shopify-admin-discount-cost-trend
SkillCommerce & financeRead-only: tracks total discount dollars given over configurable time buckets (week/month/quarter), broken down by discount type and code.
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Then ask your AI: use the shopify-admin-discount-cost-trend skill
What this skill tells your AI
The instructions your AI receives, as published by 40rty-ai/shopify-admin-skills in skills/finance/shopify-admin-discount-cost-trend/SKILL.md and read by ahel’s review.
Purpose
Tracks how much money the store gave away in discounts over time, bucketed by week, month, or quarter, and broken down by discount code and discount type (percentage / fixed amount / free shipping / automatic). Answers: "is our discount spend trending up or down, and which campaigns are driving it?" Read-only — no mutations. Complements discount-roi-calculator (per-discount return) with a longitudinal view of total cost.
Prerequisites
- Authenticated Shopify CLI session:
shopify store auth --store <domain> --scopes read_orders - API scopes:
read_orders
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| store | string | yes | — | Store domain (e.g., mystore.myshopify.com) |
| period | string | no | month | Bucket size: week, month, or quarter |
| periods_back | integer | no | 12 | Number of buckets to report |
| top_codes | integer | no | 10 | Top discount codes to break out individually; remainder grouped as other |
| include_shipping_discounts | bool | no | true | Whether to count shipping discounts in the totals |
| 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
-
Compute window from
period×periods_back(e.g.,month× 12 → last 12 calendar months starting from the first day of the bucket 11 months ago) -
OPERATION:
orders— query Inputs:query: "created_at:>='<window_start>' financial_status:paid",first: 250, selectcreatedAt,discountCodes,currentTotalDiscountsSet,totalDiscountsSet,cartDiscountAmountSet,discountApplications { allocationMethod, targetType, value, ... on DiscountCodeApplication { code }, ... on AutomaticDiscountApplication { title }, ... on ManualDiscountApplication { title } },shippingLines { discountAllocations { allocatedAmountSet } }, pagination cursor Expected output: All paid orders in the window with discount data; paginate untilhasNextPage: false -
For each order, attribute discount cost:
cart_discount=currentTotalDiscountsSet.shopMoney.amountshipping_discount= sum ofshippingLines.discountAllocations.allocatedAmountSet(only ifinclude_shipping_discounts: true)total_discount= cart_discount + shipping_discount- Attribute by code: prefer first
discountApplications.codefor code discounts,titlefor automatic / manual
-
Bucket each order into its period (week-of-year, year-month, or year-quarter) and aggregate:
- Total discount cost per bucket
- Per discount code per bucket
- Per discount type per bucket (percentage, fixed_amount, shipping, automatic)
-
Identify top codes by total cost across the window; aggregate the rest as
other
GraphQL Operations
# orders:query — validated against api_version 2025-01
query DiscountCostTrend($query: String!, $after: String) {
orders(first: 250, after: $after, query: $query) {
edges {
node {
id
name
createdAt
discountCodes
currentTotalDiscountsSet { shopMoney { amount currencyCode } }
totalDiscountsSet { shopMoney { amount currencyCode } }
cartDiscountAmountSet { shopMoney { amount currencyCode } }
discountApplications(first: 10) {
edges {
node {
allocationMethod
targetType
targetSelection
value {
... on PricingPercentageValue { percentage }
... on MoneyV2 { amount currencyCode }
}
... on DiscountCodeApplication { code }
... on AutomaticDiscountApplication { title }
... on ManualDiscountApplication { title description }
}
}
}
shippingLines(first: 5) {
edges {
node {
title
discountAllocations {
allocatedAmountSet { shopMoney { amount currencyCode } }
}
}
}
}
}
}
pageInfo { hasNextPage endCursor }
}
}
Session Tracking
Claude MUST emit the following output at each stage. This is mandatory.
On start, emit:
╔══════════════════════════════════════════════╗
║ SKILL: Discount Cost Trend ║
║ Store: <store domain> ║
║ Period: <period> × <periods_back> ║
║ 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):
══════════════════════════════════════════════
DISCOUNT COST TREND (last <periods_back> <period>s)
Total discount cost: $<amount>
Avg per <period>: $<amount>
Latest <period>: $<amount> (<delta_vs_prev_pct>% vs prior)
By bucket:
2025-Q1 $<n> (cart $<n> / shipping $<n>)
2025-Q2 $<n> (cart $<n> / shipping $<n>)
By discount type:
code $<n> (<pct>%)
automatic $<n> (<pct>%)
manual $<n> (<pct>%)
shipping $<n> (<pct>%)
Top codes (by total cost):
"<code>" $<n> (<pct>%)
"<code>" $<n> (<pct>%)
other $<n> (<pct>%)
Output: discount_cost_trend_<date>.csv
══════════════════════════════════════════════
For format: json, emit:
{
"skill": "discount-cost-trend",
"store": "<domain>",
"period": "month",
"periods_back": 12,
"total_discount_cost": 0,
"by_bucket": [],
"by_type": { "code": 0, "automatic": 0, "manual": 0, "shipping": 0 },
"top_codes": [],
"currency": "USD",
"output_file": "discount_cost_trend_<date>.csv"
}
Output Format
CSV file discount_cost_trend_<YYYY-MM-DD>.csv with columns:
bucket, discount_code_or_title, discount_type, orders_count, cart_discount, shipping_discount, total_discount, currency
Error Handling
| Error | Cause | Recovery |
|---|---|---|
THROTTLED | API rate limit exceeded | Wait 2 seconds, retry up to 3 times |
| Stacked discount codes | Multiple codes on one order | Attribute proportionally to each code by their value share, or label as multi-code if equal |
| Manual discount with no title | Cashier-entered with empty title | Group as manual:untitled |
| Multi-currency orders | Presentment currency != shop currency | Sum on shopMoney.amount (shop currency) for consistency |
Best Practices
- Use
period: weekfor promotional businesses with frequent campaigns;period: monthfor stores with steady evergreen offers;period: quarterfor board reporting. - A flat or rising trend with no campaign activity often points to automatic discount creep — review automatic discounts that have no end date.
- Cross-reference the latest bucket against
discount-roi-calculatorto verify the cost increase is producing matching incremental revenue. - Set
include_shipping_discounts: falseif your accounting books shipping subsidy separately from product discounts. - Set up monthly automation: discount spend that drifts above budget should trigger a finance review before it shows up in margin reports.
Signals
- GitHub stars
- 187
- Forks
- 18
- Last commit
- Aug 2026
ahel review
S4info
community integration — published by 40rty-ai, not shopify
Automated review, not a security audit. Ruleset v1.
Advanced
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- Gateway key
shopify-admin-discount-cost-trend- Source
- github.com/40rty-ai/shopify-admin-skills