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styleseed

bitjaru · bitjaru/styleseed

StyleSeed provides 23 agent skills to enforce design judgment, implement semantic palettes, and ensure evidence-verified UI consistency for AI coding agents.

Open-source design-method engine for Claude Code, Codex & Cursor. 23 agent skills for fixed design judgment, multiple grammars, semantic palettes, reference compilation, and evidence-verified UI. MIT.

967 stars89License: MITUpdated 18 days ago0 opens

See it in action

Before and after comparison of default AI output vs StyleSeed rules

From the author's READMEBefore and after comparison of default AI output vs StyleSeed rules

1/3

From the author's README bitjaru ·Source

What you can do with it

  • Ensure consistent application of brand guidelines across an entire UI.
  • Automate the enforcement of design system rules in newly generated code.
  • Get AI agents to adhere to specific color palettes and typography rules.

Safety check

Safe

No risky patterns found in the files we scanned.

Automated scan of the repo files. Always review code you run.

From the README

StyleSeed

Make expert design judgmentrepeatable by coding agents.

StyleSeed turns recorded design decisions into project-local rules and implementation workflows. Support experts, not replace them with a collection of tastes. Open source, for Claude Code · Codex · Cursor.

Same product. Same prompt. Only the rules changed.

Measured on 120 rendered benchmark cells: the enforced gate improved both Codex and Claude Code by +5.3 points. Raw rules alone were inconsistent (Codex +1.6, Claude Code −3.7), which is why StyleSeed ships a render → score → revise loop—not a prompt dump. Read BENCH-V1 and inspect the raw evidence →

Easy Start (30 seconds)

Our goal is repeatable application of expert judgment, not a claim of expert-level output today. The engine compiles selected rules, preserves project choices, and supports code and rendered checks. A score does not replace human design acceptance. Product principles · Quality-first roadmap

1. Open a terminal in your project folder and run this command. Requires Node.js/npm.

Already installed? Update and consolidate your existing skill list. One request covers the same install scope, verified backup, and revision checks.

npx -y skills add bitjaru/styleseed -a codex claude-code -y --copy

Installs the core skills for Codex and Claude Code together, with no agent, skill, or install-mode menus. It copies the skills into this project. It does not install globally or change other projects.

2. Send one message to your agent. Start a fresh session if the skills do not appear.

  • Codex: $styleseed Help improve this screen. Preserve our existing design choices and show me what needs a decision.
  • Claude Code: /styleseed Help improve this screen. Preserve our existing design choices and show me what needs a decision.

Only styleseed is registered. It selects the needed internal workflow from your request. Choose unresolved design decisions together, then inspect the actual rendered result.

Only use one agent, or want to choose the options yourself?

  • Codex only: npx -y skills add bitjaru/styleseed -a codex -y --copy
  • Claude Code only: npx -y skills add bitjaru/styleseed -a claude-code -y --copy
  • Cursor or another agent: npx skills add bitjaru/styleseed → your agent → Project → Copy.
  • In the interactive list, Codex is already included under Universal. Do not look for it again under Additional agents.
  • -y skips installer questions; it does not bypass your coding agent's tool permissions.

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

Evaluating the repository?

Use the three-minute verification path to test a clean public install before trusting the README. The source-level evaluator quickstart then connects that install to the published release manifest, Windows PowerShell evidence, CI, SBOM, benchmark boundary, and production build.

Want a first PR? Fix a doc, add a regression fixture, improve a skin, or claim a good first issue. Small docs and test fixes need no proposal. See the 15-minute contribution path.

For a fixed evaluation version, use the v5.0.0 release archive and its checksums. The default bitjaru/styleseed command follows mutable main.

Upgrading an existing 23-skill install

Reinstall through the same channel. Then ask StyleSeed, consolidate my old skill entries. The update workflow verifies the new unified payload and archives only unmodified old ss-* directories outside skill discovery; modified copies remain for review. Restart the agent session. Use $styleseed build / /styleseed build instead of the former $ss-build / /ss-build registrations. All 22 workflows remain bundled; selecting only styleseed is now sufficient.

What the current rules check

StyleSeed ships 74 craft rules and a 0–100 scored gate that tells an installed agent to revise screens below 80 before presentation. Checks must be interpreted through the selected grammar and project contract, not as universal taste. The workflow must actually be invoked; a markdown file alone cannot block delivery, and 80 points is not expert approval.

CheckWhy
Unselected default accentrequire an intentional, recorded color role
Emoji as UI icons 🚗 🧺 ⭐inject random colors, render differently per OS
The icon-in-a-chip above every feature cardgen-1 AI tell — decoration pretending to be information
All-even grid of same-weight centered cardsthe #1 machine-composed tell: no focal point
Accidental flat-black backgroundsuse the selected grammar's surface model; explicit supported exceptions differ
Type sizes outside the selected scaleprevent unintentional hierarchy drift
Hardcoded hex in componentstokens 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 ↓

One component. Three token skins. Same chat UI morphing across Toss · Raycast · Arc-inspired token sets. A skin changes color and type material; a StyleSeed brand recipe changes the actual geometry, containment, con

View source on GitHub