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.