Typography Pairing Recipes

Community

phazurlabs

typography-pairing-recipes

100+ font pairing recipes and type scale systems covering Google Fonts, system stacks, variable fonts, fluid clamp() scales, and platform-native type, each with display, body, and mono picks at exact weights and line-heights. Use when choosing fonts or building a type scale.

Overview

Publisher	phazurlabs
Repository	`sumi`
Skill name	`typography-pairing-recipes`
Stars	58
Forks	11
Bundled files	3
License	Apache-2.0
Links	Skill source Repository

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

Installation

Install the Typography Pairing Recipes 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.
https://github.com/phazurlabs/sumi/tree/main/skills/typography-pairing-recipes
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/phazurlabs/sumi.git /tmp/sumi
mkdir -p .claude/skills
cp -r /tmp/sumi/skills/typography-pairing-recipes .claude/skills/typography-pairing-recipes

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

Use it in TypingMind

Enable Typography Pairing Recipes 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 Typography Pairing Recipes 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 Typography Pairing Recipes 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.

Typography Pairing Recipes — 100+ Font Combinations

Pairing Principles

Great typography pairings follow two rules:

Contrast: The two fonts should be visually distinct (serif + sans-serif, geometric + humanist)
Complement: Despite contrast, they should share a quality (similar x-height, era, mood)

Font Classification Quick Reference

Geometric sans: Clean, circular forms (Inter, Geist, Futura, Montserrat)
Humanist sans: Organic, calligraphic influence (Source Sans, Fira Sans, Open Sans)
Neo-grotesque sans: Neutral, uniform (Helvetica, Roboto, SF Pro)
Old-style serif: Classic, calligraphic (Garamond, Libre Baskerville, Newsreader)
Transitional serif: Refined, higher contrast (Georgia, Charter, Merriweather)
Modern serif: High contrast, elegant (Playfair Display, Didot)
Slab serif: Strong, sturdy (Roboto Slab, Zilla Slab)
Monospace: Fixed-width, technical (JetBrains Mono, Fira Code, SF Mono)
Display: Decorative, large sizes only (Fraunces, Instrument Serif)

Top 20 Pairings (Curated)

Minimal/Modern

Inter + Inter — Monofamily. Weight contrast creates hierarchy. The safest choice.
Geist Sans + Geist Mono — Vercel's stack. Clean, technical, modern.
Inter + JetBrains Mono — Standard modern pairing. Works for everything.
Plus Jakarta Sans + JetBrains Mono — Slightly warmer than Inter.
DM Sans + DM Mono — Geometric, clean, cohesive family.

Premium/Editorial

Instrument Serif + Instrument Sans — Matched pair. Editorial elegance.
Playfair Display + Source Sans 3 — Classic luxury. Serif headlines, clean body.
Fraunces + Commissioner — Variable fonts, expressive range.
Newsreader + Inter — Editorial headlines, neutral body.
Cormorant Garamond + Montserrat — High contrast elegance.

Friendly/Warm

Nunito + Nunito Sans — Rounded, approachable, matched pair.
Poppins + Inter — Geometric warmth meets neutral clarity.
Quicksand + Roboto — Playful headlines, readable body.
Outfit + Inter — Modern rounded geometric.
Sora + Inter — Japanese-inspired geometric.

Corporate/Enterprise

IBM Plex Sans + IBM Plex Mono — Corporate precision. Full family.
Noto Sans + Noto Serif — Google's universal family. All scripts supported.
Source Sans 3 + Source Serif 4 — Adobe's workhorse pair.
Roboto + Roboto Mono — Android ecosystem standard.
SF Pro + SF Mono — Apple ecosystem (system fonts).

Type Scale Recipes

Minimal App Scale (6 sizes)

css
--text-sm: 0.875rem;    /* 14px — captions, helper text */
--text-base: 1rem;      /* 16px — body text */
--text-lg: 1.125rem;    /* 18px — large body, card titles */
--text-xl: 1.25rem;     /* 20px — section headings */
--text-2xl: 1.5rem;     /* 24px — page headings */
--text-3xl: 1.875rem;   /* 30px — hero subheading */

Marketing Page Scale (9 sizes)

css
--text-sm: 0.875rem;    /* 14px */
--text-base: 1rem;      /* 16px */
--text-lg: 1.125rem;    /* 18px */
--text-xl: 1.25rem;     /* 20px */
--text-2xl: 1.5rem;     /* 24px */
--text-3xl: 1.875rem;   /* 30px */
--text-4xl: 2.25rem;    /* 36px */
--text-5xl: 3rem;       /* 48px */
--text-6xl: 3.75rem;    /* 60px — hero headline */

Fluid Type Scale

css
--text-base: clamp(1rem, 0.5rem + 0.75vw, 1.125rem);
--text-lg: clamp(1.125rem, 0.75rem + 1vw, 1.25rem);
--text-xl: clamp(1.25rem, 0.5rem + 2vw, 1.5rem);
--text-2xl: clamp(1.5rem, 0.5rem + 2.5vw, 2.25rem);
--text-3xl: clamp(1.875rem, 0.5rem + 3.5vw, 3rem);
--text-display: clamp(2.25rem, 0.5rem + 5vw, 4.5rem);

Line-Height Rules

Size	Line-Height	Use
12-14px	1.5-1.6	Small text, captions
16-18px	1.5	Body text (golden standard)
20-24px	1.3-1.4	Subheadings
30-48px	1.1-1.2	Headings
48px+	1.0-1.1	Display/hero text

Rule: As size increases, line-height decreases. Large text needs tighter leading.

Letter-Spacing Rules

Body text: 0 (default tracking)
Small text (< 14px): +0.01-0.02em (slightly open for readability)
Headings (> 24px): -0.01 to -0.02em (tighten for visual density)
Display (> 48px): -0.02 to -0.04em (tight for impact)
ALL CAPS labels: +0.05 to +0.1em (open for legibility)
Monospace: 0 (fixed-width handles spacing)

Routing

For choosing a pairing — 105 pairings across seven categories (minimal/modern, premium/editorial, friendly/warm, corporate/enterprise, creative/expressive, monospace, serif-only) plus the decision matrix: read references/font-pairing-catalog.md.

For building the scale — type scale theory, complete scale recipes, line-height by size, letter-spacing adjustments, measure, and responsive scaling strategies: read references/type-scale-systems.md.

For shipping the fonts — system stacks per platform, web-safe fallback chains, variable font technology, loading strategies, performance, and 2025 format support: read references/platform-font-stacks.md.

Cross-References

ui-visual-design-system — Typography system theory
visual-design-mastery — Typography scoring and mastery
design-token-presets — Typography tokens in presets
platform-visual-standards — Platform-specific font stacks

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 Typography Pairing Recipes AI skill do?

Why use Typography Pairing Recipes on TypingMind?

Because you install it once and use it with any model. Typography Pairing Recipes 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 Typography Pairing Recipes in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/phazurlabs/sumi/tree/main/skills/typography-pairing-recipes. 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 Typography Pairing Recipes?

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 Typography Pairing Recipes?

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

Is the Typography Pairing Recipes AI skill free?

Yes. It is published on GitHub by phazurlabs under the Apache-2.0 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

Typography Pairing Recipes — 100+ Font Combinations

Pairing Principles

Font Classification Quick Reference

Top 20 Pairings (Curated)

Minimal/Modern

Premium/Editorial

Friendly/Warm

Corporate/Enterprise

Type Scale Recipes

Minimal App Scale (6 sizes)

Marketing Page Scale (9 sizes)

Fluid Type Scale

Line-Height Rules

Letter-Spacing Rules

Routing

Cross-References

Bundled files

Frequently asked questions

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