Skill name: flexxen-post What it does: Takes any topic and writes 3 branded Instagram post variations — hook, caption, CTA and hashtags — in my exact brand voice, for my exact audience (Pilates and boutique wellness studio owners in Australia). How I trigger it: /flexxen-post [topic] Example: /flexxen-post cancellations and no-shows → 3 ready-to-post captions. Instantly. Saved to a file automatically. One optimisation I made: I added guardrails — no sales pitching, no generic wellness clichés, no American spelling. Because I know my audience and I know what I DON'T want it to write. The output that blew my mind 👇 "I used to absorb every no-show like it was my fault. I'd find reasons. They must be sick. Something came up. I didn't want to be the difficult one. So I'd say nothing. And they'd do it again." I didn't write that. The skill did. In my voice. First try. Next I'm building /flexxen-reel and /flexxen-story so every content format has its own skill. Day 4 tomorrow 🌿 #claudecode #aiautomation #studioowner

Hey everyone 👋 Question for those of you building AI chatbots for clients (or your own product): When you deploy a chatbot on a website, are you actually GDPR-compliant — or are you hoping nobody notices? I’m based in Austria, building AI automation solutions for European SMBs, and the #1 question I get asked isn’t “how smart is your bot?” — it’s: “Where is the data going? Who processes it? Do you have an AVV?” Most US-built chatbots fail this conversation immediately because: • No signed Data Processing Agreement (Art. 28 GDPR requirement) • Subprocessors (OpenAI, Pinecone, Vercel) not disclosed • No Datenschutzerklärung (privacy notice) in the local language • EU AI Act transparency requirements ignored (mandatory from August 2026) Curious — how are you handling this for European clients? Or are you avoiding the European market entirely because it feels too complicated? Happy to share what I’ve built (a 10-point GDPR transparency package) if anyone wants to dig in 🙌