Extract Design

Community

danielvm-git

extract-design

Extract a Google DESIGN.md file from an HTML prototype (claude.ai/design or any styled page) using Puppeteer, producing machine-readable tokens and AI-generated prose. Use when the user has an HTML prototype and wants a DESIGN.md to anchor their project's visual identity, or when seed-conventions has just scaffolded a new project.

Overview

Publisher	danielvm-git
Repository	`bigpowers`
Skill name	`extract-design`
Stars	206
Forks	18
Bundled files	18
License	MIT
Links	Skill source Repository Homepage

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.
18 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by danielvm-git on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/danielvm-git/bigpowers.git /tmp/bigpowers
mkdir -p .claude/skills
cp -r /tmp/bigpowers/skills/extract-design .claude/skills/extract-design

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Extract Design 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 Extract Design 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 Extract Design 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.

Extract DESIGN.md from HTML

HARD GATE — Do NOT write DESIGN.md without Puppeteer dual-pass extraction. Tokens from static HTML (Cheerio, regex, string scanning) are invalid — they miss cascade, custom properties, and Tailwind resolution.

HARD GATE — Do NOT claim certainty where evidence is thin. Low-confidence color roles, component classifications, and prose assertions MUST be flagged with .

HARD GATE — Do NOT ship DESIGN.md without running npx @google/design.md lint. Unvalidated output is unverified output. If lint is unavailable (offline), flag prominently in terminal and in DESIGN.md prose.

Quick Start

bash
# First run — extract from HTML prototype
node extract-design/scripts/extract.js --source ./prototype.html

# From a published URL
node extract-design/scripts/extract.js --source https://my-prototype.example.com

# With a custom name
node extract-design/scripts/extract.js --source ./proto.html --name "My Design System"

# Update — re-extract from new HTML, diff against existing
node extract-design/scripts/extract.js --source ./proto-v2.html

# Lint-only — validate existing DESIGN.md without re-extraction
node extract-design/scripts/extract.js --lint-only

Flow

Launch Puppeteer — dual-pass (light + dark) with retry + timeout. CI flags: --headless=new --no-sandbox --disable-gpu --disable-dbus --use-gl=angle --use-angle=swiftshader.
Collect styles — page.evaluate() collects computed styles from every element. Returns raw JSON to Node.js. Browser = sensor; Node = brain.
Classify tokens — modular pipeline: colors (Material 3 roles), typography (scale detection), spacing (tolerance GCD), rounded (clustering), components (visual signature + pseudo-state variants).
Generate prose — AI heuristics produce all 8 DESIGN.md sections. Overview and Do's/Don'ts flagged with agent notes.
Write + validate — serialize to specs/tech-architecture/DESIGN_LATEST.md, run npx @google/design.md lint, report to terminal.
Handoff — writes handoff.next_skill: grill-me to specs/state.yaml with uncertain decisions context.

Inputs

Parameter	Required	Description
`--source <file\|url>`	First run: yes. Update: optional	HTML prototype path or URL
`--name <string>`	No	Design system name (defaults to `<title>` or directory name)
`--lint-only`	No	Validate existing DESIGN.md without re-extraction

Output

specs/tech-architecture/DESIGN_LATEST.md — replaces DESIGN_PLAN_LATEST.md as the canonical design artifact
Terminal summary: token counts, component count, lint result, uncertain decisions
Structured JSON log to stderr: extraction events, timing, counts
specs/state.yaml → handoff.next_skill: grill-me with context

Error Tiers

Tier	Condition	Response
Fatal	No Chrome, page load timeout after retries	Exit non-zero, suggest fixes
Degraded	Zero colors, zero typography, SPA shell	Write DESIGN.md with degradation warning
Warned	Lint errors, uncertain decisions	Write DESIGN.md, flag in terminal, hand off to grill-me

Dependencies

Puppeteer (Chrome binary) — wrapped behind BrowserExtractor interface for testability
@google/design.md (soft, via npx) — wrapped behind DesignValidator interface. Warns and skips if offline.

verify

bash
node extract-design/tests/test-extraction.js

See REFERENCE.md for extraction algorithms and heuristics.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Extract Design AI skill do?

Why use Extract Design on TypingMind?

Because you install it once and use it with any model. Extract Design 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 Extract Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/danielvm-git/bigpowers/tree/main/skills/extract-design. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Extract Design?

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 Extract Design?

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

Is the Extract Design AI skill free?

Yes. It is published on GitHub by danielvm-git 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Extract DESIGN.md from HTML

Quick Start

Flow

Inputs

Output

Error Tiers

Dependencies

verify

Bundled files

Frequently asked questions

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