Agent skill

Shopify Admin Automated Order Tagger

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

Mutation: applies tags to orders based on configurable rules (geography, value, product type, risk level, customer tier).

MITAuto-check passed

Install Shopify Admin Automated Order Tagger

skills CLI
$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-automated-order-tagger -a claude-code

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

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

At a glance

Mutation: applies tags to orders based on configurable rules (geography, value, product type, risk level, customer tier).

  • Works in 4 steps: OPERATION: orders — query → For each order, evaluate all rules → If dry_run: true: report matches without… → …
  • SKILL.md covers Purpose, Prerequisites, Parameters and Rules Format, plus 7 more sections
  • Calls shopify

What it does

Shopify Admin Automated Order Tagger is an agent skill from 40RTY-ai/shopify-admin-skills. Mutation: applies tags to orders based on configurable rules (geography, value, product type, risk level, customer tier).

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.

Example prompts

  • “/shopify-admin-automated-order-tagger”

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: orders — query
  2. For each order, evaluate all rules
  3. If dry_run: true: report matches without applying
  4. OPERATION: orderUpdate — mutation (for each order needing new tags)

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 Automated Order Tagger loads about 1.6k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 377 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
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). 377 words, ~1,593 tokens.

Download SKILL.mdSave it as .claude/skills/shopify-admin-automated-order-tagger/SKILL.md (or your agent's skills folder).
name
shopify-admin-automated-order-tagger
description
Mutation: applies tags to orders based on configurable rules (geography, value, product type, risk level, customer tier).
compatibility
Claude Code, Cursor, Codex, Gemini CLI
role
order-intelligence
toolkit
shopify-admin, shopify-admin-execution
api_version
2025-01
graphql_operations
orders:query, orderUpdate:mutation
status
stable

Purpose

Applies tags to orders based on configurable rule sets — geography-based (domestic/international), value-based (high-value, low-value), product-type-based, customer-tier-based, or custom conditions. Supports dry-run mode for safe preview.

Prerequisites

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

Parameters

ParameterTypeRequiredDefaultDescription
storestringyes—Store domain
rulesobject[]yes—Array of tagging rules (see Rules Format below)
days_backintegerno7Lookback window for orders to tag
skip_taggedbooleannotrueSkip orders that already have the target tag
dry_runbooleannotruePreview only — don't apply tags
formatstringnohumanOutput format: human or json

Rules Format

Each rule has a condition and a tag:

json
[
  { "condition": "total_price > 500", "tag": "high-value" },
  { "condition": "total_price < 20", "tag": "low-value" },
  { "condition": "shipping_country != US", "tag": "international" },
  { "condition": "shipping_country = US", "tag": "domestic" },
  { "condition": "line_items_count > 5", "tag": "bulk-order" },
  { "condition": "customer_orders > 3", "tag": "repeat-buyer" },
  { "condition": "customer_orders = 1", "tag": "first-time" },
  { "condition": "risk_level = HIGH", "tag": "needs-review" },
  { "condition": "financial_status = PARTIALLY_REFUNDED", "tag": "partial-refund" },
  { "condition": "fulfillment_status = null", "tag": "unfulfilled" },
  { "condition": "discount_codes contains WELCOME", "tag": "welcome-discount" },
  { "condition": "product_type contains Subscription", "tag": "subscription-order" }
]

Safety

⚠️ Mutation skill — always run with dry_run: true first to preview tag assignments before applying.

Workflow Steps

  1. OPERATION: orders — query Inputs: query: "created_at:>='<NOW - days_back days>'", first: 250, select id, name, tags, totalPriceSet, shippingAddress { countryCode }, customer { numberOfOrders }, displayFinancialStatus, displayFulfillmentStatus, riskLevel, lineItems { product { productType } }, discountCodes, pagination cursor Expected output: All recent orders with data needed for rule evaluation

  2. For each order, evaluate all rules:

    • Parse each condition against order data
    • Collect all matching tags
    • If skip_tagged: true, exclude tags already present on the order
  3. If dry_run: true: report matches without applying If dry_run: false:

  4. OPERATION: orderUpdate — mutation (for each order needing new tags) Inputs: { id: <order_id>, tags: <existing_tags + new_tags> } Expected output: Updated order with new tags Batch: Process in batches of 10 to respect rate limits

Show full SKILL.md (135 more words)Show less

GraphQL Operations

graphql
# orders:query — validated against api_version 2025-01
query OrdersForTagging($query: String!, $after: String) {
  orders(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        name
        tags
        totalPriceSet { shopMoney { amount currencyCode } }
        shippingAddress { countryCode provinceCode }
        customer { id numberOfOrders }
        displayFinancialStatus
        displayFulfillmentStatus
        riskLevel
        discountCodes
        lineItems(first: 20) {
          edges {
            node {
              product { productType }
              quantity
            }
          }
        }
      }
    }
    pageInfo { hasNextPage endCursor }
  }
}
graphql
# orderUpdate:mutation — validated against api_version 2025-01
mutation TagOrder($input: OrderInput!) {
  orderUpdate(input: $input) {
    order { id name tags }
    userErrors { field message }
  }
}

Session Tracking

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

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: Automated Order Tagger               ║
║  Store: <store domain>                       ║
║  Mode: <DRY RUN | LIVE>                      ║
║  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):

══════════════════════════════════════════════
ORDER TAGGING REPORT  (<days_back> days, <mode>)
  Orders scanned:    <n>
  Orders matched:    <n>
  Tags applied:      <n>  (or "would apply" in dry run)
  ─────────────────────────────
  RULE MATCHES:
    "high-value"       → <n> orders
    "international"    → <n> orders
    "first-time"       → <n> orders
    "repeat-buyer"     → <n> orders

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

Output Format

CSV file order_tags_<YYYY-MM-DD>.csv with columns: order_id, order_name, existing_tags, new_tags, matched_rules

Error Handling

ErrorCauseRecovery
THROTTLEDAPI rate limit exceededWait 2 seconds, retry up to 3 times
Invalid ruleUnparseable conditionSkip rule, warn in output
ACCESS_DENIEDMissing write_orders scopeSwitch to read-only mode, report matches only

Best Practices

  • Always run dry_run: true first to preview changes.
  • Tags are additive — this skill never removes existing tags.
  • Use with order-risk-report to auto-tag risk levels.
  • Combine with downstream automation tooling for post-tagging actions (e.g., tag "high-value" → assign to VIP fulfillment queue).
  • Useful for filtering orders in Shopify admin — tags make complex order segments searchable.

© 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-automated-order-tagger of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Automated Order Tagger 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 Automated Order Tagger compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shopify Admin Automated Order Tagger this skill40RTY-ai/shopify-admin-skills194—~1.6kAutomated 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 Automated Order Tagger

What does Shopify Admin Automated Order Tagger do?

Mutation: applies tags to orders based on configurable rules (geography, value, product type, risk level, customer tier). Shopify Admin Automated Order Tagger is an agent skill from 40RTY-ai/shopify-admin-skills. Mutation: applies tags to orders based on configurable rules (geography, value, product type, risk level, customer tier).

How do I install Shopify Admin Automated Order Tagger in Claude Code?

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

How do I install Shopify Admin Automated Order Tagger in Codex?

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

Can I use Shopify Admin Automated Order Tagger 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-automated-order-tagger -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-automated-order-tagger, .gemini/skills/shopify-admin-automated-order-tagger, .github/skills/shopify-admin-automated-order-tagger and .opencode/skills/shopify-admin-automated-order-tagger in your project.

What does Shopify Admin Automated Order Tagger need to run?

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

Does Shopify Admin Automated Order Tagger 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 Automated Order Tagger 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 Automated Order Tagger use?

Shopify Admin Automated Order Tagger 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 Automated Order Tagger 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 Automated Order Tagger?

Skills that share tags, products or a category with Shopify Admin Automated Order Tagger: 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 Automated Order Tagger?

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.