Agent skill

Shopify Admin Inventory Aging Report

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

Read-only: categorizes inventory into aging buckets (0-30, 31-60, 61-90, 90+ days) based on time since last sale or receipt.

MITAuto-check passed

Install Shopify Admin Inventory Aging Report

skills CLI
$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-inventory-aging-report -a claude-code

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

GitHub CLI
$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-inventory-aging-report --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/merchandising/shopify-admin-inventory-aging-report .claude/skills/shopify-admin-inventory-aging-report && 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-inventory-aging-report
GitHub stars
194
Token cost
~1.5k tokens
SKILL.md length
399 words
Files
1
Skills in repo
116
Repo updated
First seen
Licence
MIT

At a glance

Read-only: categorizes inventory into aging buckets (0-30, 31-60, 61-90, 90+ days) based on time since last sale or receipt.

  • Works in 6 steps: OPERATION: productVariants — query → Filter to variants with… → OPERATION: orders — query → …
  • SKILL.md covers Purpose, Prerequisites, Parameters and Safety, plus 6 more sections
  • Calls shopify

What it does

Shopify Admin Inventory Aging Report is an agent skill from 40RTY-ai/shopify-admin-skills. Read-only: categorizes inventory into aging buckets (0-30, 31-60, 61-90, 90+ days) based on time since last sale or receipt.

Its SKILL.md is about 1.5k 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-inventory-aging-report”

Requirements

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

Workflow steps

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

  1. OPERATION: productVariants — query
  2. Filter to variants with inventoryQuantity > 0
  3. OPERATION: orders — query
  4. For each stocked variant, determine aging
  5. OPERATION: inventoryItems — query
  6. Calculate per bucket

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 Inventory Aging Report loads about 1.5k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 399 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
~1.5k

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). 399 words, ~1,538 tokens.

Download SKILL.mdSave it as .claude/skills/shopify-admin-inventory-aging-report/SKILL.md (or your agent's skills folder).
name
shopify-admin-inventory-aging-report
description
Read-only: categorizes inventory into aging buckets (0-30, 31-60, 61-90, 90+ days) based on time since last sale or receipt.
compatibility
Claude Code, Cursor, Codex, Gemini CLI
role
merchandising
toolkit
shopify-admin, shopify-admin-execution
api_version
2025-01
graphql_operations
productVariants:query, orders:query, inventoryItems:query
status
stable

Purpose

Categorizes all inventory into aging buckets based on how long items have been sitting without selling. Calculates carrying cost exposure by bucket to prioritize markdown or liquidation decisions. Goes deeper than dead-stock identification by providing aging granularity. Read-only — no mutations.

Prerequisites

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

Parameters

ParameterTypeRequiredDefaultDescription
storestringyes—Store domain
bucketsstringno0-30,31-60,61-90,91-180,181+Comma-separated aging buckets in days
carrying_cost_pctfloatno25Annual carrying cost as % of inventory value (industry avg 20-30%)
vendor_filterstringno—Scope to specific vendor
formatstringnohumanOutput format: human or json

Safety

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

Workflow Steps

  1. OPERATION: productVariants — query Inputs: first: 250, select id, sku, inventoryQuantity, inventoryItem { id, unitCost }, product { title, vendor, status }, pagination cursor Expected output: All variants with stock and cost data

  2. Filter to variants with inventoryQuantity > 0

  3. OPERATION: orders — query Inputs: query: "created_at:>='<NOW - 365 days>'", first: 250, select createdAt, lineItems { variant { id }, quantity }, pagination cursor Expected output: Sales history to determine last-sold date per variant

  4. For each stocked variant, determine aging:

    • Find most recent order containing this variant → last_sold_date
    • If never sold, use product creation date as proxy
    • Age = today - last_sold_date
    • Assign to aging bucket
  5. OPERATION: inventoryItems — query Inputs: Inventory item IDs for cost data Expected output: Unit costs for value calculation

  6. Calculate per bucket:

    • Total units
    • Total value (units × unitCost)
    • Monthly carrying cost = (value × carrying_cost_pct / 100) / 12
    • % of total inventory value
Show full SKILL.md (140 more words)Show less

GraphQL Operations

graphql
# productVariants:query — validated against api_version 2025-01
query VariantsWithStock($query: String, $after: String) {
  productVariants(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        sku
        inventoryQuantity
        product { id title vendor status createdAt }
        inventoryItem {
          id
          unitCost { amount currencyCode }
        }
      }
    }
    pageInfo { hasNextPage endCursor }
  }
}
graphql
# orders:query — validated against api_version 2025-01
query RecentSales($query: String!, $after: String) {
  orders(first: 250, after: $after, query: $query) {
    edges {
      node {
        createdAt
        lineItems(first: 50) {
          edges {
            node {
              quantity
              variant { id }
            }
          }
        }
      }
    }
    pageInfo { hasNextPage endCursor }
  }
}
graphql
# inventoryItems:query — validated against api_version 2025-01
query InventoryItemCosts($ids: [ID!]!) {
  nodes(ids: $ids) {
    ... on InventoryItem {
      id
      unitCost { amount currencyCode }
    }
  }
}

Session Tracking

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

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: Inventory Aging Report               ║
║  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):

══════════════════════════════════════════════
INVENTORY AGING REPORT
  Total SKUs with stock:  <n>
  Total inventory value:  $<amount>
  ─────────────────────────────
  AGING BUCKETS:
  0-30 days:    <n> SKUs  $<value> (<pct>%)  ✅ Fresh
  31-60 days:   <n> SKUs  $<value> (<pct>%)  ⚠️ Watch
  61-90 days:   <n> SKUs  $<value> (<pct>%)  ⚠️ Aging
  91-180 days:  <n> SKUs  $<value> (<pct>%)  🔴 Stale
  181+ days:    <n> SKUs  $<value> (<pct>%)  🔴 Dead

  Monthly carrying cost: $<amount>
  Annual carrying cost:  $<amount>

  Top aging items by value:
    "<product>" SKU:<sku>  Age:<n>d  Qty:<n>  Value:$<n>

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

Output Format

CSV file inventory_aging_<YYYY-MM-DD>.csv with columns: variant_id, sku, product_title, vendor, quantity, unit_cost, total_value, last_sold_date, age_days, aging_bucket, monthly_carrying_cost

Error Handling

ErrorCauseRecovery
THROTTLEDAPI rate limit exceededWait 2 seconds, retry up to 3 times
Missing unitCostNo COGS dataUse $0 for value — flag as "cost unknown"
No sales historyNew product or never soldUse product creation date as aging start

Best Practices

  • Use carrying_cost_pct: 25 as default (includes storage, insurance, opportunity cost, shrinkage).
  • Items in 90+ day buckets are strong candidates for markdowns — use bulk-price-adjustment.
  • Cross-reference with dead-stock-identifier and stock-velocity-report for a complete inventory health picture.
  • Run monthly to track aging trends and measure liquidation effectiveness.

© 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/merchandising/shopify-admin-inventory-aging-report of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Inventory Aging Report 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 Inventory Aging Report compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Shopify Admin Inventory Aging Report this skill40RTY-ai/shopify-admin-skills194—~1.5kAutomated 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 Inventory Aging Report

What does Shopify Admin Inventory Aging Report do?

Read-only: categorizes inventory into aging buckets (0-30, 31-60, 61-90, 90+ days) based on time since last sale or receipt. Shopify Admin Inventory Aging Report is an agent skill from 40RTY-ai/shopify-admin-skills. Read-only: categorizes inventory into aging buckets (0-30, 31-60, 61-90, 90+ days) based on time since last sale or receipt.

How do I install Shopify Admin Inventory Aging Report in Claude Code?

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

How do I install Shopify Admin Inventory Aging Report in Codex?

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

Can I use Shopify Admin Inventory Aging Report 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-inventory-aging-report -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-inventory-aging-report, .gemini/skills/shopify-admin-inventory-aging-report, .github/skills/shopify-admin-inventory-aging-report and .opencode/skills/shopify-admin-inventory-aging-report in your project.

What does Shopify Admin Inventory Aging Report need to run?

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

Does Shopify Admin Inventory Aging Report 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 Inventory Aging Report 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 Inventory Aging Report use?

Shopify Admin Inventory Aging Report 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 Inventory Aging Report use?

About 1.5k tokens (SKILL.md is roughly 6.2k 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 Inventory Aging Report?

Skills that share tags, products or a category with Shopify Admin Inventory Aging Report: 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 Inventory Aging Report?

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.