdue orders: <n>
Shipped stale-tracking orders: <n>
Total at-risk orders: <n>
Errors: 0
Output: wismo-report-<YYYY-MM-DD>.csv
══════════════════════════════════════════════
For format: json, emit:
{
"skill": "wismo-bulk-status-report",
"store": "<domain>",
"started_at": "<ISO8601>",
"completed_at": "<ISO8601>",
"dry_run": false,
"steps": [
{ "step": 1, "operation": "WismoOrders", "type": "query", "params_summary": "fulfillment_status:unfulfilled, sla_days: <n>, limit: <n>", "result_summary": "<n> orders", "skipped": false },
{ "step": 2, "operation": "WismoOrders", "type": "query", "params_summary": "fulfillment_status:shipped, stale_days: <n>, limit: <n>", "result_summary": "<n> orders", "skipped": false }
],
"outcome": {
"unfulfilled_overdue_count": 0,
"shipped_stale_count": 0,
"total_at_risk": 0,
"errors": 0,
"output_file": "wismo-report-<YYYY-MM-DD>.csv"
}
}
Output Format
CSV file wismo-report-<YYYY-MM-DD>.csv with columns: risk_type, order_name, customer_email, order_date, days_waiting, fulfillment_status, tracking_number, tracking_company, shipping_city, shipping_country.
Two sections in the CSV (separated by risk_type column value): UNFULFILLED_OVERDUE and SHIPPED_STALE_TRACKING. For human format, also shows a summary table before the CSV path.
Error Handling
| Error | Cause | Recovery |
|---|---|---|
| No orders returned | All orders are within SLA / recently updated | Good news — no WISMO risk detected |
| Very large result set | High order volume or wide SLA window | Narrow date range or reduce unfulfilled_sla_days |
customer is null |
Guest checkout order | Order name and tracking still included — email column will be empty |
| Rate limit (429) | Many pages of orders | Reduce limit to 100 |
Best Practices
- Run this report daily during your morning ops review alongside
fulfillment-status-digest— together they cover both the ops queue and the customer-facing risk. - Sort the CSV by
days_waitingdescending to prioritize outreach to the most overdue orders first. - For
UNFULFILLED_OVERDUEorders, forward to thefulfillment-status-digestskill to understand why they haven't been fulfilled and useorder-hold-and-releaseif needed. - For
SHIPPED_STALE_TRACKINGorders, check if the carrier tracking URL shows movement — if it's genuinely stalled, proactive outreach reduces ticket volume significantly. - Use
format: jsonto pipe the output into a Slack alert or CRM automation that creates follow-up tasks for your support team.
| 1 | |
| 2 | name shopify-admin-wismo-bulk-status-report |
| 3 | role customer-support |
| 4 | description "Identify orders at risk of generating WISMO support tickets: shipped orders with stale tracking, and unfulfilled orders past their SLA window." |
| 5 | toolkit shopify-admin, shopify-admin-execution |
| 6 | api_version "2025-01" |
| 7 | graphql_operations |
| 8 | - orders:query |
| 9 | status stable |
| 10 | compatibility Claude Code, Cursor, Codex, Gemini CLI |
| 11 | |
| 12 | |
| 13 | ## Purpose |
| 14 | Generates a bulk report of orders most likely to generate "Where Is My Order?" (WISMO) support tickets — shipped orders whose tracking hasn't updated in N days, and unfulfilled orders sitting past a configurable SLA. According to industry research, WISMO accounts for ~18% of all incoming support requests, making proactive identification a direct ops capacity investment. Read-only. Replaces manual order-by-order admin scanning or helpdesk searches. The CSV output can be used to proactively contact customers before they contact you. |
| 15 | |
| 16 | ## Prerequisites |
| 17 | `shopify auth login --store <domain>` |
| 18 | API scopes: `read_orders` |
| 19 | |
| 20 | ## Parameters |
| 21 | |
| 22 | | Parameter | Type | Required | Default | Description | |
| 23 | |-----------|------|----------|---------|-------------| |
| 24 | | store | string | yes | — | Store domain (e.g., mystore.myshopify.com) | |
| 25 | | format | string | no | human | Output format: `human` or `json` | |
| 26 | | dry_run | bool | no | false | Preview operations without executing mutations | |
| 27 | | unfulfilled_sla_days | integer | no | 3 | Flag unfulfilled orders older than this many days | |
| 28 | | stale_tracking_days | integer | no | 5 | Flag shipped orders where the last fulfillment was created more than this many days ago (proxy for stale tracking) | |
| 29 | | limit | integer | no | 250 | Max orders per page | |
| 30 | |
| 31 | ## Workflow Steps |
| 32 | |
| 33 | **OPERATION:** `orders` — query (unfulfilled at-risk) |
| 34 | **Inputs:** `first: <limit>`, `query: "fulfillment_status:unfulfilled created_at:<='<NOW minus unfulfilled_sla_days>'"`, sort by `CREATED_AT` ascending |
| 35 | **Expected output:** Orders unfulfilled past SLA window with `name`, `createdAt`, `customer`, `displayFulfillmentStatus`; label as `UNFULFILLED_OVERDUE` |
| 36 | |
| 37 | **OPERATION:** `orders` — query (shipped but potentially stale) |
| 38 | **Inputs:** `first: <limit>`, `query: "fulfillment_status:shipped updated_at:<='<NOW minus stale_tracking_days>'"`, sort by `UPDATED_AT` ascending |
| 39 | **Expected output:** Shipped orders not updated recently with `name`, `createdAt`, `fulfillments.createdAt`, `fulfillments.trackingInfo`; label as `SHIPPED_STALE_TRACKING` |
| 40 | |
| 41 | ## GraphQL Operations |
| 42 | |
| 43 | |
| 44 | # orders:query — validated against api_version 2025-01 |
| 45 | query WismoOrders($first: Int!, $after: String, $query: String) { |
| 46 | orders(first: $first, after: $after, query: $query, sortKey: CREATED_AT) { |
| 47 | edges { |
| 48 | node { |
| 49 | id |
| 50 | name |
| 51 | createdAt |
| 52 | updatedAt |
| 53 | displayFulfillmentStatus |
| 54 | displayFinancialStatus |
| 55 | customer { |
| 56 | id |
| 57 | firstName |
| 58 | lastName |
| 59 | defaultEmailAddress { |
| 60 | emailAddress |
| 61 | } |
| 62 | } |
| 63 | shippingAddress { |
| 64 | city |
| 65 | province |
| 66 | country |
| 67 | } |
| 68 | fulfillments { |
| 69 | createdAt |
| 70 | status |
| 71 | trackingInfo { |
| 72 | number |
| 73 | url |
| 74 | company |
| 75 | } |
| 76 | } |
| 77 | totalPriceSet { |
| 78 | shopMoney { amount currencyCode } |
| 79 | } |
| 80 | } |
| 81 | } |
| 82 | pageInfo { |
| 83 | hasNextPage |
| 84 | endCursor |
| 85 | } |
| 86 | } |
| 87 | } |
| 88 | |
| 89 | |
| 90 | ## Session Tracking |
| 91 | |
| 92 | **Claude MUST emit the following output at each stage. This is mandatory.** |
| 93 | |
| 94 | **On start**, emit: |
| 95 | |
| 96 | ╔══════════════════════════════════════════════╗ |
| 97 | ║ SKILL: wismo-bulk-status-report ║ |
| 98 | ║ Store: <store domain> ║ |
| 99 | ║ Started: <YYYY-MM-DD HH:MM UTC> ║ |
| 100 | ╚══════════════════════════════════════════════╝ |
| 101 | |
| 102 | |
| 103 | **After each step**, emit: |
| 104 | |
| 105 | [N/TOTAL] <QUERY|MUTATION> <OperationName> |
| 106 | → Params: <brief summary of key inputs> |
| 107 | → Result: <count or outcome> |
| 108 | |
| 109 | |
| 110 | **On completion**, emit: |
| 111 | |
| 112 | For `format: human` (default): |
| 113 | |
| 114 | ══════════════════════════════════════════════ |
| 115 | OUTCOME SUMMARY |
| 116 | Unfulfilled overdue orders: <n> |
| 117 | Shipped stale-tracking orders: <n> |
| 118 | Total at-risk orders: <n> |
| 119 | Errors: 0 |
| 120 | Output: wismo-report-<YYYY-MM-DD>.csv |
| 121 | ══════════════════════════════════════════════ |
| 122 | |
| 123 | |
| 124 | For `format: json`, emit: |
| 125 | |
| 126 | { |
| 127 | "skill": "wismo-bulk-status-report", |
| 128 | "store": "<domain>", |
| 129 | "started_at": "<ISO8601>", |
| 130 | "completed_at": "<ISO8601>", |
| 131 | "dry_run": false, |
| 132 | "steps": [ |
| 133 | { "step": 1, "operation": "WismoOrders", "type": "query", "params_summary": "fulfillment_status:unfulfilled, sla_days: <n>, limit: <n>", "result_summary": "<n> orders", "skipped": false }, |
| 134 | { "step": 2, "operation": "WismoOrders", "type": "query", "params_summary": "fulfillment_status:shipped, stale_days: <n>, limit: <n>", "result_summary": "<n> orders", "skipped": false } |
| 135 | ], |
| 136 | "outcome": { |
| 137 | "unfulfilled_overdue_count": 0, |
| 138 | "shipped_stale_count": 0, |
| 139 | "total_at_risk": 0, |
| 140 | "errors": 0, |
| 141 | "output_file": "wismo-report-<YYYY-MM-DD>.csv" |
| 142 | } |
| 143 | } |
| 144 | |
| 145 | |
| 146 | ## Output Format |
| 147 | CSV file `wismo-report-<YYYY-MM-DD>.csv` with columns: `risk_type`, `order_name`, `customer_email`, `order_date`, `days_waiting`, `fulfillment_status`, `tracking_number`, `tracking_company`, `shipping_city`, `shipping_country`. |
| 148 | |
| 149 | Two sections in the CSV (separated by `risk_type` column value): `UNFULFILLED_OVERDUE` and `SHIPPED_STALE_TRACKING`. For human format, also shows a summary table before the CSV path. |
| 150 | |
| 151 | ## Error Handling |
| 152 | | Error | Cause | Recovery | |
| 153 | |-------|-------|----------| |
| 154 | | No orders returned | All orders are within SLA / recently updated | Good news — no WISMO risk detected | |
| 155 | | Very large result set | High order volume or wide SLA window | Narrow date range or reduce `unfulfilled_sla_days` | |
| 156 | | `customer` is null | Guest checkout order | Order name and tracking still included — email column will be empty | |
| 157 | | Rate limit (429) | Many pages of orders | Reduce `limit` to 100 | |
| 158 | |
| 159 | ## Best Practices |
| 160 | Run this report daily during your morning ops review alongside `fulfillment-status-digest` — together they cover both the ops queue and the customer-facing risk. |
| 161 | Sort the CSV by `days_waiting` descending to prioritize outreach to the most overdue orders first. |
| 162 | For `UNFULFILLED_OVERDUE` orders, forward to the `fulfillment-status-digest` skill to understand why they haven't been fulfilled and use `order-hold-and-release` if needed. |
| 163 | For `SHIPPED_STALE_TRACKING` orders, check if the carrier tracking URL shows movement — if it's genuinely stalled, proactive outreach reduces ticket volume significantly. |
| 164 | Use `format: json` to pipe the output into a Slack alert or CRM automation that creates follow-up tasks for your support team. |
| 165 |
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