Agent skill

Shopify Admin Customer Win Back

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

Identify customers who have not ordered in N days, export a re-engagement list, and tag them in Shopify.

MITAuto-check passedMarketing & SEO

Install Shopify Admin Customer Win Back

skills CLI
$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-customer-win-back -a claude-code

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

GitHub CLI
$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-customer-win-back --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/marketing/shopify-admin-customer-win-back .claude/skills/shopify-admin-customer-win-back && 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-customer-win-back
GitHub stars
194
Token cost
~1.2k tokens
SKILL.md length
340 words
Files
1
Skills in repo
116
Repo updated
First seen
Licence
MIT

At a glance

Identify customers who have not ordered in N days, export a re-engagement list, and tag them in Shopify.

  • Works in 2 steps: OPERATION: customers — query → OPERATION: tagsAdd — mutation
  • Tasks that involve Referral and retention marketing
  • SKILL.md covers Purpose, Prerequisites, Parameters and Workflow Steps, plus 5 more sections
  • Calls shopify

What it does

Shopify Admin Customer Win Back is an agent skill from 40RTY-ai/shopify-admin-skills. Identify customers who have not ordered in N days, export a re-engagement list, and tag them in Shopify.

Its SKILL.md is about 1.2k 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 sits in Marketing & SEO, covering Referral and retention marketing. 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 Referral and retention marketing

Example prompts

  • “/shopify-admin-customer-win-back”

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: customers — query
  2. OPERATION: tagsAdd — mutation

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 Customer Win Back loads about 1.2k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 340 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 340 words, ~1,181 tokens.

Download SKILL.mdSave it as .claude/skills/shopify-admin-customer-win-back/SKILL.md (or your agent's skills folder).
name
shopify-admin-customer-win-back
description
Identify customers who have not ordered in N days, export a re-engagement list, and tag them in Shopify.
compatibility
Claude Code, Cursor, Codex, Gemini CLI
role
marketing
toolkit
shopify-admin, shopify-admin-execution
api_version
2025-01
graphql_operations
customers:query, tagsAdd:mutation
status
stable

Purpose

Segments lapsed customers — those who placed at least one order but have not purchased again within a configurable window — and tags them for re-engagement. This skill handles the Shopify-native data layer; sending re-engagement emails requires an external tool.

Prerequisites

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

Parameters

ParameterTypeRequiredDefaultDescription
storestringyes—Store domain
formatstringnohumanhuman or json
dry_runboolnofalsePreview without tagging
inactive_daysintegerno90Days since last order to qualify as lapsed
min_ordersintegerno1Minimum lifetime order count to include
tagstringnowin-backTag applied to lapsed customers
max_customersintegerno500Maximum customers to process per run

Workflow Steps

  1. OPERATION: customers — query Inputs: filter last_order_date:<(NOW - inactive_days days), orders_count:>=(min_orders), first: 250, pagination Expected output: List of customer objects with id, defaultEmailAddress { emailAddress }, firstName, lastName, ordersCount, lastOrder.processedAt; paginate until hasNextPage: false

  2. OPERATION: tagsAdd — mutation Inputs: Customer id, tag string from tag parameter Expected output: Confirmation per customer; collect userErrors

GraphQL Operations

graphql
# customers:query — validated against api_version 2025-04
query LapsedCustomers($first: Int!, $after: String, $query: String) {
  customers(first: $first, after: $after, query: $query) {
    edges {
      node {
        id
        defaultEmailAddress {
          emailAddress
        }
        firstName
        lastName
        ordersCount
        lastOrder {
          processedAt
          totalPriceSet {
            shopMoney {
              amount
              currencyCode
            }
          }
        }
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}
graphql
# tagsAdd:mutation — validated against api_version 2025-01
mutation TagsAdd($id: ID!, $tags: [String!]!) {
  tagsAdd(id: $id, tags: $tags) {
    node {
      id
    }
    userErrors {
      field
      message
    }
  }
}

Session Tracking

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

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: Customer Win-Back                    ║
║  Store: <store domain>                       ║
║  Started: <YYYY-MM-DD HH:MM UTC>             ║
╚══════════════════════════════════════════════╝

After each step, emit:

[N/TOTAL] <QUERY|MUTATION>  <OperationName>
          → Params: <brief summary>
          → Result: <count or outcome>

If dry_run: true, prefix mutation steps with [DRY RUN] and do not execute.

On completion, for format: human:

══════════════════════════════════════════════
OUTCOME SUMMARY
  Lapsed customers found:  <n>
  Customers tagged:        <n>
  Errors:                  <n>
  Output:                  winback_<date>.csv
══════════════════════════════════════════════

For format: json, emit the standard JSON schema with outcome keys: lapsed_found, customers_tagged, errors, output_file.

Output Format

CSV winback_<YYYY-MM-DD>.csv with columns: customer_id, email, first_name, last_name, orders_count, last_order_date, tag_applied

Error Handling

ErrorCauseRecovery
THROTTLEDRate limitWait 2s, retry up to 3 times
userErrors on tagsAddCustomer not found or invalid IDLog, skip, continue

Best Practices

  • Use a dated tag (e.g., win-back-2026-04) so you can track which cohort was targeted each month and avoid re-tagging customers who already received a win-back campaign.
  • Set min_orders: 2 to focus on customers who had a genuine purchase relationship, not one-time buyers who may never have intended to return.
  • Run with dry_run: true first to validate the lapsed customer count before tagging — the count informs the scale of your re-engagement campaign.

© 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/marketing/shopify-admin-customer-win-back of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Customer Win Back 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 Customer Win Back compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shopify Admin Customer Win Back this skill40RTY-ai/shopify-admin-skills194—~1.2kAutomated safety check: PassMIT
Ecommerce Marketing Strategy BuilderLeoYeAI/openclaw-master-skills2.2k1 repos~4.6kAutomated safety check: PassMIT
Shopify Marketingnexscope-ai/eCommerce-Skills1.1k—~3.8kAutomated safety check: PassMIT
Shopify Email Flowsnexscope-ai/eCommerce-Skills1.1k—~461Automated safety check: PassMIT
Shopify Loyalty Programnexscope-ai/eCommerce-Skills1.1k—~464Automated safety check: PassMIT
Referralscoreyhaines31/marketingskills54k2 repos~2.6kAutomated safety check: PassMIT

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Works with

Categories

Questions about Shopify Admin Customer Win Back

What does Shopify Admin Customer Win Back do?

Identify customers who have not ordered in N days, export a re-engagement list, and tag them in Shopify. Shopify Admin Customer Win Back is an agent skill from 40RTY-ai/shopify-admin-skills. Identify customers who have not ordered in N days, export a re-engagement list, and tag them in Shopify.

When should I use Shopify Admin Customer Win Back?

Shopify Admin Customer Win Back fits situations like: tasks that involve Referral and retention marketing.

How do I install Shopify Admin Customer Win Back in Claude Code?

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

How do I install Shopify Admin Customer Win Back in Codex?

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

Can I use Shopify Admin Customer Win Back 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-customer-win-back -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-customer-win-back, .gemini/skills/shopify-admin-customer-win-back, .github/skills/shopify-admin-customer-win-back and .opencode/skills/shopify-admin-customer-win-back in your project.

What does Shopify Admin Customer Win Back need to run?

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

Does Shopify Admin Customer Win Back 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 Customer Win Back 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 Customer Win Back use?

Shopify Admin Customer Win Back 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 Customer Win Back use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 Customer Win Back?

Skills that share tags, products or a category with Shopify Admin Customer Win Back: Ecommerce Marketing Strategy Builder (LeoYeAI/openclaw-master-skills, 2.2k stars), Shopify Marketing (nexscope-ai/eCommerce-Skills, 1.1k stars), Shopify Email Flows (nexscope-ai/eCommerce-Skills, 1.1k stars) and Shopify Loyalty Program (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 Customer Win Back?

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.