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# The design bottleneck for AI agents isn't the model. It's context.

**[matt abrams](https://daily.dev/sources/2hhfmmubeyfxr7t1gqtvp)** · [@zuchka](https://daily.dev/zuchka) · 1 min read · 1 upvotes · 0 comments

## Summary

A developer built a tool that extracts visual design systems from any public URL and outputs a structured design.md file with YAML front matter, intended to give AI coding agents immediate design context. The tool captures colors, typography, spacing, radii, and component patterns — acting as a free alternative to Figma Dev Mode or design token exports. The author is seeking feedback on whether YAML front matter is the optimal format for agent consumption.

## Content

I kept hitting the same bad-design wall while building with coding agents: the model is rarely the problem. It doesn't know what the design should look like. It has no idea about your type scale, your spacing system, your brand radius — so it guesses, and you spend half your time correcting it.

So I built a tool to fix the cold start. You paste any public URL, and it extracts the visual system — colors, typography, spacing, radii, component patterns — and outputs a structured `design.md` with YAML front matter, formatted so an agent can read it as design context from the first prompt.

It's basically a free alternative to a Figma Dev Mode / design-tokens export, except it works on any public site you don't own, no design file required. The output is also AI-enrichable — run it through a model to expand component descriptions or reformat for a specific framework.

Curious what people here think about the output format, specifically whether YAML front matter is the right structure for agent consumption or if there's something better.

https://freedesign.md

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#vibe-coding](https://daily.dev/tags/vibe-coding), [#figma](https://daily.dev/tags/figma), [#design-systems](https://daily.dev/tags/design-systems)

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