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SwiftUI Design Skill

SwiftUI frontend design governance with anti-AI-slop rules, brand asset protocols, and five-dimension review for iOS interfaces.

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What swiftui-design-skill Does

SwiftUI Design Skill is a comprehensive design framework for building high-quality iOS and macOS interfaces using Apple’s SwiftUI declarative programming language. It combines anti-AI-slop principles with professional design governance, offering six core principles, design direction advisory, brand asset protocols, and a five-dimensional review system. This skill is essential for product designers and design-focused developers who want to leverage AI agents (Claude Code, Cursor, Codex, OpenCode) to create polished, brand-consistent user interfaces without compromising design quality.

The skill addresses a critical gap in AI-assisted design workflows: maintaining design integrity while accelerating development. It provides structured guidelines that help AI agents generate SwiftUI code that adheres to design best practices, accessibility standards, and brand guidelines. Whether you’re building a startup MVP or refining an enterprise application, this skill ensures your interfaces meet professional design standards.

How to Install

  1. Clone the Repository

    git clone https://github.com/wholiver/swiftui-design-skill.git
cd swiftui-design-skill

  2. Choose Your AI Agent Integration

    • Claude Code: Import the skill configuration files into your Claude Code environment
    • Cursor: Add the skill to your Cursor project settings under Extensions
    • Codex/OpenCode: Copy the guidelines markdown files to your project root

  3. Import Design Guidelines

    • Copy the design-principles.md file to your project documentation
    • Add the brand-assets.protocol file to your design system folder
    • Include the five-dimensional-review.md checklist in your PR templates

  4. Configure AI Agent Prompts

    • Use the provided system prompts from the repository when initializing your AI agent
    • Customize the brand asset protocols with your specific color palettes, typography, and component library
    • Set up the five-dimensional review system as a validation layer in your workflow

  5. Verify Integration

    • Test the skill by generating a simple SwiftUI view with your AI agent
    • Check that generated code follows the six core principles
    • Run the five-dimensional review on the output

Use Cases

  • Rapid MVP Development: Use the skill to generate SwiftUI interfaces for startup prototypes while maintaining professional design standards, reducing hand-coding time by 40-60% without sacrificing quality
  • Design System Implementation: Leverage the skill to enforce brand consistency across multiple features and screens by having AI agents generate components that automatically comply with your design system and brand asset protocols
  • Accessibility-First Development: Apply the five-dimensional review system to ensure generated interfaces meet WCAG compliance, proper color contrast, and semantic accessibility requirements before QA
  • Cross-Platform App Scaling: Use the skill when scaling iOS apps to macOS versions, ensuring the AI agent maintains design consistency while adapting layouts for larger screens
  • Design Governance Automation: Implement the six iron principles as automated checks in your CI/CD pipeline, preventing anti-patterns from reaching production code reviews

How It Works

SwiftUI Design Skill operates on a multi-layered governance model designed to guide AI agents toward producing production-ready interface code. At its foundation are the “six iron principles” that define what constitutes quality SwiftUI design: these principles reject common AI-generated mediocrity (slop) by establishing non-negotiable standards for layout logic, component reusability, performance considerations, and user experience consistency.

The skill’s design direction advisor component contextualizes these principles for your specific product. Rather than generic guidelines, it learns your target audience, use cases, and design philosophy, then feeds this context to your AI agent before it generates code. The brand asset protocol layer ensures that every generated SwiftUI view uses your approved color palette, typography scale, spacing system, and reusable component library—preventing drift from your visual identity. This is implemented through structured data files that your AI agent can reference, similar to how design tokens work in modern design systems.

The five-dimensional review system provides a comprehensive evaluation framework: visual fidelity (does it match the design mockup?), accessibility compliance (WCAG standards, color contrast, hit targets), performance efficiency (view hierarchy complexity, rendering optimization), code maintainability (clarity, reusability, Swift conventions), and brand consistency (adherence to design system). After your AI agent generates SwiftUI code, you run this five-point checklist—either manually or as an automated validation layer—to catch issues before they enter your codebase. This prevents the common AI workflow pitfall of shipping code that works but creates technical debt or design inconsistency.

Frequently asked questions

What does 'anti-AI slop' mean in the context of this skill?
AI slop refers to mediocre, generic output that technically works but lacks polish, violates design principles, or creates technical debt. The six iron principles explicitly reject common shortcuts that AI agents take: hardcoded values instead of design tokens, shallow component hierarchies, accessibility shortcuts, inconsistent spacing, poor performance optimization, and non-idiomatic Swift code. This skill teaches AI agents to produce premium-quality interfaces.
Can I use this skill with AI agents other than Claude Code?
Yes. The skill supports Claude Code, Cursor, Codex, and OpenCode. While the specific integration method varies by platform, the core guidelines, principles, and review checklists are platform-agnostic. You may need to translate the guidelines into platform-specific prompt formats, but the design philosophy remains consistent.
How do I integrate my existing brand system with this skill?
The brand asset protocol file is designed for customization. Export your design tokens (colors, typography, spacing scales) from your design tool (Figma, Sketch, etc.) and format them according to the protocol specification. Then provide this customized protocol file to your AI agent before code generation. This ensures all generated SwiftUI views automatically use your approved brand assets.
What is the five-dimensional review system?
It's a five-point evaluation framework for SwiftUI code quality: (1) Visual Fidelity—matches design specifications, (2) Accessibility—meets WCAG standards and semantic requirements, (3) Performance—optimizes view hierarchy and rendering, (4) Maintainability—clear code structure and Swift idioms, (5) Brand Consistency—adheres to design system tokens. Use this checklist to review AI-generated code.
Does this skill replace my design tools like Figma?
No. The skill complements your design tools. You still create mockups and design systems in Figma or similar tools. The skill helps your AI agent translate those designs into production-ready SwiftUI code while maintaining the design integrity. It's a bridge layer between design and development.
How much faster is development with this skill?
Typical speedups are 40-60% for UI development tasks, assuming you've properly configured the brand assets and design direction. The actual improvement depends on code complexity and how well your design system is structured. Complex interactions may show less improvement than straightforward CRUD interfaces.
Can this skill work for Android/Jetpack Compose or is it iOS-only?
The current skill is SwiftUI-focused (iOS/macOS). However, the principles and governance framework (six principles, five-dimensional review) are cross-platform. Community contributions have adapted similar frameworks for Jetpack Compose and Flutter, so you could extend this approach to other platforms.
What if my AI agent generates code that fails the five-dimensional review?
Feed the review feedback back to your AI agent with specific improvement requests. For example: 'The component failed accessibility review due to insufficient color contrast. Please adjust the secondary color to meet WCAG AA standards.' Most modern AI agents can iterate based on this feedback and produce compliant code in the second attempt.

Glossary

SwiftUI
Apple's declarative framework for building user interfaces across iOS, macOS, watchOS, and tvOS using Swift code. Unlike UIKit's imperative approach, SwiftUI uses a declarative syntax where you describe what the UI should look like rather than how to build it step-by-step.
Design Tokens
Reusable design values (colors, typography, spacing, shadows) stored as variables that maintain visual consistency across an application. When you change a token value, all UI elements using that token automatically update.
Brand Asset Protocol
A structured specification file that defines approved design system elements (color palette, typography scale, component library, spacing rules) that AI agents must reference when generating code. Ensures generated interfaces remain on-brand.
Five-Dimensional Review
A quality assurance framework evaluating SwiftUI code across five dimensions: visual fidelity, accessibility compliance, performance efficiency, code maintainability, and brand consistency. Used as a checkpoint before merging AI-generated code.
View Hierarchy
The nested structure of SwiftUI views. A shallow hierarchy with fewer nested layers performs better and is easier to maintain than a deeply nested structure. AI agents sometimes create unnecessarily complex hierarchies.

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