make-interfaces-feel-better — What is it?

This project enhances the design of user interfaces by teaching AI coding assistants to implement subtle design details.

⭐ 2,099 Stars 🍴 69 Forks Author: jakubkrehel
Source: README View on GitHub →

Why it matters

The project is gaining attention due to its focus on improving UI/UX through design engineering principles. It addresses the pain point of inconsistent UI/UX in AI-generated code and fills the gap by providing a structured approach to design. The unique technical choice is its integration with AI coding assistants, which is not common in UI/UX design tools.

Source: Synthesis of README and project traits

Core Features

Design Engineering Principles

The project covers a range of design principles such as text wrapping, border radius, icon animations, font smoothing, and shadows, which are implemented to enhance the user interface.

Source: README
AI Coding Assistant Integration

The skill is designed to be used with AI coding assistants like Claude Code and Codex, automatically applying design principles during UI component building and code reviews.

Source: README
Manual Invocation

Users can manually invoke the skill to apply design principles to specific UI components or animations.

Source: README

Architecture

The architecture is modular, with separate files for animations, performance, surfaces, and typography. The code is organized into a 'skills' directory, suggesting a pattern of encapsulation and separation of concerns. There are no explicit design patterns identified, and the data flow is not detailed due to the lack of dependency files.

Source: Code tree

Project Knowledge Graph

Knowledge graph: project (center) + core features (inner hexagons) + key dependencies (outer chips) Not enough information.Not enough inf… Design Engineering PrinciplesDesign Engineering… AI Coding Assistant IntegrationAI Coding Assistant… Manual Invocation make-interfaces-feel… Project Core feature Key dependency

Center: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.

Tech Stack

LanguageNot enough information.FrameworkNot enough information.
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Source: Dependency files + code tree

Quick Start

```bash npx skills add jakubkrehel/make-interfaces-feel-better ```
Source: README Installation/Quick Start

Use Cases

The project is for developers and UI/UX designers who want to improve the design of their applications. It is useful in scenarios where AI coding assistants are used to generate UI components, and when manual design adjustments are needed for specific UI elements or animations.

Source: README

Strengths & Limitations

Strengths

  • Strength 1: Provides a structured approach to UI/UX design for AI-generated code.
  • Strength 2: Enhances the user experience by implementing subtle design details.

Limitations

  • Limitation 1: Limited information on the technical stack and infrastructure.
  • Limitation 2: The project's effectiveness is dependent on the capabilities of the integrated AI coding assistants.
Source: Synthesis of README, code structure and dependencies

Latest Release

Not enough information.

Source: GitHub Releases

Verdict

This project is worth watching for teams or individuals aiming to integrate design principles into AI-generated code. It is particularly suitable for those working with AI coding assistants and seeking to enhance the UI/UX of their applications.

Frequently Asked Questions

What is make-interfaces-feel-better?

This project enhances the design of user interfaces by teaching AI coding assistants to implement subtle design details.

What are the main features of make-interfaces-feel-better?

make-interfaces-feel-better's core features include: Design Engineering Principles, AI Coding Assistant Integration, Manual Invocation.

Why is make-interfaces-feel-better trending?

The project is gaining attention due to its focus on improving UI/UX through design engineering principles.

What is make-interfaces-feel-better used for?

The project is for developers and UI/UX designers who want to improve the design of their applications.

Transparency Notice
This page is auto-generated by AI (a large language model) from the following public materials: GitHub README, code tree, dependency files and release notes. Analyzed at: 2026-06-22 18:30. Quality score: 85/100.

Data sources: README, GitHub API, dependency files