Type Specimen logo

Type Specimen

Community
glebis
type-specimen

Build a browsable type specimen that sets candidate typefaces in the product's own words, so a font is chosen against real copy rather than "Hamburgefonstiv". Loads families from Google Fonts, shows a weight ladder, prose, a data table, list rows, small caps, glyph coverage and variable axes per family, measures WCAG and APCA for the chosen background/text pair, and lets any specimen text be edited in place — one edit, every family. Use when picking a typeface, comparing shortlisted fonts, checking a font's Cyrillic or symbol coverage, or proving a font works for a specific interface before it enters the token set. Triggers on choose a font, pick a typeface, compare fonts, type specimen, font shortlist, does this font have Cyrillic, font pairing, which font for this dashboard, шрифтовой стенд, выбрать шрифт.

Overview

Publisherglebis
Repositoryhumane-agentic-design
Skill nametype-specimen
Stars
38
Forks
3
Bundled files
14
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.

  • 14 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 Type Specimen 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/type-specimen
  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/type-specimen .claude/skills/type-specimen
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Type Specimen 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 Type Specimen 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 Type Specimen 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.

type-specimen

Announce at start: "I'm using the humane:type-specimen skill to pick a typeface against the product's own copy."

Choosing a typeface from a foundry's own specimen tells you the font can be made to look good. It does not tell you whether your numbers align in your table at your size. This skill builds a single self-contained HTML page that sets every shortlisted family in the copy the product actually ships — the same headline, the same price column, the same empty-state sentence — so the comparison is between candidates doing the real job.

The page is standalone: one HTML file, no build step, no dependencies. Families load from the Google Fonts CSS API at view time.

Where output goes

The built specimen page and its specimen.json go in .design/specimen-<name> — the setup setting, defaulting to corpus_root. Pass -o to put them elsewhere; never let them default to the current working directory, which writes into whatever tree the agent happens to be standing in. setup/references/paths.md owns the full table.

Quick reference

You want toRun
Start a specimenscripts/specimen init -o spec.json --locale ru --context "..."
Feed it the briefscripts/specimen texts spec.json --from-file README.md
See what still needs writingscripts/specimen texts spec.json
Write a slotscripts/specimen texts spec.json --set headline="..."
Validate without buildingscripts/specimen check spec.json
Build and open itscripts/specimen build spec.json

Config field reference: references/config.md.

The flow

1. Take the brief

Ask what the type is for, in one or two sentences: the product, the surface (dashboard, receipt, marketing page), the reading distance, and the scripts it must cover. Store it — --context for a sentence, --from-file for a README, a spec, or a page of real product copy.

The brief is stored in the config and never shipped to the built page. It is for whoever writes the copy, and a specimen often gets shared before the product is announced.

2. Write the ten slots from real copy

The page renders ten text slots. Each has a fixed shape, enforced by specimen check:

SlotShapeWhat it has to prove
displayone lineThe largest thing on the screen, at its real length
timerone lineFigures — lining, tabular, and whether they align
headlineone lineA heading in its real register
weightsone lineOne phrase repeated down the weight ladder
prosemany linesA paragraph at reading size, set in columns
capsone lineUppercase, and whether small caps exist
rowsmany lines, name :: valueLabel/value pairs, right-aligned
tablemany lines, 3 :: cellsA real data row
tableHeadone line, 3 :: cellsThe column labels above it
alphabetmany linesEvery script the product ships

Take the strings from the product, not from your head. A specimen written in invented copy tests an invented product. Where ux-writing owns a string, use its wording verbatim; where the product exists, lift from the interface. If neither is available, say so in the handoff rather than passing invention off as evidence.

Two rules that decide whether the page is useful:

  • Longest realistic, not average. A price column proves nothing at 9 ₽. Set the widest figure the product can produce, because that is the one that breaks the layout.
  • The alphabet slot must cover every script. A Cyrillic product whose specimen shows only Latin has tested half the font. scriptRange makes the page flag families that ship without the script — set it (U\+04 for Cyrillic; --locale ru does this for you) or the badge never appears.

3. Choose the families

One family per line, name :: group :: note. Names must match the Google Fonts catalogue exactly — a typo produces a "failed to load" badge, not an error. group filters the grid and must be declared in groups; note is for the foundry or whatever else you need to remember at a glance.

Six to ten candidates is the working range. Past that the grid stops being a comparison and becomes a catalogue, which is the thing you were trying to escape.

4. Build, then judge in the page

scripts/specimen build spec.json writes the HTML and serves it on 127.0.0.1. It serves rather than opening a file:// URL on purpose: the share link is copied via the clipboard API, which a file:// page does not get.

In the page:

  • Edit any specimen text in place. Click a line inside any card, type, then Tab or click away. Escape reverts. The edit writes back to the single source of truth, so it lands in every family at once — the point being that you compare families, never accidentally compare copy. Table and row cells edit one cell at a time; everything else edits whole.
  • Set the real background and text colours before judging anything. A typeface reads differently at a different contrast, and the panel reports WCAG and APCA for the pair as you go.
  • Expand a card for prose, tables, glyph coverage and variable axes. The collapsed card answers only "is this worth a look".
  • Copy link encodes the whole state in the URL, so a shortlist can be sent to someone else exactly as you left it.

5. Hand off

A chosen family is a token, not a note in a document. Hand the name and the weights you actually used to design-tokens, which owns the token set from that point on. If the pair you chose failed the contrast bar, that is design-tokens' tokens contrast to resolve — do not fix it by eye in the specimen and call it done.

Honesty guards

  • A specimen is evidence, not a verdict. It shows how families behave in the product's copy. It cannot tell you which is right, and neither can this skill — report what differed and let the person choose.
  • Do not rank families on a score. There is no number here. If you find yourself writing "Onest: 8/10", you are inventing precision the page did not measure.
  • Never claim coverage you did not look at. The glyph-coverage grid tests the characters in glyphSets and nothing else. A family that passes there may still be missing something you never asked about — say which sets were checked.
  • A "failed to load" badge is not a judgement of the font. It usually means the name does not match the catalogue. Check the spelling before reporting a family as unavailable.
  • The contrast readout describes the pair you set, not the page. Change the background and it changes. Cite the colours alongside the number or the number means nothing.

Claude Code extras: with the humane plugin installed the specimen sits between humane:jtbd (who reads this, and where) and humane:design-tokens (where the chosen family lands). Slot copy should come from humane:ux-writing rather than being written fresh here, and a built page is a reviewable artifact — hand it to humane:respondent-panel when you want to know how the type lands rather than whether it is correct.

Conflicts

The user's explicit words win, then this skill's rules, then the project's existing system, then taste. If the project already has a typeface in its tokens, say so and build the specimen with it included as a baseline rather than quietly proposing a replacement.

Tests

bash
cd humane/skills/type-specimen && python3 -m pytest tests/ -q

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 Type Specimen AI skill do?

Build a browsable type specimen that sets candidate typefaces in the product's own words, so a font is chosen against real copy rather than "Hamburgefonstiv". Loads families from Google Fonts, shows a weight ladder, prose, a data table, list rows, small caps, glyph coverage and variable axes per family, measures WCAG and APCA for the chosen background/text pair, and lets any specimen text be edited in place — one edit, every family. Use when picking a typeface, comparing shortlisted fonts, checking a font's Cyrillic or symbol coverage, or proving a font works for a specific interface before...

Why use Type Specimen on TypingMind?

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

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

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 Type Specimen?

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

Is the Type Specimen 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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