A collection of motion videos made with Claude Opus 5.5, with the prompts and skills behind them in the PROMPT section in CLASSROOM We can now make so many exciting motion graphic elements in our videos with just a simple prompt in Claude Code! https://prompt-motion.com

Okay, this one is kind of wild 🤯 I found a Chrome extension called Higgsfield Instant that lets you use images you find online as a creative reference - then recreate the energy of the shot inside Higgsfield ✨ See a composition, lighting setup, styling direction, or overall mood you love? Instead of trying to reverse-engineer it from scratch, you can right-click and start from that reference 🖱️ It also includes a face-swap option 👤 The creative-director note: use it to study and direct the ingredients: light 💡 framing 📐 texture ✨ mood 🎭 silhouette 🖤 - not just to make a carbon copy of someone else’s work. Great for: - 📌 Building a reference library faster - 👁️ Decoding why an image works - 🎬 Testing a campaign-grade direction in seconds - 🧠 Training your eye while you scroll The eye can’t be generated. It can be taught. How to get it 👇 1. 💻 Open the link in Google Chrome 2. ➕ Click Add to Chrome 3. ✅ Click Add extension 4. 🧩 Pin it from Chrome’s puzzle-piece icon 5. 👀 Right-click any image and choose Recreate ✨ Get Higgsfield Instant here

I use this every day, and it really helps me so much. I thought I would share it with all of you. AI Agent - Superpowers with Agent Reach ⚡️ Most AI tools can answer questions. 🤖 But the best answers often live in real conversations happening right now—in Reddit threads, YouTube tutorials, GitHub updates, X conversations, industry communities, and niche websites. 🔎💬🎥 That’s what Agent Reach helps unlock. 🚀 👀 What is Agent Reach? Agent Reach is a free, open-source skill that gives an AI agent a smarter way to research across the internet. 🌍 Think of it as a research switchboard. Instead of you—or your AI—having to figure out the perfect tool for every website, Agent Reach helps route the task to the right source and checks whether that source is actually available. 🧠⚙️ It can help an agent research sources like: - 🌐 Web articles and websites - 💬 Reddit and X conversations - 🎬 YouTube videos and transcripts - 💻 GitHub repositories and updates - 📱 LinkedIn, Instagram, Youtube, and other specialist platforms ✨ Why it matters There’s a huge difference between: “Give me an answer.” …and: “Research this properly.” 🔥 With the right research workflow, your AI can help you: - 🗣️ Find real customer language before writing content - 📈 Research competitors and emerging trends - 👥 Pull insights from communities—not just generic search results - 🎥 Review tutorials, product discussions, and GitHub activity - 🧩 Compare sources before making a business, creative, or client decision The secret is not simply asking AI to “search the web.” The secret is giving it a research system that knows where to look, how to check what’s working, and how to adapt when a source changes. 🎯 🧪 A simple example Instead of asking: What are people saying about AI fashion campaigns? Try: Research current discussion around AI fashion campaigns. Check editorial coverage, Reddit conversations, X discussion, and examples on Instagram. Separate verified facts from opinions, cite your sources, and tell me the recurring themes.

Nano Banana 2.1 just came out, and everybody's raving about it. What do you think? I ran the same beauty/fashion concept through four different image models to compare how each one handles realism, skin, eyes, lips, hair, expression, and overall editorial quality. The contenders: 🖤Soul 2.0 🌈Seedream Pro 5.0 🍌 Nano Banana 2.1 ☀️GPT Image 2.5 Sunburst ⚡Grok Imagine 2.0 What I find interesting is that they’re all working from essentially the same visual direction… but the results feel completely different. Some models give you cleaner symmetry. Some give you better skin texture. Some feel more photographic. Some feel more polished or “AI perfect.” And some just have that little bit of soul that makes the image feel like an actual fashion photograph. 📸 For me, this is why learning AI image creation isn’t just about finding the best model. It’s about understanding which model is best for the job. 🎯 When you’re creating professionally, those differences matter. 👇 Which one would you choose: 1, 2, 3, or 4? And don’t just tell me which one you like — tell me why. Skin? Eyes? Lighting? Composition? Realism? Overall feeling? I’m curious to see if we all pick the same one. 😂

New in the classroom! 🎬 I let Astra edit a showreel in DaVinci Resolve. Watch the 3-minute walkthrough, then try it with your own footage. Drop your results below! 👇 https://www.skool.com/aicreativestudio/classroom/43594c4e?md=e0dc73407b184f7f82dc4f81357f39a0