Shopify Admin Low Inventory Restock logo

Shopify Admin Low Inventory Restock

Organization
40RTY-ai
shopify-admin-low-inventory-restock

Query all tracked product variants below a stock threshold and export a restock list grouped by vendor.

Overview

Publisher40RTY-ai
Repositoryshopify-admin-skills
Skill nameshopify-admin-low-inventory-restock
Stars
200
Forks
22
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by 40RTY-ai on GitHub. Read the source before you install it.

Installation

Install the Shopify Admin Low Inventory Restock AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-low-inventory-restock
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git /tmp/shopify-admin-skills
mkdir -p .claude/skills
cp -r /tmp/shopify-admin-skills/skills/merchandising/shopify-admin-low-inventory-restock .claude/skills/shopify-admin-low-inventory-restock
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Shopify Admin Low Inventory Restock in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Shopify Admin Low Inventory Restock on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Shopify Admin Low Inventory Restock is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Purpose

Queries all tracked product variants at or below a configurable stock threshold and exports a restock CSV grouped by vendor. By pulling live inventory counts directly from the Shopify Admin API and sorting results by vendor name, this skill gives procurement teams an immediately actionable reorder list without manual exports from the Shopify admin inventory view.

Prerequisites

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

Parameters

ParameterTypeRequiredDefaultDescription
storestringyes—Store domain (e.g., mystore.myshopify.com)
formatstringnohumanOutput format: human or json
dry_runboolnofalsePreview operations without executing mutations
thresholdintegerno10Variants at or below this quantity are included
location_idstringno—GID of a specific location to filter by (optional; if omitted, uses inventoryQuantity across all locations)
include_zero_stockboolnotrueInclude variants with 0 quantity

Workflow Steps

  1. OPERATION: productVariants — query Inputs: first: 250, query: "inventory_quantity:<= <threshold>", pagination cursor Expected output: List of variant objects with inventoryQuantity, product title, vendor, SKU; paginate until hasNextPage: false

GraphQL Operations

graphql
# productVariants:query — validated against api_version 2025-01
query LowInventoryVariants($first: Int!, $after: String, $query: String) {
  productVariants(first: $first, after: $after, query: $query) {
    edges {
      node {
        id
        title
        sku
        inventoryQuantity
        product {
          id
          title
          vendor
        }
        inventoryItem {
          id
          tracked
        }
      }
    }
    pageInfo {
      hasNextPage
      endCursor
    }
  }
}

Session Tracking

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

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: low-inventory-restock                ║
║  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):

══════════════════════════════════════════════
OUTCOME SUMMARY
  Variants below threshold:  <n>
  Unique products:            <n>
  Vendors:                    <n>
  Errors:                     0
  Output:                     restock_list_<date>.csv
══════════════════════════════════════════════

For format: json, emit:

json
{
  "skill": "low-inventory-restock",
  "store": "<domain>",
  "started_at": "<ISO8601>",
  "completed_at": "<ISO8601>",
  "dry_run": false,
  "steps": [
    { "step": 1, "operation": "LowInventoryVariants", "type": "query", "params_summary": "threshold <= 10, all locations", "result_summary": "<n> variants", "skipped": false }
  ],
  "outcome": {
    "variants_below_threshold": 0,
    "unique_products": 0,
    "vendors": 0,
    "errors": 0,
    "output_file": "restock_list_<date>.csv"
  }
}

Output Format

CSV file restock_list_<YYYY-MM-DD>.csv grouped by vendor, sorted by vendor name then product title. Columns: vendor, product_title, variant_title, sku, current_stock.

Error Handling

ErrorCauseRecovery
No variants returnedAll variants are above threshold or inventory not trackedLower threshold or verify inventoryItem.tracked: true
location_id not foundInvalid location GIDRetrieve valid location IDs via Shopify admin
Rate limit (429)Too many paginated requestsReduce first to 100 and retry

Best Practices

  1. Run without location_id first to get store-wide low stock; then filter by location if you operate multiple warehouses.
  2. Only variants with inventoryItem.tracked: true have meaningful stock counts — untracked variants always appear as 0.
  3. The restock CSV is sorted by vendor — share the vendor-grouped output directly with your procurement team without reformatting.
  4. Set include_zero_stock: false to skip variants already on back-order to focus on nearly-depleted items.
  5. Schedule this skill to run weekly via cron and pipe the CSV to your purchasing workflow.

Frequently asked questions

What does the Shopify Admin Low Inventory Restock AI skill do?

Query all tracked product variants below a stock threshold and export a restock list grouped by vendor.

Why use Shopify Admin Low Inventory Restock on TypingMind?

Because you install it once and use it with any model. Shopify Admin Low Inventory Restock is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Shopify Admin Low Inventory Restock in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-low-inventory-restock. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Shopify Admin Low Inventory Restock?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Shopify Admin Low Inventory Restock?

As many as you like. As long as a model supports skills, you can use Shopify Admin Low Inventory Restock with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Shopify Admin Low Inventory Restock AI skill free?

Yes. It is published on GitHub by 40RTY-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇