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Agent skill

Shopify Admin Checkout Abandonment Report

by 40RTY-ai in 40RTY-ai/shopify-admin-skills

Aggregate abandoned checkout data for a time range, broken down by cart value bucket and hour of day (UTC).

MITAuto-check passed

Install Shopify Admin Checkout Abandonment Report

skills CLI
$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-checkout-abandonment-report -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-checkout-abandonment-report --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/conversion-optimization/shopify-admin-checkout-abandonment-report .claude/skills/shopify-admin-checkout-abandonment-report && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
shopify-admin-checkout-abandonment-report
GitHub stars
194
Token cost
~1.6k tokens
SKILL.md length
466 words
Files
1
Skills in repo
116
Repo updated
First seen
Licence
MIT

At a glance

Aggregate abandoned checkout data for a time range, broken down by cart value bucket and hour of day (UTC).

  • Works in 5 steps: For high-traffic stores, narrow the date… → The default cart_value_buckets of… → Hours are reported in UTC — convert to… → …
  • Tasks that involve Conversion rate optimization
  • SKILL.md covers Purpose, Prerequisites, Parameters and Workflow Steps, plus 5 more sections
  • Calls shopify

What it does

Shopify Admin Checkout Abandonment Report is an agent skill from 40RTY-ai/shopify-admin-skills. Aggregate abandoned checkout data for a time range, broken down by cart value bucket and hour of day (UTC).

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Claude Code, Cursor, Codex, Gemini CLI

It works with Shopify. The repository describes itself as: Community-maintained AI agent skills for operating Shopify stores — workflows, optimization, reports and more. The licence is MIT.

When your agent uses it

  • Tasks that involve Conversion rate optimization

Example prompts

  • “/shopify-admin-checkout-abandonment-report”

Requirements

  • Compatibility (from SKILL.md): Claude Code, Cursor, Codex, Gemini CLI

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  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…

What it can do on your machine

Read from SKILL.md and the folder at commit 6765cb4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • shopify

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Claude Code, Cursor, Codex, Gemini CLI

    From compatibility in the SKILL.md frontmatter.

Context cost

Shopify Admin Checkout Abandonment Report loads about 1.6k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 466 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from 40RTY-ai/shopify-admin-skills at commit 6765cb4, republished under its MIT licence (© 40RTY-ai). 466 words, ~1,562 tokens.

Download SKILL.mdSave it as .claude/skills/shopify-admin-checkout-abandonment-report/SKILL.md (or your agent's skills folder).
name
shopify-admin-checkout-abandonment-report
description
Aggregate abandoned checkout data for a time range, broken down by cart value bucket and hour of day (UTC).
compatibility
Claude Code, Cursor, Codex, Gemini CLI
role
conversion-optimization
toolkit
shopify-admin, shopify-admin-execution
api_version
2025-01
graphql_operations
abandonedCheckouts:query
status
stable

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

ParameterTypeRequiredDefaultDescription
storestringyes—Store domain (e.g., mystore.myshopify.com)
formatstringnohumanOutput format: human or json
dry_runboolnofalsePreview operations without executing mutations
date_range_startstringyes—Start date in ISO 8601 (e.g., 2025-01-01)
date_range_endstringyes—End date in ISO 8601 (e.g., 2025-01-31)
cart_value_bucketsarrayno[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 RangeAbandoned 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.

Show full SKILL.md (156 more words)Show less

Error Handling

ErrorCauseRecovery
No checkouts returnedNo abandoned checkouts in date rangeWiden date range or verify read_checkouts scope
Invalid date formatDate not in ISO 8601Use format YYYY-MM-DD
Rate limit (429)Too many paginated requestsNarrow 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.

© 40RTY-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/conversion-optimization/shopify-admin-checkout-abandonment-report of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Checkout Abandonment Report next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Shopify Admin Checkout Abandonment Report compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shopify Admin Checkout Abandonment Report this skill40RTY-ai/shopify-admin-skills194—~1.6kAutomated safety check: PassMIT
E-commerce Visual Copywritingfeichanggege/ecommerce-visual-copywriting-skill867—~1.3kAutomated safety check: PassMIT
Google Analytics 4 Setupooiyeefei/ccc495—~2.2kAutomated safety check: PassMIT
Shopifythatrebeccarae/claude-marketing161—~2.4kAutomated safety check: NotesMIT
Shopify Marketingnexscope-ai/eCommerce-Skills1.1k—~3.8kAutomated safety check: PassMIT
FLOW SEO FrameworkAgriciDaniel/claude-seo19k2 repos~1.4kAutomated safety check: PassMIT

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Works with

Questions about Shopify Admin Checkout Abandonment Report

What does Shopify Admin Checkout Abandonment Report do?

Aggregate abandoned checkout data for a time range, broken down by cart value bucket and hour of day (UTC). Shopify Admin Checkout Abandonment Report is an agent skill from 40RTY-ai/shopify-admin-skills. Aggregate abandoned checkout data for a time range, broken down by cart value bucket and hour of day (UTC).

When should I use Shopify Admin Checkout Abandonment Report?

Shopify Admin Checkout Abandonment Report fits situations like: tasks that involve Conversion rate optimization.

How do I install Shopify Admin Checkout Abandonment Report in Claude Code?

Run `npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-checkout-abandonment-report -a claude-code`. Or copy the skill folder (skills/conversion-optimization/shopify-admin-checkout-abandonment-report in 40RTY-ai/shopify-admin-skills) into .claude/skills/shopify-admin-checkout-abandonment-report in your project. Claude Code loads it when a task matches its description.

How do I install Shopify Admin Checkout Abandonment Report in Codex?

Run `npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-checkout-abandonment-report -a codex`. Or copy the skill folder (skills/conversion-optimization/shopify-admin-checkout-abandonment-report in 40RTY-ai/shopify-admin-skills) into .agents/skills/shopify-admin-checkout-abandonment-report in your project. Codex loads it when a task matches its description.

Can I use Shopify Admin Checkout Abandonment Report in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-checkout-abandonment-report -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/shopify-admin-checkout-abandonment-report, .gemini/skills/shopify-admin-checkout-abandonment-report, .github/skills/shopify-admin-checkout-abandonment-report and .opencode/skills/shopify-admin-checkout-abandonment-report in your project.

What does Shopify Admin Checkout Abandonment Report need to run?

Going by SKILL.md and its folder, Shopify Admin Checkout Abandonment Report needs the command-line tools its instructions call (shopify). Compatibility (from SKILL.md): Claude Code, Cursor, Codex, Gemini CLI.

Does Shopify Admin Checkout Abandonment Report access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Shopify Admin Checkout Abandonment Report safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Shopify Admin Checkout Abandonment Report use?

Shopify Admin Checkout Abandonment Report is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Shopify Admin Checkout Abandonment Report use?

About 1.6k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Shopify Admin Checkout Abandonment Report?

Skills that share tags, products or a category with Shopify Admin Checkout Abandonment Report: E-commerce Visual Copywriting (feichanggege/ecommerce-visual-copywriting-skill, 867 stars), Google Analytics 4 Setup (ooiyeefei/ccc, 495 stars), Shopify (thatrebeccarae/claude-marketing, 161 stars) and Shopify Marketing (nexscope-ai/eCommerce-Skills, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Shopify Admin Checkout Abandonment Report?

40RTY-ai (a GitHub organization) maintains it in 40RTY-ai/shopify-admin-skills, which has 194 GitHub stars. The repository holds 116 skills in this directory. The repository was last updated on August 14, 2026.

Source: 40RTY-ai/shopify-admin-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.