awesome-design-md: Ready-to-Copy DESIGN.md Files for AI Coding Agents
GitHub describes it as A collection of DESIGN.md files analysis by popular brand design systems. Drop one into your project and let coding agents generate a matching UI.. The metadata lists the MIT license. This article stays within the project description and details documented in the GitHub repository README.
At a glance
- What is it?
- awesome-design-md is a curated collection of DESIGN.md files extracted from real product design systems, built for use with AI coding agents. Copy one into your project root and your agent can generate UI that matches the chosen brand's visual patterns without any tooling or configuration.
- Who is it for?
- Developers who generate UI with AI coding agents and want consistent visual output will find this collection directly applicable. The workflow is minimal: pick a design system from the README list, copy the file from design-md/ or from getdesign.md, and prompt your agent.
- Can I use it commercially?
- Yes. MIT is a permissive licence: you can use, modify and sell software built on it, as long as you keep its copyright and licence notices.
- Is it still maintained?
- Yes. The repository last received commits 8 days ago.
- What is it written in?
- GitHub does not report a main language for this repository.
Answers come from the project's GitHub data, last synced on September 29, 2026, and from our analysis. They are not legal advice.
DEEP OPEN-SOURCE ANALYSIS
What DESIGN.md Is and Why awesome-design-md Exists
DESIGN.md is a plain-text file format introduced by Google Stitch. According to the README, it is a markdown file that AI agents read to understand how a UI should look. There is no JSON schema, no Figma plugin, and nothing to install or parse. The README describes it this way: markdown is the format LLMs read best, so there is nothing to configure. The file goes in the project root and any AI coding agent that reads the project directory picks it up automatically.
awesome-design-md exists because writing a DESIGN.md from scratch requires analyzing a design system in detail. This repository provides files that have already been extracted from real product websites, covering color tokens, typography, and component patterns for each product. The README states these files are built with real design depth, including analyzed patterns, tokens, and rules, for high-quality UI generation rather than surface-level output. The distinction it draws between AGENTS.md (telling a coding agent how to build the project) and DESIGN.md (telling a design agent how the project should look) clarifies the role of this format in an AI-driven workflow.
Categories in the Collection and How to Browse It
The README organizes entries into categories. The visible sections include AI and LLM platforms, developer tools and IDEs, backend and database and DevOps tools, and productivity and SaaS products. Each entry has a short description of its visual character. Examples from the README: Vercel is described as black and white precision with the Geist font; Linear as ultra-minimal with a purple accent; Supabase as a dark emerald theme that is code-first; Claude as a warm terracotta accent with a clean editorial layout; Ollama as terminal-first monochrome simplicity; Sentry as a dark dashboard with a pink-purple accent.
Several entries include more precise design notes beyond a single-line label. The Runway entry describes dark cinematic hero sections, paper-white reading bands, a single proprietary sans typeface, and pure black pill call-to-action buttons. The Sanity entry specifies 112px display type, IBM Plex Mono technical eyebrows, and a single coral-red accent color reserved for the highest-priority call to action. These details are what make the files actionable: an agent reading that Sanity uses IBM Plex Mono for eyebrows can apply that decision directly, without inferring it from a screenshot.
The actual files live in the design-md/ folder in the repository. Each entry in the README links to a URL on the getdesign.md domain where you can view or download the file directly. A CONTRIBUTING.md file exists for those who want to submit new entries to the collection.
How to Copy and Use a DESIGN.md in Your Project
The README describes the workflow in a single sentence: copy a DESIGN.md into your project, tell your AI agent to build a page that looks like it, and the agent generates UI. There is no installation step, no npm package to add, and no configuration file to edit.
In practice, you find the entry you want in the README, follow the link to getdesign.md to get the file, and place it in your project root. Alternatively, you can clone the repository and copy the file directly from the design-md/ directory. Once the file is in place, you instruct your AI coding agent in plain language, referencing DESIGN.md, and the agent reads it as part of the project context. The README specifies that any AI coding agent or Google Stitch can read the file.
What DESIGN.md Files Document and What They Leave Out
Based on the README's description, a DESIGN.md contains analyzed patterns, tokens, and rules extracted from a real product's public-facing design language. It describes visual intent: color choices, typography decisions, component patterns, and hierarchy rules that give a product its recognizable look.
What these files do not contain is implementation code. There is no React, no CSS, and no HTML inside a DESIGN.md. The file describes what the UI should look and feel like; the AI agent translates that description into actual code. The README does not specify how deep the analysis goes for any individual entry, or how often the files are updated when a product's design system changes. For any given entry, you are working with a point-in-time analysis of publicly visible patterns.
DESIGN.md vs Figma Exports and JSON Design Tokens
Figma exports and JSON design token files serve a related purpose: encoding a visual system in a format that tools can consume. The key difference is in the tooling required. A Figma export needs a plugin or a design token parser. A JSON tokens file typically needs a tool like Style Dictionary to transform it into usable CSS or platform output. A DESIGN.md needs nothing beyond an AI agent that can read text files.
The README positions DESIGN.md as the format LLMs read best because it is plain text with no parsing step. For teams that already export design tokens to JSON and use them in a build pipeline, DESIGN.md describes the same information in a form optimized for language model consumption rather than for a CSS preprocessor or a native mobile build tool. The two approaches are complementary, not mutually exclusive.
The README's AGENTS.md comparison clarifies where DESIGN.md sits in an AI-driven workflow. AGENTS.md tells a coding agent how to build the project: what commands to run, what dependencies exist, how deployment works. DESIGN.md tells it how the result should look and feel: colors, typography, spacing rules, and component patterns. The README treats these as sibling documents, each carrying a different dimension of the project's identity. Dropping a DESIGN.md from this collection into a project gives the design dimension without touching or replacing any AGENTS.md that may already be present.
Requesting a Custom DESIGN.md and Maintenance Status
The README includes a link to https://getdesign.md/request where you can request a DESIGN.md for a specific website, including private requests delivered exclusively to you. This is separate from the open-source collection in the repository itself.
The last push to this repository was on 2026-09-21. The MIT license permits copying individual DESIGN.md files into personal or commercial projects without restriction. The repository has no GitHub releases; the collection grows through contributions and additions tracked in the main branch.
Editorial conclusion
Developers who generate UI with AI coding agents and want consistent visual output will find this collection directly applicable. The workflow is minimal: pick a design system from the README list, copy the file from design-md/ or from getdesign.md, and prompt your agent. Developers who need actual component code, production-grade design tokens exported to JSON, or a system synchronized with a live Figma file will find these files incomplete for that purpose. Before relying on any specific DESIGN.md, check the repository or getdesign.md to confirm the file for your target design system is present.
Frequently asked questions
How do I use awesome-design-md?
Copy a DESIGN.md file from the design-md/ folder or from getdesign.md into your project root, then tell your AI coding agent to build a UI that looks like it. The README states there is no tooling or parsing step; the agent reads the markdown file directly.
How do I install awesome-design-md?
There is nothing to install. awesome-design-md is a collection of markdown files. You copy the specific DESIGN.md you want from the design-md/ folder in the repository, or download it from getdesign.md, and place it in your project root.
What is the DESIGN.md format and who created it?
DESIGN.md is a plain-text markdown format introduced by Google Stitch for describing a visual design system to AI coding agents. It contains analyzed patterns, tokens, and rules extracted from a product's design language, with no HTML, CSS, or component code inside the file.
Official sources
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