Open Design Design System From Url logo

Open Design Design System From Url

Organization
feimacode
open-design-design-system-from-url

Make a design system from a website — measure its real colours, fonts, spacing and button states in a browser, write DESIGN.md and tokens.css that agree, and check the result side by side with the site before saving — use whenever the user wants a design system, brand kit, theme or tokens taken from a website or URL ("make a design system from stripe.com", "match our site's look", "extract the brand from this page"), even if they don't mention Open Design

Overview

Publisherfeimacode
Repositoryopen-design-agent-kit
Skill nameopen-design-design-system-from-url
Stars
4
Forks
1
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by feimacode on GitHub. Read the source before you install it.

Installation

Install the Open Design Design System From Url AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/feimacode/open-design-agent-kit/tree/main/.agents/skills/open-design-design-system-from-url
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/feimacode/open-design-agent-kit.git /tmp/open-design-agent-kit
mkdir -p .claude/skills
cp -r /tmp/open-design-agent-kit/.agents/skills/open-design-design-system-from-url .claude/skills/open-design-design-system-from-url
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Open Design Design System From Url in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Open Design Design System From Url on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Open Design Design System From Url is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Make an Open Design design system from a website: measure the rendered site, write DESIGN.md and tokens.css from one set of measurements, and check the result against the site before saving it.

Request: the rest of the user's message (if there is none, ask the user: "Which website should the design system come from?")

How to talk to the user. Many people using Open Design don't write code, so:

  • Use the user's own words. If they say "artifact", "design tokens" or give a file path, use those terms back; otherwise use the plain words below.
  • Keep the machinery out of replies: no tool names, no ids like od:prototype:poster-hero, no internal files (.artifact.json, .comments.json, config.json), and not the words "register", "manifest", "sidecar", "entry" or "surface", unless the user used them first.
  • Explain a print term the first time it comes up, in one short clause, and not again.
  • Say where a file is the way the user would find it ("in your Open Design folder, under seed-swap-flyer"). Give a raw path only where the user can click it (Claude Code, Claude Desktop's Code tab, VS Code) or asks for it.
  • End each reply that finishes a step with one line on what they can do next, with at most two options ("Want it in Instagram sizes too, or is it ready to print?").
Instead ofSay
artifact, entry, registeredyour design, saved
design system, active design systemyour style (the first time: "a saved style: colours, fonts and spacing")
surface, skill, template, recipekind of design, starting layout, or nothing
workspace, output directoryyour folder, your Open Design folder
bleedprint edge ("a few millimetres extra that the printer trims off")
trim sizefinal size
preflight findings, errors"I checked it and fixed…", "one thing to look at:"
exportsave as PDF, save as an image
inline preview, MCP Appthe preview above

1. Ask only what's missing

Three things decide the run. Take each from the request when it says so, and ask only about the ones it leaves open, in one message:

  1. The address (and, optionally, up to 3 more pages on the same site, such as a pricing or product page).
  2. Light, dark or both. Default to light if the user doesn't care.
  3. Their own brand, or a reference? For a reference site the design system is named "-inspired" and no logos or images are copied.

If the request already answers all three ("make a dark design system from https://example.com, it's our brand"), ask nothing and go straight on.

2. Measure the site

Call extract_open_design_design_system with url, extraUrls if there are any, and theme.

  • ok: you get a draft (contract tokens, a [data-theme="dark"] set only if the site has a dark theme), sources saying which element each value came from, the unmeasured tokens, and the screenshot. Look at the screenshot and the role crops in the evidence bundle before writing anything.
  • partial (no browser installed): only candidate colours and fonts from the page source. Tell the user, show the candidates, and ask them to confirm the brand colour and font, or to install Chrome for a full measurement.
  • blocked: show the user the screenshot and the reason. Ask for the site's CSS, a screenshot of the page they mean, or another public page. Don't retry the same page.
  • An invalid-args error (a private address, an extra page on another site): tell the user what was refused and why.

If the user asked for dark and the result notes that no dark theme was found, say so. Don't invent dark values.

3. Write both files from the draft

Call create_open_design_design_system with a name (for a reference site, "-inspired") and a brief describing the site in a sentence. Don't pass sourceUrl: you have better measurements already. It returns the suggestedEntryPath, the id and the token contract.

Write DESIGN.md at suggestedEntryPath and tokens.css beside it, both from the same draft:

  • tokens.css: start from draftCss. Keep every measured value exactly as measured. For an unmeasured token, leave it out so the contract fallback applies, or derive it from measured ones (a color-mix() of --accent for a missing hover); never make one up, and don't fill two steps with the same value.
  • Sanity-check each role against the screenshot first. If a measured value plainly can't be that role (text that would be unreadable on --bg, a hairline as a spacing step), drop it and say so; don't write prose to explain it away.
  • DESIGN.md: the values it names (primary colour, surface, text, the font families, the type scale) must be the same values as tokens.css. Write the prose (atmosphere, layout, components, voice, do and don't) from the screenshots. For a reference site, say near the top that it is inspired by the site and name it.
  • Marks: for the user's own brand, copy the files in the result's marks into an assets/ folder beside DESIGN.md and mention them there. For a reference site, copy none.

4. Review it side by side

Write a review page next to the design system as review.html, and register it with register_open_design_artifact. One page, two columns:

  • Left, "The site": the desktop screenshot from the evidence bundle (an <img> with a relative path to it), cropped with object-fit: cover to the top 900px.
  • Right, "The design system": a sample page that uses only the new tokens.css (<link rel="stylesheet"> to it, or its :root block inlined): a hero with a heading and a primary and secondary button, a card with text, and a form row with a label, an input and a button.

Call check_open_design_artifact on it. Compare the two columns yourself (colours, font, button shape, density), fix anything that's clearly off, then show the user the review and ask whether it matches.

Apply what the user says ("the buttons are rounder on the site" → raise the radius tokens) in both files, rebuild the review and check again. Stop after two rounds of fixes: save then, and list anything still open.

5. Save

Call set_active_design_system with the returned id if the user wants to design with it now (offer it). Tell the user the design system's id and where its files are, and that the measurements are kept in the evidence bundle.

Frequently asked questions

What does the Open Design Design System From Url AI skill do?

Make a design system from a website — measure its real colours, fonts, spacing and button states in a browser, write DESIGN.md and tokens.css that agree, and check the result side by side with the site before saving — use whenever the user wants a design system, brand kit, theme or tokens taken from a website or URL ("make a design system from stripe.com", "match our site's look", "extract the brand from this page"), even if they don't mention Open Design

Why use Open Design Design System From Url on TypingMind?

Because you install it once and use it with any model. Open Design Design System From Url is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Open Design Design System From Url in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/feimacode/open-design-agent-kit/tree/main/.agents/skills/open-design-design-system-from-url. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Open Design Design System From Url?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Open Design Design System From Url?

As many as you like. As long as a model supports skills, you can use Open Design Design System From Url with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Open Design Design System From Url AI skill free?

Yes. It is published on GitHub by feimacode under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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