Skill detail
web-typography
Practical guide to selecting, pairing, and implementing web typefaces, covering readability, responsive typography, font loading, hierarchy, and performance.
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SKILL.md
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---
name: web-typography
description: 'Select, pair, and implement typefaces for web projects. Use when the user mentions "font pairing", "which typeface", "line height", "responsive typography", "web font loading", "type hierarchy", "variable fonts", "FOUT/FOIT", "typographic scale", or "the text is hard to read". Also trigger when choosing between system fonts and web fonts, optimizing font-loading performance, or designing readable long-form content. Covers readability evaluation, CSS implementation, and performance optimization. For overall UI design systems, see refactoring-ui. For dramatic typographic experiences, see top-design.'
license: MIT
metadata:
author: wondelai
version: "1.5.0"
---
# Web Typography
A practical guide to choosing, pairing, and implementing typefaces for the web. The best typography is invisible — it immerses readers in content rather than calling attention to itself.
## Core Principle
**Typography is the voice of your content.** The typeface you choose sets tone before a single word is read — a legal site shouldn't feel playful; a children's app shouldn't feel corporate. Follow the "clear goblet" principle: typography should be like a crystal-clear wine glass, keeping focus on the wine (content), not the glass (type).
## Scoring
**Goal: 10/10.** Score = number of the 10 Quick Diagnostic rows the implementation satisfies. Bands: **9-10** = body 16px+, measure under 75ch, line-height 1.4+, clear level contrast, font payload under 200KB, fallbacks set, survives 200% zoom; **5-6** = readable but missing measure control, fallbacks, or zoom resilience; **<=3** = sub-16px body, no measure cap, FOIT, or unreadable hierarchy. Always state the current score and the specific diagnostic rows failing.
## Two Contexts for Type
All typography falls into two categories:
| Context | Purpose | Priorities |
|---------|---------|------------|
| **Type for a moment** | Headlines, buttons, navigation, logos | Personality, impact, distinctiveness |
| **Type to live with** | Body text, articles, documentation | Readability, comfort, endurance |
**Workhorse typefaces** excel at "type to live with" — versatile across sizes, weights, and contexts without drawing attention. Examples: Georgia, Source Sans, Freight Text, FF Meta.
## Typography Framework
### 1. How We Read
**Core concept:** Understanding reading mechanics is the foundation for every typography decision. Eyes don't scan smoothly — they jump in bursts.
**Why it works:** Fighting these mechanics creates friction that drives readers away; aligning with them lets readers absorb content faster with less fatigue.
**Key insights:**
- **Saccades** — eyes jump in 7-9 character bursts; line length and letter spacing directly affect saccade efficiency
- **Fixations** — eyes pause briefly to absorb content; dense or poorly spaced text slows reading
- **Word shapes (bouma)** — experienced readers recognize word silhouettes, not individual letters
- **Legibility vs. readability** — legibility is whether characters can be distinguished (a typeface concern); readability is whether text can be comfortably read for extended periods (a typography concern: size, spacing, line length). A legible typeface can still be set unreadably
**Product applications:**
| Context | Application | Example |
|---------|------------|---------|
| Long-form content | Optimize for sustained comfort | 16-18px body, 1.5-1.7 line height, 45-75 char lines |
| Dashboard UI | Optimize for rapid scanning | Distinct weight hierarchy, whitespace between data groups |
| Mobile reading | Account for distance and lighting | Larger body (17-18px), higher contrast |
**Copy patterns:**
```css
.prose {
font-size: 1.125rem; /* 18px */
line-height: 1.6;
max-width: 65ch; /* ~45-75 characters */
}
```
See: [references/typeface-anatomy.md](references/typeface-anatomy.md) when you need to name letterform parts (x-height, counter, aperture) or place a face in a classification system Read the full source on GitHub (opens external page)