/shopify-admin-top-product-performance
Rank products by revenue, units sold, and refund rate over a date range by aggregating order line items.
$ npx -y skills add 40rty-ai/shopify-admin-skills --skill shopify-admin-top-product-performance --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-top-product-performance
Context preview
The summary Claude sees to decide when to auto-load this skill.
Rank products by revenue, units sold, and refund rate over a date range by aggregating order line items.
SKILL.md
shopify-admin-top-product-performance.SKILL.mdname: shopify-admin-top-product-performance
role: conversion-optimization
description: "Rank products by revenue, units sold, and refund rate over a date range by aggregating order line items."
toolkit: shopify-admin, shopify-admin-execution
api_version: "2025-01"
graphql_operations:
- orders:query
status: stable
compatibility: Claude Code, Cursor, Codex, Gemini CLI
Purpose
Ranks products by revenue, units sold, and refund rate for a given date range by aggregating order line items and refund line items across all orders in the period. Useful for identifying top performers and products with high refund rates. Read-only — no mutations are executed.
Prerequisites
- Authenticated Shopify CLI session: `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 | | date_range_start | string | yes | — | Start date in ISO 8601 (e.g., `2025-01-01`) | | date_range_end | string | yes | — | End date in ISO 8601 (e.g., `2025-01-31`) | | top_n | integer | no | 20 | Number of top products to show in the ranked output | | sort_by | string | no | revenue | Ranking metric: `revenue`, `units`, or `refund_rate` |
Workflow Steps
1. **OPERATION:** `orders` — query **Inputs:** `first: 250`, `query: "created_at:>='<date_range_start>' created_at:<='<date_range_end>'"`, pagination cursor **Expected output:** All orders in range with line items (`title`, `quantity`, `originalTotalSet`, `refundableQuantity`) and refund line items; paginate until `hasNextPage: false`; aggregate in-memory per product: sum `originalTotalSet` for gross revenue, sum refund amounts for net revenue, sum quantities for units sold, compute refund rate
GraphQL Operations
# orders:query (for product revenue) — validated against api_version 2025-01
query OrdersForProductPerformance($first: Int!, $after: String, $query: String) {
orders(first: $first, after: $after, query: $query) {
edges {
node {
id
createdAt
lineItems(first: 50) {
edges {
node {
title
quantity
variant {
id
sku
product {
id
title
}
}
originalTotalSet {
shopMoney { amount currencyCode }
}
refundableQuantity
}
}
}
refunds {
refundLineItems(first: 50) {
edges {
node {
quantity
lineItem {
variant {
id
product { id title }
}
}
subtotalSet {
shopMoney { amount currencyCode }
}
}
}
}
}
}
}
pageInfo {
hasNextPage
endCursor
}
}
}Session Tracking
**Claude MUST emit the following output at each stage. This is mandatory.**
**On start**, emit:
╔══════════════════════════════════════════════╗
║ SKILL: top-product-performance ║
║ 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
Orders processed: <n>
Products ranked: <n>
Date range: <start> to <end>
Sort by: <revenue|units|refund_rate>
Errors: 0
Output: none
══════════════════════════════════════════════
For `format: json`, emit:
{
"skill": "top-product-performance",
"store": "<domain>",
"started_at": "<ISO8601>",
"completed_at": "<ISO8601>",
"dry_run": false,
"steps": [
{ "step": 1, "operation": "OrdersForProductPerformance", "type": "query", "params_summary": "<date_range_start> to <date_range_end>", "result_summary": "<n> orders processed", "skipped": false }
],
"outcome": {
"orders_processed": 0,
"products_ranked": 0,
"date_range_start": "<date_range_start>",
"date_range_end": "<date_range_end>",
"sort_by": "revenue",
"results": [],
"errors": 0,
"output_file": null
}
}Output Format
Ranked table displayed inline (no CSV), truncated to `top_n` entries:
| Rank | Product | Units Sold | Gross Revenue | Refunded Amount | Net Revenue | Refund Rate % | |------|---------|------------|---------------|-----------------|-------------|---------------| | 1 | ... | ... | ... | ... | ... | ... |
For `format: json`, `results` is an array of objects with keys: `rank`, `product_id`, `product_title`, `units_sold`, `gross_revenue`, `refunded_amount`, `net_revenue`, `refund_rate_pct`.
Error Handling
| Error | Cause | Recovery | |-------|-------|----------| | No orders returned | No orders in date range | Widen date range | | `variant` is null on a line item | Product or variant was deleted | Still aggregated by title; product_id will be null | | Rate limit (429) | Too many paginated requests | Narrow date range |
Best Practices
1. For stores with many orders, use a 30-day window first. Wider windows paginate more aggressively and take longer. 2. `sort_by: refund_rate` highlights products with quality or expectation issues — a refund rate above 10% is worth investigating. 3. Revenue figures are gross (before refunds) and net
Read more
name: shopify-admin-top-product-performance role: conversion-optimization description: "Rank products by revenue, units sold, and refund rate over a date range by aggregating order line items." toolkit: shopify-admin, shopify-admin-execution api_version: "2025-01" graphql_operations: - orders:query status: stable compatibility: Claude Code, Cursor, Codex, Gemini CLI
Purpose
Ranks products by revenue, units sold, and refund rate for a given date range by aggregating order line items and refund line items across all orders in the period. Useful for identifying top performers and products with high refund rates. Read-only — no mutations are executed.
Prerequisites
- Authenticated Shopify CLI session: `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 | | date_range_start | string | yes | — | Start date in ISO 8601 (e.g., `2025-01-01`) | | date_range_end | string | yes | — | End date in ISO 8601 (e.g., `2025-01-31`) | | top_n | integer | no | 20 | Number of top products to show in the ranked output | | sort_by | string | no | revenue | Ranking metric: `revenue`, `units`, or `refund_rate` |
Workflow Steps
1. **OPERATION:** `orders` — query **Inputs:** `first: 250`, `query: "created_at:>='<date_range_start>' created_at:<='<date_range_end>'"`, pagination cursor **Expected output:** All orders in range with line items (`title`, `quantity`, `originalTotalSet`, `refundableQuantity`) and refund line items; paginate until `hasNextPage: false`; aggregate in-memory per product: sum `originalTotalSet` for gross revenue, sum refund amounts for net revenue, sum quantities for units sold, compute refund rate
GraphQL Operations
# orders:query (for product revenue) — validated against api_version 2025-01
query OrdersForProductPerformance($first: Int!, $after: String, $query: String) {
orders(first: $first, after: $after, query: $query) {
edges {
node {
id
createdAt
lineItems(first: 50) {
edges {
node {
title
quantity
variant {
id
sku
product {
id
title
}
}
originalTotalSet {
shopMoney { amount currencyCode }
}
refundableQuantity
}
}
}
refunds {
refundLineItems(first: 50) {
edges {
node {
quantity
lineItem {
variant {
id
product { id title }
}
}
subtotalSet {
shopMoney { amount currencyCode }
}
}
}
}
}
}
}
pageInfo {
hasNextPage
endCursor
}
}
}Session Tracking
**Claude MUST emit the following output at each stage. This is mandatory.**
**On start**, emit:
╔══════════════════════════════════════════════╗ ║ SKILL: top-product-performance ║ ║ 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 Orders processed: <n> Products ranked: <n> Date range: <start> to <end> Sort by: <revenue|units|refund_rate> Errors: 0 Output: none ══════════════════════════════════════════════
For `format: json`, emit:
{
"skill": "top-product-performance",
"store": "<domain>",
"started_at": "<ISO8601>",
"completed_at": "<ISO8601>",
"dry_run": false,
"steps": [
{ "step": 1, "operation": "OrdersForProductPerformance", "type": "query", "params_summary": "<date_range_start> to <date_range_end>", "result_summary": "<n> orders processed", "skipped": false }
],
"outcome": {
"orders_processed": 0,
"products_ranked": 0,
"date_range_start": "<date_range_start>",
"date_range_end": "<date_range_end>",
"sort_by": "revenue",
"results": [],
"errors": 0,
"output_file": null
}
}Output Format
Ranked table displayed inline (no CSV), truncated to `top_n` entries:
| Rank | Product | Units Sold | Gross Revenue | Refunded Amount | Net Revenue | Refund Rate % | |------|---------|------------|---------------|-----------------|-------------|---------------| | 1 | ... | ... | ... | ... | ... | ... |
For `format: json`, `results` is an array of objects with keys: `rank`, `product_id`, `product_title`, `units_sold`, `gross_revenue`, `refunded_amount`, `net_revenue`, `refund_rate_pct`.
Error Handling
| Error | Cause | Recovery | |-------|-------|----------| | No orders returned | No orders in date range | Widen date range | | `variant` is null on a line item | Product or variant was deleted | Still aggregated by title; product_id will be null | | Rate limit (429) | Too many paginated requests | Narrow date range |
Best Practices
1. For stores with many orders, use a 30-day window first. Wider windows paginate more aggressively and take longer. 2. `sort_by: refund_rate` highlights products with quality or expectation issues — a refund rate above 10% is worth investigating. 3. Revenue figures are gross (before refunds) and net
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