Agent skill

Shopify Admin Draft Order Cleanup

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

Finds stale draft orders older than N days and optionally deletes them to reduce admin clutter.

MITAuto-check passed

Install Shopify Admin Draft Order Cleanup

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

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

GitHub CLI
$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-draft-order-cleanup --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/store-management/shopify-admin-draft-order-cleanup .claude/skills/shopify-admin-draft-order-cleanup && 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-draft-order-cleanup
GitHub stars
194
Token cost
~1.3k tokens
SKILL.md length
339 words
Files
1
Skills in repo
116
Repo updated
First seen
Licence
MIT

At a glance

Finds stale draft orders older than N days and optionally deletes them to reduce admin clutter.

  • Works in 2 steps: OPERATION: draftOrders — query → OPERATION: draftOrderDelete — mutation
  • SKILL.md covers Purpose, Prerequisites, Parameters and Safety, plus 6 more sections
  • Calls shopify

What it does

Shopify Admin Draft Order Cleanup is an agent skill from 40RTY-ai/shopify-admin-skills. Finds stale draft orders older than N days and optionally deletes them to reduce admin clutter.

Its SKILL.md is about 1.3k 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

  • “Use the shopify-admin-draft-order-cleanup skill to find stale draft orders older than N days and optionally deletes them to reduce admin clutter”
  • “/shopify-admin-draft-order-cleanup”

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: draftOrders — query
  2. OPERATION: draftOrderDelete — 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 Draft Order Cleanup loads about 1.3k tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 339 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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). 339 words, ~1,271 tokens.

Download SKILL.mdSave it as .claude/skills/shopify-admin-draft-order-cleanup/SKILL.md (or your agent's skills folder).
name
shopify-admin-draft-order-cleanup
description
Finds stale draft orders older than N days and optionally deletes them to reduce admin clutter.
compatibility
Claude Code, Cursor, Codex, Gemini CLI
role
store-management
toolkit
shopify-admin, shopify-admin-execution
api_version
2025-01
graphql_operations
draftOrders:query, draftOrderDelete:mutation
status
stable

Purpose

Queries open draft orders older than a configurable age and optionally deletes them. Draft orders accumulate from abandoned B2B quotes, incomplete manual orders, or old integrations and clutter the admin. Stale drafts also inflate pending revenue metrics.

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 (e.g., mystore.myshopify.com)
older_than_daysintegerno30Delete drafts older than this many days
dry_runboolnotruePreview drafts to delete without executing mutation
formatstringnohumanOutput format: human or json

Safety

⚠️ draftOrderDelete permanently deletes draft orders. Deleted drafts cannot be recovered. Run with dry_run: true to review the list before committing. Check that no stale drafts represent active B2B quotes awaiting customer approval before deleting.

Workflow Steps

  1. OPERATION: draftOrders — query Inputs: query: "status:open created_at:<='<NOW - older_than_days days>'", first: 250, pagination cursor Expected output: Stale open draft orders; paginate until hasNextPage: false

  2. OPERATION: draftOrderDelete — mutation Inputs: id: <draft_order_id> Expected output: deletedId, userErrors

GraphQL Operations

graphql
# draftOrders:query — validated against api_version 2025-01
query StaleDraftOrders($query: String!, $after: String) {
  draftOrders(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        name
        status
        createdAt
        updatedAt
        totalPriceSet {
          shopMoney {
            amount
            currencyCode
          }
        }
        customer {
          id
          displayName
          defaultEmailAddress {
            emailAddress
          }
        }
        tags
        note
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}
graphql
# draftOrderDelete:mutation — validated against api_version 2025-01
mutation DraftOrderDelete($input: DraftOrderDeleteInput!) {
  draftOrderDelete(input: $input) {
    deletedId
    userErrors {
      field
      message
    }
  }
}

Session Tracking

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

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: Draft Order Cleanup                  ║
║  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>

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

On completion, emit:

For format: human (default):

══════════════════════════════════════════════
OUTCOME SUMMARY
  Stale drafts found:   <n>
  Drafts deleted:       <n>
  Total value cleared:  $<amount>
  Errors:               <n>
  Output:               draft_cleanup_<date>.csv
══════════════════════════════════════════════

For format: json, emit:

json
{
  "skill": "draft-order-cleanup",
  "store": "<domain>",
  "started_at": "<ISO8601>",
  "older_than_days": 30,
  "dry_run": true,
  "outcome": {
    "drafts_found": 0,
    "drafts_deleted": 0,
    "value_cleared": 0,
    "currency": "USD",
    "errors": 0,
    "output_file": "draft_cleanup_<date>.csv"
  }
}

Output Format

CSV file draft_cleanup_<YYYY-MM-DD>.csv with columns: draft_id, draft_name, customer_name, customer_email, created_at, total_value, currency, action

Error Handling

ErrorCauseRecovery
THROTTLEDAPI rate limit exceededWait 2 seconds, retry up to 3 times
userErrors on deleteDraft already completed or cancelledLog as skipped, continue
No stale draftsAll drafts are recent or none existExit with 0 results

Best Practices

  • Set older_than_days: 60 or higher for B2B stores where quotes may have longer sales cycles.
  • Review the dry-run list for drafts with notes or high value before deleting — these may be legitimate pending quotes.
  • For B2B scenarios, consider filtering out drafts tagged with b2b-quote or similar before running the delete step.
  • Run monthly as a routine admin hygiene task.

© 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/store-management/shopify-admin-draft-order-cleanup of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Draft Order Cleanup 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 Draft Order Cleanup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shopify Admin Draft Order Cleanup this skill40RTY-ai/shopify-admin-skills194—~1.3kAutomated 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 Draft Order Cleanup

What does Shopify Admin Draft Order Cleanup do?

Finds stale draft orders older than N days and optionally deletes them to reduce admin clutter. Shopify Admin Draft Order Cleanup is an agent skill from 40RTY-ai/shopify-admin-skills. Finds stale draft orders older than N days and optionally deletes them to reduce admin clutter.

How do I install Shopify Admin Draft Order Cleanup in Claude Code?

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

How do I install Shopify Admin Draft Order Cleanup in Codex?

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

Can I use Shopify Admin Draft Order Cleanup 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-draft-order-cleanup -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-draft-order-cleanup, .gemini/skills/shopify-admin-draft-order-cleanup, .github/skills/shopify-admin-draft-order-cleanup and .opencode/skills/shopify-admin-draft-order-cleanup in your project.

What does Shopify Admin Draft Order Cleanup need to run?

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

Does Shopify Admin Draft Order Cleanup 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 Draft Order Cleanup 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 Draft Order Cleanup use?

Shopify Admin Draft Order Cleanup 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 Draft Order Cleanup use?

About 1.3k tokens (SKILL.md is roughly 5.1k 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 Draft Order Cleanup?

Skills that share tags, products or a category with Shopify Admin Draft Order Cleanup: 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 Draft Order Cleanup?

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.