StyleSeed

Teach your AI fixed design judgment.Not one fixed aesthetic.

Open-source design-method engine for Claude Code · Codex · Cursor — selects the right design grammar or derives one from references, locks project decisions, and verifies the rendered result.

Same product. Same prompt. Only the rules changed.

What it bans on sight

The "AI-generated look" isn't bad luck — it's a list of nameable tells. StyleSeed ships 74 rules that ban them, and a 0–100 scored gate that blocks any screen under 80 from ever reaching you.

Banned Why
Default indigo #4F46E5 / #5E6AD2 accent the universal "an AI made this" color
Emoji as UI icons 🚗 🧺 ⭐ inject random colors, render differently per OS
The icon-in-a-chip above every feature card gen-1 AI tell — decoration pretending to be information
All-even grid of same-weight centered cards the #1 machine-composed tell: no focal point
Pure #000 backgrounds a flat void — real dark UIs use layered ramps
Font sizes outside one fixed table size drift is why screens feel "off" but you can't say why
Hardcoded hex in components tokens only — otherwise the lock can't hold across screens

Banning the defaults isn't enough — agents converge on new uniforms once the old ones are blocked. That's why the rules come with an enforced score-then-fix loop, not a checklist. What happens after install ↓

Easy Start (30 seconds)

1. Open your project in Claude Code, Codex, Cursor, or another coding agent.

2. Paste this message:

Install StyleSeed with `npx skills add bitjaru/styleseed`, then set it up for this project. Ask what I am building and only the design choices you need. Save approved decisions to STYLESEED.md, choose the right output grammar or derive one from my references, and build with one clear focal point. Score the result to at least 80, then render and visually verify it before showing me. Use `/ss-*` in Claude Code or `$ss-*` in Codex; in other agents, use the installed skill picker.

3. Approve the install, answer the short setup questions, and describe what you want to build. StyleSeed handles the design lock, build, code gate, and visual check. No design-system knowledge required.

Agent If you want to run it manually
Claude Code /ss-setup/ss-build
Codex $ss-setup$ss-build or choose them from /skills
Cursor and others Paste the message above or use the installed skill picker

Claude Code guide · Codex guide · See examples · Need help?

One component. Three brand DNAs. Same chat UI morphing across Toss · Raycast · Arc — colors, radius, motion, shadows, gradients all driven by StyleSeed tokens. Just a data-skin attribute.

Skins are inspired-by token sets — brand-flavored color/radius/shadow/motion values, not recreations of those companies' design languages. The layer that restructures the actual design is the presets (/ss-restyle, below).

▶ Live Demo   ▶ Motion Gallery

74 design rules 20 skills 8 output grammars 5 adapters 7 brand skins GitHub stars License Mentioned in Awesome AI Tools for UI

StyleSeed fixes the design method — not one Toss-like aesthetic.

Judgment, not data — how designers think, not a palette collection  ·  Right grammar for the result — consumer service, operations, technical, editorial, commerce, institutional, marketing, or sequential story  ·  References become rules/ss-reference compiles screenshots, URLs, Figma, or an existing UI into an evidence-backed project grammar  ·  Beyond web UI — adapters for product UI, social carousels, decks, documents, and graphics  ·  Fights the AI tells — the default indigo, the icon-chip cliché, template layouts, rainbow lists  ·  Auxiliary proof gates — code score + rendered pixel verification before you see it  ·  Every agent — ships CLAUDE.md + AGENTS.md + .cursorrules  ·  A design lock that stops drift  ·  Free & MIT

Core judgment × output grammar × surface adapter × domain/page × optional profile. Read the architecture →

Full pages: before · after · more before/afters →

🔥 We ran an early version of this page through our own gate. It scored 58/100 → here's the receipt

Same product, six looks — each one /ss-restyle <preset> away. Coherent, distinct, never generic.

Easy Start · Claude Code UI guide · Codex UI guide · Architecture · Engine + Skins · Motion · Skills · Wiki · 한국어


What happens after Easy Start

Why the prompt installs first: the quality gate is the step that makes output stop looking generic — but the ss-score and ss-build skills can only run if they are installed. Point an agent at the rules-URL alone and the "gate" degrades to an honor-system self-check it usually skips. Installing makes the loop real: the lock persists in STYLESEED.md (no drift), and the gate actually scores and fixes before you see anything. Can't install? The URL still teaches the rules — just weaker. Works with Claude Code (CLAUDE.md), Codex / Amp / Gemini CLI (AGENTS.md), and Cursor (.cursorrules) — StyleSeed ships all three. (Planning first is what keeps the result from looking random — see Troubleshooting.)

What your agent actually does with StyleSeed loaded:

you    ▸  build me a billing settings page
agent  ▸  (plan mode) key color? for billing I'd go deep teal — #0F766E, mood: sharp · calm ·
          trustworthy (not the default indigo). Motion: Snap. ok?  ▸ y
agent  ▸  ✓ wrote STYLESEED.md — skin, accent, font, radius, motion locked, re-read every prompt
agent  ▸  building… running the quality gate before I show you anything
gate   ▸  ✗ two accent colors   ✗ "normal" rows colored   ✗ no empty state   → fixing
agent  ▸  ✓ 88/100 — one accent, grey normal states, real empty/error states. here's the page.

The STYLESEED.md lock is the anti-drift mechanic. Your skin, key color, radius, and motion get written once and the rules make every agent re-read and obey them on every prompt — so the design stops being different each session. The Quality Gate then self-reviews and fixes the UI (rainbow lists, two accents, missing states) before you ever see it — and it can retrofit an old generic build too.

The rules are the product — and they need zero install or permissions. They're plain markdown (CLAUDE.md / AGENTS.md / DESIGN-LANGUAGE.md), so the prompt above — or just copying those files in — is 90% of StyleSeed with nothing to approve.

Want the 20 ss-* agent skills too (optional automation: grammar compiler, setup, build, review, score)?

npx skills add bitjaru/styleseed

Installs all 20 skills into Claude Code, Codex, Cursor, Gemini CLI, Amp and more. Then run /ss-setup in Claude Code or $ss-setup in Codex (you can also choose it from Codex's /skills picker). Your agent may ask you to approve tools on first use. No install possible? The rules alone still do the core work.

Your agent, its exact path:

Your agent Reads Fastest install
Claude Code CLAUDE.md + /ss-* skills npx skills add bitjaru/styleseed
Cursor .cursorrules cp engine/.cursorrules .cursorrules — or paste the prompt above
Codex AGENTS.md + $ss-* skills (.agents/skills) npx skills add bitjaru/styleseed
Amp · Gemini CLI AGENTS.md + skills npx skills add bitjaru/styleseed
Windsurf · Copilot · any other the paste-prompt above no install — paste & go

More paths (manual copy, Cursor, awesome-design-md brands) in Install by hand below.


Who is this for?

  • You asked Claude Code or Cursor to build a dashboard and it came out amateur-looking
  • You're vibe coding a SaaS app and don't want to hire a designer
  • You use shadcn/ui but the output still feels generic
  • You want Toss-like consumer refinement only where that grammar fits, not on every output
  • You make social carousels, decks, reports, covers, or other vibe-coded visual artifacts
  • You have references and want their repeatable design language extracted instead of cloned
  • You're building a Claude Code skill or Cursor rules setup for design
  • You ship fast with AI and need professional UI that doesn't look AI-generated

Where StyleSeed fits among design-AI skills

There are lots of "help your AI design" projects now. Most solve a slice. StyleSeed is the one that targets the whole "looks AI-generated" problem — and enforces the fix.

StyleSeed Brand / DESIGN.md collections "Make-it-prettier" skills UI generators (Claude Design, v0…)
Teaches design judgment (how designers think) ❌ data only ⚠️ a few tips
Fights the AI-look itself — default indigo, icon-chip cliché, template layouts, rainbow lists
Scored Quality Gate — reviews + fixes the UI before you see it
Anti-drift design lock — decisions persist across sessions
Works across every agent (Claude Code · Cursor · Codex · Amp · Gemini) ⚠️ ⚠️ ❌ one tool
Brand skins + named motion system ⚠️ colors only ⚠️
Free & MIT usually freemium

They're not all competitors — a DESIGN.md gives StyleSeed a skin; a generator gives it a first draft. StyleSeed is the judgment + enforcement layer the others don't have.

What it actually enforces (a taste)

The kind of specific, named calls a senior designer makes without thinking — written down so an AI applies them every time:

  • The refined black is #2A2A2A, not #000 — a 5-step grayscale ramp, never pure black
  • One accent, everything else greyscale — the single-accent law; a second hue is the fastest "un-designed" tell
  • Numbers 2:1 with their unit — a 48px value over a 24px unit; equal sizes flatten magnitude into noise
  • Nested-radius law: inner = outer − padding — concentric corners, so a card and its inner button agree
  • Layered, low-opacity shadows (≤8%) lit from one direction — not one hard drop shadow
  • Tabular numbers for anything that updates — no width jitter as values change
  • Status color = severity only — a "normal" row is grey; color marks the exception, never a rainbow list
  • No emoji icons, and no Lucide-in-a-pale-chip on every card (§CC-9b) — the two opposite AI icon tells
  • 8px spatial grid; gap-around-a-group > gap-inside it — proximity that reads as structure
  • Optical, not pixel, alignment — nudge arrows/play glyphs; center type by cap-height
  • Desktop body ≥16px, one focal point per screen — the tight mobile scale and an all-even grid both read "machine-made"
  • One radius personality · one icon set · one shadow language — the coherence laws (§C0), the #1 fix for "looks AI-generated"
  • Motion scoped by surface — a dashboard stays calm; a landing page gets the Cinematic tier (scroll-linked reveals, 3D hero, animated gradients — the Stripe/Linear playbook). Scroll-jacking is still banned everywhere (§43)

See all 74 rules → · the craft & coherence laws →

Data vs Judgment

Every "help LLMs design better" project solves the wrong half of the problem. They feed the model more design data — brand palettes, font specs, shadow tokens, component libraries. I tried that first. Dumped Toss's entire design token JSON into my prompts. The output was still generic.

Then it hit me: a junior designer with Toss's palette still ships ugly dashboards. A senior designer with only grayscale ships something refined. The difference isn't what they have. It's what they know to do with it.

Design data is the paint. Design judgment is knowing where to put it.

See the before/after → — the same dashboard brief, generated generically vs. with the 74 rules applied. Every fix annotated with the rule behind it.

StyleSeed is a design-method engine — 74 craft rules, 8 output grammars, 5 surface adapters, 48 components, a reference compiler, a named motion system, and 20 agent skills:

"The most refined black isn't #000 — it's #2A2A2A"
"One accent color in the entire app. Everything else grayscale. Restraint is elegance."
"Shadows at 4% opacity. If you can see it, it's already too much."
"Numbers and units at 2:1 ratio. 48px number, 24px unit. Always."
"Never repeat the same section type twice. Alternate tall and compact for rhythm."
"Card/background separation matters more than any border."

Nobody writes these down. They're baked into years of experience — invisible to outsiders, invisible to LLMs. StyleSeed writes them down, organizes them into six categories (color discipline, spatial rhythm, information hierarchy, shadow/elevation, component variance, motion/feedback), and hands them to Claude as a single markdown file it reads automatically.

The rules are brand-agnostic — they don't reference specific colors, only semantic tokens. Which means the same rulebook works whether your app looks like Toss, Vercel, or your client's weird purple brand. Swap the skin, the judgment carries over.

Works with Claude Design

Claude Design generates UI fast — but it still picks #000 for text, reaches for six accent colors, and floats cards with no background separation. The missing piece isn't more templates. It's the 74 rules that tell the model when to use which pattern and why.

StyleSeed + Claude Design together:

  1. Claude Design generates the layout and components (fast scaffolding)
  2. StyleSeed's 74 rules refine the output (design judgment layer)
  3. Brand skins make it look like your brand, not like "AI made this"

Drop DESIGN-LANGUAGE.md into your Claude Design workflow and the same model produces noticeably more refined output — without changing a single prompt.

"Why not just use the official frontend-design skill?"

Use both — they solve different halves of the problem. Anthropic's official frontend-design skill scaffolds a clean screen fast, and it's a great starting point. StyleSeed is the layer on top:

Official frontend-design StyleSeed
Gets you a coherent screen
Names & bans the generic-AI tells ✅ by name (default indigo, icon-chip, rainbow lists…)
Scored gate that fixes before you see it /ss-score loops to ≥80
Locks decisions so they don't drift across prompts STYLESEED.md
Presets + dials to move the whole look at once /ss-restyle, /ss-dial

Official gets you coherent. StyleSeed keeps you from looking templated. Run the official skill to scaffold, then let StyleSeed's gate refine and enforce.

Install by hand

The fastest path is at the top — paste one prompt, or run npx skills add bitjaru/styleseed. To wire StyleSeed into an existing project manually, use one of the options below.

New to this? Read top to bottom — every step matters. The most common mistake is expecting setup to work before the skill is installed. Claude Code scans .claude/skills/; Codex scans .agents/skills/.

Option 1: Interactive Setup (Recommended)

Step 1 — Install the skills. The portable path for every supported agent is:

npx skills add bitjaru/styleseed

For a manual project-local install, clone StyleSeed and copy the canonical skill folders into the path your agent scans:

git clone https://github.com/bitjaru/styleseed.git /tmp/styleseed

# Claude Code
mkdir -p .claude/skills
cp -r /tmp/styleseed/engine/.claude/skills/* .claude/skills/

# Codex (repository-scoped skills)
mkdir -p .agents/skills
cp -r /tmp/styleseed/engine/.claude/skills/* .agents/skills/

Step 2 — Start a fresh agent session, open your project, and invoke setup:

Claude Code: /ss-setup
Codex:       $ss-setup   # or open /skills and choose ss-setup

The wizard then walks you through:

  1. App type (SaaS, e-commerce, fintech...)
  2. Brand color or pick a skin (Toss, Stripe, Linear, Vercel, Notion...)
  3. Or fetch any brand from awesome-design-md (58+ brands)
  4. Font preference
  5. Generates your first page automatically

Don't see the skills? For Claude Code, check .claude/skills/ and use the /ss- prefix. For Codex, check .agents/skills/, open /skills, or invoke $ss-setup. Start a new session after installing if discovery looks stale.

Option 2: Manual Setup

Already did step 1 above? These commands copy the rest of the engine into a typical src/-based React project. The source folder is engine/ (replace /tmp/styleseed with wherever you cloned it):

# Design reference + AI guide
mkdir -p .claude
cp /tmp/styleseed/engine/DESIGN-LANGUAGE.md .claude/DESIGN-LANGUAGE.md
cp /tmp/styleseed/engine/CLAUDE.md          ./CLAUDE.md

# Styles and components
mkdir -p src/styles src/components
cp -r /tmp/styleseed/engine/css/*        src/styles/
cp -r /tmp/styleseed/engine/components/*  src/components/

# Pick a skin — copy its theme.css alongside the other css files
cp /tmp/styleseed/skins/stripe/theme.css src/styles/theme.css

Option 3: Just give AI the URL

Refer to https://github.com/bitjaru/styleseed — read engine/CLAUDE.md 
and engine/DESIGN-LANGUAGE.md, then build a SaaS dashboard.
Use skins/stripe/theme.css for the color palette.

Option 4: Cursor

cp engine/.cursorrules your-project/.cursorrules

Want just some skills? npx skills add bitjaru/styleseed --skill ss-motion,ss-page cherry-picks.

Troubleshooting — "I applied StyleSeed but the UI still looks bad"

The honest reason: consistency comes from constraints. If you used a bare "apply StyleSeed" prompt (without the plan-mode + key-color + quality-gate steps the prompt above includes), the agent reads a summary once and improvises — so colors land at random and there's no key color. The reference demo (styleseed-demo.vercel.app) came out polished because it was built with the full rules in context and iterated with /ss-review — not one-shot. Recreate those conditions:

  1. Plan first. In Claude Code press Shift+Tab to enter Plan Mode, then decide the design one step at a time, with full context, before any code is written. This is the single biggest fix.
  2. Select the output grammar, adapter, and primary action color. Additional hues need stable semantic, categorical, editorial, or brand roles. No role = random color drift.
  3. Point it at the full rules, not the summary: read https://styleseed-demo.vercel.app/llms-full.txt (the short llms.txt is an index, not the 74 rules).
  4. Lock the decisions in a file. Run /ss-setup (or just ask the agent to "write a STYLESEED.md design lock"). It records your skin, key color, radius, and motion in STYLESEED.md at the repo root, and the rules tell the agent to obey it on every prompt — so the design stops being "different every time." This is the single strongest fix for inconsistency. (Also install CLAUDE.md / AGENTS.md / .cursorrules so the rules themselves are re-read every prompt.)
  5. Be specific: "Build a dashboard in the Linear skin, one blue accent, Snap motion, following StyleSeed's rules" beats "build a dashboard."
  6. Check & iterate. Run /ss-review or /ss-score, or tell it: "self-check the effective grammar — coherent geometry, stable color roles, real empty/loading/error states — and fix violations." If it drifts: "re-read CLAUDE.md and fix the coherence violations."

More constraints = less variance. Plan mode + a pinned key color + installed rules + a review pass is the difference between "looks generated" and "looks designed."

Already built something generic? Retrofit it

StyleSeed isn't only for new screens — it's the design counterpart to a code review for UI you already shipped. If an earlier build looks coherent but generic (default indigo, tiny desktop text, the same Lucide-icon-in-a-pale-chip on every card, no focal point):

  1. /ss-score src/… — grades the screen 0–100 and names the exact "AI-made" tells (default accent, icon-chip cliché, sub-16px body on desktop, no focal point, missing states).
  2. /ss-review src/… — the design code-review: applies the fixes (retint to your key color, drop the chips, bump the type scale, create a focal point), then re-score to ≥80.
  3. /ss-update → Retrofit — no design lock yet? It writes a STYLESEED.md (mood, key color, font, surface) so the whole project stops drifting, then upgrades screen by screen.

The rules got stronger in v2.5.0, so a screen that passed the old bar may score lower now — that's the point. Fixing it is what makes it stop looking AI-made.

How It Works: Engine + Skins

┌─────────────────────────────────────────────────┐
│  StyleSeed Engine (brand-agnostic)              │
│                                                 │
│  74 rules · 8 grammars · 5 adapters · 20 skills │
│  Layout · Composition · Typography · UX · A11y  │
└──────────────────────┬──────────────────────────┘
                       │
              Pick a skin ↓
                       │
    ┌──────┬──────┬──────┬──────┬──────┬─────────┐
    │ Toss │Stripe│Linear│Vercel│Notion│ 58 more │
    │      │      │      │      │      │(awesome)│
    └──────┴──────┴──────┴──────┴──────┴─────────┘

Engine = how your app is structured (design intelligence)

  • 74 visual design rules (layout, composition, rhythm, forbidden patterns)
  • 48 React components (32 primitives + 16 patterns)
  • A named motion system (5 seeds + a copy-paste keyword library)
  • 20 cross-agent skills (reference compiler, setup, UI, motion, UX, accessibility)
  • Works with ANY color palette

Skin = what your app looks like (visual identity)

  • Just a theme.css file with color variables
  • 7 built-in skins: Toss, Stripe, Linear, Notion, Raycast, Arc, Vercel
  • 58+ more available from awesome-design-md
  • Or create your own (change --brand and you're done)

Data repos (awesome-design-md) = paint colors. StyleSeed = the rulebook for where to put the paint. Use them together: they provide the skin, StyleSeed provides the brain. (Full comparison in Where StyleSeed fits.)

Named Motion System

Most AI-generated motion is the same default fade. StyleSeed gives motion a vocabulary — so you (and the LLM) can name a feel and get consistent, intentional animation across every page. Two layers:

1. Seeds = personality. Five named presets, each a spreadable framer-motion recipe in five contexts (entrance / exit / hover / press / layout):

Seed Vibe Inspiration
Spring bouncy, energetic, playful Arc, Toss
Silk smooth, elegant, continuous Stripe, Linear
Snap instant, decisive, precise Raycast, Linear
Float weightless, gentle, dreamy Apple
Pulse rhythmic, alive, punchy Discord, music apps
import { spring } from "@engine/motion";

<motion.button {...spring.hover} {...spring.press}>Save</motion.button>

2. Keywords = distinctive moves. A library of copy-paste named motions behind one handle — toggle-flip, toggle-curtain, reveal-blur, pop-in, tilt-3d, magnetic, glow-pulse, confetti-pop, shimmer, and more. Say the keyword while vibe coding (or run /ss-motion toggle-flip) and the same recipe lands in your code.

Preview & copy every motion at the live gallery →  ·  Vibe-code your own → the motion guide

3. Motion is scoped by surface — calm apps, cinematic landing pages. This is the part most rule-sets get wrong: they ban scroll animation everywhere (so your marketing page ends up flat), or allow it everywhere (so your dashboard scroll-jacks). StyleSeed splits it:

Surface Motion posture
App / dashboard / data / forms Calm. No scroll-jacking, no gimmick 3D, never animate a balance. The UI gets out of the way.
Marketing / landing / brand pages Cinematic tier. Scroll-linked reveals, pinned/sticky sections, the "product assembles as you scroll" move, subtle parallax, a 3D/tilt hero, animated gradient/mesh or video backgrounds, rich hover — the family.co / stripe.com / linear.app playbook.

The line StyleSeed draws: scroll-linked (native scroll drives it, you stay in control) is encouraged on brand pages; scroll-jacking (hijacking scroll speed, trapping you) is banned everywhere. The Cinematic tier keeps its guardrails — 60fps (transform/opacity only), never blocks the first read or the CTA, and prefers-reduced-motion always leaves a complete static page. So you can build a Stripe-grade landing page and a calm dashboard from the same engine, each with the right restraint. (Rules: DESIGN-LANGUAGE §43 · PAGE-TYPES → Landing)

All seeds auto-respect prefers-reduced-motion, and the /ss-motion skill pulls every recipe from one source of truth — so motion stays consistent no matter who (or what) writes the code.

Available Skins

Skin Style Source
toss Korean fintech — purple, minimal, data-focused Original
stripe Professional — indigo, clean, multi-layer shadows awesome-design-md
linear Dark-first — violet, minimal, developer-focused awesome-design-md
vercel Monochrome — black & white, geometric awesome-design-md
notion Warm — blue accent, friendly, warm neutrals awesome-design-md
raycast Dark, punchy — red accent, snappy, launcher energy awesome-design-md
arc Playful — bold gradients, rounded, expressive awesome-design-md
58+ more Any brand from awesome-design-md Auto-fetched via /ss-setup — nothing vendored

Engine Contents

engine/
├── CLAUDE.md                 # AI reads this automatically
├── AGENTS.md                 # Codex and other AGENTS.md-compatible agents
├── DESIGN-LANGUAGE.md        # 74 visual design rules (brand-agnostic)
├── .claude/skills/           # 20 canonical skills (Claude: /ss-*, Codex: $ss-*)
│   ├── ss-setup/             #   Interactive setup wizard
│   ├── ss-page/              #   Scaffold pages
│   ├── ss-component/         #   Generate components
│   ├── ss-pattern/           #   Compose layouts
│   ├── ss-motion/            #   Apply named motion (seeds + keywords)
│   ├── ss-review/            #   Design compliance check
│   ├── ss-tokens/            #   Manage tokens
│   ├── ss-a11y/              #   Accessibility audit
│   ├── ss-lint/              #   Quick violation scan
│   ├── ss-score/             #   Score UI 0-100 + fix list
│   ├── ss-update/            #   Pull latest engine
│   ├── ss-flow/              #   Design user flows
│   ├── ss-audit/             #   UX heuristic evaluation
│   ├── ss-copy/              #   Generate microcopy
│   └── ss-feedback/          #   Add loading/error/empty states
├── motion/                   # 5 motion seeds + keyword library
├── components/
│   ├── ui/                   # 32 primitives (shadcn/ui + motion)
│   └── patterns/             # 16 dashboard patterns
├── css/                      # base.css, fonts.css, index.css
├── tokens/                   # 6 JSON token files
├── utils/                    # Formatting utilities
├── icons/                    # Custom SVG icon library
└── scaffold/                 # Vite 6 + React 18 starter

20 AI-Powered Skills

Setup

Skill What It Does
/ss-build The whole loop, enforced — lock the look → build → score → fix to ≥80 → then show. Use this instead of building UI free-hand
/ss-reference Compile references into a project grammar — evidence, confidence, semantic tokens, anti-patterns, and a transfer validation artifact
/ss-dial Turn one axis up/down deterministically — density denser, radius sharper, color more-muted, weight bolder. Moves many tokens together, keeps the guardrails, re-gates
/ss-restyle Re-style to a named aesthetic — swiss · editorial · technical · warm-dtc · minimal-mono · brutalist-lite. A coherent coordinate, not a stacked filter
/ss-setup Interactive wizard — select output grammar + adapter, then bounded brand/profile values

UI — Build It Right

Skill What It Does
/ss-component Generate components following design conventions
/ss-page Scaffold pages with proper layout structure
/ss-pattern Compose UI patterns (card grid, chart, list)
/ss-motion Apply a named motion — a seed or a keyword move (toggle-flip, tilt-3d...)
/ss-review Audit code for design system violations
/ss-tokens View, add, or modify design tokens
/ss-a11y Accessibility audit (WCAG 2.2 AA)
/ss-lint Quick automated lint — catches common violations in seconds
/ss-score Score UI quality 0-100 with a category breakdown + prioritized fix list (reads the code)
/ss-verify The visual gate — render the screen, screenshot it, score what you see (dead whitespace, unloaded fonts, no focal, blank empty states), fix + re-render
/ss-update Pull latest engine updates — analyzes your project and updates safely

UX — Design It Right (No Designer Needed)

Skill What It Does
/ss-flow Design user flows (progressive disclosure, information pyramid)
/ss-audit Nielsen's 10 usability heuristics evaluation
/ss-copy Generate UX microcopy (buttons, errors, empty states, toasts)
/ss-feedback Add loading/success/error/empty states to any component

Example Workflow

/ss-setup                    # Pick skin, configure project
/ss-page Dashboard           # Scaffold main page
/ss-copy "dashboard"         # Generate all microcopy
/ss-feedback src/Dashboard   # Add loading/error states
/ss-audit src/Dashboard      # Check UX quality
/ss-lint src/Dashboard       # Quick violation scan
/ss-review src/Dashboard     # Deep design compliance check
/ss-update                   # Pull latest engine updates

Example Prompts

New project:

Refer to https://github.com/bitjaru/styleseed — read engine/CLAUDE.md 
and engine/DESIGN-LANGUAGE.md. Use skins/stripe/theme.css for colors.
Build a SaaS dashboard with revenue, users, and activity.

Add a page (engine already in project):

Follow CLAUDE.md and DESIGN-LANGUAGE.md rules.
Create a settings page with profile, notifications, and danger zone.
Run /ss-review when done.

Improve existing page:

Refactor src/Dashboard.tsx to follow DESIGN-LANGUAGE.md.
Check visual rhythm (rule 61) and KPI variation (rule 62).

Update engine:

/ss-update

Tech Stack

React 18 · TypeScript · Tailwind CSS v4 · Radix UI · Vite 6 · Lucide Icons · CVA

StyleSeed vs. the alternatives

StyleSeed shadcn/ui Tailwind UI Material UI Generic AI output
Components ✅ 48 ✅ 50+
Design judgment (when to use what) ✅ 74 rules Partial
Claude Code / Cursor integration ✅ 20 skills
Brand skins (Toss, Stripe, Linear...)
Price Free (MIT) Free $299+ Free
Works with AI coding tools Indirect Indirect Indirect

TL;DR: shadcn/ui gives you components. Tailwind UI gives you templates. StyleSeed gives you the design judgment that makes AI output stop looking like AI output.

FAQ

Q: Why does Claude Code / Cursor generate ugly UI? Because LLMs optimize for functional correctness, not visual refinement. They'll pick #000 for text, py-4 for spacing, text-xl for everything — all technically valid, all amateur. StyleSeed gives them the rules professional designers use.

Q: Is this a shadcn/ui replacement? No — it's built on top of shadcn/ui patterns. StyleSeed components use the same Radix primitives and CVA conventions. Think of it as shadcn/ui + design judgment + AI-tool integration.

Q: Does it work with Cursor too? Yes. The 74 design rules live in a .cursorrules file and CLAUDE.md. Cursor reads them automatically.

Q: How is this different from awesome-design-md? awesome-design-md gives you brand DESIGN.md files (what). StyleSeed gives you the engine that turns any brand into a working app (how). They pair well.

Q: Can I use it for a non-fintech app? Yes. The engine is brand-agnostic. Pick any skin, swap the brand color, ship.

Documentation

Full docs in the Wiki — design rules reference, composition recipes, chart guides, skills reference.

Field notes — the thinking behind the rules

Longer-form writing on why AI-built UI looks the way it does (and what actually fixed it):