brand-identity-skill

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SUMMARY

A Claude Code skill that designs a brand identity as one system: logo, typography and colour palette built together from one brief, measured, compared as identity cards, and delivered as a brand guidelines kit.

README.md
brand-identity logo

brand-identity

Tests
Release
License: MIT

A skill for Claude Code that designs a brand identity as one system: logo, typography and colour palette built
together from one idea
, measured, shown side by side as identity cards, and handed over as a brand guidelines kit
for the set you pick.

24 logos for 24 different brands, all made by the skill

Twenty-four briefs, one direction shown from each: a light festival in Lyon, a taquería in Mexico City, a
pharmacy in Athens, a techno label in Berlin, a floating sauna in Oslo, a children's dentist, a weeding-robot
start-up, a honey co-op on the Black Sea and more. Mascots, emblems, monograms, stencils and plain wordmarks; every
mark, typeface and colour above came out of a run of this skill.

A short animated walk-through of the skill

What you get · Examples · Install · Use ·
How it works · Network and privacy · Develop

What you get

  • Three (up to four) identity sets, each built around a single mechanism that produces the mark, the type choice
    and the palette at once, so the parts belong together instead of being picked separately.
  • Measured, not asserted. Contrast (WCAG 2 and APCA), colour-blindness simulation, glyph coverage for the
    languages the brand writes in, font licences, tabular figures, and the logo rendered at 16 and 32 px. A failed
    measurement is a gate the set must pass; a heuristic is labelled as a warning; taste is labelled as judgement.
  • Sets that don't look like every other AI brand. The skill knows what plain models reach for and asks for a
    reason from the brief whenever a set uses it (below).
  • A brand guidelines kit for the chosen set: an 8-page PDF (cover, idea, logo, variations, logo on colour and
    misuse drawn for this mark, colours, typography, applications; --full adds grid, dark mode, accessibility,
    iconography and imagery for 13), logo files (SVG and PNG: full colour, one colour, reversed, app icon, favicon), design tokens (CSS,
    SCSS, Tailwind, DTCG JSON) and a font sheet with embed code.
  • Your site, restyled. Give it a URL and it reads the current logo, type and colours, then previews each set on
    your own pages. Keep the parts you like (keep), evolve others (refresh).
  • Any part on its own: just a logo, just a type system, a palette for an existing logo, or a critique of an
    identity you already have.

Examples

Fernhill Books: an independent bookshop and small press in Edinburgh

Brief: literate, unhurried, wry. Competitors: a national chain in navy and white, a second-hand shop with a gilt
sign, an online marketplace.

Three directions for Fernhill Books with the comparison table

A · Manicule (recommended, picked): the pointing hand readers drew in margins is the mark, Literata carries both
display and text, and the palette is press black with one rubric red. B · Full Stop: a quiet lowercase name that
ends on a blue proofreader's full stop. C · Close: an Old Town passage under a tenement, on a dark ground.

Kit: cover Kit: typography
Kit cover Typography page

Tessellate: an open-source data pipeline orchestrator

Brief: precise, calm, candid; the product shows run times and costs, so figures must be tabular. Competitors: an
established scheduler with a pinwheel logo, two start-ups in purple and teal.

Three directions for Tessellate with the comparison table

A · Truchet Tile (recommended, picked): one tile cut by two quarter arcs that join any neighbour however it is
turned, the way steps of a pipeline meet. B · Readable Run: a text serif wordmark whose first t carries a
duration bar. C · Night Floor: two L-pieces lock into one square, dark-first.

Kit: logo on colour, and misuse specific to this mark Kit: applications
Logo on four grounds with contrast ratios, and six misuses Site header, business card, avatar and app icon

More runs

Brief Languages Directions (recommended first)
Molino Coffee, a specialty coffee shop in Lisbon en, pt Vizinho · Mó · Bloco
Hartwell & Oduya, a commercial law firm in London en The Bar Between · Equal Measure · Counterparts
Parallax Labs, AI planning agents for supply chains en Depth Field · Parallax Error · Computation Pad
Domaine Fauvel, a natural wine estate in Burgundy en, fr La Taille · Climat · Fauve
Moonvault, a self-custody crypto wallet en Held Moon · Two O's · Lamp Arcade
Hasat, a Turkish breakfast restaurant in Istanbul tr, en Tepeleme · Demli · Uzun Sofra

Install

Claude Code plugin (recommended):

/plugin marketplace add fatihaydost/brand-identity-skill
/plugin install brand-identity@brand-identity-skill

Or as a plain skill, from the brand-identity.zip of the
latest release (unzip it into
~/.claude/skills/), or from a clone:

git clone https://github.com/fatihaydost/brand-identity-skill
mkdir -p ~/.claude/skills
ln -s "$PWD/brand-identity-skill/skills/brand-identity" ~/.claude/skills/brand-identity

Requirements: Python 3.10+, a Chromium-based browser (Chrome, Chromium, Edge or Brave) and, ideally,
uv. With uv the scripts install their own Python packages (fonttools, uharfbuzz,
skia-pathops) into a cached environment on first use; nothing to pip install. Run
python3 skills/brand-identity/scripts/brand.py check to see what is missing. Tested end to end on Linux, including
a clean container; unit tests run in CI on Linux, macOS and Windows.

Other hosts. The skill is a standard SKILL.md folder, so agents that read Agent Skills can load
skills/brand-identity; it is tested end to end in Claude Code. In claude.ai chat the code sandbox does not allow
Google Fonts by default, so type measurement and rendering fail there; use Claude Code.

Use

Ask Claude Code in plain words:

  • "Logo, fonts and colours for a specialty coffee roaster in Lisbon."
  • "New type and palette for https://example.com, keep the logo."
  • "Just a type system for my newsletter."
  • "Critique our brand identity."

It asks one round of questions (what to make, how many sets, languages, competitors), builds the sets, shows the
board and stops for you to pick. It never picks for you. Then it builds the kit for your choice, or for a mix
("logo from A, palette from B").

A full run to the board takes about 40 agent turns and roughly 0.9 M billed-input-equivalent tokens (measured on six
briefs; see testing).

Why the sets don't look like every other AI brand

Asked for a brand identity, plain models converge: cream ground, terracotta, a gold accent, Fraunces headings, Inter
body text, a logo that hides a letter in a circle. The skill knows these defaults and asks for a reason from the
brief whenever a set uses one; at least one set per run uses none. On the same six briefs:

AI-default hits (type and palette) sets with none
Plain model, 24 answers 4.38 per answer 0 of 24
brand-identity, 18 sets 0.28 per set 13 of 18

Method and data: docs/testing.md.

How it works

flowchart LR
  Q[One round of questions] --> S[sets.json<br/>mechanism, mark, type, palette seeds]
  S --> L[logos<br/>contact sheet at 16 and 32 px]
  L -->|fix one defect per mark, twice| S
  S --> B[build<br/>palette roles, audits, cards, board]
  B -->|a gate failed| S
  B --> P{You pick}
  P --> K[kit<br/>PDF, logo files, tokens, font sheet]

The agent designs; the scripts measure. Gates (contrast, licence, glyph coverage, file validity, renders) stop a set
until it is fixed; warnings are heuristics and say so. Architecture: docs/architecture.md.
Tests (unit, smoke, rendered-output probes, end-to-end runs): docs/testing.md.

Network and privacy

The skill runs locally. It contacts:

  • Google Fonts (fonts.googleapis.com, fonts.gstatic.com) and the
    google/fonts repository on raw.githubusercontent.com, to download fonts and
    their metadata and licences for measurement and rendering;
  • PyPI, through uv, once, for its Python packages;
  • your site and the competitor sites you name, opened in a headless browser, only when you give their URLs.

No telemetry; nothing is uploaded. The brand's fonts are never subset or redistributed: the kit links to them and
gives embed code. Licences are checked per family (OFL by default; Fontshare and commercial faces get a licence note).

Develop

pip install -r requirements-dev.txt     # requirements.txt + gflanguages (checks the bundled language data)
python3 -m unittest discover -s tests
python3 tools/smoke_test.py
python3 tools/package_skill.py          # dist/brand-identity.zip
skills/brand-identity/   the skill: SKILL.md, references/, scripts/, templates/, assets/
tools/                   smoke test, packager, run measurement, AI-defaults experiment, catalogue builders
tests/                   unit tests
evals/                   behaviour evals and fixtures
docs/                    architecture, testing, images

Licence

MIT, see LICENSE. Adapted code and bundled data: THIRD_PARTY_NOTICES.md. Brand
names and measured site colours belong to their owners: TRADEMARKS.md. The example briefs in this
README were invented for it; any likeness to a real business is coincidental.

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