
visual-brand-extractor
Extract visual branding (colors, typography, layout patterns) from a client's website and generate a style preset compatible with the HTML slides skill and a brand config JSON for the content asset creator. Uses WebFetch to read pages and analyzes CSS/HTML to identify the color palette, font pairings, and aesthetic patterns.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/gooseworks-ai/goose-skills --skill visual-brand-extractor- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads visual-brand-extractor automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Visual Brand Extractor
Extract a client's visual identity from their website and generate reusable style presets for slides and content assets. This is an agent-executed skill — the AI reads pages via WebFetch and performs the analysis directly.
Quick Start
Extract visual branding from https://vapi.ai for the Vapi client.
Inputs
| Input | Required | Description |
|---|---|---|
| Website URL | Yes | Client's homepage or landing page URL |
| Client name | Yes | For naming the output files |
| Additional pages | No | Product page, docs page, etc. for richer extraction |
Output
Two files saved to clients/<client-name>/brand/visual-identity.md:
- Slide preset — CSS custom properties, typography, and signature elements matching the format in
skills/create-html-slides/STYLE_PRESETS.md - Brand config JSON — Simple color/font config matching
skills/content-asset-creatorformat
Process
Phase 1: Fetch Target Pages
Fetch 2-3 pages to get a representative sample of the brand:
- Homepage (mandatory) — the primary brand expression
- Product/feature page (if available) — deeper color and layout usage
- Blog or about page (optional) — secondary design context
Use WebFetch on each URL with a prompt like:
"Extract the full content of this page. I need: all color values (hex, rgb, hsl), font family names, CSS class names (especially Tailwind utility classes), any CSS custom properties/variables, meta tags, and the general structure of the page layout. Preserve exact color codes and font names."
Phase 2: Extract Color Palette
Analyze the fetched content to identify the color palette. Look for these sources in priority order:
2.1 CSS Custom Properties
Look for :root, html, or body blocks containing color variables:
--color-primary, --primary, --brand, --accent
--bg-*, --background-*
--text-*, --foreground-*
2.2 Meta Tags
Check for:
<meta name="theme-color" content="#...">— often the primary brand color<meta name="msapplication-TileColor" content="#...">
2.3 Explicit CSS Color Declarations
Search for color values in these properties:
background-color,background(including gradients)color(text colors)border-color,borderbox-shadow(accent/glow colors)fill,stroke(SVG logo colors)
2.4 Tailwind Utility Classes
If the site uses Tailwind CSS, map utility classes to hex values using the reference table below.
2.5 Classify Colors into Roles
| Role | How to Identify |
|---|---|
| bg-primary | background-color on body, html, or outermost container. The most common background. |
| bg-secondary | Background on cards, sections, or secondary containers. Slightly different from primary. |
| text-primary | color on body or the most common text color. |
| text-secondary | Muted text variant — used on subtitles, descriptions, .text-gray-* elements. |
| accent | Most prominent non-bg, non-text color. Found on buttons, links, CTAs, highlights. Also check <meta name="theme-color">. |
| accent-secondary | Second accent color, or gradient partner. Found on secondary buttons, hover states. |
| card-bg | Background of cards, modals, or elevated surfaces (if different from bg-primary). |
2.6 Determine Theme Type
Check the luminance of bg-primary:
- Dark theme: Dark background (black, navy, charcoal) with light text
- Light theme: White or cream background with dark text
- Mixed: Note if the site uses both (e.g., dark hero + light content sections)
Phase 3: Extract Typography
3.1 Find Font Sources
Look for font loading in this order:
-
Google Fonts
<link>tags — Font name is in the URL:fonts.googleapis.com/css2?family=Inter:wght@400;700→ Font:
Inter, weights: 400, 700 -
Fontshare
<link>tags — Similar URL pattern:api.fontshare.com/v2/css?f[]=clash-display@400,700→ Font:
Clash Display -
@font-facedeclarations — Extract thefont-familyvalue -
font-familyCSS properties — Direct declarations on elements
3.2 Classify into Display vs Body
| Role | How to Identify |
|---|---|
| Display font | Font on h1, h2, .title, .heading, .hero-title, or the largest/boldest text. |
| Body font | Font on body, p, or general content elements. |
If both use the same font family, it's a single-family pairing (like "Manrope + Manrope"). Note the different weights used for display (700-900) vs body (400-500).
3.3 Handle Proprietary Fonts
If the site uses a font NOT available on Google Fonts or Fontshare, map it to the closest available equivalent using the Font Fallback Table below.
Phase 4: Analyze Visual Patterns
Examine the CSS and page structure for these aesthetic signals:
| Signal | What to Look For | Aesthetic Implication |
|---|---|---|
| Border radius | border-radius values — large (12px+, 9999px) vs small (2-4px) vs none | Rounded = friendly/modern. Sharp = corporate/bold. |
| Gradients | linear-gradient, radial-gradient in backgrounds | Gradient-forward = modern SaaS aesthetic |
| Shadows | box-shadow frequency and intensity | Heavy shadows = depth/elevation. None = flat/minimal. |
| Spacing | Padding/margin sizes — generous (4rem+) vs tight (1rem) | Airy = premium/minimal. Dense = information-rich. |
| Animations | @keyframes, transition, transform presence | Motion-forward = energetic. Minimal = calm/professional. |
| Grid patterns | Background grid/dot patterns, decorative overlays | Technical/developer aesthetic |
| Gradient orbs | radial-gradient on positioned pseudo-elements | Modern, atmospheric aesthetic |
| Borders as accents | Colored border-left or border-top on sections | Editorial, organized aesthetic |
Synthesize the Vibe
Based on the signals above, compose:
- Vibe: 2-4 adjectives (e.g., "Clean, technical, developer-focused, modern")
- Layout description: 1 sentence (e.g., "Full-width dark sections with centered content and generous whitespace")
- Signature elements: 3-4 reproducible CSS patterns from the site
Phase 5: Generate Output
Create the file clients/<client-name>/brand/visual-identity.md with both output formats.
Output Template
# Visual Brand Identity: [Company Name]
**Extracted from:** [URL(s)]
**Date:** [YYYY-MM-DD]
---
## Slide Preset
**Vibe:** [2-4 adjectives]
**Layout:** [1 sentence describing dominant layout pattern]
**Typography:**
- Display: `[Font Name]` ([weight, e.g., 700/800])
- Body: `[Font Name]` ([weight, e.g., 400/500])
**Colors:**
```css
:root {
--bg-primary: [hex];
--bg-secondary: [hex];
--text-primary: [hex];
--text-secondary: [hex];
--accent: [hex];
--accent-secondary: [hex];
}
```
**Signature Elements:**
- [Element 1, e.g., "Subtle gradient orbs as background decoration"]
- [Element 2, e.g., "Rounded cards with 12px border-radius and light shadow"]
- [Element 3, e.g., "Accent-colored left border on feature blocks"]
- [Element 4, e.g., "Grid dot pattern overlay on hero sections"]
**Font Loading:**
```html
<link href="https://fonts.googleapis.com/css2?family=[Font1]:wght@[weights]&family=[Font2]:wght@[weights]&display=swap" rel="stylesheet">
```
---
## Brand Config (JSON)
For use with `content-asset-creator` and other skills:
```json
{
"name": "[Company]",
"primary_color": "[accent hex]",
"secondary_color": "[accent-secondary hex]",
"accent_color": "[accent hex]",
"background": "[bg-primary hex]",
"text_color": "[text-primary hex]",
"font_heading": "[Display Font]",
"font_body": "[Body Font]",
"logo_url": "[if discovered, otherwise omit]"
}
```
---
## Extraction Notes
[Any notes about the extraction — proprietary fonts that were mapped, multiple themes detected, sparse CSS from JS-rendered sites, etc.]
Font Fallback Table
When a site uses a proprietary font not available on Google Fonts or Fontshare, use this mapping to find the closest available alternative:
| Font Category | Proprietary Examples | Google Fonts Alternative | Fontshare Alternative |
|---|---|---|---|
| Geometric sans | Circular, Roobert, Graphik, Product Sans | Plus Jakarta Sans, Outfit, Manrope | General Sans, Satoshi |
| Humanist sans | Proxima Nova, Calibri, Gill Sans | Source Sans 3, DM Sans, Work Sans | — |
| Neo-grotesque | Akkurat, Aktiv Grotesk, Suisse Int'l | Space Grotesk, Archivo, Albert Sans | Switzer |
| Modern serif | Tiempos, Canela, GT Sectra | Fraunces, Cormorant, Playfair Display | Zodiak, Sentient |
| Slab serif | Sentinel, Clarendon, Rockwell | Zilla Slab, Roboto Slab | — |
| Classic serif | Mercury, Chronicle, Minion | Source Serif 4, Lora, Libre Baskerville | Bespoke Serif |
| Monospace | SF Mono, Berkeley Mono, Dank Mono | JetBrains Mono, Fira Code, Space Mono | Jet Brains Mono |
| Display / decorative | GT Walsheim, Recoleta, Campton | Syne, Archivo Black, Bricolage Grotesque | Clash Display, Cabinet Grotesk |
Decision heuristic: If unsure which category a font falls into, look at its characteristics:
- Round dots and geometric 'o' → Geometric sans
- Varies stroke widths, warm feel → Humanist sans
- Uniform strokes, neutral → Neo-grotesque
- Serifs with high contrast → Modern serif
Tailwind CSS Color Reference
If the site uses Tailwind utility classes, map them to hex values:
Grays
| Class | Hex | Class | Hex |
|---|---|---|---|
gray-50 | #F9FAFB | gray-500 | #6B7280 |
gray-100 | #F3F4F6 | gray-600 | #4B5563 |
gray-200 | #E5E7EB | gray-700 | #374151 |
gray-300 | #D1D5DB | gray-800 | #1F2937 |
gray-400 | #9CA3AF | gray-900 | #111827 |
gray-950 | #030712 |
Slate (common for dark themes)
| Class | Hex | Class | Hex |
|---|---|---|---|
slate-50 | #F8FAFC | slate-500 | #64748B |
slate-100 | #F1F5F9 | slate-600 | #475569 |
slate-200 | #E2E8F0 | slate-700 | #334155 |
slate-300 | #CBD5E1 | slate-800 | #1E293B |
slate-400 | #94A3B8 | slate-900 | #0F172A |
slate-950 | #020617 |
Blues
| Class | Hex | Class | Hex |
|---|---|---|---|
blue-400 | #60A5FA | blue-700 | #1D4ED8 |
blue-500 | #3B82F6 | blue-800 | #1E40AF |
blue-600 | #2563EB | blue-900 | #1E3A8A |
Greens
| Class | Hex | Class | Hex |
|---|---|---|---|
green-400 | #4ADE80 | green-600 | #16A34A |
green-500 | #22C55E | green-700 | #15803D |
Common Accent Colors
| Class | Hex | Class | Hex |
|---|---|---|---|
indigo-500 | #6366F1 | purple-500 | #A855F7 |
indigo-600 | #4F46E5 | violet-500 | #8B5CF6 |
emerald-500 | #10B981 | amber-500 | #F59E0B |
teal-500 | #14B8A6 | rose-500 | #F43F5E |
cyan-500 | #06B6D4 | orange-500 | #F97316 |
Note: Tailwind classes appear as bg-blue-600, text-gray-900, border-indigo-500, etc. Strip the property prefix (bg-, text-, border-) to get the color token, then look up the hex value above.
For custom Tailwind themes (e.g., bg-brand, text-brand-light), check the page's <script> tags for a tailwind.config object that defines custom colors.
Edge Cases
JS-Rendered Sites (Sparse CSS)
Many modern sites (Next.js, React) inject styles via JavaScript. WebFetch may return minimal inline CSS. In this case:
- Focus on Tailwind utility classes in
classattributes - Check
<script>tags for embedded config objects - Look for
<style>tags that contain CSS-in-JS output - If still sparse, ask the user: "The site appears to use dynamic styling. Could you share a screenshot or provide their brand guidelines directly?"
Multiple Color Schemes (Light/Dark Mode)
Some sites define both light and dark themes via prefers-color-scheme. Extract the default (non-media-query) theme. If a dark mode variant is detected, note it in the Extraction Notes section.
Too Many Colors
Enterprise sites may use dozens of colors. Focus on:
- The hero/above-the-fold section for the primary palette
- Button/CTA colors for accent identification
- Frequency analysis — top 5-7 unique colors define the brand
No Usable Font Information
If font detection fails completely:
- Check if the site mentions font names in its CSS comments or config
- Look at the overall aesthetic and pick a matching pairing from the existing slide presets
- Default to a safe, distinctive pairing based on vibe: serif display + sans body for premium; geometric sans for modern tech
Example
Running this skill on https://vapi.ai might produce:
# Visual Brand Identity: Vapi
**Extracted from:** https://vapi.ai, https://docs.vapi.ai
**Date:** 2026-02-26
---
## Slide Preset
**Vibe:** Technical, developer-focused, clean, modern
**Layout:** Dark full-width sections with centered content, card-based feature grids, generous spacing
**Typography:**
- Display: `Inter` (700/800)
- Body: `Inter` (400/500)
**Colors:**
\```css
:root {
--bg-primary: #0F172A;
--bg-secondary: #1E293B;
--text-primary: #F8FAFC;
--text-secondary: #94A3B8;
--accent: #22C55E;
--accent-secondary: #3B82F6;
}
\```
**Signature Elements:**
- Subtle gradient orbs in background (green-to-blue radial gradients)
- Rounded cards with slate-800 background and subtle border
- Code-style monospace accents for technical terms
- Green accent on CTAs and interactive elements
**Font Loading:**
\```html
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;700;800&display=swap" rel="stylesheet">
\```
(This is an illustrative example — actual extraction results will vary based on the live site.)
Tips
- Homepage is usually enough. If the homepage has clear branding, you don't need additional pages. Fetch a second page only if the homepage is sparse or uses a different aesthetic from the rest of the site.
- Buttons reveal the accent color. The most reliable way to identify the primary accent is to find the button/CTA background color.
- Check the favicon/logo. SVG logos often contain the exact brand colors as
fillvalues. - Don't over-extract. The goal is 5-7 colors, 1-2 fonts, and 3-4 signature elements. More than that creates noise, not signal.
- When in doubt, simplify. A 3-color palette (bg + text + accent) with one font family at two weights makes a clean, usable preset.
Dependencies
- Web fetch capability (for reading website pages)
- No API keys or paid tools required
FAQ
What does the visual-brand-extractor skill do?
Extract visual branding (colors, typography, layout patterns) from a client's website and generate a style preset compatible with the HTML slides skill and a brand config JSON for the content asset creator. Uses WebFetch to read pages and analyzes CSS/HTML to identify the color palette, font pairings, and aesthetic patterns.
How do I install visual-brand-extractor?
Run npx skills add https://github.com/gooseworks-ai/goose-skills --skill visual-brand-extractor in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/visual-brand-extractor/ (personal) or .claude/skills/visual-brand-extractor/ (project).
Which AI agents can use visual-brand-extractor?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is visual-brand-extractor safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains visual-brand-extractor?
It is published by gooseworks-ai in gooseworks-ai/goose-skills. It has 53 recorded installs.
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