/shopify-admin-return-processing-sla
Read-only: measures average time from return request to refund completion, surfacing SLA breaches.
$ npx -y skills add 40rty-ai/shopify-admin-skills --skill shopify-admin-return-processing-sla --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- 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 →
- You can call itInvoke it directly when you want it.
- Slash command
/shopify-admin-return-processing-sla
Context preview
The summary Claude sees to decide when to auto-load this skill.
Read-only: measures average time from return request to refund completion, surfacing SLA breaches.
SKILL.md
shopify-admin-return-processing-sla.SKILL.mdname: shopify-admin-return-processing-sla
role: returns
description: "Read-only: measures average time from return request to refund completion, surfacing SLA breaches."
toolkit: shopify-admin, shopify-admin-execution
api_version: "2025-01"
graphql_operations:
- returns:query
- orders:query
status: stable
compatibility: Claude Code, Cursor, Codex, Gemini CLI
Purpose
Calculates the time from return request creation to refund issuance for all completed returns in a period. Surfaces the average processing time, identifies orders that breached a configurable SLA threshold, and lists the longest-pending open returns. Read-only — no mutations.
Prerequisites
- Authenticated Shopify CLI session: `shopify store auth --store <domain> --scopes read_orders,read_returns`
- API scopes: `read_orders`, `read_returns`
Parameters
| Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | store | string | yes | — | Store domain (e.g., mystore.myshopify.com) | | days_back | integer | no | 30 | Lookback window for return requests | | sla_days | integer | no | 5 | Maximum acceptable days from request to refund | | format | string | no | human | Output format: `human` or `json` |
Safety
> ℹ️ Read-only skill — no mutations are executed. Safe to run at any time.
Workflow Steps
1. **OPERATION:** `returns` — query **Inputs:** `query: "created_at:>='<NOW - days_back days>'"`, `first: 250`, pagination cursor **Expected output:** Returns with `createdAt`, `status`, `refunds { createdAt }`, `order { name }`
2. For each completed return: calculate `processing_days = refund.createdAt - return.createdAt`
3. Identify SLA breaches: `processing_days > sla_days`
4. **OPERATION:** `orders` — query **Inputs:** Filter for orders with `return_status:open` to find pending returns exceeding SLA **Expected output:** Open return orders with request dates
GraphQL Operations
# returns:query — validated against api_version 2025-01
query ReturnProcessingTimes($query: String!, $after: String) {
returns(first: 250, after: $after, query: $query) {
edges {
node {
id
status
createdAt
order {
id
name
}
refunds(first: 3) {
id
createdAt
totalRefundedSet {
shopMoney {
amount
currencyCode
}
}
}
returnLineItems(first: 10) {
edges {
node {
quantity
returnReason
}
}
}
}
}
pageInfo {
hasNextPage
endCursor
}
}
}# orders:query — validated against api_version 2025-01
query OrdersWithOpenReturns($query: String!, $after: String) {
orders(first: 250, after: $after, query: $query) {
edges {
node {
id
name
createdAt
returnStatus
returns(first: 5) {
edges {
node {
id
status
createdAt
}
}
}
}
}
pageInfo {
hasNextPage
endCursor
}
}
}Session Tracking
**Claude MUST emit the following output at each stage. This is mandatory.**
**On start**, emit:
╔══════════════════════════════════════════════╗
║ SKILL: Return Processing SLA ║
║ 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):
══════════════════════════════════════════════
RETURN PROCESSING SLA (<days_back> days, SLA: <sla_days> days)
Returns analyzed: <n>
Avg processing time: <d> days
Within SLA (<sla_days>d): <n> (<pct>%)
SLA breaches: <n> (<pct>%)
Open returns pending: <n>
Longest open returns (no refund yet):
Order <name> — requested <n> days ago
Output: return_sla_<date>.csv
══════════════════════════════════════════════For `format: json`, emit:
{
"skill": "return-processing-sla",
"store": "<domain>",
"period_days": 30,
"sla_days": 5,
"returns_analyzed": 0,
"avg_processing_days": 0,
"within_sla_count": 0,
"sla_breach_count": 0,
"open_pending_count": 0,
"output_file": "return_sla_<date>.csv"
}Output Format
CSV file `return_sla_<YYYY-MM-DD>.csv` with columns: `return_id`, `order_name`, `return_requested_at`, `refunded_at`, `processing_days`, `sla_breach`, `return_status`
Error Handling
| Error | Cause | Recovery | |-------|-------|----------| | `THROTTLED` | API rate limit exceeded | Wait 2 seconds, retry up to 3 times | | No refund on completed return | Exchange-only resolution | Exclude from time calculation, note as exchange | | No returns in window | No return activity | Exit with summary: 0 returns |
Best Practices
- Set `sla_days` to match your published returns policy (e.g., "refunds processed within 5 business days").
- Use the open returns list to proactively contact customers whose returns have been waiting more than `sla_days` — reducing WISMO-style "where's my refund" tickets.
- Run weekly as a returns ops health check; pair with `return-reason-analysis` to correlate slow processing with specific return reason types.
- Note that `processing_days` measures calendar days; adjust your SLA threshold accordingly if your team only processes returns on business days.
Read more
name: shopify-admin-return-processing-sla role: returns description: "Read-only: measures average time from return request to refund completion, surfacing SLA breaches." toolkit: shopify-admin, shopify-admin-execution api_version: "2025-01" graphql_operations: - returns:query - orders:query status: stable compatibility: Claude Code, Cursor, Codex, Gemini CLI
Purpose
Calculates the time from return request creation to refund issuance for all completed returns in a period. Surfaces the average processing time, identifies orders that breached a configurable SLA threshold, and lists the longest-pending open returns. Read-only — no mutations.
Prerequisites
- Authenticated Shopify CLI session: `shopify store auth --store <domain> --scopes read_orders,read_returns`
- API scopes: `read_orders`, `read_returns`
Parameters
| Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | store | string | yes | — | Store domain (e.g., mystore.myshopify.com) | | days_back | integer | no | 30 | Lookback window for return requests | | sla_days | integer | no | 5 | Maximum acceptable days from request to refund | | format | string | no | human | Output format: `human` or `json` |
Safety
> ℹ️ Read-only skill — no mutations are executed. Safe to run at any time.
Workflow Steps
1. **OPERATION:** `returns` — query **Inputs:** `query: "created_at:>='<NOW - days_back days>'"`, `first: 250`, pagination cursor **Expected output:** Returns with `createdAt`, `status`, `refunds { createdAt }`, `order { name }`
2. For each completed return: calculate `processing_days = refund.createdAt - return.createdAt`
3. Identify SLA breaches: `processing_days > sla_days`
4. **OPERATION:** `orders` — query **Inputs:** Filter for orders with `return_status:open` to find pending returns exceeding SLA **Expected output:** Open return orders with request dates
GraphQL Operations
# returns:query — validated against api_version 2025-01
query ReturnProcessingTimes($query: String!, $after: String) {
returns(first: 250, after: $after, query: $query) {
edges {
node {
id
status
createdAt
order {
id
name
}
refunds(first: 3) {
id
createdAt
totalRefundedSet {
shopMoney {
amount
currencyCode
}
}
}
returnLineItems(first: 10) {
edges {
node {
quantity
returnReason
}
}
}
}
}
pageInfo {
hasNextPage
endCursor
}
}
}# orders:query — validated against api_version 2025-01
query OrdersWithOpenReturns($query: String!, $after: String) {
orders(first: 250, after: $after, query: $query) {
edges {
node {
id
name
createdAt
returnStatus
returns(first: 5) {
edges {
node {
id
status
createdAt
}
}
}
}
}
pageInfo {
hasNextPage
endCursor
}
}
}Session Tracking
**Claude MUST emit the following output at each stage. This is mandatory.**
**On start**, emit:
╔══════════════════════════════════════════════╗ ║ SKILL: Return Processing SLA ║ ║ 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):
══════════════════════════════════════════════
RETURN PROCESSING SLA (<days_back> days, SLA: <sla_days> days)
Returns analyzed: <n>
Avg processing time: <d> days
Within SLA (<sla_days>d): <n> (<pct>%)
SLA breaches: <n> (<pct>%)
Open returns pending: <n>
Longest open returns (no refund yet):
Order <name> — requested <n> days ago
Output: return_sla_<date>.csv
══════════════════════════════════════════════For `format: json`, emit:
{
"skill": "return-processing-sla",
"store": "<domain>",
"period_days": 30,
"sla_days": 5,
"returns_analyzed": 0,
"avg_processing_days": 0,
"within_sla_count": 0,
"sla_breach_count": 0,
"open_pending_count": 0,
"output_file": "return_sla_<date>.csv"
}Output Format
CSV file `return_sla_<YYYY-MM-DD>.csv` with columns: `return_id`, `order_name`, `return_requested_at`, `refunded_at`, `processing_days`, `sla_breach`, `return_status`
Error Handling
| Error | Cause | Recovery | |-------|-------|----------| | `THROTTLED` | API rate limit exceeded | Wait 2 seconds, retry up to 3 times | | No refund on completed return | Exchange-only resolution | Exclude from time calculation, note as exchange | | No returns in window | No return activity | Exit with summary: 0 returns |
Best Practices
- Set `sla_days` to match your published returns policy (e.g., "refunds processed within 5 business days").
- Use the open returns list to proactively contact customers whose returns have been waiting more than `sla_days` — reducing WISMO-style "where's my refund" tickets.
- Run weekly as a returns ops health check; pair with `return-reason-analysis` to correlate slow processing with specific return reason types.
- Note that `processing_days` measures calendar days; adjust your SLA threshold accordingly if your team only processes returns on business days.
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