awesome-design-md

Generate brand-specific DESIGN.md files with full design tokens for frontend generation.

Updated Mar 24, 2026
One-click install
npx skills add https://github.com/Oruga420/claude-code-skills --skill awesome-design-md-oruga420
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: awesome-design-md
Source: https://github.com/Oruga420/claude-code-skills/tree/main/awesome-design-md
Command: npx skills add https://github.com/Oruga420/claude-code-skills --skill awesome-design-md-oruga420

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Many AI-driven frontend builds produce generic or inconsistent UIs because designers and models lack precise, brand-specific design tokens. This Skill supplies a curated library of ready-to-use DESIGN.md files that codify colors, typography, spacing, components, shadows, animations, and responsive rules so Claude can generate UIs that match a target brand's visual language.

Core Features & Use Cases

  • Comprehensive design system files for 58 real brands (examples: Vercel, Stripe, Linear, Apple, Spotify, Airbnb, BMW, Coinbase), each documenting theme, color roles, typography, spacing, shadows, components, motion, and breakpoints.
  • Operational rules and do/don't lists that instruct the agent to use exact hex values, specified fonts, spacing scales, and single-brand constraints for pixel-accurate output.
  • Integration guidance for pairing with frontend-design and theme-factory workflows: use a DESIGN.md as the authoritative spec, then generate themed CSS, components, or slide decks consistent with the brand.
  • Use cases: generate landing pages and dashboards that match a brand, produce component libraries or themes from a DESIGN.md, restyle mockups to match a brand identity, and create presentation slides with brand-consistent visuals.

Quick Start

Read the appropriate design-md/{brand}.md file (for example design-md/vercel.md) and tell Claude to "build a landing page that exactly follows this DESIGN.md's palette, typography, spacing, and component rules".

Frequently Asked Questions about awesome-design-md

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

FAQPage Schema
How do I generate brand-accurate frontend UIs using AI without getting generic results?▼

To generate brand-accurate frontend UIs, you need precise design tokens like exact hex values, typography, and spacing. Using a DESIGN.md file codifies these brand-specific rules to guide AI models for pixel-accurate output.

What are brand design tokens and how do they guide AI-driven UI generation?▼

Brand design tokens are documented variables for colors, typography, spacing, shadows, and animations. They instruct AI agents to use exact hex values and font recommendations, ensuring the generated UI matches a target brand's visual language.

How do I apply a specific brand's design system when building a landing page with AI?▼

To apply a brand's design system, read the corresponding DESIGN.md file and instruct your AI to build the landing page exactly following its palette, typography, spacing, and component rules for consistent results.

Can I extract and apply design themes for real brands like Stripe or Vercel in my frontend workflow?▼

Yes, you can apply design themes for real brands like Stripe or Vercel by using a curated library of DESIGN.md files that document their specific color roles, typography, breakpoints, and motion rules for frontend generation.

Does this approach work with frontend-design and theme-factory workflows?▼

Yes, this approach integrates with frontend-design and theme-factory workflows by using a DESIGN.md as the authoritative spec to generate themed CSS, component libraries, or presentation slides consistent with the brand identity.

Why do AI-generated dashboards often look inconsistent and how can design rules fix this?▼

AI-generated dashboards look inconsistent due to a lack of precise, brand-specific design tokens. Supplying exact spacing scales, shadows, and responsive breakpoints in a design file forces the model to output pixel-accurate components.