Claude's NEW Skills Update is INSANE! 🤯

Claude just got skills and it's literally changing everything. I'm talking about teaching AI your exact workflow once and never having to explain it again. This isn't some minor update. This is the shift from treating AI like a dumb assistant to having an actual employee who knows your systems. Companies are seeing 8x productivity gains with this. Box, Recruitant, Canva are already using it. And today I'm showing you exactly how to build your own skills from scratch. This video could literally save you hundreds of hours this year. Let's go. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every comment, so make sure you comment below. So, picture this. You're working with Claude. Every single time you ask it to do something, you have to explain your company's branding rules, your formatting style, your specific way of doing things over and over. It's like having an employee with memory loss. That's the old way, and it sucks. Now, imagine you teach Claude once, just once. You package up your methods, your rules, your scripts into something called a skill. And from that point forward, Claude just knows. It sees your request. It pulls up the right skill. It executes exactly how you want. No more explaining. That's what just dropped. Here's what's wild. This isn't Claude getting smarter at answering questions. This is Claude becoming modular. Think of skills like plugins for your brain. Each skill is a package. Inside that folder, you've got instructions, scripts, resource files, everything Claude needs to execute a specific task your way. Claude scans through its available skills. It figures out which ones are relevant. Then it only loads the minimal content it needs. It's efficient. It's fast. And it works across everything. Claude. ai, AI, Claude Code, the API, everywhere. But it gets better. Skills can include executable code. We're not just talking about text responses. We're talking automated scripting, file transformations, real tasks. This is crossing the line from chatbot to actual agent. Let me give you the business case. First, reduce prompting overhead. Claude already knows your workflows. Second, consistency. You capture your company standards into skills that everyone uses. Same branding, same formatting every time. Third, performance. Claude only loads what it needs. Way more efficient. Fourth, composability. Multiple skills can stack together. And fifth, enterprise control. Admins can enable or disable skills at the org level. Now, let's get technical. Every skill lives in a directory. That directory must contain a file called skylmd. This file has YAML front matter at the top. That's where you put the name and description. This metadata gets loaded universally. That's how Claude knows the skill exists. The full skill. mmd file only gets loaded when Claude decides the skill is relevant. Additional files like scripts or templates get loaded on demand. This is smart loading, not wasting tokens. Here's where design matters. Your skills need to be concise. Use utility scripts instead of embedding everything in text. Don't offer too many options. Provide verifiable intermediate outputs so Claude can check its work and test with real usage. Skills can have conflicts or errors. You got to work through that. Let me tell you about something that's going to help you scale all of this. I run a community called the AI profit boardroom. This is where entrepreneurs are using AI to get more customers and save hundreds of hours with automation. Real implementations, real workflows, real results. If you want to actually scale your business with this stuff, check out the AI profit boardroom. Link is in the description. All right, back to skills. Now, let me show you how to build one. Let's say you want Claude to always format your reports a specific way. You create a folder call it report formatter. Inside that folder you create skylmd. At the top you write your yaml front matter name is report formatter. Description is formats business reports according to company standards. Then below that you write out the exact rules. Use aerial font headers in bold. Executive summary first footer with date and author. If you need a script to convert a CSV to a formatted Excel file you include that script in the folder. You reference it in the skylmde. Now when you ask Claude to format a report, it scans its skills. It sees report formatter matches. It loads that skill. It follows your rules. Done. Exactly how you want it every single time. Now, let's talk about the risks. Skills can run executable code. That's powerful but dangerous. Claude runs this code in sandboxed environments, but you still need to vet the skills you use, check the code, make sure it's not doing anything sketchy. For enterprise users, the controls, of course. You can enable or disable skills at the org level, but you can't get granular per skill permissions yet. Another limitation is context. Skills only load minimal content. If your skill requires a ton of context, it might not get used. And conflicts are real. If you have multiple skills that match the same request, Claude might pick the wrong one. You need to make your skill descriptions specific. Also, not everyone has access yet. Skills are available for pro, max

team, and enterprise users. If you're on the free tier, you're not getting this. So, what does this mean for the future? This is a big step toward intelligent agents that actually understand organizational context. You're encoding your institutional knowledge into modular packages that AI can use. As this develops, you're going to see AI that doesn't just respond to requests. Artificial intelligence that proactively handles workflows, that coordinates across systems, that acts like a team member who knows the ropes. And here's what most people are missing. This isn't just about saving time. It's about consistency at scale. When your team uses the same skills, everyone's output matches. Your branding is consistent. Your processes are consistent. Your quality is consistent. That's about building a scalable operation. This scales, you're not just making one task faster. You're making your entire operation more consistent and more efficient. That compounds the ROI is massive. Now, here's what you need to do. First, identify your repetitive workflows. What are you explaining to AI over and over? Those are your skill candidates. Second, start simple. Build one basic skill, test it. Third, iterate. Your first skill won't be perfect. Update it. Fourth, share with your team. Get everyone using the same skills. Fifth, keep building. Cover more workflows. Automate more processes. Let me be real with you. This update is not getting the attention it deserves. People think, "Oh, cool. Another feature. " They don't realize this is a paradigm shift. We're moving from prompting AI to programming AI with workflows, with instructions, with your specific methods. The people who figure this out early are going to have a massive advantage. And if you want help with this, I've got something for you. It's called the AI money lab. It's completely free. Inside, you get 50 plus free AI tools, 200 plus chat GPT SEO prompts. You'll learn how to make money with AI agents. You get 1,000 plus free NATM workflows, a full blueprint to generate thousands of leads free with AI, plus a free AI community, free AI course, proven AI case studies, real implementations, not theory. If you want to turn AI into actual money, check out the AI money lab. Link is in the description. It's free. Also, join the AI profit boardroom. This is where entrepreneurs are using AI to get more customers and save hundreds of hours with automation. Real implementations, real workflows, real results. If you want to actually scale your business with this stuff, check out the AI profit boardroom. Make sure to go check it out. The bottom line is this. Skills are here. They work. Companies are seeing massive results. If you're not experimenting with this, you're already behind. The competitive advantage is real. The productivity gains are real. This is a fundamental shift in how we work with AI. You need to get on this now. So, go build your first skill. Test it, break it, fix it, build another one, share them with your team. The companies that do this first are going to dominate their markets. The ones that sleep on this are going to be playing catchup for years. That's it for this video. If you got value, smash that like button, subscribe if you haven't already, comment below, and let me know what skill you're going to build first. I read every single comment and I'll see you in the next