40RTY-ai
Registry indexed
shopify-admin-checkout-abandonment-report
Aggregate abandoned checkout data for a time range, broken down by cart value bucket and hour of day (UTC).
Registry indexed
Aggregate abandoned checkout data for a time range, broken down by cart value bucket and hour of day (UTC).
Aggregate abandoned checkout data for a time range, broken down by cart value bucket and hour of day (UTC).
Source documentation, not instructions for this website. Review permissions before running any commands.
Aggregates abandoned checkout data broken down by cart value bucket and hour of day (UTC). Helps identify when and at what price point customers are most likely to abandon checkout. Scoped to what the abandonedCheckouts API provides — device type and geographic location are not available in this API and are not reported.
shopify auth login --store <domain>read_checkouts| 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) |
| cart_value_buckets | array | no | [0, 25, 50, 100, 250] | Array of thresholds defining cart value bands (e.g., [0,25,50,100,250] creates bands: $0–25, $25–50, $50–100, $100–250, $250+) |
abandonedCheckouts — query
Inputs: first: 250, query: "created_at:>='<date_range_start>' created_at:<='<date_range_end>'", pagination cursor
Expected output: All abandoned checkouts in range with totalPrice and createdAt; paginate until hasNextPage: false; then aggregate in-memory: (1) count by cart value bucket, (2) count by hour of day (UTC, 0–23)# abandonedCheckouts:query — validated against api_version 2025-04
query AbandonedCheckoutsReport($first: Int!, $after: String, $query: String) {
abandonedCheckouts(first: $first, after: $after, query: $query) {
edges {
node {
id
createdAt
totalPriceSet {
shopMoney {
amount
currencyCode
}
}
customer {
defaultEmailAddress {
emailAddress
}
}
lineItems {
edges {
node {
title
quantity
variant {
price
}
}
}
}
}
}
pageInfo {
hasNextPage
endCursor
}
}
}
Claude MUST emit the following output at each stage. This is mandatory.
On start, emit:
╔══════════════════════════════════════════════╗
║ SKILL: checkout-abandonment-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
Total abandoned: <n>
Date range: <start> to <end>
Errors: 0
Output: none
══════════════════════════════════════════════
For format: json, emit:
{
"skill": "checkout-abandonment-report",
"store": "<domain>",
"started_at": "<ISO8601>",
"completed_at": "<ISO8601>",
"dry_run": false,
"steps": [
{ "step": 1, "operation": "AbandonedCheckoutsReport", "type": "query", "params_summary": "<date_range_start> to <date_range_end>", "result_summary": "<n> checkouts", "skipped": false }
],
"outcome": {
"total_abandoned": 0,
"date_range_start": "<date_range_start>",
"date_range_end": "<date_range_end>",
"by_cart_value": [
{ "range": "$0 – $25", "count": 0, "pct": 0.0 }
],
"by_hour_utc": [
{ "hour": "00:00", "count": 0, "pct": 0.0 }
],
"errors": 0,
"output_file": null
}
}
Two tables displayed inline (no CSV):
Table 1: Abandonment by Cart Value Bucket
| Cart Value Range | Abandoned Checkouts | % of Total |
|---|---|---|
| $0 – $25 | ... | ... |
| $25 – $50 | ... | ... |
| $50 – $100 | ... | ... |
| $100 – $250 | ... | ... |
| $250+ | ... | ... |
Table 2: Abandonment by Hour of Day (UTC)
| Hour (UTC) | Abandoned Checkouts | % of Total |
|---|---|---|
| 00:00 | ... | ... |
| 01:00 | ... | ... |
| 02:00 | ... | ... |
| ... |
For format: json, by_cart_value is an array of {range, count, pct} objects; by_hour_utc is an array of {hour, count, pct} objects.
Note: Device type and geographic location are not available in the abandonedCheckouts API and are not reported by this skill.
| Error | Cause | Recovery |
|---|---|---|
| No checkouts returned | No abandoned checkouts in date range | Widen date range or verify read_checkouts scope |
| Invalid date format | Date not in ISO 8601 | Use format YYYY-MM-DD |
| Rate limit (429) | Too many paginated requests | Narrow date range or reduce first to 100 |
cart_value_buckets of [0,25,50,100,250] works for most stores — adjust thresholds to match your AOV distribution.email is included in the query result — combine with the abandoned-cart-recovery skill to act on the customers most likely to convert based on their cart value tier.name: shopify-admin-checkout-abandonment-report role: conversion-optimization description: "Aggregate abandoned checkout data for a time range, broken down by cart value bucket and hour of day (UTC)." toolkit: shopify-admin, shopify-admin-execution api_version: "2025-01" graphql_operations: - abandonedCheckouts:query status: stable compatibility: Claude Code, Cursor, Codex, Gemini CLI
---
name: shopify-admin-checkout-abandonment-report
role: conversion-optimization
description: "Aggregate abandoned checkout data for a time range, broken down by cart value bucket and hour of day (UTC)."
toolkit: shopify-admin, shopify-admin-execution
api_version: "2025-01"
graphql_operations:
- abandonedCheckouts:query
status: stable
compatibility: Claude Code, Cursor, Codex, Gemini CLI
---
## Purpose
Aggregates abandoned checkout data broken down by cart value bucket and hour of day (UTC). Helps identify when and at what price point customers are most likely to abandon checkout. Scoped to what the `abandonedCheckouts` API provides — device type and geographic location are not available in this API and are not reported.
## Prerequisites
- Authenticated Shopify CLI session: `shopify auth login --store <domain>`
- API scopes: `read_checkouts`
## 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`) |
| cart_value_buckets | array | no | [0, 25, 50, 100, 250] | Array of thresholds defining cart value bands (e.g., `[0,25,50,100,250]` creates bands: $0–25, $25–50, $50–100, $100–250, $250+) |
## Workflow Steps
1. **OPERATION:** `abandonedCheckouts` — query
**Inputs:** `first: 250`, `query: "created_at:>='<date_range_start>' created_at:<='<date_range_end>'"`, pagination cursor
**Expected output:** All abandoned checkouts in range with `totalPrice` and `createdAt`; paginate until `hasNextPage: false`; then aggregate in-memory: (1) count by cart value bucket, (2) count by hour of day (UTC, 0–23)
## GraphQL Operations
```graphql
# abandonedCheckouts:query — validated against api_version 2025-04
query AbandonedCheckoutsReport($first: Int!, $after: String, $query: String) {
abandonedCheckouts(first: $first, after: $after, query: $query) {
edges {
node {
id
createdAt
totalPriceSet {
shopMoney {
amount
currencyCode
}
}
customer {
defaultEmailAddress {
emailAddress
}
}
lineItems {
edges {
node {
title
quantity
variant {
price
}
}
}
}
}
}
pageInfo {
hasNextPage
endCursor
}
}
}
```
## Session Tracking
**Claude MUST emit the following output at each stage. This is mandatory.**
**On start**, emit:
```
╔══════════════════════════════════════════════╗
║ SKILL: checkout-abandonment-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
Total abandoned: <n>
Date range: <start> to <end>
Errors: 0
Output: none
══════════════════════════════════════════════
```
For `format: json`, emit:
```json
{
"skill": "checkout-abandonment-report",
"store": "<domain>",
"started_at": "<ISO8601>",
"completed_at": "<ISO8601>",
"dry_run": false,
"steps": [
{ "step": 1, "operation": "AbandonedCheckoutsReport", "type": "query", "params_summary": "<date_range_start> to <date_range_end>", "result_summary": "<n> checkouts", "skipped": false }
],
"outcome": {
"total_abandoned": 0,
"date_range_start": "<date_range_start>",
"date_range_end": "<date_range_end>",
"by_cart_value": [
{ "range": "$0 – $25", "count": 0, "pct": 0.0 }
],
"by_hour_utc": [
{ "hour": "00:00", "count": 0, "pct": 0.0 }
],
"errors": 0,
"output_file": null
}
}
```
## Output Format
Two tables displayed inline (no CSV):
**Table 1: Abandonment by Cart Value Bucket**
| Cart Value Range | Abandoned Checkouts | % of Total |
|-----------------|---------------------|------------|
| $0 – $25 | ... | ... |
| $25 – $50 | ... | ... |
| $50 – $100 | ... | ... |
| $100 – $250 | ... | ... |
| $250+ | ... | ... |
**Table 2: Abandonment by Hour of Day (UTC)**
| Hour (UTC) | Abandoned Checkouts | % of Total |
|-----------|---------------------|------------|
| 00:00 | ... | ... |
| 01:00 | ... | ... |
| 02:00 | ... | ... |
| ... | | |
For `format: json`, `by_cart_value` is an array of `{range, count, pct}` objects; `by_hour_utc` is an array of `{hour, count, pct}` objects.
Note: Device type and geographic location are not available in the `abandonedCheckouts` API and are not reported by this skill.
## Error Handling
| Error | Cause | Recovery |
|-------|-------|----------|
| No checkouts returned | No abandoned checkouts in date range | Widen date range or verify `read_checkouts` scope |
| Invalid date format | Date not in ISO 8601 | Use format `YYYY-MM-DD` |
| Rate limit (429) | Too many paginated requests | Narrow date range or reduce `first` to 100 |
## Best Practices
1. For high-traffic stores, narrow the date range to 7–14 days for faster results; paginating 90 days of data can produce many API calls.
2. The default `cart_value_buckets` of `[0,25,50,100,250]` works for most stores — adjust thresholds to match your AOV distribution.
3. Hours are reported in UTC — convert to your store's local timezone before drawing conclusions about peak abandonment times.
4. Run this report weekly and compare the by-hour pattern to your promotional send times to find timing opportunities.
5. `email` is included in the query result — combine with the `abandoned-cart-recovery` skill to act on the customers most likely to convert based on their cart value tier.
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
66/100
Promising
Trust
62/100
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"api": "https://www.openagentskill.com/api/agent/skills/40rty-ai-shopify-admin-checkout-abandonment-report",
"audit": "https://www.openagentskill.com/skills/40rty-ai-shopify-admin-checkout-abandonment-report/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=40rty-ai-shopify-admin-checkout-abandonment-report&task=Use%20shopify-admin-checkout-abandonment-report%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20shopify-admin-checkout-abandonment-report%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20shopify-admin-checkout-abandonment-report%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/40rty-ai-shopify-admin-checkout-abandonment-report/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/40rty-ai-shopify-admin-checkout-abandonment-report"
}
}Listing source
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Audit
75/100
Needs review
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