Agent skill

Shopify Admin Repeat Purchase Rate

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

Read-only: calculates what percentage of customers place 2+ orders within N days, segmented by product or collection.

MITAuto-check passed

Install Shopify Admin Repeat Purchase Rate

skills CLI
$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-repeat-purchase-rate -a claude-code

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

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

At a glance

Read-only: calculates what percentage of customers place 2+ orders within N days, segmented by product or collection.

  • Works in 4 steps: OPERATION: customers — query → OPERATION: orders — query → For each acquired customer: if they have… → …
  • SKILL.md covers Purpose, Prerequisites, Parameters and Safety, plus 6 more sections
  • Calls shopify

What it does

Shopify Admin Repeat Purchase Rate is an agent skill from 40RTY-ai/shopify-admin-skills. Read-only: calculates what percentage of customers place 2+ orders within N days, segmented by product or collection.

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.

Example prompts

  • “/shopify-admin-repeat-purchase-rate”

Requirements

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

Workflow steps

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

  1. OPERATION: customers — query
  2. OPERATION: orders — query
  3. For each acquired customer: if they have ≥ 2 orders within repeat_window days → repeat purchaser
  4. Calculate overall rate; if segment_by: product, group by first-purchased product

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 Repeat Purchase Rate loads about 1.4k tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 357 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
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). 357 words, ~1,362 tokens.

Download SKILL.mdSave it as .claude/skills/shopify-admin-repeat-purchase-rate/SKILL.md (or your agent's skills folder).
name
shopify-admin-repeat-purchase-rate
description
Read-only: calculates what percentage of customers place 2+ orders within N days, segmented by product or collection.
compatibility
Claude Code, Cursor, Codex, Gemini CLI
role
order-intelligence
toolkit
shopify-admin, shopify-admin-execution
api_version
2025-01
graphql_operations
customers:query, orders:query
status
stable

Purpose

Calculates the repeat purchase rate — the percentage of customers who return to place at least one more order within a defined window — and segments it by first-purchase product or collection. Identifies which products drive the highest repeat purchase behavior. Read-only — no mutations.

Prerequisites

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

Parameters

ParameterTypeRequiredDefaultDescription
storestringyes—Store domain (e.g., mystore.myshopify.com)
days_backintegerno90Acquisition window — customers first purchased in this period
repeat_windowintegerno90Days after first purchase to look for a repeat order
segment_bystringnononeSegment repeat rate by: product, none
formatstringnohumanOutput format: human or json

Safety

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

Workflow Steps

  1. OPERATION: customers — query Inputs: query: "created_at:>='<NOW - days_back days>'", first: 250, select id, numberOfOrders, createdAt Expected output: Customers acquired in window

  2. OPERATION: orders — query Inputs: query: "created_at:>='<NOW - days_back + repeat_window days>'", first: 250, select customer { id }, createdAt, lineItems { product { id, title } }, pagination cursor Expected output: Orders to build per-customer purchase history and first-product mapping

  3. For each acquired customer: if they have ≥ 2 orders within repeat_window days → repeat purchaser

  4. Calculate overall rate; if segment_by: product, group by first-purchased product

GraphQL Operations

graphql
# customers:query — validated against api_version 2025-01
query AcquiredCustomers($query: String!, $after: String) {
  customers(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        createdAt
        numberOfOrders
        defaultEmailAddress {
          emailAddress
        }
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}
graphql
# orders:query — validated against api_version 2025-01
query CustomerOrderHistory($query: String!, $after: String) {
  orders(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        createdAt
        customer {
          id
        }
        lineItems(first: 5) {
          edges {
            node {
              product {
                id
                title
              }
            }
          }
        }
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}
Show full SKILL.md (142 more words)Show less

Session Tracking

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

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: Repeat Purchase Rate                 ║
║  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):

══════════════════════════════════════════════
REPEAT PURCHASE RATE
  Acquisition window:  <days_back> days
  Repeat window:       <repeat_window> days
  Customers acquired:  <n>
  Repeat purchasers:   <n>
  Repeat rate:         <pct>%

  By First Product:
    "<product>"  Acquired: <n>  Repeat: <pct>%
  Output: repeat_purchase_<date>.csv
══════════════════════════════════════════════

For format: json, emit:

json
{
  "skill": "repeat-purchase-rate",
  "store": "<domain>",
  "acquisition_days": 90,
  "repeat_window_days": 90,
  "customers_acquired": 0,
  "repeat_purchasers": 0,
  "repeat_rate_pct": 0,
  "by_product": [],
  "output_file": "repeat_purchase_<date>.csv"
}

Output Format

CSV file repeat_purchase_<YYYY-MM-DD>.csv with columns: customer_id, first_order_date, first_product, total_orders, is_repeat, days_to_repeat, total_spent

Error Handling

ErrorCauseRecovery
THROTTLEDAPI rate limit exceededWait 2 seconds, retry up to 3 times
Guest checkout customersNo customer record to link ordersExclude from analysis
Insufficient historyStore newer than windowAnalyze available period

Best Practices

  • A repeat rate of 25–35% within 90 days is a healthy baseline for most non-subscription ecommerce stores.
  • Products with high repeat rates are your "gateway" products — prioritize them in acquisition campaigns.
  • Use segment_by: product to identify which products create loyal customers vs. one-time buyers.
  • Pair with customer-cohort-analysis for a deeper view of long-term retention trends.

© 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/order-intelligence/shopify-admin-repeat-purchase-rate of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Repeat Purchase Rate 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 Repeat Purchase Rate compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shopify Admin Repeat Purchase Rate this skill40RTY-ai/shopify-admin-skills194—~1.4kAutomated safety check: PassMIT
ShopifyShopify/Shopify-AI-Toolkit592—~4.2kAutomated safety check: PassMIT
E-commerce Visual Copywritingfeichanggege/ecommerce-visual-copywriting-skill867—~1.3kAutomated safety check: PassMIT
Reviewing Pull RequestsShopify/shopify-app-js541—~1.9kAutomated safety check: PassMIT
Better Designmarvkr/better-design254—~1.2kAutomated safety check: PassMIT
Liquid Theme A11ybenjaminsehl/liquid-skills120—~3.2kAutomated safety check: PassNone

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Works with

Questions about Shopify Admin Repeat Purchase Rate

What does Shopify Admin Repeat Purchase Rate do?

Read-only: calculates what percentage of customers place 2+ orders within N days, segmented by product or collection. Shopify Admin Repeat Purchase Rate is an agent skill from 40RTY-ai/shopify-admin-skills. Read-only: calculates what percentage of customers place 2+ orders within N days, segmented by product or collection.

How do I install Shopify Admin Repeat Purchase Rate in Claude Code?

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

How do I install Shopify Admin Repeat Purchase Rate in Codex?

Run `npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-repeat-purchase-rate -a codex`. Or copy the skill folder (skills/order-intelligence/shopify-admin-repeat-purchase-rate in 40RTY-ai/shopify-admin-skills) into .agents/skills/shopify-admin-repeat-purchase-rate in your project. Codex loads it when a task matches its description.

Can I use Shopify Admin Repeat Purchase Rate 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-repeat-purchase-rate -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-repeat-purchase-rate, .gemini/skills/shopify-admin-repeat-purchase-rate, .github/skills/shopify-admin-repeat-purchase-rate and .opencode/skills/shopify-admin-repeat-purchase-rate in your project.

What does Shopify Admin Repeat Purchase Rate need to run?

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

Does Shopify Admin Repeat Purchase Rate 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 Repeat Purchase Rate 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 Repeat Purchase Rate use?

Shopify Admin Repeat Purchase Rate 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 Repeat Purchase Rate 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 Repeat Purchase Rate?

Skills that share tags, products or a category with Shopify Admin Repeat Purchase Rate: Shopify (Shopify/Shopify-AI-Toolkit, 592 stars), E-commerce Visual Copywriting (feichanggege/ecommerce-visual-copywriting-skill, 867 stars), Reviewing Pull Requests (Shopify/shopify-app-js, 541 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 Repeat Purchase Rate?

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.