Agent skill

Shopify Admin Variant Performance Report

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

Rank every product variant by revenue, units sold, and refund rate, then cross-reference against current inventory to identify dead weight vs.

MITAuto-check passed

Install Shopify Admin Variant Performance Report

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-variant-performance-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-variant-performance-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/merchandising/shopify-admin-variant-performance-report .claude/skills/shopify-admin-variant-performance-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/

Paste into Claude Code

Install the "shopify-admin-variant-performance-report" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-variant-performance-report into .claude/skills/shopify-admin-variant-performance-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-variant-performance-report", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-variant-performance-report

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-variant-performance-report -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-variant-performance-report --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/merchandising/shopify-admin-variant-performance-report .agents/skills/shopify-admin-variant-performance-report && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "shopify-admin-variant-performance-report" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-variant-performance-report into .agents/skills/shopify-admin-variant-performance-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-variant-performance-report", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-variant-performance-report -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-variant-performance-report --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/merchandising/shopify-admin-variant-performance-report .cursor/skills/shopify-admin-variant-performance-report && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "shopify-admin-variant-performance-report" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-variant-performance-report into .cursor/skills/shopify-admin-variant-performance-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-variant-performance-report", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/40RTY-ai/shopify-admin-skills.git --path skills/merchandising/shopify-admin-variant-performance-report

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-variant-performance-report -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-variant-performance-report --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/merchandising/shopify-admin-variant-performance-report .gemini/skills/shopify-admin-variant-performance-report && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "shopify-admin-variant-performance-report" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-variant-performance-report into .gemini/skills/shopify-admin-variant-performance-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-variant-performance-report", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-variant-performance-report

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-variant-performance-report -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/merchandising/shopify-admin-variant-performance-report .github/skills/shopify-admin-variant-performance-report && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "shopify-admin-variant-performance-report" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-variant-performance-report into .github/skills/shopify-admin-variant-performance-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-variant-performance-report", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-variant-performance-report -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-variant-performance-report --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/merchandising/shopify-admin-variant-performance-report .opencode/skills/shopify-admin-variant-performance-report && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "shopify-admin-variant-performance-report" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-variant-performance-report into .opencode/skills/shopify-admin-variant-performance-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-variant-performance-report", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: shopify-admin-variant-performance-report
GitHub stars: 194
Token cost: ~2.2k tokens
SKILL.md length: 623 words
Files: 1
Skills in repo: 116
Repo updated: Aug 14, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Rank every product variant by revenue, units sold, and refund rate, then cross-reference against current inventory to identify dead weight vs.

Works in 3 steps: OPERATION: orders — query → OPERATION: productVariants — query → In-memory computation: Sort merged…
SKILL.md covers Purpose, Prerequisites, Parameters and Workflow Steps, plus 5 more sections
Calls shopify

What it does

Shopify Admin Variant Performance Report is an agent skill from 40RTY-ai/shopify-admin-skills. Rank every product variant by revenue, units sold, and refund rate, then cross-reference against current inventory to identify dead weight vs. top performers.

Its SKILL.md is about 2.2k 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.

Example prompts

“/shopify-admin-variant-performance-report”

Requirements

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

Workflow steps

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

OPERATION: orders — query
OPERATION: productVariants — query
In-memory computation: Sort merged dataset by sort_by metric; compute revenue-per-inventory-unit ratio (net revenue ÷ inventory quantity)…

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 Variant Performance Report loads about 2.2k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 623 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~50
When it runs · the whole SKILL.md, loaded when a task matches: ~2.2k

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). 623 words, ~2,195 tokens.

Download SKILL.mdSave it as .claude/skills/shopify-admin-variant-performance-report/SKILL.md (or your agent's skills folder).

name: shopify-admin-variant-performance-report
description: Rank every product variant by revenue, units sold, and refund rate, then cross-reference against current inventory to identify dead weight vs. top performers.
compatibility: Claude Code, Cursor, Codex, Gemini CLI
role: merchandising
toolkit: shopify-admin, shopify-admin-execution
api_version: 2025-01
graphql_operations: orders:query, productVariants:query
status: stable

Purpose

Goes beyond product-level revenue by ranking every individual variant (size, color, option combination) on revenue, units sold, and refund rate, then joining against live inventory levels. Reveals which specific SKUs are driving the business and which are tying up capital on the shelf. Read-only — no mutations are executed.

Prerequisites

Authenticated Shopify CLI session: shopify auth login --store <domain>
API scopes: read_orders, read_products (validator-confirmed: orders query traverses variant→product graph)

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`)
top_n	integer	no	30	Number of top and bottom variants to display
sort_by	string	no	revenue	Ranking metric: `revenue`, `units`, or `refund_rate`
min_units	integer	no	1	Exclude variants with fewer than N units sold in the period

Workflow Steps

OPERATION: orders — query Inputs: first: 250, query: "created_at:>='<date_range_start>' created_at:<='<date_range_end>'", pagination cursor; select lineItems with variant { id, sku, title, selectedOptions }, quantity, originalTotalSet; and refunds.refundLineItems with variant id and subtotalSet Expected output: All orders in range; paginate until hasNextPage: false; aggregate in-memory per variant.id: units sold, gross revenue, refunded units, refunded amount, refund rate
OPERATION: productVariants — query Inputs: List of variant IDs collected in step 1, first: 250, pagination cursor; select id, sku, title, selectedOptions, inventoryQuantity, product { id, title }, price Expected output: Current inventory levels and metadata for each sold variant; joined with step-1 aggregates; variants present in inventory but with zero sales are flagged as dead stock candidates
In-memory computation: Sort merged dataset by sort_by metric; compute revenue-per-inventory-unit ratio (net revenue ÷ inventory quantity) to highlight variants earning little relative to shelf space; split output into top-N performers and bottom-N by the same metric

GraphQL Operations

graphql

# orders:query (variant line items + refunds) — validated against api_version 2025-01
query OrdersForVariantPerformance($first: Int!, $after: String, $query: String) {
  orders(first: $first, after: $after, query: $query) {
    edges {
      node {
        id
        createdAt
        lineItems(first: 50) {
          edges {
            node {
              quantity
              originalTotalSet {
                shopMoney { amount currencyCode }
              }
              variant {
                id
                sku
                title
                selectedOptions { name value }
                product { id title }
              }
            }
          }
        }
        refunds {
          refundLineItems(first: 50) {
            edges {
              node {
                quantity
                subtotalSet {
                  shopMoney { amount currencyCode }
                }
                lineItem {
                  variant { id }
                }
              }
            }
          }
        }
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}

graphql

# productVariants:query (inventory snapshot) — validated against api_version 2025-01
query VariantInventorySnapshot($first: Int!, $after: String, $query: String) {
  productVariants(first: $first, after: $after, query: $query) {
    edges {
      node {
        id
        sku
        title
        price
        selectedOptions { name value }
        inventoryQuantity
        product {
          id
          title
        }
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}

Session Tracking

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

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: variant-performance-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
  Orders processed:     <n>
  Variants analysed:    <n>
  Date range:           <start> to <end>
  Sort by:              <metric>
  Errors:               0
  Output:               variant_performance_<date>.csv
══════════════════════════════════════════════

For format: json, emit:

json

{
  "skill": "variant-performance-report",
  "store": "<domain>",
  "started_at": "<ISO8601>",
  "completed_at": "<ISO8601>",
  "dry_run": false,
  "steps": [
    { "step": 1, "operation": "OrdersForVariantPerformance", "type": "query", "params_summary": "<date_range_start> to <date_range_end>", "result_summary": "<n> orders, <n> variants aggregated", "skipped": false },
    { "step": 2, "operation": "VariantInventorySnapshot", "type": "query", "params_summary": "<n> variant IDs", "result_summary": "<n> variants with inventory data", "skipped": false }
  ],
  "outcome": {
    "orders_processed": 0,
    "variants_analysed": 0,
    "date_range_start": "<date_range_start>",
    "date_range_end": "<date_range_end>",
    "sort_by": "revenue",
    "top_performers": [],
    "dead_weight": [],
    "errors": 0,
    "output_file": "variant_performance_<date>.csv"
  }
}

Show full SKILL.md (285 more words)Show less

Output Format

CSV file variant_performance_<YYYY-MM-DD>.csv with one row per variant:

Column	Description
`product_id`	Shopify product GID
`product_title`	Product name
`variant_id`	Shopify variant GID
`variant_title`	Option combination (e.g., "Blue / Large")
`sku`	Variant SKU
`units_sold`	Total units sold in period
`gross_revenue`	Revenue before refunds
`refunded_amount`	Total refund value
`net_revenue`	Gross minus refunds
`refund_rate_pct`	Refunded units ÷ sold units × 100
`inventory_qty`	Current stock on hand
`revenue_per_inventory_unit`	Net revenue ÷ inventory qty (blank if inventory = 0)

For format: human, two ranked tables are printed inline:

Top performers — top top_n variants by sort_by metric
Dead weight — bottom top_n variants by revenue_per_inventory_unit (≥ min_units sold, inventory > 0)

Error Handling

Error	Cause	Recovery
`THROTTLED`	API rate limit from paginating large order history	Wait 2 s, retry up to 3 times; narrow date range if persistent
`variant` is null on line item	Product or variant was deleted after purchase	Aggregate by line item title with `variant_id: null`; still counted in totals
`inventoryQuantity` is null	Variant uses fulfillment service (no tracked inventory)	Record as `inventory_qty: null`; exclude from revenue-per-unit ratio
No orders returned	No orders in date range	Widen date range

Best Practices

Run with a 30–90 day window first. Very wide windows produce large pagination chains and slow down step 1 significantly.
The revenue_per_inventory_unit column is the sharpest signal for dead weight — a high inventory count with near-zero revenue is a clear markdown candidate.
High refund_rate_pct on a specific size or color often points to a fit or quality issue — investigate before reordering that option.
Use min_units: 5 to filter out statistical noise from variants with very few sales before making merchandising decisions.
Pair with dead-stock-identifier for a broader view of inventory health beyond the sales period captured here.

Files

Just SKILL.md in skills/merchandising/shopify-admin-variant-performance-report of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Variant Performance 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 Variant Performance Report compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Shopify Admin Variant Performance Report this skill40RTY-ai/shopify-admin-skills	194	—	~2.2k	Automated safety check: Pass	MIT	1 mo ago
ShopifyShopify/Shopify-AI-Toolkit	592	—	~4.2k	Automated safety check: Pass	MIT	2 days ago
E-commerce Visual Copywritingfeichanggege/ecommerce-visual-copywriting-skill	858	—	~1.3k	Automated safety check: Pass	MIT	22 days ago
Reviewing Pull RequestsShopify/shopify-app-js	543	—	~1.9k	Automated safety check: Pass	MIT	yesterday
Better Designmarvkr/better-design	254	—	~1.2k	Automated safety check: Pass	MIT	17 days ago
Liquid Theme A11ybenjaminsehl/liquid-skills	120	—	~3.2k	Automated safety check: Pass	None	2 mo ago

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Works with

Shopify

Questions about Shopify Admin Variant Performance Report

What does Shopify Admin Variant Performance Report do?

Rank every product variant by revenue, units sold, and refund rate, then cross-reference against current inventory to identify dead weight vs. Shopify Admin Variant Performance Report is an agent skill from 40RTY-ai/shopify-admin-skills. Rank every product variant by revenue, units sold, and refund rate, then cross-reference against current inventory to identify dead weight vs.

How do I install Shopify Admin Variant Performance Report in Claude Code?

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

How do I install Shopify Admin Variant Performance Report in Codex?

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

Can I use Shopify Admin Variant Performance 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-variant-performance-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-variant-performance-report, .gemini/skills/shopify-admin-variant-performance-report, .github/skills/shopify-admin-variant-performance-report and .opencode/skills/shopify-admin-variant-performance-report in your project.

What does Shopify Admin Variant Performance Report need to run?

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

Does Shopify Admin Variant Performance 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 Variant Performance 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 Variant Performance Report use?

Shopify Admin Variant Performance 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 Variant Performance Report use?

About 2.2k tokens (SKILL.md is roughly 8.8k 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 Variant Performance Report?

Skills that share tags, products or a category with Shopify Admin Variant Performance Report: Shopify (Shopify/Shopify-AI-Toolkit, 592 stars), E-commerce Visual Copywriting (feichanggege/ecommerce-visual-copywriting-skill, 858 stars), Reviewing Pull Requests (Shopify/shopify-app-js, 543 stars) and Better Design (marvkr/better-design, 254 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Shopify Admin Variant Performance 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.

Install Shopify Admin Variant Performance Report

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SKILL.md

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