Agent skill

Shopify Admin Demand Forecast Reorder

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

Read-only: forecasts demand per SKU using sales velocity and seasonality, then calculates reorder points and suggested purchase order quantities.

MITAuto-check passedData & Analytics

Install Shopify Admin Demand Forecast Reorder

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-demand-forecast-reorder -a claude-code

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

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-demand-forecast-reorder --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-demand-forecast-reorder .claude/skills/shopify-admin-demand-forecast-reorder && 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/

Paste into Claude Code

Install the "shopify-admin-demand-forecast-reorder" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-demand-forecast-reorder into .claude/skills/shopify-admin-demand-forecast-reorder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-demand-forecast-reorder", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-demand-forecast-reorder

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-demand-forecast-reorder -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-demand-forecast-reorder --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/merchandising/shopify-admin-demand-forecast-reorder .agents/skills/shopify-admin-demand-forecast-reorder && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "shopify-admin-demand-forecast-reorder" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-demand-forecast-reorder into .agents/skills/shopify-admin-demand-forecast-reorder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-demand-forecast-reorder", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-demand-forecast-reorder -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-demand-forecast-reorder --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/merchandising/shopify-admin-demand-forecast-reorder .cursor/skills/shopify-admin-demand-forecast-reorder && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "shopify-admin-demand-forecast-reorder" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-demand-forecast-reorder into .cursor/skills/shopify-admin-demand-forecast-reorder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-demand-forecast-reorder", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/40RTY-ai/shopify-admin-skills.git --path skills/merchandising/shopify-admin-demand-forecast-reorder

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-demand-forecast-reorder -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-demand-forecast-reorder --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/merchandising/shopify-admin-demand-forecast-reorder .gemini/skills/shopify-admin-demand-forecast-reorder && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "shopify-admin-demand-forecast-reorder" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-demand-forecast-reorder into .gemini/skills/shopify-admin-demand-forecast-reorder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-demand-forecast-reorder", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-demand-forecast-reorder

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-demand-forecast-reorder -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/merchandising/shopify-admin-demand-forecast-reorder .github/skills/shopify-admin-demand-forecast-reorder && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "shopify-admin-demand-forecast-reorder" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-demand-forecast-reorder into .github/skills/shopify-admin-demand-forecast-reorder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-demand-forecast-reorder", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-demand-forecast-reorder -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install 40RTY-ai/shopify-admin-skills shopify-admin-demand-forecast-reorder --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/merchandising/shopify-admin-demand-forecast-reorder .opencode/skills/shopify-admin-demand-forecast-reorder && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "shopify-admin-demand-forecast-reorder" agent skill from https://github.com/40RTY-ai/shopify-admin-skills/tree/main/skills/merchandising/shopify-admin-demand-forecast-reorder into .opencode/skills/shopify-admin-demand-forecast-reorder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shopify-admin-demand-forecast-reorder", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: shopify-admin-demand-forecast-reorder
GitHub stars: 194
Token cost: ~1.9k tokens
SKILL.md length: 457 words
Files: 1
Skills in repo: 116
Repo updated: Aug 14, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Read-only: forecasts demand per SKU using sales velocity and seasonality, then calculates reorder points and suggested purchase order quantities.

Works in 6 steps: OPERATION: orders — query → Calculate per-variant sales velocity → OPERATION: productVariants — query → …
Tasks that involve Forecasting and time series
SKILL.md covers Purpose, Prerequisites, Parameters and Safety, plus 6 more sections
Calls shopify

What it does

Shopify Admin Demand Forecast Reorder is an agent skill from 40RTY-ai/shopify-admin-skills. Read-only: forecasts demand per SKU using sales velocity and seasonality, then calculates reorder points and suggested purchase order quantities.

Its SKILL.md is about 1.9k 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 Data & Analytics, covering Forecasting and time series and Forms and invoices. 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 Forecasting and time series
Tasks that involve Forms and invoices

Example prompts

“/shopify-admin-demand-forecast-reorder”

Requirements

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

Workflow steps

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

OPERATION: orders — query
Calculate per-variant sales velocity
OPERATION: productVariants — query
OPERATION: inventoryLevels — query
Calculate reorder metrics
Sort by urgency: items closest to stockout first

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 Demand Forecast Reorder loads about 1.9k tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 457 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~46
When it runs · the whole SKILL.md, loaded when a task matches: ~1.9k

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). 457 words, ~1,867 tokens.

Download SKILL.mdSave it as .claude/skills/shopify-admin-demand-forecast-reorder/SKILL.md (or your agent's skills folder).

name: shopify-admin-demand-forecast-reorder
description: Read-only: forecasts demand per SKU using sales velocity and seasonality, then calculates reorder points and suggested purchase order quantities.
compatibility: Claude Code, Cursor, Codex, Gemini CLI
role: merchandising
toolkit: shopify-admin, shopify-admin-execution
api_version: 2025-01
graphql_operations: orders:query, productVariants:query, inventoryItems:query, inventoryLevels:query
status: stable

Purpose

Forecasts future demand for each SKU based on historical sales velocity, trend analysis, and optional seasonality adjustments. Calculates reorder points (when to order) and suggested reorder quantities (how much to order) factoring in vendor lead times and safety stock. 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

Parameter	Type	Required	Default	Description
store	string	yes	—	Store domain
days_back	integer	no	90	Historical sales window for velocity calculation
forecast_days	integer	no	30	Days into the future to forecast demand
lead_time_days	integer	no	14	Default vendor lead time in days
safety_stock_days	integer	no	7	Extra days of safety stock buffer
vendor_filter	string	no	—	Scope to specific vendor
only_low_stock	boolean	no	false	Only show items projected to stock out within forecast window
format	string	no	human	Output format: `human` or `json`

Safety

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

Workflow Steps

OPERATION: orders — query Inputs: query: "created_at:>='<NOW - days_back days>'", first: 250, select createdAt, lineItems { variant { id }, quantity }, pagination cursor Expected output: All orders with line items for sales velocity calculation
Calculate per-variant sales velocity:
- Daily sales rate = total units sold / days_back
- Weekly trend: compare last 30 days vs prior 30 days for trend direction
- Forecasted demand = daily_rate × forecast_days × trend_multiplier
OPERATION: productVariants — query Inputs: All variant IDs with sales history, first: 250, pagination cursor Expected output: Variant details (SKU, title, product title, vendor)
OPERATION: inventoryLevels — query Inputs: Inventory item IDs for stocked variants Expected output: Current available quantities per location
Calculate reorder metrics:
- Days of Stock = current_inventory / daily_sales_rate
- Reorder Point = (lead_time_days + safety_stock_days) × daily_sales_rate
- Reorder Quantity = forecast_days × daily_sales_rate + safety_stock - current_inventory
- Stockout Date = today + (current_inventory / daily_sales_rate) days
- Order-By Date = stockout_date - lead_time_days
Sort by urgency: items closest to stockout first

Show full SKILL.md (158 more words)Show less

GraphQL Operations

graphql

# orders:query — validated against api_version 2025-01
query SalesHistory($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

# productVariants:query — validated against api_version 2025-01
query VariantInfo($ids: [ID!]!) {
  nodes(ids: $ids) {
    ... on ProductVariant {
      id
      sku
      title
      product { id title vendor }
      inventoryQuantity
      inventoryItem { id }
    }
  }
}

graphql

# inventoryItems:query — validated against api_version 2025-01
query InventoryItemDetails($ids: [ID!]!) {
  nodes(ids: $ids) {
    ... on InventoryItem {
      id
      unitCost { amount currencyCode }
      tracked
      inventoryLevels(first: 10) {
        edges {
          node {
            quantities(names: ["available"]) {
              name
              quantity
            }
            location { id name }
          }
        }
      }
    }
  }
}

graphql

# inventoryLevels:query — validated against api_version 2025-01
query LocationInventory($locationId: ID!, $after: String) {
  location(id: $locationId) {
    inventoryLevels(first: 250, after: $after) {
      edges {
        node {
          quantities(names: ["available"]) { name quantity }
          item { id variant { id sku product { title } } }
        }
      }
      pageInfo { hasNextPage endCursor }
    }
  }
}

Session Tracking

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

On start, emit:

╔══════════════════════════════════════════════╗
║  SKILL: Demand Forecast & Reorder Planner    ║
║  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):

══════════════════════════════════════════════
DEMAND FORECAST & REORDER PLAN  (<days_back>d history → <forecast_days>d forecast)
  SKUs analyzed:       <n>
  Avg daily velocity:  <n> units/day
  ─────────────────────────────
  ⚠️  URGENT (stockout <7 days):
    "<product>" SKU:<sku>  Stock:<n>  Days left:<n>  ORDER BY: <date>
    Reorder qty: <n> units  Est. cost: $<n>

  ⏰ PLAN AHEAD (stockout 7-30 days):
    "<product>" SKU:<sku>  Stock:<n>  Days left:<n>  ORDER BY: <date>

  ✅ HEALTHY (>30 days stock):
    <n> SKUs with adequate stock

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

For format: json, emit:

json

{
  "skill": "demand-forecast-reorder",
  "store": "<domain>",
  "history_days": 90,
  "forecast_days": 30,
  "lead_time_days": 14,
  "skus_analyzed": 0,
  "urgent_reorders": [],
  "planned_reorders": [],
  "healthy_skus": 0,
  "output_file": "reorder_plan_<date>.csv"
}

Output Format

CSV file reorder_plan_<YYYY-MM-DD>.csv with columns: variant_id, sku, product_title, vendor, current_stock, daily_velocity, trend, days_of_stock, stockout_date, reorder_point, reorder_qty, order_by_date, est_cost

Error Handling

Error	Cause	Recovery
`THROTTLED`	API rate limit exceeded	Wait 2 seconds, retry up to 3 times
Zero sales velocity	Product never sold in window	Skip from reorder calc — flag as "no demand data"
No inventory tracking	Variant not tracked	Skip — cannot forecast untracked items

Best Practices

Set lead_time_days per vendor if possible; default 14 is conservative.
Use safety_stock_days: 14 for high-value or slow-ship items.
Run weekly and pipe output into a purchase order workflow.
Cross-reference with stock-velocity-report for velocity validation.
Use with dead-stock-identifier to avoid reordering items that aren't selling.
For seasonal products, use a longer days_back (180-365) to capture seasonal patterns.

Files

Just SKILL.md in skills/merchandising/shopify-admin-demand-forecast-reorder of 40RTY-ai/shopify-admin-skills.

Open the folder on GitHubat commit 6765cb4

Compare with similar skills

Shopify Admin Demand Forecast Reorder 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 Demand Forecast Reorder compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Shopify Admin Demand Forecast Reorder this skill40RTY-ai/shopify-admin-skills	194	—	~1.9k	Automated safety check: Pass	MIT	1 mo ago
Shopify Inventory Managementnexscope-ai/eCommerce-Skills	1.1k	—	~480	Automated safety check: Pass	MIT	1 mo ago
Fee BillingJoelLewis/finance_skills	206	—	~6.8k	Automated safety check: Pass	MIT	2 mo ago
13 Data Analysis Globalminhnv0807/ai-business-skills	609	—	~4k	Automated safety check: Pass	MIT	29 days ago
Trend AnalysisMichaelYang-lyx/AIDABench	111	1 repos	~818	Automated safety check: Pass	None	13 days ago
Shopify B2b Wholesalejeremylongshore/tons-of-skills-marketplace	2.8k	—	~1.6k	Automated safety check: Pass	MIT	yesterday

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Works with

Shopify

Questions about Shopify Admin Demand Forecast Reorder

What does Shopify Admin Demand Forecast Reorder do?

Read-only: forecasts demand per SKU using sales velocity and seasonality, then calculates reorder points and suggested purchase order quantities. Shopify Admin Demand Forecast Reorder is an agent skill from 40RTY-ai/shopify-admin-skills. Read-only: forecasts demand per SKU using sales velocity and seasonality, then calculates reorder points and suggested purchase order quantities.

When should I use Shopify Admin Demand Forecast Reorder?

Shopify Admin Demand Forecast Reorder fits situations like: tasks that involve Forecasting and time series; tasks that involve Forms and invoices.

How do I install Shopify Admin Demand Forecast Reorder in Claude Code?

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

How do I install Shopify Admin Demand Forecast Reorder in Codex?

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

Can I use Shopify Admin Demand Forecast Reorder 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-demand-forecast-reorder -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-demand-forecast-reorder, .gemini/skills/shopify-admin-demand-forecast-reorder, .github/skills/shopify-admin-demand-forecast-reorder and .opencode/skills/shopify-admin-demand-forecast-reorder in your project.

What does Shopify Admin Demand Forecast Reorder need to run?

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

Does Shopify Admin Demand Forecast Reorder 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 Demand Forecast Reorder 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 Demand Forecast Reorder use?

Shopify Admin Demand Forecast Reorder 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 Demand Forecast Reorder use?

About 1.9k tokens (SKILL.md is roughly 7.5k 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 Demand Forecast Reorder?

Skills that share tags, products or a category with Shopify Admin Demand Forecast Reorder: Shopify Inventory Management (nexscope-ai/eCommerce-Skills, 1.1k stars), Fee Billing (JoelLewis/finance_skills, 206 stars), 13 Data Analysis Global (minhnv0807/ai-business-skills, 609 stars) and Trend Analysis (MichaelYang-lyx/AIDABench, 111 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Shopify Admin Demand Forecast Reorder?

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.

Install Shopify Admin Demand Forecast Reorder

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