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Typography

Community
glebis
typography

Review or mechanically format English and Russian text for microtypography, protected word pairs, punctuation and symbol artifacts, and spelling while keeping editorial choices separate from safe corrections. Use when polishing prose or UI copy after the wording is settled, or when an agent-generated draft contains suspicious dashes, symbols, spacing, or Markdown residue. Triggers on typography, microtypography, typographic cleanup, nonbreaking spaces, protected pairs, punctuation cleanup, spelling pass, editorial pass, LLM artifacts, smart quotes, Russian typography, английская типографика, русская типографика, неразрывные пробелы, редактура текста.

Overview

Publisherglebis
Repositoryhumane-agentic-design
Skill nametypography
Stars
38
Forks
3
Bundled files
6
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.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Typography 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.
    https://github.com/glebis/humane-agentic-design/tree/main/humane/skills/typography
  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/glebis/humane-agentic-design.git /tmp/humane-agentic-design
mkdir -p .claude/skills
cp -r /tmp/humane-agentic-design/humane/skills/typography .claude/skills/typography
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Typography 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 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 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

Announce at start: "I'm using the humane:typography skill to separate safe typographic corrections from editorial choices."

Polish text without taking authorship away from its author. This skill owns mechanical microtypography and an editorial/spelling review. It may apply only corrections whose meaning, voice, and cadence do not change; everything else is a proposal.

Boundary

ConcernOwner
What a string says, its vocabulary, voice, and purposeux-writing
Nonbreaking spaces, protected pairs, quote/dash/space mechanics, obvious symbol residuetypography
Typeface selection and script coveragetype-specimen
Text measure, truncation, wrapping, and whether translated copy fitslayout-rules
Product terminology or a disputed spelling fixed by a house dictionaryThe project's style guide; flag the conflict

Do not rewrite for concision, vary repeated words, remove sentence fragments, or reduce dash frequency under the label “cleanup.” Those are authorial choices.

Establish the contract

Before recommending a rule that differs by language or standard, establish:

  1. Language: English, Russian, or named spans of each in mixed text.
  2. Standard: the project's house style if one exists; otherwise the named editorial/typographic standard (for example Chicago or New Hart's Rules for English; Lopatin, Milchin, or a publisher's house style for Russian).
  3. Medium: plain text, Markdown, interface string, HTML source, or print.

Read nearby content, localization metadata, and the project style guide first. If language or standard is unstated and the answer would materially change a recommendation, ask the user before making that recommendation. Do not silently choose US vs British spelling, quote style, serial-comma policy, Russian ё policy, dash convention, or how aggressively short words are protected. If the distinction cannot affect the requested mechanical check, continue and state the narrow assumption instead of asking ceremonially.

For mixed-language text, apply each language's rules only inside the span whose language is known. Never normalize a quoted title, command, URL, code span, identifier, captured user quote, or brand spelling merely because it looks foreign.

Quick reference

NeedRead
English spacing, protected pairs, quotes, dashesenglish.md
Russian spacing, protected pairs, quotes, dashesrussian.md
Mechanical vs editorial decisions, spelling, artifact triage, report shapeeditorial-pass.md

Read only the language reference that applies. Read both for mixed-language text, and label the boundaries used.

Pass 1 — Mechanical corrections

Inspect the smallest complete source that preserves context. Protect code, URLs, file paths, identifiers, Markdown destinations, placeholders, template syntax, and verbatim quotations from automated replacement.

Classify a change as mechanical only when there is one valid correction under the established contract and no plausible shift in meaning or voice. Typical mechanical work includes:

  • required nonbreaking spaces and protected pairs;
  • spaces around punctuation and symbols under the chosen language standard;
  • unambiguous quote, apostrophe, dash, ellipsis, multiplication-sign, degree, number/unit, №, and § corrections;
  • invisible or damaged Unicode such as zero-width residue, a replacement character, or a literal escaped Unicode sequence accidentally shown to a reader;
  • orphan Markdown emphasis markers or duplicated punctuation only when the intended character is unambiguous.

The bundled helper provides a repeatable first pass and never writes source files:

bash
python3 scripts/typography.py check --language en --standard chicago path/to/text.md
python3 scripts/typography.py format --language ru --standard lopatin path/to/text.md

Use - for stdin. check emits a structured report; format emits corrected text to stdout. Review its output before applying a patch. The helper is a conservative detector, not an editorial authority: a clean run does not prove the prose is correct. Its deliberately closed standard list is chicago, new-harts, or ap for English and lopatin, milchin, or gost for Russian; apply a project's custom house style in the human review rather than inventing a CLI token for it.

Pass 2 — Editorial and spelling review

Read editorial-pass.md. Report these separately from the mechanical pass:

  • spelling that depends on locale, house dictionary, ё, a proper name, or product terminology;
  • punctuation with more than one defensible reading;
  • sentence rhythm, fragments, repetition, paragraphing, tone, and dash density;
  • suspicious LLM habits that may be intentional: symmetrical three-part lists, generic transitions, excessive headings, rhetorical contrasts, emoji, arrows, or repeated em dashes.

Offer a small set of concrete alternatives and explain the effect of each. Never apply one until the user chooses it or has already authorized that class of editorial change.

Output contract

Always begin with Context: language, standard, medium, protected regions, and assumptions.

For a formatting or apply request, keep Mechanical corrections (Location | Before | After | Rule) and Editorial choices (Location | Current | Options | Decision needed) in separate sections. “None” is valid; do not invent choices to fill either table. End with Verification: helper command run, sources inspected, and anything not verified.

For a standalone review, use the repository's shared review contract:

  1. Findings — one table with Severity | Location | Before | After | Why and an added Category column whose value is Mechanical or Editorial choice. The category keeps the two classes separate without producing two reports. For an editorial choice, After contains the options, not a silent rewrite. Cap at 15 and never pad.
  2. Considered but Rejected — two to five real candidates and why they were left alone.
  3. Verification — what was actually checked; name any missing dictionary, house guide, language boundary, or runtime rendering check.
  4. Verdict — exactly Block, Needs changes, or Approve.

Under humane:review, return only findings in the orchestrator's required shape; its severity scale, consolidation, cap, and verdict win.

When the user asked for a review, remain read-only. When the user asked to apply fixes, apply the mechanical section only, then pause on unresolved authorial choices. Preserve the original file format and line endings.

Safety and honesty

  • A nonbreaking-space policy is not universal. Protect only pairs justified by the selected language, standard, and medium.
  • “Looks AI-generated” is not a defect and cannot be inferred from punctuation. Report only the observable pattern and its reading cost.
  • Never claim a full spelling check without the relevant dictionary or house word list. Name what was checked manually.
  • Never normalize code-like content or external quotations without explicit authorization.
  • The user's explicit words > the selected standard > the project's existing system > this skill's defaults > personal taste. Surface conflicts.

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 AI skill do?

Review or mechanically format English and Russian text for microtypography, protected word pairs, punctuation and symbol artifacts, and spelling while keeping editorial choices separate from safe corrections. Use when polishing prose or UI copy after the wording is settled, or when an agent-generated draft contains suspicious dashes, symbols, spacing, or Markdown residue. Triggers on typography, microtypography, typographic cleanup, nonbreaking spaces, protected pairs, punctuation cleanup, spelling pass, editorial pass, LLM artifacts, smart quotes, Russian typography, английская типографика...

Why use Typography on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/glebis/humane-agentic-design/tree/main/humane/skills/typography. 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?

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?

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

Is the Typography AI skill free?

Yes. It is published on GitHub by glebis 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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