Inventory Planner
AnthropicOfficialPublished by Anthropic
- Skill
- Workflow
- Business and productivity
- Apache-2.0
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
Inventory Planner helps businesses optimize stock levels by analyzing sales history and current inventory. It calculates sales velocity over 7-day and 28-day windows to project stockout dates and determine appropriate reorder quantities. The skill distinguishes between items that need replenishment and those that are stagnant, providing clear visibility into cash tied up in overstock or dead stock. It supports data ingestion from major platforms like Shopify, Square, and NetSuite, or via CSV, and ensures all purchase orders and vendor communications are reviewed and approved by the user before execution.
What it does
- Computes 7-day and 28-day sales velocity to identify trends.
- Projects conservative stockout dates based on current inventory and demand.
- Sizes 60-day reorder quantities while accounting for lead times and inbound stock.
- Flags overstock, dead stock, and zero-velocity items to improve cash flow.
- Drafts professional purchase orders and vendor emails for user approval.
- Applies seasonal adjustments only when sufficient historical data is available.
When to use it
- When you need to determine which items to reorder to prevent stockouts.
- When you want to identify stagnant inventory that is tying up cash.
- When preparing to place orders with suppliers and needing draft documentation.
- When you need a clear report on warehouse cash value and stock health.
Advantages
- Prevents lost sales by identifying items nearing stockout status.
- Reduces capital tied up in dead or slow-moving inventory.
- Ensures reorder quantities are based on actual sales data rather than guesswork.
- Provides transparency into the reasoning behind every reorder recommendation.
- Maintains control by requiring explicit approval for all financial commitments.
Usage examples
- “What do I need to reorder this month?”
- The agent analyzes your sales history and current stock to present a prioritized list of items to reorder, including quantities and estimated costs.
- “How much cash is sitting in the warehouse?”
- The agent identifies slow-moving and dead stock, calculating the total dollar value of items that are not currently generating sales.
- “Draft a PO for my supplier.”
- The agent generates a purchase order and a corresponding vendor email based on your current stock needs for your review and approval.
- “Am I going to run out of filters?”
- The agent checks the sales velocity and current stock of your filters to report if you are at risk of a stockout and if there is still time to reorder.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/anthropics/inventory-planner/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip inventory-planner.zip -d .agents/skills
Documentation by Anthropic
Inventory Planner
Buy what sells, before it runs out, and stop buying what doesn't.
Stock is cash the owner already spent. Two things go wrong: running out of the item customers came for, and sitting on a pallet of something nobody wants. Both are visible in the sales history well before they become a problem, which is what this skill reads for.
Step 1 — Get sales and stock
Preferred: Shopify for sales and inventory levels. Square and NetSuite work the same way.
Fallback, fully supported: a CSV of sales history plus a stock-on-hand count. Two files, or one with both. This path works with zero connectors and gives the same output. Many businesses count on a clipboard, and that is a legitimate input.
You need, per item: SKU, name, units sold by date, current stock on hand, unit cost, unit price, vendor, and lead time if known. Missing lead time is asked for once and remembered — see reference/data_sources.md.
Say what the count is as of. A stock figure two weeks old produces a stockout date two weeks wrong.
Step 2 — Compute velocity, both windows
For every item, compute:
7-day velocity — units per day over the last week. Catches what is happening now.
28-day velocity — units per day over four weeks. The stable baseline.
Both matter, and disagreement between them is information. An item selling three times its 28-day rate this week is either trending or had one bulk order, and those need different responses. reference/velocity_and_reorder.md covers how to tell them apart.
Exclude one-off distortions from the baseline where you can identify them: a single wholesale order, a returned batch, a stockout period where the item could not sell. A period of zero sales because there was no stock is not zero demand, and treating it as such is how an item gets under-ordered forever.
Step 3 — Project stockout dates, conservatively
Stockout date is stock on hand divided by the daily velocity you trust least — the higher of the two windows. Being early is cheap; being late loses the sale.
Then compare against lead time. The number that matters is not when it runs out, it is whether there is still time to order:
Past the point of no return — lead time exceeds days of cover. Already going to stock out. Say so plainly.
Order now — cover is within lead time plus a safety buffer.
Order soon — comfortable, but on the next cycle.
Fine — no action.
Never state a stockout date for an item with no reliable velocity. New items with two weeks of history and items whose sales were interrupted get flagged as "not enough history," by name.
Step 4 — Size the reorder
Default target is 60 days of cover plus the lead time, sized on the 28-day rate — not on the faster of the two. The stock has to last from the day it lands until the next order lands, so leaving the lead time out runs the item short by exactly that many days every cycle. Then adjust for pack size, minimum order quantity, and what is already on order.
The two rates do different jobs and both get named on the line: the higher one says when it runs out, the 28-day one says how much to buy. Sizing a 60-day order off a one-week spike is how cash ends up in a pallet.
Never size a reorder without subtracting inbound stock. Double-ordering a slow item is how a business ends up with three years of it.
Round to the vendor's pack size and say which direction you rounded. Show the dollar cost of every recommendation — the owner is deciding about cash, not units.
Step 5 — Handle the items that are not moving
Zero-velocity and very slow items are a separate list with a separate purpose. They are never reorder candidates.
Zero velocity — no units in 28 days. Report as a slow mover with the cash tied up in it. Never compute days of cover for these — nothing is selling, so nothing is running out, and the number is either an error or nonsense. The one exception is an item inside a season the owner has named, which goes on a dated watch list instead of the clear-out list.
Overstock — more than 120 days of cover. Report the excess units and the dollars.
Dead stock — no movement in 90 days. Suggest clearing, bundling, or discounting.
Total the cash sitting in these. That figure is usually the most surprising number in the whole report and often the most useful one.
Step 6 — Apply seasonality only where history supports it
With at least a year of history, compare the coming period against the same period last year and adjust.
With less than a year, say so and do not adjust. A seasonal multiplier invented from nine months of data is a guess wearing a suit. Ask the owner instead — they know their season better than a short history does. reference/seasonality.md covers both paths.
Step 7 — Present the buy list
Lead with the total dollar amount and the count of items about to stock out. Then: order now, order soon, slow movers, and anything with too little history to judge.
Every line carries the numbers behind it — velocity, days of cover, lead time, quantity, cost. An owner who can see the reasoning approves in a minute; one who cannot rebuilds the whole thing by hand.
Render the buy list as an HTML artifact using the house artifact style (../../shared/artifact-style.md): a stockout table sorted by stockout date with mono tabular-nums numerals, urgency status pills (order now / order soon / fine / past the point of no return), a reorder panel with quantities and dollar totals, and a slow-movers section with the cash tied up in it. The chat summary stays — the artifact is the full picture, not the only one.
Step 8 — Draft POs and vendor emails, with approval
Purchase orders commit money and vendor emails go out under the owner's name, so both wait for an explicit yes.
State the vendor, the line items, and the total before asking. Draft the vendor email in the owner's voice per the shared voice profile. If no profile exists yet, follow that file's "When there is no sample" instruction — ask for three emails they have already sent a supplier. If they would rather not, write the email plain and neutral and say it is not in their voice. Never invent a personality for someone's vendor relationship.
With Google Calendar connected, offer a recurring block for the restock decision — this works far better as a rhythm than as a fire drill. Keep the approved PO document here — this skill owns it. With QuickBooks or NetSuite connected, hand ap-processor the coded memo for each one (vendor, PO number, total, expected date, and the account, class, and job), so the bill three-way-matches against a real record when it arrives. ap-processor reads POs; it does not create them.
Closing offer
Close with one line on what was decided — the total buy and the items about to run out. Then offer the most relevant next step with its exact trigger phrase: "reorder" (/restock) when the owner wants the POs drafted and sent end to end. Up to two more from the router's table, such as "cash forecast" (cash-flow-snapshot) or "pay the bills" (/pay-the-bills). Three offers at most, and never repeat one the owner already declined this session.
What not to do
Do not invent a velocity, a lead time, or a stockout date. Too little history is reported by SKU, not smoothed over.
Do not treat an out-of-stock period as zero demand. It is suppressed demand and it biases everything downstream.
Do not recommend reordering a zero-velocity item. No sales means stop buying, not buy more.
Do not size a reorder without subtracting what is already inbound.
Do not apply seasonality without a year of history. Ask the owner instead.
Do not send a PO or a vendor email without approval. Both spend money or spend goodwill.
Do not report units without dollars. The owner thinks in cash.
Reference files
reference/data_sources.md— Shopify, Square, NetSuite, and the CSV path, with required fieldsreference/velocity_and_reorder.md— the 7/28-day math, distortion handling, and reorder sizingreference/seasonality.md— when to adjust, when to ask, and how to say which you didreference/po_drafting.md— purchase order structure and vendor email draftingreference/gotchas.md— the mistakes that stock out a bestseller or bury cash in a pallet
Using a tool that isn't listed
The connectors named in this skill are the tested paths, not a wall. If the owner wants this flow to use a tool that isn't connected or listed, offer build-connector — it checks the connector directory first and connects through Zapier otherwise, never hand-building against a raw API. Once the connection exists, the tool joins this skill like any other optional connector, under the same approval gates.
Files
- ATTRIBUTION.mdAdded by AutoGineer915 B
- LICENSELicence file added by AutoGineer11.3 KiB
- SKILL.md9.7 KiB
- reference/data_sources.md4.3 KiB
- reference/gotchas.md4.4 KiB
- reference/po_drafting.md3.8 KiB
- reference/seasonality.md5.3 KiB
- reference/velocity_and_reorder.md8.4 KiB
reference/data_sources.md
Data Sources
Where sales and stock come from, and what has to be in the data before any of the math is trustworthy.
Required fields
Everything downstream depends on these. Anything missing gets asked for once and remembered.
| Field | Needed for | If missing |
|---|---|---|
| SKU or item ID | Everything | Cannot proceed for that item |
| Item name | The report being readable | Use the SKU and say the name is missing |
| Units sold, by date | Velocity | No velocity, no stockout date. Flag the item |
| Stock on hand | Days of cover | Flag; velocity alone cannot tell you when it runs out |
| As-of date for the count | Accuracy of everything | Ask. A stale count is the most common silent error here |
| Unit cost | Dollar figures on the buy list | Report units only for that item and say why |
| Unit price | Overstock cash and margin context | Optional, useful |
| Vendor | PO drafting | Group as "vendor unknown" and ask |
| Lead time | Whether there is still time to order | Ask once per vendor and remember |
| Units on order | Not double-ordering | Ask. This one is worth chasing — it causes real over-buying |
| Pack size / MOQ | Realistic quantities | Round to whole units and note it was not applied |
Shopify
The preferred source. Pull:
Orders with line items over the lookback window, at least 90 days, 400 days if seasonality is in scope
Inventory levels per variant per location (
get-inventory-levelstakes oneproductIdper call; loop the products the run needs —../../../shared/connector-call-shapes.md)Product and variant records for cost, price, and vendor
Watch for:
Multi-location inventory. Total across locations only if the owner sells from one pool. Otherwise stockouts are per location and a total hides them.
Variants. Velocity belongs at the variant level. A shirt that sells fine in medium and never in XL looks healthy at the product level.
Cancelled and refunded orders. Exclude them from units sold.
Bundles and kits. A bundle sale consumes component stock. If the store uses bundles, ask how components are tracked before trusting the numbers.
Square
Same shape, different names. Sales come from transactions, stock from the item catalog inventory counts. Square inventory tracking is often partially enabled — check which items actually have counts before treating a zero as a zero.
NetSuite
The ERP path for the top end. Item records carry cost, preferred vendor, lead time, and reorder points already set by someone. Use the existing reorder points as context, not as truth — they are frequently years stale, and pointing out where the computed number diverges from the stored one is genuinely useful.
The CSV path
A fully supported first-class mode. Two files or one.
Sales history file, one row per sale or per item-day:
sku, date, units_soldStock file:
sku, name, on_hand, unit_cost, vendor, lead_time_days, on_orderAccept whatever column names came out of their system and map them. Report the mapping back so the owner can catch a wrong guess before it becomes a purchase order.
Ask for the as-of date of the stock count. It is almost never in the file, and it is the difference between a stockout date that is right and one that is two weeks late.
Data quality checks before any math
Run these and report what they find:
Negative stock. Real in most systems, and it means the count is wrong. Flag it.
Items with sales and no stock record, or stock and no sales record.
Duplicate SKUs with different names.
A history window shorter than 28 days — say so; the 28-day velocity will not be reliable.
Zero-sales stretches that coincide with zero stock. These are stockouts, not demand. See
velocity_and_reorder.md.
Worked example
Okonkwo Mechanical stocks common parts on the trucks and in the shop. No Shopify — Ray exported two CSVs from his supply-house portal and counted the shop shelf on a Saturday.
84 SKUs, 120 days of usage history
Stock count as of 3/15, confirmed with Ray
Lead times missing for all of them; Ray gave two by vendor: Ferguson 3 days, Watsco 10 days
6 SKUs had usage but no stock line — parts pulled straight to jobs, never shelved. Excluded and reported
2 negative counts flagged, both compressors, both recounted
Requirements and compatibility
Written for: Claude Code, Claude apps
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Declares allowed tools
Security
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Attribution and licence
- Published by
- Anthropic
- Publisher
- Anthropic (Official)
- Source
- anthropics/knowledge-work-plugins · small-business/skills/inventory-planner · commit e050c2e
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
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