Agent skill

Shopify Admin Top Product Performance

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

Rank products by revenue, units sold, and refund rate over a date range by aggregating order line items.

MITAuto-check passed

Install Shopify Admin Top Product Performance

skills CLI
$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-top-product-performance -a claude-code

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

GitHub CLI
$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-top-product-performance --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-top-product-performance .claude/skills/shopify-admin-top-product-performance && 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-top-product-performance
GitHub stars
194
Token cost
~1.6k tokens
SKILL.md length
420 words
Files
1
Skills in repo
116
Repo updated
First seen
Licence
MIT

At a glance

Rank products by revenue, units sold, and refund rate over a date range by aggregating order line items.

  • Works in 5 steps: For stores with many orders, use a… → sort_by: refund_rate highlights products… → Revenue figures are gross (before… → …
  • 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 Top Product Performance is an agent skill from 40RTY-ai/shopify-admin-skills. Rank products by revenue, units sold, and refund rate over a date range by aggregating order line items.

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-top-product-performance”

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 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 (after refunds) — use net revenue for accurate profitability ranking.
  4. Products that have been deleted will still appear if they were purchased in the date range — they show with product_id: null and their…
  5. Combine with discount-ab-analysis to see which discount codes drove the most revenue for your top products.

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 Top Product Performance loads about 1.6k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 420 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
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). 420 words, ~1,589 tokens.

Download SKILL.mdSave it as .claude/skills/shopify-admin-top-product-performance/SKILL.md (or your agent's skills folder).
name
shopify-admin-top-product-performance
description
Rank products by revenue, units sold, and refund rate over a date range by aggregating order line items.
compatibility
Claude Code, Cursor, Codex, Gemini CLI
role
conversion-optimization
toolkit
shopify-admin, shopify-admin-execution
api_version
2025-01
graphql_operations
orders:query
status
stable

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

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)
top_nintegerno20Number of top products to show in the ranked output
sort_bystringnorevenueRanking 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

graphql
# 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:

json
{
  "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:

RankProductUnits SoldGross RevenueRefunded AmountNet RevenueRefund 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.

Show full SKILL.md (150 more words)Show less

Error Handling

ErrorCauseRecovery
No orders returnedNo orders in date rangeWiden date range
variant is null on a line itemProduct or variant was deletedStill aggregated by title; product_id will be null
Rate limit (429)Too many paginated requestsNarrow 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 (after refunds) — use net revenue for accurate profitability ranking.
  4. Products that have been deleted will still appear if they were purchased in the date range — they show with product_id: null and their title from the order line item.
  5. Combine with discount-ab-analysis to see which discount codes drove the most revenue for your top products.

© 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-top-product-performance of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Top Product Performance 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 Top Product Performance compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shopify Admin Top Product Performance 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

Similar skills

  • E-commerce Visual Copywriting

    feichanggege/ecommerce-visual-copywriting-skill

    Turns product details, packaging, target platform and audience into an executable e-commerce image plan with copy, storyboards, image prompts and a compliance review.

    867 GitHub stars~1.3k tokensUpdated 24 days ago
    Writing & ContentAuto-check passed
  • Sets up GA4 on a website and wires one real conversion event end to end, verified in DebugView before any money goes into ads.

    495 GitHub stars~2.2k tokensUpdated 2 mo ago
    Marketing & SEOAuto-check passed
  • Shopify

    thatrebeccarae/claude-marketing

    Shopify e-commerce platform marketing expertise. An agent skill from thatrebeccarae/claude-marketing.

    161 GitHub stars~2.4k tokensUpdated 4 mo ago
    Marketing & SEOAuto-check: notes
  • Shopify Marketing

    nexscope-ai/eCommerce-Skills

    Comprehensive Shopify marketing strategy and execution. An agent skill from nexscope-ai/eCommerce-Skills.

    1.1k GitHub stars~3.8k tokensUpdated 1 mo ago
    Marketing & SEOAuto-check passed
  • FLOW SEO Framework

    AgriciDaniel/claude-seo

    Brings the FLOW framework's stage-specific SEO prompts into the agent, from keyword discovery through backlinks, on-page work and conversion to local SEO, loaded on demand.

    19k GitHub starsUsed in 2 repos~1.4k tokens
    Marketing & SEOAuto-check passed
  • Paywalls

    coreyhaines31/marketingskills

    When the user wants to create or optimize in-app paywalls, upgrade screens, upsell modals, or feature gates.

    54k GitHub starsUsed in 1 repo~1.4k tokens
    Marketing & SEOAuto-check passed

More from 40RTY-ai/shopify-admin-skills

All 116 skills in this repo
  • Shopify Admin Abandoned Cart Recovery

    40RTY-ai/shopify-admin-skills

    Query checkouts abandoned in the last N days, generate unique discount codes per customer, and tag them for re-engagement.

    194 GitHub stars~1.9k tokensUpdated 1 mo ago
    Auto-check passed
  • Shopify Admin Address Correction

    40RTY-ai/shopify-admin-skills

    Update the shipping address on an unfulfilled order before it ships.

    194 GitHub stars~1.5k tokensUpdated 1 mo ago
    Auto-check passed
  • Shopify Admin Agentic Crawler Access

    40RTY-ai/shopify-admin-skills

    Edit the theme's robots.txt.liquid to explicitly allow AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, OAI-SearchBot, Amazonbot) so AI assistants are permitted to read the catalog.

    194 GitHub stars~1.8k tokensUpdated 1 mo ago
    Auto-check passed
  • Rewrite thin product descriptions into structured, fact-rich copy (materials, fit, use-cases, the words shoppers actually type) so AI agents have something concrete to quote and match.

    194 GitHub stars~1.6k tokensUpdated 1 mo ago
    Auto-check passed
  • Shopify Admin Agentic Image Alt Text

    40RTY-ai/shopify-admin-skills

    Generate and set descriptive alt text on product images so AI agents (which can't 'see' pixels) can understand and recommend what each product looks like.

    194 GitHub stars~1.6k tokensUpdated 1 mo ago
    Auto-check passed
  • Shopify Admin Agentic LLMs Txt

    40RTY-ai/shopify-admin-skills

    Generate and publish an /llms.txt guide (brand summary, flagship products, key policies, contact) via a theme template so AI assistants get a curated, machine-readable map of the store.

    194 GitHub stars~1.8k tokensUpdated 1 mo ago
    Auto-check passed

Works with

Questions about Shopify Admin Top Product Performance

What does Shopify Admin Top Product Performance do?

Rank products by revenue, units sold, and refund rate over a date range by aggregating order line items. Shopify Admin Top Product Performance is an agent skill from 40RTY-ai/shopify-admin-skills. Rank products by revenue, units sold, and refund rate over a date range by aggregating order line items.

When should I use Shopify Admin Top Product Performance?

Shopify Admin Top Product Performance fits situations like: tasks that involve Conversion rate optimization.

How do I install Shopify Admin Top Product Performance in Claude Code?

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

How do I install Shopify Admin Top Product Performance in Codex?

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

Can I use Shopify Admin Top Product Performance 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-top-product-performance -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-top-product-performance, .gemini/skills/shopify-admin-top-product-performance, .github/skills/shopify-admin-top-product-performance and .opencode/skills/shopify-admin-top-product-performance in your project.

What does Shopify Admin Top Product Performance need to run?

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

Does Shopify Admin Top Product Performance 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 Top Product Performance 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 Top Product Performance use?

Shopify Admin Top Product Performance 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 Top Product Performance use?

About 1.6k tokens (SKILL.md is roughly 6.4k 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 Top Product Performance?

Skills that share tags, products or a category with Shopify Admin Top Product Performance: 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 Top Product Performance?

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.