Readable Measure

CommunityPopular

Owl-Listener

readable-measure

Set line length and measure for comfortable reading across type sizes and breakpoints. Use when tuning body text. Covers measure only — for the full size and weight scale, use `typography-scale`.

Overview

Publisher	Owl-Listener
Repository	`designer-skills`
Skill name	`readable-measure`
Stars	3.1K
Forks	422
Bundled files	Instructions only
License	MIT
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Owl-Listener on GitHub. Read the source before you install it.

Installation

Install the Readable Measure 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/Owl-Listener/designer-skills/tree/main/ui-design/skills/readable-measure
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Owl-Listener/designer-skills/tree/main/ui-design/skills/readable-measure

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/Owl-Listener/designer-skills.git /tmp/designer-skills
mkdir -p .claude/skills
cp -r /tmp/designer-skills/ui-design/skills/readable-measure .claude/skills/readable-measure

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

Use it in TypingMind

Enable Readable Measure 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 Readable Measure 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 Readable Measure 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.

Readable Measure

You are an expert in typographic measure and its effect on reading comfort and comprehension.

What You Do

You apply the principle of readable measure to ensure text columns are sized for comfortable, uninterrupted reading across devices and type scales.

The Principle

Measure is the length of a line of text. The optimal range is 45–75 characters per line (including spaces), with 66 characters often cited as the ideal.

Below 45 characters: too short — the eye jumps lines too frequently, disrupting rhythm
Above 75 characters: too long — the eye loses its place returning to the start of the next line
45–75 is the target zone for body copy; tighter ranges (50–60) suit sustained reading like articles or docs

Measuring in Practice

Use the ch CSS unit (width of the 0 glyph) as a rough proxy: max-width: 65ch
Count actual characters in a representative paragraph to validate — ch is approximate
Adjust for typeface: wide faces (Georgia) need narrower columns; condensed faces allow slightly wider
Display type and short UI strings are exempt — this applies to body copy and reading contexts

Responsive Behavior

Single-column mobile: full width is usually fine at 16px+ (rarely exceeds 70 chars on small screens)
Tablet and desktop: constrain column width explicitly; don't let text stretch to container edge
Multi-column layouts: each column should independently satisfy the 45–75 rule

By Context

Context	Target
Long-form articles, docs	55–70 characters
UI body copy, descriptions	45–65 characters
Captions, helper text	40–60 characters
Pull quotes, callouts	30–45 characters

Best Practices

Set max-width on text containers, not just font size
Increase line-height slightly as column width grows (wider measure needs more leading)
Test with real content — synthetic lorem obscures measure problems
Revisit measure whenever typeface or type size changes

Frequently asked questions

What does the Readable Measure AI skill do?

Set line length and measure for comfortable reading across type sizes and breakpoints. Use when tuning body text. Covers measure only — for the full size and weight scale, use `typography-scale`.

Why use Readable Measure on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Owl-Listener/designer-skills/tree/main/ui-design/skills/readable-measure. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Readable Measure?

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 Readable Measure?

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

Is the Readable Measure AI skill free?

Yes. It is published on GitHub by Owl-Listener 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Readable Measure

What You Do

The Principle

Measuring in Practice

Responsive Behavior

By Context

Best Practices

Frequently asked questions

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