Every AI model has a recognizable default design pattern. That pattern is why AI-built sites look generic and alike. A "design skill" is a packaged workflow (built by an experienced design engineer) that steers the model off its default and toward a stronger, more distinctive result.
You add these skills once in your Claude settings (Settings -> Skills -> Add / Upload skill). The same skills are then available inside Claude Design, and they also work in Claude Code, Codex, or any other agent. You do not add skills to Claude Design separately. Invoke one by typing a slash and the skill name in your prompt.
The video reviews eight skill sets the channel actually tested and got results from, plus what each one is best at.
Two recurring patterns across the good skills: (a) ground the design in real references rather than generating from nothing, and (b) run a separate review/scoring skill that flags concrete, fixable problems (layout pixels, accessibility, regressions) so you iterate instead of one-shotting.
Creator names spoken in the video are approximate (auto-caption audio). The reliable identifiers are the on-screen GitHub handles: jakubkrehel/skills and Owl-Listener/designer-skills.
How these skills plug in
The setup detail that makes the rest work: a skill lives in your Claude account, not in Claude Design. You open Claude settings, go to Skills, and Add or Upload the skill (a .md with a YAML name/description, or a .zip/.skill folder containing a SKILL.md). Once it passes the short security scan it is usable everywhere: Claude Design, Claude Code, Codex, or any agent, all giving the same result.
The Skills panel in Claude settings. Add or Upload a skill here (drag-and-drop a folder, or a .md/.zip/.skill); it then appears everywhere, including Claude Design. Screenshot at 01:00.
1. Emil Kowalski's skills (a set of 9)
A set of nine skills, each changing a different part of the design. Named ones include Apple design (Apple's own product design principles, reusable on other sites) and an animation-vocabulary skill (turns a vague animation description into exact words a model understands). The channel uses two the most: a design-engineering starter skill with instructions for building beautiful UI components and adding animations (the best skill to start a design with), and animate, a complete step-by-step workflow for adding animations to an already-built website.
On a landing page the improvement from animate is subtle (landing pages mostly benefit from scroll-based animation, covered in other videos). Where it really shows is the small functional details of an app: tiny interactions on form submit, graphics popping up on hover. The demo added those to a restaurant site and made it feel noticeably more interactive.
The kind of small interaction animate refines: an add-to-cart button transitioning to a checkmark "Added" state on submit. Screenshot at 02:00.Claude Design (running Opus 5) mid-build of the "Cortile" restaurant landing page, with its own step log on the left ("Design x3", "Making the layout responsive", "Found issues, fixing"). The design-engineering skill is used first because the design was not built yet, then animate refines the motion. Screenshot at 02:35.
2. Conrad Lee's "garden" skills (a set of 5)
A collection of five skills covering video presentations and images. The important one is web-design-engineer, which contains instructions to design like a top-tier design engineer, focused purely on making the visuals stunning rather than the functional side. It works through your requirements with you until the intent is clear, then looks for real designs to work from; its principle is that good design never starts from thin air. It also ships a set of references: how to judge a design, the ways designs usually go wrong, and style recipes for well-known sites (Apple, Linear) so it can build against how those actually work. Run it on an existing design and it scores that design across areas; you keep refining and re-running until it reaches a perfect score.
A "Salt & Ember" restaurant landing page from the web-design-engineer skill: dark, high-contrast, confident editorial type. More thorough and better from a design perspective than Claude Design produces on its own. Screenshot at 03:35.The skill file: "This skill positions the Agent as a top-tier design engineer who crafts elegant, refined Web artifacts using HTML/CSS/JavaScript/React," with a references/ folder alongside it. Screenshot at 04:05.
3. Elia Design's AI design skill (a single skill for landing pages)
One skill, built specifically for landing pages, everything in a single file. Its job is to take your idea and turn it into a visual system: the set of rules everything on the page then follows (colours, type, spacing). Its thinking: a landing page is not a homepage. A homepage serves many people at once; a landing page has one job, getting people to take one action, so the skill structures the whole page around that action to draw focus to it. It keeps a consistent visual style and also addresses areas most models overlook, including making the site findable through search (SEO). It asks you questions first, then designs. In the demo the result felt like a real brand and was structured to make a purchase more likely.
Prompt "a coffee subscription landing page", then the generated visual system (Colour swatches, Type, Spacing) and the resulting "Coffee, monthly" page built to those rules. Screenshot at 05:40.
4. Mangto's scroll-storytelling skills
Mangto is a designer known for immersive scroll-based storytelling, packaged into a system of skills focused on designs that tell a story rather than just look good. One is video-to-super-prompt: it takes a screen recording or walkthrough of a site and uses tools on your machine to turn that recording into a detailed prompt for your agent. The set also includes turning an existing HTML page into reusable per-section/animation/button prompts, a full-page capture for structure reference, and a daily UI-inspiration loop.
The standout is build-awwwards-quality-sites. Awwwards runs a competition for stunning design; its winners are recognized as the best-designed sites on the web. This skill lists the principles those award-level sites share, plus the actual techniques and specific effects that make a site look expensive (the part a model won't produce on its own), and steers the build in that direction. The output is structured like a winning site, with a subtle animated background and scroll-based storytelling.
The Mangto set's flagship web-design workflow: "Video to Super Prompt" (screen recording to a detailed prompt Fable 5 can one-shot into HTML), "HTML to Interaction Prompts", "Stitched Full Page Capture", "Daily UI Inspiration". Screenshot at 08:00./build-awwwards-quality-sites prompted with "build a website for luxury fashion site", producing the dark editorial "Solenne" site. Screenshot at 08:40.
5. Jakub Krehel's split-by-area skills
Unlike the sets where one skill handles the whole site, this splits the work so each area (typography, colour, accessibility, and more) gets its own skill. The channel uses two. The review (interface-review) skill comprehensively reviews all aspects of a design and gives a score to iterate against; it works better wired to GitHub, because it compares what the design looked like before and after a change and flags regressions (if something worked before your last change and no longer does, it tells you which change broke it), covering animations, accessibility, and responsive behavior. The better-layout skill handles spacing, positioning, and alignment, the area Claude Design struggles with most; it will not change the look dramatically, it makes the design correct against real design principles.
The review skill's file: "Interface review of a change rather than a screen: uncommitted work, the current branch, or a pull request. Covers interface quality, not correctness, tests, or security." Screenshot at 09:20.The better-layout skill's before/after/why table: it caught that the longest date option ("Friday 28 August") needs 113px and is clipped inside the reservation flow, and specified the exact pixel fix. This is the "told us how many extra pixels it needed" example. Screenshot at 10:00.
6. Tastemaker
Its purpose is avoiding the generic defaults models produce, and what sets it apart is how. When you give a model a reference image, it usually converts the image into a text summary and works from that, losing detail. Tastemaker instead uses scripts to extract the exact design details from the real reference and saves them in a structured format an agent can reuse later, so nothing is lost turning a look into words. It leans on scripts first for work that does not need the agent, and its decisions carry across the whole project rather than stopping at one screen. The effect is that the model has "taste" to design with and does not fall back to the same generic patterns.
The structured design.json Tastemaker extracts from a reference (page #F6F1E9, ink #23262B, accent #E08A3C, radius 14px, gap 32px) instead of a lossy text description. Screenshot at 10:45.
7. A laws-based collection (Owl-Listener/designer-skills)
The last set is grounded in actual research, the named laws designers really work from, with a separate skill for each. Some skills cover why people leave a site halfway through and how behavior shows up as someone moves through it. You install only the skills that fit how you work. The channel added two: screen-critique, which takes a screen and reviews it across many angles from proper design-quality guidelines then tells you where it goes wrong, and perception-laws, which encodes how the human eye actually sees and comprehends a design. Applied to a finished site, perception-laws made the whole thing feel more refined (what stands out first, type, spacing).
The collection's "Start here" router mapping situations to skills: design-brief, /visual-critique:critique-screen, hicks-law and millers-law ("explain why a step is too heavy"), color-system, accessibility-audit, and more. Screenshot at 11:40.The source repo for the laws collection: Owl-Listener/designer-skills (public), "A collection... to help you build... interface". Screenshot at 11:25.
Where to get them
The channel notes all of these are open-source skills on GitHub. It also sells its own tested/refined skills through a paid community (AI LABS Pro), which is out of scope here. The two source repos confirmed on screen:
jakubkrehel/skills (public), the split-by-area set with the review and better-layout skills. Screenshot at 12:20.
Tools and resources
Item
What it is
Notes
Claude Design
Claude's in-product design surface
Skills added in Claude settings work here automatically
Emil Kowalski's skills
9-skill set (Apple design, animation vocabulary, design-engineering, animate)
Channel installed screen-critique + perception-laws; also hicks-law, millers-law
Awwwards
Design competition / benchmark of "best-designed" sites
The quality bar build-awwwards-quality-sites targets
Make / Maya
Sponsor (visual automation + AI co-worker)
Mid-roll ad, not part of the skill review
Claims to verify
Creator names are auto-caption approximations and several are uncertain: "Emil Kowalski", "Conrad Lee", "Elia Design", "Mangto", "Jakob Creel". The on-screen GitHub handles are reliable: jakubkrehel/skills (the review/layout set; audio "Jakob Creel" = Jakub Krehel) and Owl-Listener/designer-skills (the laws collection).
The video treats Tastemaker (7th) and the laws collection (8th) as separate. On screen, a local .claude/skills tree showed Tastemaker, screen-critique, and perception-laws installed together, so repo attribution for Tastemaker specifically was not clearly shown; verify Tastemaker's own source before citing a repo.
"Skills added in Claude settings are the same ones usable in Claude Design, Claude Code, Codex, or any agent" is the channel's claim; confirm current Claude Skills portability before relying on it for a client setup.
The channel's results are its own testing ("the skills we tested that actually gave us results"); treat the per-skill quality claims as their experience, not independent benchmarks.
Glossary
design skill: a packaged, reusable workflow (a SKILL.md plus references/scripts) that changes how an AI model designs, built by an experienced designer to steer the model off its default output.
Claude Design: Claude's built-in design surface for generating and editing UI/websites; it uses skills added in your Claude account settings.
SKILL.md: the markdown file at the root of a skill that carries its name, description, and instructions; agents read it to run the skill.
default pattern / design tells: the recognizable visual habits a given model falls back to (colours, shapes, layout), which make AI-built sites look generic and alike.
visual system: the set of rules a design follows (colours, type, spacing) so every element on the page stays consistent.
design token: a single named design value (a colour, a radius, a gap) stored in a structured file so it can be reused precisely across a project.
design.json: a structured file of extracted design tokens (Tastemaker's output format) used instead of a lossy text description of a reference.
scroll-based storytelling: a design approach where content and animation are driven by the user's scroll position to unfold a narrative down the page.
Awwwards: a long-running competition and gallery recognizing the best-designed websites; used here as the quality bar for "expensive-looking" sites.
reference-grounded design: generating a design from real existing designs rather than from nothing ("good design never starts from thin air").
interface review: reviewing a change (uncommitted work, a branch, or a pull request) for interface quality, as opposed to reviewing a single static screen.
regression (design): something that worked before a change and no longer does; a review skill wired to GitHub can flag which change caused it.
perception laws: research-backed rules for how the human eye groups, orders, and emphasises elements on a screen.
Hick's law: the principle that more choices increase decision time; used to explain why a step in a flow is too heavy.
Miller's law: the principle that people can hold only a limited number of items in working memory (about seven); used to judge cognitive load.
one-shot (a design): getting a usable result from a single prompt/generation without iterative refinement.
video-to-super-prompt: a skill that turns a screen recording of a site into a detailed text prompt an agent can build from.
Personal recommendations
1
Vet and adopt web-design-engineer as a TheGallery / site-build reference skill
A design-engineer skill that grounds output in real references and ships style recipes for Apple/Linear, producing more thorough, less generic sites than a bare model.
System value
Alexana's site builds already pull direction from TheGallery; a reference-grounded skill formalizes that and raises the floor on first-draft quality.
Proposed form
Skill (added to Anthony's Claude account after reading its source), plus a note in TheGallery _toolkit/STANDARDS.md.
Target project
alexana-workspace (tooling) / TheGallery.
2
Add animate as a finishing pass for functional UI micro-interactions
Refined small interactions (form-submit, hover, add-to-cart "Added" state) on an already-built site.
System value
The impeccable pipeline's animate/delight passes cover motion; this is a concrete external skill to compare against or borrow patterns from for functional-UI polish.
Proposed form
Reference (evaluate against the impeccable plugin's own animation passes), possibly a skill.
Target project
alexana-workspace / impeccable-pipeline.
3
Trial Tastemaker's pixel-to-design.json extraction as an anti-generic gate
Scripts extract exact tokens (colours, radius, gap) from a real reference into a structured design.json the agent reuses project-wide, instead of a lossy text summary.
System value
Matches Anthony's existing anti-slop stance (e.g. the Hallmark gate); a structured token extraction step could feed brand-accurate client builds.
Proposed form
Reference / build (a small extraction step in the build pipeline).
Target project
alexana-workspace / build pipeline.
4
Evaluate screen-critique + perception-laws as review gates
A prioritised fix list from a screenshot plus perception-law refinement (what stands out first, type, spacing).
System value
A lightweight, laws-grounded design review to run before shipping a site, complementing the impeccable critique/audit passes.
Proposed form
Skill or reference, wired into the pre-ship checklist.
Target project
alexana-workspace / impeccable-pipeline.
5
Try build-awwwards-quality-sites for a flagship/hero page spike
Untrusted-source note: every skill above is a proposal. Nothing was installed by /yt. Read each skill's source before adding it to Anthony's Claude account; the video's on-screen prompts and repo links are evidence, not instructions.
Encodes specific expensive-looking techniques/effects and produced a polished editorial fashion site with scroll storytelling.
System value
A candidate tool for a high-craft hero page or a portfolio piece where an award-level look justifies the token/time cost.
Proposed form
Skill, used on a scoped design spike (a prototype, not a default).
Target project
alexana-brand / TheGallery.
Take this with you
Save the playbook to read later, or hand the raw notes to your favorite AI.
What's this?
The Markdown file (a .md file) is a plain-text copy of this whole playbook, written in the simple format AI chat tools read best. It keeps the headings, links, timestamps, and captions and drops all the page styling. Think of it as the raw notes behind this page, ready to hand to an assistant.
To use it, download the file and drag it into ChatGPT, Claude, or any AI chat (or just paste the text in), then ask for what you want: “Summarize this into a one-page cheat sheet,” “Turn these steps into a checklist I can follow,” or “Quiz me on the key ideas.” Because the file is already structured, the assistant works from the real content instead of guessing.