Recreating Apple‑Style UI with the Open‑Source Skill Library (18.3K Stars)
The article introduces Emil Kowalski’s Apple‑design Skill, explains how it decomposes the hardest parts of the Apple Human Interface Guidelines into actionable rules, shows a quick npx installation, demonstrates responsive UI components, and highlights the library’s focus on precise feedback, physics‑based animation, and material depth.
Recently I discovered Emil Kowalski’s Apple‑design Skill on GitHub, which has already earned 18.3 K stars. Unlike simple UI templates that only copy rounded corners, blur, or light shadows, this project breaks down the most difficult Apple HIG elements—feedback, inertia, material, hierarchy, typography, and interruptible animation—into concrete, AI‑executable constraints such as actions, materials, fonts, gestures, and accessibility.
Quick Installation
npx skills add emilkowalski/skillThe command installs the skill in a single step, after which the author tested the result on a responsive layout.
Demo Results (Responsive Adaptation)
The generated UI includes a responsive homepage and detail page. Screenshots show a dark Apple‑style front page with a half‑dragged translucent sheet, a blurred background, and rounded cards, as well as corresponding responsive detail views.
Usage Guidelines
The skill can create pop‑ups, drawers, sheets, draggable cards, navigation transitions, translucent headers, list reveals, and subtle button micro‑interactions. It emphasizes properties such as easing, duration, transform, reduced‑motion, and pointer‑down feedback, while deliberately avoiding a blanket transition‑all that would add unnecessary animations.
Prompt Example for AI Generation
To generate a dark Apple‑style front‑end interface, the prompt suggests a half‑dragged translucent sheet over a blurred layer with rounded cards, annotated with
velocity handoff, interruptible spring, pressed feedback, material depth.
Open‑Source Repository
GitHub: https://github.com/emilkowalski/skillsThe author believes the most valuable aspect of this project is that it turns “more Apple‑like” into verifiable criteria—rapid feedback, interruptible motion, captured inertia, and layered material—making it far more rigorous than simply adopting a generic UI library.
I'm Peng Lei, continuously sharing AI‑assisted programming tips, and I invite readers to showcase their creations using this skill.
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Architect's Tech Stack
Java backend, microservices, distributed systems, containerized programming, and more.
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