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stark

Route ambiguous UI/UX requests to platform-appropriate design skills.

23|1|Updated May 5, 2026
Search Tags:#security check#AI design routing#multi-platform UI#native idioms#design briefs#asset planning
One-click install
npx skills add https://github.com/f0d010c/stark --skill stark
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: stark
Source: https://github.com/f0d010c/stark/tree/main
Command: npx skills add https://github.com/f0d010c/stark --skill stark

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires scripts, references, references/ux-patterns, references/ui-patterns, references/web-bans, references/web-fonts, references/web-motion, and includes scripts (resource) and references (resource) and assets (resource) and references/ui-patterns (resource) and references/ux-patterns (resource) components.

What problem does it solve?

This Skill streamlines AI-driven UI/UX design by routing ambiguous or complex interface requests to specialized native and cross-platform skills, ensuring precise, high-quality outputs.

Core Features & Use Cases

  • Platform Routing: Automatically determines whether to generate web, Windows, Apple, Android, or cross-platform UI based on user prompts.
  • UX & UI Decision Making: Produces concise decisions briefs for user flow, interface states, and native idioms prior to code generation.
  • Design Consistency & Avoidance of Slop: Enforces platform-specific best practices, style bans, and native idioms, preventing AI "middle ground" or generic visual outputs.
  • Reference & Asset Planning: Guides extraction of structure from existing products and planning visual assets, including images and references.
  • Safety & Security: Checks scripts for malicious code, prompt injections, or data leaks, ensuring trustworthy outputs.
  • Comprehensive Context Handling: Handles multi-platform, design direction, and aesthetic choices with explicit questions, producing tailored, high-fidelity outputs.
  • Advanced Output: Supports detailed, production-grade outputs including tokens, XAML, SwiftUI, Compose, WinUI, and web patterns.

Quick Start

Use the stark skill to evaluate a UI request for a Windows app with Mica backdrop and produce the corresponding platform-specific design brief.

Frequently Asked Questions about stark

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I route AI UI/UX design requests to platform-appropriate interfaces?▼

Routing AI UI/UX design requests requires evaluating user prompts to determine whether to generate web, Windows, Apple, Android, or cross-platform UI, producing concise design briefs with native idioms prior to code generation.

Why does AI generated UI look generic and lack native platform idioms?▼

AI generated UI looks generic when it lacks platform-specific best practices and style bans. Enforcing native idioms and avoiding the visual middle ground ensures production-quality interfaces tailored to specific platforms.

Can I generate design briefs for both web and native platforms like SwiftUI and WinUI?▼

Yes, you can generate design briefs for web and native platforms. The system supports advanced output formats including XAML, SwiftUI, Compose, WinUI, and web patterns based on platform routing decisions.

How do I check scripts for malicious code and prompt injections during UI generation?▼

Checking scripts for malicious code involves scanning for prompt injections, data leaks, and security threats. This safety check ensures trustworthy outputs before finalizing the UI generation process.

What is the best way to plan visual assets for cross-platform UI design?▼

The best way to plan visual assets for cross-platform UI design is to guide the extraction of structure from existing products and plan images and references to ensure design consistency.

Does multi-platform UI design routing handle aesthetic choices and explicit context?▼

Yes, multi-platform UI design routing handles aesthetic choices and explicit context questions. It processes design direction comprehensively, producing tailored, high-fidelity outputs for complex interface requests.

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