Built for real Shopify CSV exports
Not toy examples
Run data-heavy inventory analysis on real Shopify exports. These GitHub-distributed agent skills help you identify dead stock, classify top SKUs, generate inventory health reports, clean messy CSVs, and compare SKU performance across periods.
Not toy examples
Dead stock, replenishment, SKU prioritization
One command per skill
Search and AI citation ready
These are Shopify inventory agent skills, not official Anthropic or OpenAI assets. They are designed to be GitHub-distributed building blocks that fit agentic workflows such as Claude Code, Codex, and similar toolchains where reusable instructions, scripts, and resources matter.
Each skill installs from its GitHub repo. Use the repo slug shown on the skill page, then run:
npx skills add useretrace/<repo>That is the install path for Claude Code, Codex, and similar skills-compatible workflows.
Start with the inventory question you need to answer. Each skill is focused on a specific job and produces a concrete output from Shopify exports.
Identify dead stock and slow-moving inventory from Shopify product and order CSVs, with aging, sell-through, and carrying-cost signals.
Clean messy Shopify product, order, and inventory CSV exports before re-import or downstream analysis.
Generate a Shopify inventory health report with reorder points, safety stock, stockout risk, and replenishment guidance.
Run Shopify ABC analysis on product and order CSVs to classify SKUs by revenue contribution and prioritize top-selling inventory.
Compare Shopify SKU performance across two periods with ABC drift, tier movement, and top-mover reporting.
Each skill is distributed through GitHub and can be installed independently. In practice, most merchants or operators start with one of two paths:
Start with Inventory Export Cleaner if files are messy
Then add adjacent skills as needed
| If your problem is... | Start here | Then consider |
|---|---|---|
| My Shopify export is messy | Inventory Export Cleaner | ABC Analysis, Dead Stock, Inventory Health |
| I need to free up cash in stale inventory | Dead Stock | ABC Analysis, Inventory Health |
| I need better reorder decisions | Inventory Health | ABC Analysis |
| I need to see which SKUs matter most | ABC Analysis | Dead Stock, SKU Performance Comparison |
| I need to compare two periods | SKU Performance Comparison | ABC Analysis, Inventory Health |
If your problem is...
My Shopify export is messy
Start here
Inventory Export Cleaner
Then consider
ABC Analysis, Dead Stock, Inventory Health
If your problem is...
I need to free up cash in stale inventory
Start here
Dead Stock
Then consider
ABC Analysis, Inventory Health
If your problem is...
I need better reorder decisions
Start here
Inventory Health
Then consider
ABC Analysis
If your problem is...
I need to see which SKUs matter most
Start here
ABC Analysis
Then consider
Dead Stock, SKU Performance Comparison
If your problem is...
I need to compare two periods
Start here
SKU Performance Comparison
Then consider
ABC Analysis, Inventory Health
Retrace is building inventory tracking for Shopify. These free skills are useful on their own, but they also show the kinds of questions merchants need answered from real operational data: what to reorder, what to cut, what changed, and whether the export can be trusted in the first place.
Practical details about the skill collection, install path, and where GitHub fits into the workflow.
Shopify inventory agent skills are focused tools that process exports such as product and order CSVs to answer a specific operational question. In this collection, each skill handles one job like dead stock analysis, ABC analysis, replenishment, export cleanup, or period comparison.
These are GitHub-distributed agent skills. The website explains what each one does and helps users choose the right one, while GitHub is the execution and install destination.
They are best described as Shopify inventory agent skills. They are structured so they can fit Claude Code, Codex, and similar agent workflows, but they are published by Retrace rather than by Anthropic or OpenAI.
Choose the skill that matches your inventory problem, open the GitHub repo, and follow the install and usage instructions there. The website is the explanation layer; GitHub is the execution layer.
If your files are messy, start with Inventory Export Cleaner. If your main question is about stale inventory, start with Dead Stock. If your main question is about ordering, start with Inventory Health.
Most of the skills are designed for Shopify exports first, but several also support generic sales CSVs with column overrides. The exact requirements are listed on each repo.
Calculators work when you already know every input and only need one formula. These skills are more useful when you need to process real exports and produce a full report, classification, or cleanup result across many SKUs.
Open the repo and run npx skills add useretrace/<repo> with the repo name shown on that page. These skills are designed to install cleanly in Claude Code, Codex, and similar skills-compatible workflows.
No. The install pattern is the same across the collection. Only the repo slug changes from skill to skill.
Choose the skill that matches the problem you need to solve today, then install it from GitHub with the repo slug and run it on real Shopify exports.