Learning note
Design.md: A Structured Format for Visual Identity in Coding Agents
Design.md is a format specification that enables coding agents to understand and apply a visual identity consistently through machine-readable design tokens combined with human-readable rationale.
AI-assisted: This post was generated with AI assistance from a Karakeep bookmark and source material.Design.md is an innovative format specification designed to describe a visual identity to coding agents, providing them with a persistent and structured understanding of a design system. It combines machine-readable design tokens in YAML front matter with human-readable markdown prose that explains the design rationale.
The format allows precise definition of colors, typography, spacing, and component styles, enabling automated tools to generate consistent user interfaces. For example, colors like primary, secondary, and tertiary are defined with hex values, while typography tokens specify font families and sizes. Components like buttons can reference these tokens to maintain design consistency.
Design.md also includes CLI tools for linting, diffing, and exporting design tokens to popular formats like Tailwind and W3C Design Tokens, facilitating integration into development workflows. The specification encourages clear documentation of design choices alongside the tokens, helping agents understand not just what values to use but why.
This approach is particularly useful for teams and projects aiming to automate UI generation or maintain design consistency across codebases with the help of AI or other coding agents.
For more details and to explore the specification, visit the official GitHub repository at https://github.com/google-labs-code/design.md.