Bundling the skills with the template is a smart move, feels like you're selling the workflow and not just the layout. Does the agent keep the page consistent with the existing CMS styles on its own, or do you still end up nudging spacing by hand?
Built a reporting workflow that brings Shopify sales data, Meta Ads spend, and COGS into one automated Google Sheets P&L.
The workflow:
🛍️ Shopify API → Sales, orders, refunds & product data
📣 Meta Ads API → Advertising spend & campaign data
📁 Google Drive → COGS file uploads
⚙️ Google Sheets + Apps Script → Data cleaning, calculations & reporting
The final P&L can track:
• Revenue
• COGS
• Gross Profit & Margin
• Ad Spend
• Net Profit
• Product-level profitability
The goal is simple: reduce manual reporting and give the business a clearer view of actual profitability.
Built by Skillytics Consulting for practical ecommerce analytics and automation.
Building AI for healthcare leaves zero room for error.
I’m currently collaborating with an incredible team on Raphald AI, a medical detection application. Building the systems for a project with stakes this high is a massive reminder that the underlying backend architecture matters just as much as the machine learning model itself.
When integrating diagnostic AI, your API endpoints cannot drop requests, and your database workflows demand absolute integrity. You aren't just passing JSON payloads; you are handling critical, real-time workflows where stability is non-negotiable.
Engineering these systems continues to shape my approach to building robust Python backends. If you are developing a product that requires reliable AI integration or rock-solid FastAPI infrastructure, check out the newly updated services on my profile. Let's build something that works when it counts.