awesome-design-md: Give AI brand design rules for consistent UI generation
A brand DESIGN.md library for AI coding agents, bringing color, typography, and component rules into UI generation.
GitHub VoltAgent/awesome-design-md Updated 2026-09-04 Branch main Stars 112.8K Forks 12.8K
Markdown Google Stitch AI coding agents DESIGN.md UI design systems

🧭 Decision Guide

Try it if you

  • You generate web UI with Cursor, Claude, or Google Stitch and want fixed brand-visual rules
    The README's “What is DESIGN.md?” says AI coding agents or Google Stitch can read DESIGN.md directly; “How to Use” says to copy the file and tell the AI agent to use it
  • Your project needs a concrete reference for Vercel, Supabase, or Raycast styling
    The README's “Collection” lists Vercel, Supabase, and Raycast and describes their colors, typography, and interface styles
  • You want to maintain palettes, typography, component states, and responsive rules in Markdown
    The README's “What's Inside Each DESIGN.md” lists Color Palette, Typography, Component Stylings, and Responsive Behavior

Skip it if you

  • Your workflow accepts only Figma exports or JSON schemas and does not read Markdown
    The README's “What is DESIGN.md?” explicitly describes DESIGN.md as plain-text Markdown and says it needs no Figma exports or JSON schemas
  • You need a traditional software package with installation, execution, and release workflows
    Project metadata marks the stack as Mixed/Unknown and releases as 0; the README's “How to Use” only describes copying DESIGN.md
  • You need automated test coverage for the design rules
    The README's “What's Inside Each DESIGN.md” describes content sections and preview files but provides no testing or coverage information

Requirements

  • The README requires copying a site's DESIGN.md into the project root
  • The README says an AI coding agent or Google Stitch can understand DESIGN.md directly
  • The README describes DESIGN.md as plain-text Markdown requiring no Figma exports, JSON schemas, or special tooling

Watch out

  • Do not treat AGENTS.md as a visual specification; the README separates build instructions from DESIGN.md appearance rules
    The README's “What is DESIGN.md?” table says AGENTS.md defines how to build, while DESIGN.md defines how the project should look and feel
  • Copying DESIGN.md alone does not automatically generate a preview; the README lists preview.html as a separate visual-catalog file
    The README's “Each site includes” lists DESIGN.md, preview.html, and preview-dark.html as separate files
  • Brand rules differ substantially: Ollama uses a terminal-first monochrome style while Cohere uses vibrant gradients and a data-rich dashboard aesthetic
    The README's “Collection” entries describe Ollama as terminal-first monochrome and Cohere as vibrant gradients with a data-rich dashboard

Alternatives

  • Figma:Figma is a better fit when you already have a Figma component library, design files, and an export workflow
    General domain knowledge
  • AGENTS.md:AGENTS.md is more direct when you need to describe how an AI coding agent should build the project rather than how the interface should look
    README “What is DESIGN.md?”

Not stated in the README

  • The README does not specify the exact repository paths, download method, or individual file sizes for DESIGN.md files
  • The README does not define compatibility beyond Cursor, Claude, and Google Stitch
  • The README provides no automated tests, quality scores, or visual-regression results for DESIGN.md content
  • The README does not explain the design-analysis extraction process, human-review criteria, or update cadence
  • The README does not state whether each external getdesign.md page has separate license terms
  • The README does not explain differences when applying DESIGN.md to React, Vue, Next.js, or other frameworks
  • The README does not identify what the 4 contributors and 10 recent commits handled

💡 Deep Analysis

6
No I am building a local LLM tool interface with Ollama and want a terminal-first, monochrome visual language. Can this project directly provide runnable components, icons, and accessibility implementations for me?
For: A developer building a local LLM tool interface with Ollama who wants a terminal-first monochrome look without mistaking brand guidance for a component library

No, it should not be treated as a runnable component library. It can provide Ollama-inspired design constraints, but implementation remains your responsibility.

  • The collection describes Ollama as “Run LLMs locally. Terminal-first, monochrome simplicity,” which gives you a concrete visual baseline.
  • The README says each DESIGN.md defines semantic colors, typography, buttons, cards, inputs, navigation, and component states, so an agent can use it to generate UI guidance.
  • However, the deliverables are Markdown files plus HTML previews, not a code package. The project analysis explicitly says it does not generate code, sync Figma, or convert documents into CSS, Tailwind configuration, or component libraries.
  • Icons, keyboard behavior, contrast, focus handling, and local-model integration therefore remain outside the documented scope.
  • Collection / AI & LLM Platforms: Ollama - “Terminal-first, monochrome simplicity”
  • What's Inside Each DESIGN.md: Component Stylings includes buttons, cards, inputs, and navigation with states
  • Project insights / usage_limitations: it does not generate code, sync Figma, or convert documents into CSS, Tailwind configuration, or component libraries
Not stated in the README:The README does not say whether Ollama's DESIGN.md covers local-LLM states such as loading, streaming, errors, or long outputs;No icon library, accessibility acceptance rules, or runnable component implementation is documented
Yes I am using Google Stitch to rapidly generate SaaS pages and do not want to maintain Figma exports, JSON schemas, or extra tooling. Is placing a DESIGN.md from this project in the project root enough for the agent to consistently follow color, typography, and responsive rules?
For: An indie developer using Google Stitch to generate SaaS pages who wants to keep visual constraints as plain text in the project root

Yes, this is a good fit because the project is explicitly designed to provide Google Stitch and AI coding agents with plain-text design context without extra build tooling.

  • The README defines DESIGN.md as “a plain-text design system document that AI agents read” and says there are “No Figma exports, no JSON schemas, no special tooling.”
  • The workflow is simple: copy a site’s DESIGN.md into the project root and tell the AI agent to use it.
  • Each document covers more than colors and fonts: component states, spacing, elevation, responsive behavior, and an Agent Prompt Guide are included.

However, consistent enforcement still depends on whether the selected agent follows the whole Markdown document. The README does not provide cross-agent compliance or visual consistency metrics.

  • What is DESIGN.md?: “No Figma exports, no JSON schemas, no special tooling.”
  • How to Use: “Copy a site's DESIGN.md into your project root” and “Tell your AI agent to use it.”
  • What's Inside Each DESIGN.md: Color Palette, Typography, Component Stylings, Responsive Behavior, and Agent Prompt Guide
Not stated in the README:The README does not state compliance rates or context-window limits for Google Stitch or other agents;It does not describe automated checks for rules that an agent ignores
Yes I want to use an AI agent to build a period-accurate retro-web proof of concept, choosing between Dell (1996) and Nintendo.com (2001). Can this project turn screenshot-like inspiration into rules for page structure, typography, decoration, and color?
For: A creative developer prototyping a 1990s-style web experience using the Dell (1996) and Nintendo.com (2001) design documents

Yes, it is suitable for a proof of concept because the README turns retro references into agent-readable visual rules rather than merely presenting screenshots.

  • The Retro Web collection includes Dell (1996) and Nintendo.com (2001), documenting details such as Dell’s black page frame, color-block cards, Helvetica-Black and Times Roman, GIF stickers, and Nintendo’s Y2K metal panels, dotted navigation, Arial-Black, and pixel Mario elements.
  • The project analysis says the retro collection can encode page frameworks, font combinations, decorative assets, and color structures, not just palette inspiration.
  • The common document structure covers atmosphere, semantic colors, typography hierarchy, component styling, layout, responsive behavior, and an Agent Prompt Guide, giving an agent concrete generation constraints.

Still, historical accuracy is not proven by the README. It does not document research sources, sampling methodology, or licensing for original brand assets and images.

  • Retro Web · DESIGN.md Nostalgia: detailed visual descriptions for Dell (1996) and Nintendo.com (2001)
  • What's Inside Each DESIGN.md: Visual Theme, Typography, Layout, Responsive Behavior, and Agent Prompt Guide
  • Project insights / innovation_points: the method can describe visual grammar from a specific historical period
Not stated in the README:The README does not identify the original pages, screenshots, or research sources used for the retro analysis;It does not define licensing boundaries for GIFs, logos, character images, or fonts
It depends I am building a data-rich dashboard for an enterprise AI platform and need to choose a visual baseline among Cohere, Together AI, and Replicate. Can these DESIGN.md files cover complex permissions, form validation, error flows, and internationalization rather than just marketing pages?
For: A product engineer designing a data-rich dashboard for an enterprise AI platform and comparing Cohere, Together AI, and Replicate visual languages

It depends: these files can accelerate visual direction for a dashboard, but the README does not establish that they cover a complete enterprise product state model.

  • The collection describes Cohere as an “Enterprise AI platform” with a “data-rich dashboard aesthetic,” Together AI as “Open-source AI infrastructure,” and Replicate as “code-forward.” These provide useful starting points for different product languages.
  • Each document includes component states, layout principles, responsive behavior, and Do’s and Don’ts, which can constrain hierarchy, density, and basic interaction appearance.
  • However, the project analysis explicitly warns that an individual DESIGN.md may not cover permissions, form validation, data density, internationalization, accessibility, or exception flows.
  • preview.html shows swatches, type scale, buttons, and cards; it cannot replace testing with real data volume and complex workflows.
  • Collection / AI & LLM Platforms: product and visual descriptions for Cohere, Together AI, and Replicate
  • What's Inside Each DESIGN.md: Component Stylings, Layout Principles, Responsive Behavior, and Do's and Don'ts
  • Project insights / usage_limitations: coverage of permissions, validation, data density, internationalization, accessibility, and exception flows is not guaranteed
  • Each site includes: preview.html showing color swatches, type scale, buttons, and cards
Not stated in the README:The README does not specify coverage of permission models, form rules, or error flows;It does not provide visual-regression results across page types or real data volumes
It depends Our startup has no dedicated UI/UX designer and is using AI coding agents to build a marketing site. Can using the Claude, Mistral AI, or VoltAgent DESIGN.md files reduce blank-page design cost while avoiding direct copying of third-party brands?
For: A startup without a dedicated UI/UX designer that uses AI coding agents for a marketing site and wants to choose among Claude, Mistral AI, and VoltAgent references

It depends: the project can substantially reduce the cost of establishing an initial visual direction, but safe adoption requires abstracting brand patterns instead of copying brand assets.

  • The README promises that copying a DESIGN.md lets an agent generate a “matching UI,” and says the files contain analyzed patterns, tokens, and rules. That is useful for a team without a dedicated designer.
  • The collection offers concrete alternatives: Claude’s warm terracotta editorial style, Mistral AI’s purple-toned minimalism, and VoltAgent’s void-black, emerald, terminal-native style.
  • Do’s and Don’ts, component states, and responsive behavior help prevent an agent from copying only surface colors while ignoring broader design rules.
  • The project analysis warns that the MIT license does not automatically grant rights to third-party brand assets or trademarks, and the README does not guarantee freedom from brand confusion.
  • README introduction: generate “high-quality UI that stays visually consistent with the design language”
  • Collection / AI & LLM Platforms: visual descriptions for Claude, Mistral AI, and VoltAgent
  • What's Inside Each DESIGN.md: Do's and Don'ts, Component Stylings, and Responsive Behavior
  • Project insights / common_pitfalls: the MIT license does not automatically grant rights to third-party brand assets or trademarks
Not stated in the README:The README does not say whether brand analyses were authorized or legally reviewed;It does not specify how agents are expected to handle logos, proprietary illustrations, trademarks, or copy
Yes I am building a landing page with Framer and need to compare Webflow, Framer, and Figma visual directions quickly. Can this project’s DESIGN.md files and preview.html support that choice without first integrating a full design tool?
For: A landing-page frontend engineer using Framer who wants to compare the visual directions of Webflow, Framer, and Figma

Yes, it is suitable for comparing visual directions, but not for treating the comparison output as a complete production design system inside Framer.

  • The collection includes Figma, Framer, and Webflow with distinct descriptions, such as Framer’s “Bold black and blue, motion-first” and Webflow’s “Blue-accented, polished marketing site aesthetic.”
  • Each site includes DESIGN.md, preview.html, and preview-dark.html. The previews show color swatches, type scale, buttons, and cards, making browser-based comparison practical.
  • The project is not tied to React, Vue, Tailwind, or a particular CSS architecture. Its Markdown format can therefore serve as portable design context outside Framer.

The limitation is that the README does not say whether previews reproduce Framer animations or provide an automatic import path into Framer.

  • Collection: Figma, Framer, and Webflow entries with their style descriptions
  • Each site includes: DESIGN.md, preview.html, and preview-dark.html
  • What is DESIGN.md?: “Markdown is the format LLMs read best”
Not stated in the README:The README does not state whether preview.html includes animation, interaction states, or Framer-specific behavior;No DESIGN.md-to-Framer style or component importer is documented

✨ Highlights

  • Includes DESIGN.md files for Claude, Cursor, Vercel, and more
  • Each file covers 9 design-rule sections plus an Agent Prompt Guide
  • Also provides preview.html and preview-dark.html catalogs
  • Covers AI platforms, IDEs, DevOps, and retro web scenarios

🔧 Engineering

  • Copy a site's DESIGN.md into the project root for an AI agent to read
  • Files define palettes, typography, components, responsive behavior, and anti-patterns
  • Each site includes preview.html and preview-dark.html visual catalogs

⚠️ Risks

  • The README has no install command, and the stack is marked Mixed/Unknown
  • The project has 0 releases and only 4 contributors, limiting release-process evidence
  • The README does not describe testing or automated validation for DESIGN.md files

👥 For who?

  • Developers generating web UI with Cursor, Claude, or Google Stitch
  • Teams needing to reproduce the visual language of Vercel, Supabase, or Raycast
  • Projects that want Markdown-based design rules rather than Figma exports