Insane Claude Design Skills You Need To Build Beautiful Websites

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Transcript

00:00:00Here's something that people get wrong.
00:00:01Models have gotten way better at design and we've seen them keep improving every day.
00:00:05But at some point, all those great designs start to look the same.
00:00:08So the real question is, what makes your design actually stand out?
00:00:12A lot of that comes down to the right prompts and instructions.
00:00:15And this is where skills come in because now the ones that actually work can be packaged
00:00:19into a reusable workflow you can share with anyone.
00:00:21So a lot of people have been building skills for design and some of the best ones come
00:00:25straight from the teams behind the tools.
00:00:27But not every skill out there is worth using and a lot of them don't really help with
00:00:31your design.
00:00:32Now for some context, we're a software company and this is our channel AI Labs and on this
00:00:37channel we show you how to optimize processes with AI just like how we've optimized our own.
00:00:41Before we dive into some of the more creative skills, let's start with one that forms the
00:00:46basis of many other design skills.
00:00:48Anthropik's front-end design skill is the one that shapes the design direction of your site
00:00:53and we've used it in our previous video too.
00:00:55After you've generated enough landing pages with AI, you start noticing a pattern where
00:01:00the sites are all different but somehow feel the same.
00:01:03That's because the model learned from a huge amount of data full of the same patterns.
00:01:07So whenever it has to make a design call, it reaches for the most common one.
00:01:11So the design keeps drifting toward the same safe generic choices no matter what the project
00:01:16actually is.
00:01:17And that's the exact problem this skill solves.
00:01:19It escapes those safe choices by forcing the model to commit to a real design direction before
00:01:24it writes anything.
00:01:25Instead of defaulting to the safe common look, it has to pick a direction and stay consistent
00:01:30with it.
00:01:30It even calls out the usual AI slop directly in its skill.md file which is basically the
00:01:36skill's instruction sheet so the model stops reaching for the same overused fonts and the
00:01:41purple gradients on white backgrounds.
00:01:42And that matters more than it sounds.
00:01:44Because when most models build a landing page, they're optimizing to be correct.
00:01:48But this skill pushes them to commit to a design direction instead.
00:01:52So we mainly reach for it on landing pages or portfolios where the design itself is part
00:01:56of the product since it gives the model a stronger point of view before it starts.
00:02:00To test it, we had it build a landing page and gave it our requirements.
00:02:03And it generated a site with none of the usual AI slop because it stuck to the design direction
00:02:08it committed to instead of drifting into the usual defaults.
00:02:11In AI lab's design system, we've got two skills, each made for a separate job.
00:02:15There's the functional skill which builds the UI people actually have to use, like dashboards.
00:02:20And then there's one for marketing UI.
00:02:22Inside the marketing one, the skill.md uses a prompt called "break the default".
00:02:27And that's basically Anthropic's front-end design skill.
00:02:29Just modified a bit.
00:02:31We modified it because the original's gotten a little outdated for the newer models.
00:02:35Opus 4.8 and Fable 5 both shipped with prompting guides that show how clods changed
00:02:40and how the instructions you give it need to change too.
00:02:42So we folded a version of that into our own design system.
00:02:45As we've already stated, the Anthropic design skill does not work well with functional UI.
00:02:50Once you're building actual products, the problem changes completely.
00:02:53You're not just trying to make something look good anymore.
00:02:55You're trying to build something that works as a product
00:02:58with a lot of components that all have to behave properly.
00:03:01This is where things shift from landing pages into real applications.
00:03:04For example, in AI Labs Pro, you can see that the landing page has a much more artistic design
00:03:09language as opposed to the actual functional layer of the community which looks really boring
00:03:14and plain just like any other web interface you have ever interacted with.
00:03:18And that's where ShadCN comes in.
00:03:20Now models can absolutely build dashboards on their own.
00:03:23But every one of the components commonly used in dashboards already exists,
00:03:27built to a professional standard by actual people.
00:03:29So the model doesn't have to generate components from scratch and configure animations on its own.
00:03:34It can just pull the component that's already pre-built in the registry,
00:03:38which is basically a big library of ready-made components.
00:03:41That's the whole point of ShadCN.
00:03:43Instead of the model hand-building each component,
00:03:46it just pulls from that library of parts that are already professional-grade and uses them in your app.
00:03:51And that's why the result feels like a real product.
00:03:53Because you're not starting from a rough first draft and slowly fixing it up.
00:03:57You're starting from parts that were already built to ship.
00:03:59The ShadCN setup has two parts that work together.
00:04:02The first one is the skill.
00:04:03Think of it as a rulebook.
00:04:05ShadCN has a specific, correct way of building things and the skill holds all of those rules.
00:04:10On top of that, it looks at how your own project is set up.
00:04:12So when you ask the model to build something,
00:04:15the skill makes sure the result follows ShadCN's rules and fits the way your project already works.
00:04:20The benefit is simple.
00:04:21You get clean output the first time instead of having to go back and fix the same mistakes over and over.
00:04:26The second is the ShadCN MCP.
00:04:29It's basically a live connection to ShadCN's registry
00:04:32that lets the model browse and pull real components straight into your project.
00:04:36Now you might think,
00:04:37why use the skill if the MCP already exists and gives you the components you need?
00:04:41The answer is that the skill only loads when it's actually needed,
00:04:44instead of being in the context window all the time like MCP does.
00:04:48The ShadCN skill gives the coding agent the rules,
00:04:50patterns and the context about your project.
00:04:53Together, those give it the judgement to use components correctly.
00:04:56With a normal app, you build it up one component at a time and that approach works well.
00:05:00So you might expect it to carry straight over to a dashboard.
00:05:03And it partly does.
00:05:04But dashboards have a different core problem than normal apps.
00:05:07It's less about keeping components consistent and more about how all the information is arranged
00:05:12on the screen.
00:05:12That means working out how to group the data and how much can live on one screen before it gets too cluttered.
00:05:17So there's a separate skill named dashboard made just for that.
00:05:21Not by ShadCN, but by another developer.
00:05:23And it focuses the model on exactly that arrangement.
00:05:26And because it reasons through that arrangement first, the result actually feels like a real
00:05:30analytics tool instead of being cluttered.
00:05:33UIUX Pro Max works differently from everything so far.
00:05:36Most skills hand the model some design principles and trust it to apply them.
00:05:40But this one runs an actual engine first.
00:05:43The problem it's built around is that even with good direction and a solid set of components,
00:05:47the model still has to decide what kind of design choices fit your product.
00:05:51Most skills treat design as one general idea of good.
00:05:54So everything drifts toward the same look no matter what you're building.
00:05:58And that's the gap this skill closes.
00:06:00When you ask it to build something, it doesn't jump straight to code.
00:06:03It runs an engine first.
00:06:04Behind the scenes, this engine fires off five searches at once across its own open source
00:06:09database on GitHub.
00:06:11It pulls the styles that fit your product from 161 industry categories.
00:06:15And out of those choices, it picks a color palette, a font pairing, and a page layout that actually
00:06:20suits the industry you're building for.
00:06:22Then it filters out anything that would look wrong for that kind of product and hands the
00:06:26model a tailored design system, which is basically the complete rule book the model follows to
00:06:31build the website.
00:06:32So you get a genuinely strong website where it matches every design attribute to your website idea.
00:06:37Instead of the model inventing a design and hoping it works, it's building from
00:06:41one that was actually reasoned out for your exact use case.
00:06:44This skill is really different from the others.
00:06:46The others give the model better taste, while this one gives it a decision before it starts,
00:06:50tuned to the kind of product you're actually making.
00:06:53But before we move forward, let's have a word by our sponsor, SciSpace.
00:06:56If you do any kind of research, you've probably used ChatGPT for it.
00:07:00The problem is, it confidently makes up citations and papers that don't even exist,
00:07:04and you usually don't catch it until that fake citation is already sitting in your paper.
00:07:08SciSpace fixes that, and now it lives right inside ChatGPT.
00:07:12To test it, I opened SciSpace, navigated to my profile, and selected ChatGPT app from there to
00:07:17connect SciSpace.
00:07:18I asked for a literature review, and ChatGPT pulled relevant studies from SciSpace's library of over 280
00:07:24million real papers.
00:07:25It also summarized them and gave me real clickable citations instead of hallucinating.
00:07:30And every citation links straight back to the source.
00:07:33So you can open the paper and check the exact line yourself in one click.
00:07:37In head-to-head tests, it even surfaced more relevant papers than tools like Elicit and ConsenSys.
00:07:42So if you're a student or researcher, connect the SciSpace app inside ChatGPT using the first link
00:07:48in the description and start getting research you can finally trust.
00:07:52So far, everything we've added makes the site look right while it's sitting still.
00:07:56But a static page only gets you so far.
00:07:58Animations are actually important because they improve the user experience and they bump up how long
00:08:04people stay on the website. But the problem is, animation is where AI-generated code falls apart.
00:08:09The actual problem is that when you ask a model to add animation, it almost always does the exact
00:08:15same thing where things slide into view as you scroll down the page. That one scroll reveal is basically
00:08:20the only move it knows. But it's also the same animation on half the AI-built sites out there,
00:08:25and it's nowhere near what real motion can do.
00:08:27This is where the GSAP skill comes in. GSAP is the animation library a lot of professional
00:08:32sites already run on, and this skill comes straight from the team that builds it. So instead of the
00:08:37model guessing how it works, it works from the correct patterns, and it covers everything from
00:08:42basic movement to the bigger animations that play as you scroll down a page. It also handles the
00:08:47performance side, which is the part most people underestimate. A big reason AI animations feel
00:08:52janky is that the model moves things by changing their size or position, and those changes force the
00:08:57browser to rebuild the whole page on every single frame. So the skill steers the model toward the
00:09:02kind of movement the browser can handle easily, and that one habit alone is what keeps the animation
00:09:07smooth. GSAP is at its best on landing pages and scroll-driven storytelling, where everything gets
00:09:12revealed like a story, so the important details land with the viewer, and that's what takes your
00:09:16website from a static page to a dynamic one. This is why in the AI Labs design system, we have explicitly
00:09:22mentioned in the marketing UI skill that whenever animations are required, it should use the GSAP
00:09:27skill to implement those animations on the landing pages. This next group of skills isn't for full
00:09:33systems. They're taste presets you drop in to push the model toward one specific look of your choice.
00:09:38First there's the minimalist UI one. It's the type of design where instead of cramming too much onto the
00:09:43page, you keep things simple and open. It's the one you reach for on newspapers or blog sites where you want the
00:09:49content to breathe instead of everything fighting for attention. On the complete opposite side there's
00:09:54the industrial brutalist UI skill which goes raw and heavy with that anti-corporate style. Then there's
00:09:59front-end UI UX, a general all-rounder for solid defaults when you don't want anything extreme. It's the
00:10:05safe pick for a product or a business landing page that just needs to look clean and professional. And then
00:10:10there's the premium front-end UI skill which makes sites look like those luxury fashion brand landing pages.
00:10:16So you don't stack all of these at once. Instead you pick the one that matches the vibe you're after
00:10:21and let it steer the design. So if you've already got a direction in your head, these are the fastest
00:10:25way to hand it straight to the model. By this point you can build a site that's structured well,
00:10:30moves nicely and has a real style. But professional-grade websites need more than just animations. For
00:10:36professional apps you need real image and video visuals. Models on their own mostly just grab stock
00:10:41images off the internet and most of the time they don't actually match what you need. Higgs field is
00:10:46what we use to skip that. It plugs image and video generation straight into your agent so you can ask
00:10:51for a hero image or a background clip right where you're working without ever leaving the terminal.
00:10:56And Higgs field isn't tied to one model. It's got most of the good image and video models so you're not
00:11:01stuck with the strengths of just one and you can use whichever one suits you. If you're doing video,
00:11:06Cdance is the one worth using since it's one of the best video generation models right now so you get
00:11:12real visuals instead of static text or grey placeholder boxes on your website. The previous
00:11:17skills were all for web. Now we're going to cover mobile skills where a lot of AI generated UI quietly
00:11:23falls apart for a simple reason. Models tend to treat a phone like a small website, taking the same web
00:11:29habits and shrinking them down. But mobile isn't a smaller web. It's its own thing with its own rules. The way
00:11:35people hold a phone where their thumb can actually reach, how navigation should work, it's all different
00:11:40and every platform has its own design language that the model usually doesn't follow properly. There
00:11:45are multiple skills to optimize mobile development too. The first is mobile app UI design, the principles
00:11:51layer. On its own, the model treats the rules of good mobile design pretty loosely but this skill
00:11:56bakes them in directly. That covers things like the thumb zone which keeps the main buttons where your
00:12:01thumb can actually reach along with consistent spacing and a clean limited set of font sizes instead of 10
00:12:06different ones. And these are basically the same rules behind popular apps like Airbnb, Duolingo,
00:12:11and Spotify. So the model ends up designing with that sense instead of guessing at it. The second is
00:12:16Material 3 which is basically the mobile version of what Shad CN did for the web. It gives the model
00:12:21Google's actual design system, the one behind most Android and Pixel apps. Google's design language has a real
00:12:27personality. It's bold and colorful with big rounded shapes and springy motion that sit at the more
00:12:33expressive end of mobile design. The skill brings the whole system of components and colors so you hand
00:12:38it one color and it builds a full matching theme. It even checks how closely your app follows Google's
00:12:43guidelines so the app you're building matches the design system exactly. But if you're building fully
00:12:48native on the iPhone, you can use the Swift UI skills. Apple's design sits at the opposite end from Google.
00:12:53Where material is bold and colorful, Apple is more restrained and it leans on that translucent,
00:12:58glassy look it now calls liquid glass. The skill pulls Apple's own documentation straight out of
00:13:04Xcode on your Mac and hands it to the model as the rules. So the model isn't guessing at what an Apple
00:13:09app should feel like, it's working from Apple's actual guidance. And instead of something that only
00:13:14looks roughly like an iPhone app, you actually get one that feels native. And if you're building for
00:13:18iPhone and Android at the same time, there's the official Expo skill. Expo is a framework for
00:13:23making one app that runs on both Android and iOS. So you're not building the same app twice. It covers
00:13:29everything you need for a real app that runs on both, from the navigation and styling to the platform
00:13:34features all in one place. So whether you're building for one platform or both at once, there's a skill
00:13:39that actually knows the territory. Now all the skills and workflows and everything else we build and
00:13:43show you in these videos can be found in AI Labs Pro, which is our community. That's where you'll
00:13:48get the resources, the starter packs and more along with a place to interact with a bunch of like-minded
00:13:53nerds, including our team. So if you found value in what we do and want to support the channel,
00:13:58this is the best way to do it. The link's in the description. That brings us to the end of this
00:14:02video. If you'd like to support the channel and help us keep making videos like this, you can do so by
00:14:07using the super thanks button below. As always, thank you for watching and I'll see you in the next one.

Key Takeaway

Achieving professional, non-generic AI design requires moving beyond raw prompting to utilizing domain-specific skills, pre-built component libraries like ShadCN, and targeted engines that enforce industry-standard design systems.

Highlights

  • Anthropic's front-end design skill forces models to commit to a specific design direction before code generation to avoid generic 'AI slop'.

  • ShadCN allows models to pull pre-built, professional-grade components from a registry rather than generating UI from scratch.

  • The UIUX Pro Max skill uses an engine to query a GitHub-based database of 161 industry categories to tailor color palettes, fonts, and layouts.

  • The GSAP animation skill prevents janky browser performance by steering models toward motion that relies on GPU-friendly properties.

  • Mobile design requires specialized skills like 'mobile app UI design' to account for touch ergonomics and platform-specific design languages.

  • Connecting the SciSpace app to ChatGPT provides access to over 280 million real papers with verifiable, clickable citations.

Timeline

Escaping Generic AI Design Patterns

  • AI design often drifts toward safe, repetitive visual patterns.
  • Anthropic's front-end design skill enforces a committed design direction prior to code output.
  • The skill specifically filters out overused AI tropes like purple gradients on white backgrounds.

Models typically prioritize being correct over being creative, leading to generic results based on common training data patterns. This specific skill forces the model to choose a visual direction and maintain consistency throughout the generation process. This approach is particularly effective for landing pages and portfolios where the aesthetic is part of the product identity.

Building Functional Applications with ShadCN

  • Functional UI requires professional-grade components rather than AI-generated code.
  • ShadCN acts as a component registry that provides pre-built, consistent UI parts.
  • The ShadCN skill and MCP integration allow models to pull and implement components that follow strict design rules.

Developing functional applications requires consistent behavior across many components, which necessitates using established libraries instead of hand-building from scratch. ShadCN provides a rulebook and a live connection to a library of parts, ensuring that the resulting interface mimics professional software development standards. A secondary 'dashboard' skill is also employed to manage the complex data layout requirements specific to analytics tools.

Advanced Styling with UIUX Pro Max

  • The UIUX Pro Max skill runs an engine that searches a database of 161 industry categories.
  • Tailored design systems are generated based on the specific industry of the product.
  • SciSpace integration within ChatGPT provides verified research with over 280 million real papers.

To move beyond generic 'good' design, this skill uses a backend engine to perform five simultaneous searches on GitHub to determine appropriate aesthetics. By filtering style choices according to the specific industry, the model creates a tailored design system before writing any code. Additionally, SciSpace offers a solution for researchers needing reliable citations within AI conversations.

Professional Motion and Visuals

  • The GSAP skill implements professional animation patterns that avoid standard, janky scroll-reveal effects.
  • Performance issues are minimized by restricting model movement to browser-optimized properties.
  • Higgs field and Cdance integration provide direct access to high-quality image and video generation.

AI-generated animations often suffer from poor performance and repetitiveness. The GSAP skill, provided by the library's creators, ensures that movements are technically sound and efficient for browser rendering. For media, tools like Higgs field allow for the generation of specific assets directly within the terminal, replacing low-quality stock images.

Optimizing for Mobile Platforms

  • Mobile design requires adherence to touch-optimized principles and platform-specific languages.
  • Material 3 and Apple's Swift UI skills provide native-feeling components for Android and iOS respectively.
  • The Expo skill enables cross-platform development with unified navigation and styling.

Mobile interfaces are not simply shrunken web pages and require specific design logic, such as thumb-reach zones. Specialized skills for Google's Material 3 and Apple's native design languages allow models to build applications that feel authentic to each operating system. Using these skills results in UI that respects the ergonomics and design philosophy of mobile devices.

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