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Typeset

CommunityPopular
fengshao1227
typeset

Improves typography by fixing font choices, hierarchy, sizing, weight, and readability so text feels intentional. Use when the user mentions fonts, type, readability, text hierarchy, sizing looks off, or wants more polished, intentional typography.

Overview

Publisherfengshao1227
Repositoryccg-workflow
Skill nametypeset
Stars
5.9K
Forks
446
Bundled files
Instructions only
LicenseMIT
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by fengshao1227 on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/fengshao1227/ccg-workflow.git /tmp/ccg-workflow
mkdir -p .claude/skills
cp -r /tmp/ccg-workflow/templates/skills/impeccable/typeset .claude/skills/typeset
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Typeset 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 Typeset 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 Typeset 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.

Assess and improve typography that feels generic, inconsistent, or poorly structured — turning default-looking text into intentional, well-crafted type.

MANDATORY PREPARATION

Invoke /frontend-design — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run /teach-impeccable first.


Assess Current Typography

Analyze what's weak or generic about the current type:

  1. Font choices:

    • Are we using invisible defaults? (Inter, Roboto, Arial, Open Sans, system defaults)
    • Does the font match the brand personality? (A playful brand shouldn't use a corporate typeface)
    • Are there too many font families? (More than 2-3 is almost always a mess)
  2. Hierarchy:

    • Can you tell headings from body from captions at a glance?
    • Are font sizes too close together? (14px, 15px, 16px = muddy hierarchy)
    • Are weight contrasts strong enough? (Medium vs Regular is barely visible)
  3. Sizing & scale:

    • Is there a consistent type scale, or are sizes arbitrary?
    • Does body text meet minimum readability? (16px+)
    • Is the sizing strategy appropriate for the context? (Fixed rem scales for app UIs; fluid clamp() for marketing/content page headings)
  4. Readability:

    • Are line lengths comfortable? (45-75 characters ideal)
    • Is line-height appropriate for the font and context?
    • Is there enough contrast between text and background?
  5. Consistency:

    • Are the same elements styled the same way throughout?
    • Are font weights used consistently? (Not bold in one section, semibold in another for the same role)
    • Is letter-spacing intentional or default everywhere?

CRITICAL: The goal isn't to make text "fancier" — it's to make it clearer, more readable, and more intentional. Good typography is invisible; bad typography is distracting.

Plan Typography Improvements

Consult the typography reference from the frontend-design skill for detailed guidance on scales, pairing, and loading strategies.

Create a systematic plan:

  • Font selection: Do fonts need replacing? What fits the brand/context?
  • Type scale: Establish a modular scale (e.g., 1.25 ratio) with clear hierarchy
  • Weight strategy: Which weights serve which roles? (Regular for body, Semibold for labels, Bold for headings — or whatever fits)
  • Spacing: Line-heights, letter-spacing, and margins between typographic elements

Improve Typography Systematically

Font Selection

If fonts need replacing:

  • Choose fonts that reflect the brand personality
  • Pair with genuine contrast (serif + sans, geometric + humanist) — or use a single family in multiple weights
  • Ensure web font loading doesn't cause layout shift (font-display: swap, metric-matched fallbacks)

Establish Hierarchy

Build a clear type scale:

  • 5 sizes cover most needs: caption, secondary, body, subheading, heading
  • Use a consistent ratio between levels (1.25, 1.333, or 1.5)
  • Combine dimensions: Size + weight + color + space for strong hierarchy — don't rely on size alone
  • App UIs: Use a fixed rem-based type scale, optionally adjusted at 1-2 breakpoints. Fluid sizing undermines the spatial predictability that dense, container-based layouts need
  • Marketing / content pages: Use fluid sizing via clamp(min, preferred, max) for headings and display text. Keep body text fixed

Fix Readability

  • Set max-width on text containers using ch units (max-width: 65ch)
  • Adjust line-height per context: tighter for headings (1.1-1.2), looser for body (1.5-1.7)
  • Increase line-height slightly for light-on-dark text
  • Ensure body text is at least 16px / 1rem

Refine Details

  • Use tabular-nums for data tables and numbers that should align
  • Apply proper letter-spacing: slightly open for small caps and uppercase, default or tight for large display text
  • Use semantic token names (--text-body, --text-heading), not value names (--font-16)
  • Set font-kerning: normal and consider OpenType features where appropriate

Weight Consistency

  • Define clear roles for each weight and stick to them
  • Don't use more than 3-4 weights (Regular, Medium, Semibold, Bold is plenty)
  • Load only the weights you actually use (each weight adds to page load)

NEVER:

  • Use more than 2-3 font families
  • Pick sizes arbitrarily — commit to a scale
  • Set body text below 16px
  • Use decorative/display fonts for body text
  • Disable browser zoom (user-scalable=no)
  • Use px for font sizes — use rem to respect user settings
  • Default to Inter/Roboto/Open Sans when personality matters
  • Pair fonts that are similar but not identical (two geometric sans-serifs)

Verify Typography Improvements

  • Hierarchy: Can you identify heading vs body vs caption instantly?
  • Readability: Is body text comfortable to read in long passages?
  • Consistency: Are same-role elements styled identically throughout?
  • Personality: Does the typography reflect the brand?
  • Performance: Are web fonts loading efficiently without layout shift?
  • Accessibility: Does text meet WCAG contrast ratios? Is it zoomable to 200%?

Remember: Typography is the foundation of interface design — it carries the majority of information. Getting it right is the highest-leverage improvement you can make.

Frequently asked questions

What does the Typeset AI skill do?

Improves typography by fixing font choices, hierarchy, sizing, weight, and readability so text feels intentional. Use when the user mentions fonts, type, readability, text hierarchy, sizing looks off, or wants more polished, intentional typography.

Why use Typeset on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fengshao1227/ccg-workflow/tree/main/templates/skills/impeccable/typeset. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Typeset?

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 Typeset?

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

Is the Typeset AI skill free?

Yes. It is published on GitHub by fengshao1227 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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