Agent skill

Shopify Admin Discount Ab Analysis

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

Compare redemption rates and revenue performance across two or more discount codes over a specified date range.

MITAuto-check passedMarketing & SEO

Install Shopify Admin Discount Ab Analysis

skills CLI
$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-discount-ab-analysis -a claude-code

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

GitHub CLI
$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-discount-ab-analysis --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-discount-ab-analysis .claude/skills/shopify-admin-discount-ab-analysis && 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-discount-ab-analysis
GitHub stars
194
Token cost
~1.8k tokens
SKILL.md length
472 words
Files
1
Skills in repo
116
Repo updated
First seen
Licence
MIT

At a glance

Compare redemption rates and revenue performance across two or more discount codes over a specified date range.

  • Works in 2 steps: OPERATION: discountNodes — query → OPERATION: orders — query (one paginated…
  • 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 Discount Ab Analysis is an agent skill from 40RTY-ai/shopify-admin-skills. Compare redemption rates and revenue performance across two or more discount codes over a specified date range.

Its SKILL.md is about 1.8k 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 sits in Marketing & SEO, covering Conversion rate optimization. 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-discount-ab-analysis”

Requirements

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

Workflow steps

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

  1. OPERATION: discountNodes — query
  2. OPERATION: orders — query (one paginated query per discount code)

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 Discount Ab Analysis loads about 1.8k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 472 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
~1.8k

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). 472 words, ~1,833 tokens.

Download SKILL.mdSave it as .claude/skills/shopify-admin-discount-ab-analysis/SKILL.md (or your agent's skills folder).
name
shopify-admin-discount-ab-analysis
description
Compare redemption rates and revenue performance across two or more discount codes over a specified date range.
compatibility
Claude Code, Cursor, Codex, Gemini CLI
role
conversion-optimization
toolkit
shopify-admin, shopify-admin-execution
api_version
2025-01
graphql_operations
discountNodes:query, orders:query
status
stable

Purpose

Compares how different discount codes perform against each other by redemption count and revenue generated. Useful for A/B testing promotional offers without a dedicated analytics app — provide two or more codes and a date range, and the skill queries Shopify for discount metadata and order revenue, then produces a side-by-side comparison table. Read-only: no mutations are executed.

Prerequisites

  • Authenticated Shopify CLI session: shopify auth login --store <domain>
  • API scopes: read_discounts, read_orders

Parameters

ParameterTypeRequiredDefaultDescription
storestringyes—Store domain (e.g., mystore.myshopify.com)
formatstringnohumanOutput format: human or json
dry_runboolnofalsePreview operations without executing mutations
discount_codesarrayyes—Array of 2 or more discount code strings to compare (e.g., ["SAVE10", "WELCOME15"])
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)

Workflow Steps

  1. OPERATION: discountNodes — query Inputs: first: 50, query: "code:<code>" (one query per code in discount_codes) Expected output: Discount metadata: title, code strings, asyncUsageCount, status, startsAt, endsAt per code

  2. OPERATION: orders — query (one paginated query per discount code) Inputs: first: 250, query: "discount_code:<code> created_at:>='<date_range_start>' created_at:<='<date_range_end>'", pagination cursor Expected output: Orders containing the discount code with totalPriceSet; paginate until hasNextPage: false; aggregate: count, sum revenue, compute avg order value

GraphQL Operations

graphql
# discountNodes:query — validated against api_version 2025-01
query DiscountNodes($first: Int!, $query: String) {
  discountNodes(first: $first, query: $query) {
    edges {
      node {
        id
        discount {
          ... on DiscountCodeBasic {
            title
            codes(first: 10) {
              edges {
                node {
                  code
                  asyncUsageCount
                }
              }
            }
            usageLimit
            status
            startsAt
            endsAt
          }
          ... on DiscountCodeBxgy {
            title
            codes(first: 10) {
              edges {
                node {
                  code
                  asyncUsageCount
                }
              }
            }
            status
          }
          ... on DiscountCodeFreeShipping {
            title
            codes(first: 10) {
              edges {
                node {
                  code
                  asyncUsageCount
                }
              }
            }
            status
          }
        }
      }
    }
  }
}
graphql
# orders:query (by discount code) — validated against api_version 2025-01
query OrdersByDiscountCode($first: Int!, $after: String, $query: String) {
  orders(first: $first, after: $after, query: $query) {
    edges {
      node {
        id
        createdAt
        totalPriceSet {
          shopMoney { amount currencyCode }
        }
        discountCodes
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}

Session Tracking

Claude MUST emit the following output at each stage. This is mandatory.

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: discount-ab-analysis                 ║
║  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
  Codes analyzed:   <n>
  Date range:       <start> to <end>
  Errors:           0
  Output:           none
══════════════════════════════════════════════

For format: json, emit:

json
{
  "skill": "discount-ab-analysis",
  "store": "<domain>",
  "started_at": "<ISO8601>",
  "completed_at": "<ISO8601>",
  "dry_run": false,
  "steps": [
    { "step": 1, "operation": "DiscountNodes", "type": "query", "params_summary": "<n> codes queried", "result_summary": "<n> discount nodes found", "skipped": false },
    { "step": 2, "operation": "OrdersByDiscountCode", "type": "query", "params_summary": "date range <start> to <end>", "result_summary": "<n> orders aggregated", "skipped": false }
  ],
  "outcome": {
    "codes_analyzed": 0,
    "date_range_start": "<start>",
    "date_range_end": "<end>",
    "results": [
      {
        "code": "SAVE10",
        "async_usage_count": 0,
        "orders_in_range": 0,
        "total_revenue": "0.00",
        "avg_order_value": "0.00",
        "revenue_per_use": "0.00"
      }
    ],
    "errors": 0,
    "output_file": null
  }
}

Output Format

A comparison table per code (displayed inline):

CodeUses (asyncUsageCount)Orders in RangeTotal RevenueAvg Order ValueRevenue per Use
SAVE10...............
WELCOME15...............

For format: json, the results array contains one object per code with keys: code, async_usage_count, orders_in_range, total_revenue, avg_order_value, revenue_per_use.

Show full SKILL.md (185 more words)Show less

Error Handling

ErrorCauseRecovery
Discount code not foundCode doesn't exist or was deletedVerify code in Shopify admin
No orders returned for a codeNo orders used this code in the date rangeWiden date range or verify code was active
discount_codes has fewer than 2 entriesCan't do A/B with 1 codeProvide at least 2 codes
Rate limit (429)Too many paginated orders queriesWait and retry; reduce date range

Best Practices

  1. asyncUsageCount is the lifetime usage count from the discount object — orders_in_range is what was redeemed in your date window. Both are reported for full context.
  2. For codes with high usage, the orders query will paginate — larger date ranges may produce many API calls. Consider narrowing the date range for faster results.
  3. Revenue per use is the best signal for comparing codes with different usage volumes.
  4. Run this analysis at the end of a campaign period before deciding which discount strategy to repeat.
  5. If asyncUsageCount is 0 for a code, check that the code was active during the date range and correctly applied at checkout.

© 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-discount-ab-analysis of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Discount Ab Analysis 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 Discount Ab Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Shopifythatrebeccarae/claude-marketing161—~2.4kAutomated safety check: NotesMIT
Shopify Marketingnexscope-ai/eCommerce-Skills1.1k—~3.8kAutomated safety check: PassMIT
XurlLeoYeAI/openclaw-master-skills2.2k—~766Automated safety check: PassMIT
E-commerce Visual Copywritingfeichanggege/ecommerce-visual-copywriting-skill867—~1.3kAutomated safety check: PassMIT

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Works with

Categories

Questions about Shopify Admin Discount Ab Analysis

What does Shopify Admin Discount Ab Analysis do?

Compare redemption rates and revenue performance across two or more discount codes over a specified date range. Shopify Admin Discount Ab Analysis is an agent skill from 40RTY-ai/shopify-admin-skills. Compare redemption rates and revenue performance across two or more discount codes over a specified date range.

When should I use Shopify Admin Discount Ab Analysis?

Shopify Admin Discount Ab Analysis fits situations like: tasks that involve Conversion rate optimization.

How do I install Shopify Admin Discount Ab Analysis in Claude Code?

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

How do I install Shopify Admin Discount Ab Analysis in Codex?

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

Can I use Shopify Admin Discount Ab Analysis 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-discount-ab-analysis -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-discount-ab-analysis, .gemini/skills/shopify-admin-discount-ab-analysis, .github/skills/shopify-admin-discount-ab-analysis and .opencode/skills/shopify-admin-discount-ab-analysis in your project.

What does Shopify Admin Discount Ab Analysis need to run?

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

Does Shopify Admin Discount Ab Analysis 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 Discount Ab Analysis 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 Discount Ab Analysis use?

Shopify Admin Discount Ab Analysis 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 Discount Ab Analysis use?

About 1.8k tokens (SKILL.md is roughly 7.3k 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 Discount Ab Analysis?

Skills that share tags, products or a category with Shopify Admin Discount Ab Analysis: Google Analytics 4 Setup (ooiyeefei/ccc, 495 stars), Shopify (thatrebeccarae/claude-marketing, 161 stars), Shopify Marketing (nexscope-ai/eCommerce-Skills, 1.1k stars) and Xurl (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Shopify Admin Discount Ab Analysis?

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.