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

Output

Two files saved to

clients/<client-name>/brand/visual-identity.md

1. Slide preset — CSS custom properties, typography, and signature elements matching the format in

   skills/create-html-slides/STYLE_PRESETS.md

2. Brand config JSON — Simple color/font config matching

   skills/content-asset-creator

   format

Process

Phase 1: Fetch Target Pages

Fetch 2-3 pages to get a representative sample of the brand:

1. Homepage (mandatory) — the primary brand expression
2. Product/feature page (if available) — deeper color and layout usage
3. 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

body

--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

  ,

  border

• box-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

background-color

body

html

color

body

.text-gray-*

<meta name="theme-color">

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:

1. Google Fonts

   <link>

   tags — Font name is in the URL:

   fonts.googleapis.com/css2?family=Inter:wght@400;700
   

   → Font:

   Inter

   , weights: 400, 700

2. Fontshare

   <link>

   tags — Similar URL pattern:

   api.fontshare.com/v2/css?f[]=clash-display@400,700
   

   → Font:

   Clash Display

3. @font-face

   declarations — Extract the

   font-family

   value

4. font-family

   CSS properties — Direct declarations on elements

3.2 Classify into Display vs Body

h1

h2

.title

.heading

.hero-title

body

p

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:

border-radius

linear-gradient

radial-gradient

box-shadow

@keyframes

transition

transform

radial-gradient

border-left

border-top

Synthesize the Vibe

Based on the signals above, compose:

1. Vibe: 2-4 adjectives (e.g., "Clean, technical, developer-focused, modern")
2. Layout description: 1 sentence (e.g., "Full-width dark sections with centered content and generous whitespace")
3. Signature elements: 3-4 reproducible CSS patterns from the site

Phase 5: Generate Output

Create the file

clients/<client-name>/brand/visual-identity.md

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:

Plus Jakarta Sans

Outfit

Manrope

General Sans

Satoshi

Source Sans 3

DM Sans

Work Sans

Space Grotesk

Archivo

Albert Sans

Switzer

Fraunces

Cormorant

Playfair Display

Zodiak

Sentient

Zilla Slab

Roboto Slab

Source Serif 4

Lora

Libre Baskerville

Bespoke Serif

JetBrains Mono

Fira Code

Space Mono

Jet Brains Mono

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

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)

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

blue-400

#60A5FA

blue-700

#1D4ED8

blue-500

#3B82F6

blue-800

#1E40AF

blue-600

#2563EB

blue-900

#1E3A8A

Greens

green-400

#4ADE80

green-600

#16A34A

green-500

#22C55E

green-700

#15803D

Common Accent Colors

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

bg-

text-

border-

For custom Tailwind themes (e.g.,

bg-brand

text-brand-light

<script>

tailwind.config

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

  class

  attributes
• 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

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:

1. Check if the site mentions font names in its CSS comments or config
2. Look at the overall aesthetic and pick a matching pairing from the existing slide presets
3. 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

# 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

  fill

  values.
• 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