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Guide: Teach Claude Your Ecommerce Workflows Once And Never Explain Them Again
Every ecommerce operator with a VA team knows the tax: you document a process, hand it off, then re-explain it three more times when the output comes back wrong. Written SOPs miss the small judgment calls. Loom walkthroughs get watched once and forgotten. And the AI version has been just as tedious — you write a long prompt, anticipate every edge case, and hope the model interprets it the way you meant.
Claude's Record a Skill feature removes that step entirely. Instead of writing instructions, you screen-record yourself doing the task once while narrating your reasoning out loud. Claude watches the screen, the clicks, the typing, and your voice, then turns the whole demonstration into a reusable skill it can run again on demand. The narration is the part that matters most: saying "if the payout total is blank, leave me a note instead of guessing" teaches Claude an exception a bare click-track never would.
Whether you sell on Amazon, run a Shopify store, or manage both across a handful of channels, the payoff is the same: the process that currently lives in your head — or in a VA's head — becomes a durable, rerunnable asset. You show it once, the way you actually do it, and Claude produces the SOP for you.
What You'll Need
Plan and app access
A Claude Pro, Max, or Team plan. Record a Skill is paid-only; free users can run existing skills but can't record new ones.
The Claude desktop app (not the browser). The feature needs to observe and, in some cases, drive your computer, so desktop is required.
Cowork enabled, since Record a Skill lives inside the Cowork environment.
Before you hit record — a privacy pass
Screen recording captures everything visible on screen, not just the click sequence Claude needs. That means Seller Central details, your Shopify admin, supplier invoices, payout figures, and email inboxes can all be swept in.
Close every tab and window you don't need for the task. This protects sensitive data and prevents Claude from getting confused by unrelated screens.
A prepared task
Pick one repetitive, well-defined process you already do the same way every time.
Have the relevant files, folders, and templates open and organized before recording, so you can walk the process cleanly rather than hunting mid-demo.
Step 1: Open Record a Skill
Launch the Claude desktop app and switch the Cowork toggle on in whatever workspace you're using. A dedicated Cowork project works well here — for example, an "Operations" project where your store workflows live.
Click the plus (+) button in the chat box and choose Record a skill from the menu. A confirmation box appears explaining that your screen, clicks, typing, and voice will be recorded and sent to Claude to be turned into a repeatable skill.
Step 2: Plan the Walkthrough Before You Press Record
This is the difference between a strong skill and a weak one. Once you start recording, you're not doing a silent run-through — you're narrating to Claude as if you're training a new VA on their first day.
Decide in advance:
The exact start and end points of the task.
The order of steps, so you don't backtrack.
The judgment calls and exceptions you want Claude to inherit ("categorize anything with 'ads' or 'PPC' in the description as advertising," "if a number doesn't reconcile, flag it for me").
A rushed, silent walkthrough produces a rushed, silent skill. A deliberate, narrated one is what makes the automation durable.
Step 3: Record and Narrate the Task
Hit start recording, then complete the task exactly the way you always do it while talking through each move and the reasoning behind it.
Narration structure that works, modeled on how the feature is meant to be taught:
"First I'm opening the blank monthly report template.
Now I'm pulling last month's sales data from the store's analytics
dashboard.
I'm exporting it as a CSV and saving it into this client's folder.
Next I total the revenue column here and drop the number into this box.
Then I do the same for orders and sessions.
If any figure looks off or doesn't add up, I leave a note for myself
explaining what happened rather than forcing a number in."The clicks tell Claude the sequence. The narration tells Claude why — which is what lets it handle the same task next month when the numbers are different.
Processes that map directly to this:
Monthly performance reports — pulling sales and traffic data (Seller Central business reports, Shopify analytics, GA4, or your ad platforms), summarizing the good, the bad, and what's holding steady, then drafting the recap email. This is the reporting workflow the feature was demonstrated on, translated to a store context.
New product launch setup — creating the product folder, copying your listing or PDP template, renaming it to your naming convention, and filling in the starting fields. Works the same whether it's a new Amazon SKU or a new Shopify product page.
Payout and invoice reconciliation — opening each disbursement, gateway payout, or supplier invoice and copying date, vendor, amount, and category into your tracking sheet, with a rule to flag anything that doesn't reconcile.
Weekly sales dashboard — totaling this week's figures from an export and dropping them into your recurring template.
When you're done, stop the recording. Claude processes the demonstration — this can take a few minutes for a longer task with many steps.
Step 4: Answer Claude's Clarifying Questions
Claude may come back with questions before it finalizes the skill — for example, how it should pull the data (drive the browser for you versus wait for an export), what format the final deliverable should be, or whether an email should be sent or left as a draft only.
These clarifications are where you lock in your preferences. "Draft only, never send" is a common and sensible answer for anything client- or customer-facing.
Step 5: Review the Generated Skill
Claude produces a SKILL.md file — the written instructions it distilled from your demonstration. This is worth reading. A well-built skill will contain the step-by-step workflow, the rule that matters most (e.g., "draft the email, don't send it"), and a definition of what a good output looks like versus a generic one.
If something isn't quite right, you can edit the skill directly before saving — adjusting the branding, tightening a rule, or pointing it at another skill you've already built. Then save it to your skills library.
Step 6: Test It, Then Strengthen It With More Examples
Run the skill on a real task — either by typing a slash command to invoke it specifically, or just by asking in plain language ("create this month's performance report for [product]"). The most reliable setup is to run it inside a Cowork project with a folder attached, so the relevant files stay in one place and Claude pulls from the right source every time.
Expect the first version to need review. In the feature's own demos, single-example skills stumbled on scenarios they were never shown — a missing total, an unusual vendor name. The fix is the same as training a person: give it more examples. Rather than recording one order or one product, walk through several, including the awkward edge cases, so the skill learns how to handle them. Skills can be updated any time, so treat the first save as a draft you refine.
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The Quick Read:
OpenAI launches GPT-6 Astra, claiming state-of-the-art on computer use, coding, and science benchmarks, saturating FrontierMath Tier 4 at 98% and ARC-AGI-3 at 99.9%. Rolling out to ChatGPT tiers and API now.
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OpenAI's ad business hits $1 billion annualized revenue run rate just 200 days in, expanding self service ads to India, Europe, and MENA as it preps for a massive IPO.
Google now defaults some AI Overviews into a full AI Mode style answer with an open Ask anything box, burying the ten blue links further down the results page.
A new analysis argues SEO agencies must ditch content deliverables since AI undercuts them on cost, and instead sell strategy and PR work that shapes LLM citation trust.
The Tools List:
🖥️ Sheet Copilot - Run tasks in Google Sheets using AI.
🧾 Kick - Daily bookkeeping for the modern business owner. Minimize your audit risk, and only pay when you save.
🖼️ Da Vinci - Powerful free AI image generator
👨💼 KPI Builder - Find the KPIs you should care most about as a founder (link)
About The Writer:
Jo Lambadjieva is an entrepreneur and AI expert in the e-commerce industry. She is the founder and CEO of Amazing Wave, an agency specializing in AI-driven solutions for e-commerce businesses. With over 13 years of experience in digital marketing, agency work, and e-commerce, Joanna has established herself as a thought leader in integrating AI technologies for business growth.
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