Guide developers to refine AI-generated UI details
Small details like animation easing curves and shadow handling often determine the final quality of a screen, yet AI agents frequently miss them. This repository provides a set of rules based on experience from Vercel and Linear to help agents make correct design decisions. It is not a tool that modifies code directly; instead, it offers criteria for giving precise instructions to AI and reviewing the results.
Filling the gap in AI's lack of taste
AI agents often make subtle mistakes, such as applying ease-in incorrectly to animations or choosing a solid border instead of a semi-transparent shadow. When these small errors accumulate, the quality of the interface drops significantly. This repository explicitly lists the mistakes agents are likely to make and provides solutions for them. This allows developers to raise the quality of AI output to a trustworthy level.
Injecting domain expertise into AI
The author, Emil Kowalski, emphasizes that AI amplifies existing expertise rather than replacing it. Therefore, these skills are most effective when there is a deep understanding of the specific field. Users with basic knowledge of design or development will see a noticeable improvement in AI output quality when using this guide. It also serves an educational role by explaining 'why' certain choices should be made, going beyond simple code generation.
Key skill composition and scope
The repository is divided into individual skills covering various areas such as animation, design principles, and native app optimization.
- Animation optimization Includes skills for generating, reviewing, and finding opportunities to improve animations. It also supports
animate-expo, which is specialized for React Native and Expo environments. - Applying design principles Features
apple-design, which translates Apple's design principles for the web, andpick-ui-library, which helps select reliable UI libraries. - Mobile native experience Provides the
mobile-nativeskill to resolve issues occurring in mobile web, such as the 100vh bug, tab highlights, and safe areas.
Installation and application
Installation is completed with a single command: npx skills@latest add emilkowalski/skills. After installation, you simply instruct the AI agent to reference the skill. The repository consists of markdown files, so it is not dependent on any specific framework or language. It also includes guides for specific technology stacks, such as Swift coding style or how to use the Sonner toast library, which is useful for developers using those technologies.
A tool suited for experienced developers
This repository is better suited for people with a basic sense of design and development than for beginners who demand unconditional answers from AI. To fully enjoy the value of the skills, you must be able to critically review AI output and understand why a certain choice is correct. Additionally, these skills are not tightly coupled to specific versions of libraries or frameworks, so they can be used even if the technology stack changes. It is recommended for developers who want to use AI as a design partner rather than a simple code generator.