How do I install the Brandkit skill?

Run npx skillmds add majiayu000/brandkit in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Brandkit safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Brandkit?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Brandkit free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Brandkit?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Brandkit by majiayu000 — Agent Skill

Name: Brandkit
Rating: 4.2 (5 reviews)
Author: majiayu000

Brandkit

Generate a complete, accessible brand design system from a brief — primitive → semantic → component DTCG tokens (color, type, spacing, radius, shadow, motion), light + dark, plus a single theme.css — verified for WCAG. Use when the user wants a from-scratch brand/design foundation, a new palette + type system, or a themeable token kit for a product.

majiayu000 8ebac21 2 files · 3.9 KB Updated Sep 9, 2026 567 repo stars

File contents

Skill: Brand Kit

Stand up the foundation (one token system everything renders from) before any screen. Get this right and every page stays consistent and themeable from one place.

Steps

Brief Inference (mandatory) — name the industry, audience, the one mood adjective, and motion depth (taste/design-taste.md → Brief Inference). Pick an anchoring archetype from taste/aesthetic-systems.md.
Primitives — generate the brand color ramp in OKLCH (11 shades, consistent chroma) + a neutral ramp; verify the 500 shade ≥ 4.5:1 on white (text) and 600 ≥ 3:1 (UI) per CLAUDE.md Color Generation.
Semantic layer — map roles to primitives: action.primary/-hover/destructive, text.{primary,secondary,on-action,link}, surface.{page,card,raised}, border.{default,strong}, feedback.{success,warning,error,info} — and the dark overrides (designed, not inverted).
Scales — Major Third type scale + composite text styles, 4px spacing scale, radius tiers, elevation, and tokens/motion.json-style durations/easings.
Emit the DTCG tokens/*.json (3-tier) + a single theme.css (the one shared source, [data-theme="dark"] overrides). Optionally feed the token-build pipeline (token-build skill) for other platforms.

Verification (definition of done)

python3 scripts/validate_tokens.py — valid JSON, all aliases resolve.
python3 scripts/validate_contrast.py — required text/action/border pairs pass WCAG AA in light AND dark; border.strong ≥ 3:1.
python3 scripts/validate_theme_refs.py — every component var(--…) resolves to the theme.
One theme, no per-page palettes; destructive = danger token (not primary); zero hardcoded values.

Output is a verified token foundation — the measurable part is provable (run npm run verify). Brand "feel" still benefits from a human review against taste/design-taste.md.

---name: brandkitdescription: Generate a complete, accessible brand design system from a brief — primitive → semantic → component DTCG tokens (color, type, spacing, radius, shadow, motion), light + dark, plus a single theme.css — verified for WCAG. Use when the user wants a from-scratch brand/design foundation, a new palette + type system, or a themeable token kit for a product.--- # Skill: Brand Kit Stand up the *foundation* (one token system everything renders from) before any screen. Get this right and every page stays consistent and themeable from one place. ## Steps 1. **Brief Inference (mandatory)** — name the industry, audience, the one mood adjective, and motion depth (`taste/design-taste.md` → Brief Inference). Pick an anchoring archetype from `taste/aesthetic-systems.md`. 2. **Primitives** — generate the brand color ramp in **OKLCH** (11 shades, consistent chroma) + a neutral ramp; verify the 500 shade ≥ 4.5:1 on white (text) and 600 ≥ 3:1 (UI) per CLAUDE.md Color Generation. 3. **Semantic layer** — map roles to primitives: `action.primary`/`-hover`/`destructive`, `text.{primary,secondary,on-action,link}`, `surface.{page,card,raised}`, `border.{default,strong}`, `feedback.{success,warning,error,info}` — and the **dark** overrides (designed, not inverted). 4. **Scales** — Major Third type scale + composite text styles, 4px spacing scale, radius tiers, elevation, and `tokens/motion.json`-style durations/easings. 5. **Emit** the DTCG `tokens/*.json` (3-tier) + a single `theme.css` (the one shared source, `[data-theme="dark"]` overrides). Optionally feed the token-build pipeline (`token-build` skill) for other platforms. ## Verification (definition of done) - `python3 scripts/validate_tokens.py` — valid JSON, all aliases resolve. - `python3 scripts/validate_contrast.py` — required text/action/border pairs pass WCAG AA in **light AND dark**; `border.strong` ≥ 3:1. - `python3 scripts/validate_theme_refs.py` — every component `var(--…)` resolves to the theme. - One theme, no per-page palettes; destructive = danger token (not primary); zero hardcoded values. > Output is a verified token foundation — the measurable part is provable (run `npm run verify`). Brand "feel" still benefits from a human review against `taste/design-taste.md`.

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