Agent skill

Shopify Admin Frequently Bought Together

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

Read-only: mines order history to find product pairs and triplets frequently purchased together, generating cross-sell and bundle recommendations.

MITAuto-check passed

Install Shopify Admin Frequently Bought Together

skills CLI
$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-frequently-bought-together -a claude-code

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

GitHub CLI
$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-frequently-bought-together --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-frequently-bought-together .claude/skills/shopify-admin-frequently-bought-together && 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-frequently-bought-together
GitHub stars
194
Token cost
~1.4k tokens
SKILL.md length
374 words
Files
1
Skills in repo
116
Repo updated
First seen
Licence
MIT

At a glance

Read-only: mines order history to find product pairs and triplets frequently purchased together, generating cross-sell and bundle recommendations.

  • Works in 5 steps: OPERATION: orders — query → For each order with 2+ distinct… → Build co-occurrence matrix → …
  • Tasks that involve Conversion rate optimization
  • SKILL.md covers Purpose, Prerequisites, Parameters and Safety, plus 6 more sections
  • Calls bundle and shopify

What it does

Shopify Admin Frequently Bought Together is an agent skill from 40RTY-ai/shopify-admin-skills. Read-only: mines order history to find product pairs and triplets frequently purchased together, generating cross-sell and bundle recommendations.

Its SKILL.md is about 1.4k 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-frequently-bought-together”

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. OPERATION: orders — query
  2. For each order with 2+ distinct products, generate all product pair combinations
  3. Build co-occurrence matrix
  4. OPERATION: products — query (enrichment)
  5. Rank pairs by lift score (descending), filter by min_support

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:

    • bundle
    • 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 Frequently Bought Together loads about 1.4k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 374 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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). 374 words, ~1,358 tokens.

Download SKILL.mdSave it as .claude/skills/shopify-admin-frequently-bought-together/SKILL.md (or your agent's skills folder).
name
shopify-admin-frequently-bought-together
description
Read-only: mines order history to find product pairs and triplets frequently purchased together, generating cross-sell and bundle recommendations.
compatibility
Claude Code, Cursor, Codex, Gemini CLI
role
conversion-optimization
toolkit
shopify-admin, shopify-admin-execution
api_version
2025-01
graphql_operations
orders:query, products:query
status
stable

Purpose

Analyzes order history to discover which products are frequently purchased together. Calculates co-occurrence frequency, lift scores, and confidence metrics to generate data-driven cross-sell recommendations and bundle candidates. Read-only — no mutations.

Prerequisites

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

Parameters

ParameterTypeRequiredDefaultDescription
storestringyes—Store domain
days_backintegerno180Order lookback window
min_supportintegerno3Minimum co-occurrence count to report a pair
max_resultsintegerno25Maximum product pairs to return
group_sizeintegerno2Pair size: 2 for pairs, 3 for triplets
collection_filterstringno—Limit to products in a specific collection
formatstringnohumanOutput format: human or json

Safety

ℹ️ Read-only skill — no mutations are executed. Safe to run at any time.

Workflow Steps

  1. OPERATION: orders — query Inputs: query: "created_at:>='<NOW - days_back days>'", first: 250, select lineItems { product { id, title } }, pagination cursor Expected output: All orders with product-level line items

  2. For each order with 2+ distinct products, generate all product pair combinations

  3. Build co-occurrence matrix:

    • Support = number of orders containing both products
    • Confidence(A→B) = P(B|A) = support(A,B) / support(A)
    • Lift = confidence(A→B) / P(B) — lift > 1.0 means positive association
  4. OPERATION: products — query (enrichment) Inputs: Product IDs from top pairs for titles, images, prices Expected output: Product details for display

  5. Rank pairs by lift score (descending), filter by min_support

Show full SKILL.md (149 more words)Show less

GraphQL Operations

graphql
# orders:query — validated against api_version 2025-01
query OrderLineItems($query: String!, $after: String) {
  orders(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        lineItems(first: 50) {
          edges {
            node {
              product { id title }
              quantity
            }
          }
        }
      }
    }
    pageInfo { hasNextPage endCursor }
  }
}
graphql
# products:query — validated against api_version 2025-01
query ProductDetails($ids: [ID!]!) {
  nodes(ids: $ids) {
    ... on Product {
      id
      title
      vendor
      productType
      priceRangeV2 {
        minVariantPrice { amount currencyCode }
        maxVariantPrice { amount currencyCode }
      }
      totalInventory
      status
    }
  }
}

Session Tracking

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

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: Frequently Bought Together           ║
║  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):

══════════════════════════════════════════════
FREQUENTLY BOUGHT TOGETHER  (<days_back> days, <n> orders analyzed)
  Unique product pairs found: <n>
  Pairs meeting min_support:  <n>

  TOP PAIRS BY LIFT:
  #1  "<product A>" + "<product B>"
      Support: <n> orders  Lift: <n>x  Confidence: <pct>%

  #2  "<product A>" + "<product B>"
      Support: <n> orders  Lift: <n>x  Confidence: <pct>%

  BUNDLE CANDIDATES (high support + high lift):
    "<product A>" + "<product B>"  →  Suggested bundle price: $<n>

  Output: fbt_pairs_<date>.csv
══════════════════════════════════════════════

Output Format

CSV file fbt_pairs_<YYYY-MM-DD>.csv with columns: product_a_id, product_a_title, product_b_id, product_b_title, support, confidence_a_to_b, confidence_b_to_a, lift, combined_avg_price

Error Handling

ErrorCauseRecovery
THROTTLEDAPI rate limit exceededWait 2 seconds, retry up to 3 times
Single-item orders onlyStore with no multi-item ordersReport empty — suggest longer lookback window
Too many productsCombinatorial explosionLimit to top 500 products by order count

Best Practices

  • Use days_back: 180 or 365 for sufficient sample size.
  • Pairs with lift > 2.0 are strong bundle candidates.
  • Use results to create manual product bundles or configure upsell apps.
  • Cross-reference with top-product-performance to ensure paired items are high-performing.
  • Products with high confidence A→B but low confidence B→A suggest directional upsells (show B when A is in cart).

© 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-frequently-bought-together of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Frequently Bought Together 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 Frequently Bought Together compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shopify Admin Frequently Bought Together this skill40RTY-ai/shopify-admin-skills194—~1.4kAutomated safety check: PassMIT
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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 Frequently Bought Together

What does Shopify Admin Frequently Bought Together do?

Read-only: mines order history to find product pairs and triplets frequently purchased together, generating cross-sell and bundle recommendations. Shopify Admin Frequently Bought Together is an agent skill from 40RTY-ai/shopify-admin-skills. Read-only: mines order history to find product pairs and triplets frequently purchased together, generating cross-sell and bundle recommendations.

When should I use Shopify Admin Frequently Bought Together?

Shopify Admin Frequently Bought Together fits situations like: tasks that involve Conversion rate optimization.

How do I install Shopify Admin Frequently Bought Together in Claude Code?

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

How do I install Shopify Admin Frequently Bought Together in Codex?

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

Can I use Shopify Admin Frequently Bought Together 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-frequently-bought-together -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-frequently-bought-together, .gemini/skills/shopify-admin-frequently-bought-together, .github/skills/shopify-admin-frequently-bought-together and .opencode/skills/shopify-admin-frequently-bought-together in your project.

What does Shopify Admin Frequently Bought Together need to run?

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

Does Shopify Admin Frequently Bought Together 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 Frequently Bought Together 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 Frequently Bought Together use?

Shopify Admin Frequently Bought Together 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 Frequently Bought Together use?

About 1.4k tokens (SKILL.md is roughly 5.4k 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 Frequently Bought Together?

Skills that share tags, products or a category with Shopify Admin Frequently Bought Together: 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 Frequently Bought Together?

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.