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.

Shopify admin wismo bulk status report — Screenshot 2026-04-13 at 14 25 45 (1) (from the 40RTY-ai/shopify-admin-skills README)

From the 40RTY-ai/shopify-admin-skills README — shows the whole collection, not only this skill. · view on GitHub

How to use it

Claude Code
  1. Run the line below. It pulls the whole folder into ~/.claude/skills/shopify-admin-wismo-bulk-status-report.
  2. Describe your job in plain words. Claude Code follows the skill from there.
Claude Code — installs the whole folder, not just SKILL.md
npx degit 40RTY-ai/shopify-admin-skills/skills/customer-support/shopify-admin-wismo-bulk-status-report#main ~/.claude/skills/shopify-admin-wismo-bulk-status-report

For one project only, change the path to .claude/skills/shopify-admin-wismo-bulk-status-report.

Claude (web or desktop app)
  1. On this page open ⋯ → Download .md.
  2. Save it as SKILL.md in a folder, zip the folder, then Customize → Skills → + → Create skill → Upload a skill.
  3. Pick the file and Save. Claude shows the name and description and runs a security scan.
  4. Check the skill is switched on.
  5. Start a new chat and describe your job in plain words. The AI follows the skill from there.
ChatGPT or another app
  1. ChatGPT: make a Project and paste it into Instructions.
  2. Neither? Paste it at the top of a new chat — it works for that chat.
Not working?
  • Check which app you pasted it into — the steps above name the right one.
  • Some skills need the paid tier of Claude or ChatGPT.
Step-by-step guide with screenshots · Ask in the forum

Paste into Claude, ChatGPT or Cursor.

Source of Shopify admin wismo bulk status report

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nameroledescriptiontoolkitapi_versiongraphql_operationsstatuscompatibility
shopify-admin-wismo-bulk-status-reportcustomer-supportIdentify orders at risk of generating WISMO support tickets: shipped orders with stale tracking, and unfulfilled orders past their SLA window.shopify-admin, shopify-admin-execution2025-01 - orders:querystableClaude 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

  1. OPERATION: orders — query (unfulfilled at-risk) Inputs: first: <limit>, query: "fulfillment_status:unfulfilled created_at:<='<NOW minus unfulfilled_sla_days>'", sort by CREATED_AT ascending Expected output: Orders unfulfilled past SLA window with name, createdAt, customer, displayFulfillmentStatus; label as UNFULFILLED_OVERDUE

  2. OPERATION: orders — query (shipped but potentially stale) Inputs: first: <limit>, query: "fulfillment_status:shipped updated_at:<='<NOW minus stale_tracking_days>'", sort by UPDATED_AT ascending Expected output: Shipped orders not updated recently with name, createdAt, fulfillments.createdAt, fulfillments.trackingInfo; label as SHIPPED_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

  1. 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.
  2. Sort the CSV by days_waiting descending to prioritize outreach to the most overdue orders first.
  3. 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.
  4. For SHIPPED_STALE_TRACKING orders, check if the carrier tracking URL shows movement — if it's genuinely stalled, proactive outreach reduces ticket volume significantly.
  5. Use format: json to pipe the output into a Slack alert or CRM automation that creates follow-up tasks for your support team.
1---
2name: shopify-admin-wismo-bulk-status-report
3role: customer-support
4description: "Identify orders at risk of generating WISMO support tickets: shipped orders with stale tracking, and unfulfilled orders past their SLA window."
5toolkit: shopify-admin, shopify-admin-execution
6api_version: "2025-01"
7graphql_operations:
8 - orders:query
9status: stable
10compatibility: Claude Code, Cursor, Codex, Gemini CLI
11---
12 
13## Purpose
14Generates 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 
331. **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 
372. **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```graphql
44# orders:query — validated against api_version 2025-01
45query 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 
112For `format: human` (default):
113```
114══════════════════════════════════════════════
115OUTCOME 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 
124For `format: json`, emit:
125```json
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
147CSV 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 
149Two 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
1601. 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.
1612. Sort the CSV by `days_waiting` descending to prioritize outreach to the most overdue orders first.
1623. 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.
1634. For `SHIPPED_STALE_TRACKING` orders, check if the carrier tracking URL shows movement — if it's genuinely stalled, proactive outreach reduces ticket volume significantly.
1645. 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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