design-system-prep

design-system-prep is a skill for Claude Code from modu-ai/moai-cowork. It costs 164 tokens per session (4,542 once invoked), scanned A, original, Apache-2.0.

A preparation tool that turns scattered brand materials—such as logos, colors, fonts, websites, design files, and presentations—into a DESIGN.md file for Claude Design. Claude Design is a tool for creating interface designs from shared visual guidelines.

In plain words
What is it for?
Use it to prepare a design-system upload from existing code, Figma or Sketch files, brand assets, websites, or presentation decks.
Why use it?
It removes the need to manually collect and explain brand rules before starting a design project.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool; mentions Claude Code.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is - ./design-system-prep/DESIGN.md (XX줄).

Part of the moai-designer plugin — 17 skills shipped together

Good fit Use it to prepare a design-system upload from existing code, Figma or Sketch files, brand assets, websites, or presentation decks.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/modu-ai/moai-cowork
agentmods
npx agentmods add skills/modu-ai/moai-cowork/design-system-prep

Made for: Claude Code.

Or install moai-designer, the plugin that ships this one along with the rest of its 17 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for design-system-prep

README.md
[![agentmods](https://agentmods.dev/badge/skills/modu-ai/moai-cowork/design-system-prep/github.svg)](https://agentmods.dev/skills/modu-ai/moai-cowork/design-system-prep)
Your own site
<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/design-system-prep"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/design-system-prep/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for design-system-prep

Your own site · 80×15
<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/design-system-prep"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/design-system-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 164 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,542 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00164 $0.04542
Opus 5 $0.00082 $0.02271
Sonnet 5 $0.00033 $0.00908
Haiku 4.5 $0.00016 $0.00454

Measured 6d ago against content hash 85bac2b4981a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

design-system-prep scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/moai-designer/skills/design-system-prep/SKILL.md · 322 lines

How it starts

The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.

design-system-prep — 디자인 시스템 자산 합성

개요

docs-site 디자인 시스템 페이지에서 정리한 대로, Claude Design 결과 품질을 가장 크게 좌우하는 것은 디자인 시스템 셋업입니다. 이 스킬은 흩어진 브랜드 자산을 분석해 Claude Design이 한 번에 흡수할 수 있는 DESIGN.md로 합성합니다.

네이티브 경로와의 관계 (2026-06 업데이트): Claude Design은 이제 GitHub repo·디자인 파일·업로드에서 디자인 시스템을 직접 import하고, 출력을 등록된 시스템에 대조해 자가 수정합니다. Claude Code 터미널에서는 design-workflow 스킬로 코드베이스 디자인 시스템을 바로 보낼 수도 있습니다. 깔끔한 코드 repo가 있으면 그 네이티브 경로가 가장 빠릅니다. 이 스킬은 자산이 흩어져 있거나, 깔끔한 코드 repo가 없거나, design-system-library의 큐레이션된 토큰을 출발점으로 쓰고 싶을 때 DESIGN.md로 합성해 네이티브 경로를 보완합니다(대체가 아니라 보완).

트리거 키워드

Claude Design 디자인 시스템, 디자인 시스템 자산, DESIGN.md, 브랜드 자산 합성, 디자인 시스템 셋업, claude.ai/design 시스템

입력 — 자산 5종

다음 중 가능한 만큼 제공합니다 (한 가지만 있어도 시작 가능).

자산 유형 형태 Claude가 추출하는 것
코드 GitHub repo URL · 로컬 UI 패키지 디렉토리 React·Vue·Svelte 컴포넌트, CSS 토큰, Tailwind 설정
디자인 파일 Figma .fig, Sketch, 컴포넌트 스크린샷 PNG 색 팔레트, 타이포 스케일, 컴포넌트 라이브러리
브랜드 자산 로고 SVG·PNG, 색 팔레트 이미지, 스타일 가이드 PDF 색·타이포·로고 사용 규칙
실물 운영 중 웹사이트 URL, PPTX 덱, 잘 만든 마케팅 페이지 실제 컴포넌트·간격·voice
사전 빌트인 Apple · Linear · Stripe 시스템 (오픈 라이선스) 시작점
디자인 시스템 라이브러리 moai-designer:design-system-library의 75개 시스템 (claude · clickhouse · clay 등) 토큰(색·타이포·radius·spacing) + 컴포넌트 매핑 — DESIGN.md 합성의 즉시 소스

우선 순위 (v2.21.0+): 사용자가 특정 브랜드 무드를 지정하거나 결과물 성격에 맞는 시스템이 필요하면, 별도 자산 수집 전 design-system-library의 75개 시스템에서 먼저 선택합니다. design-system-prep는 선택된 systems/<name>.md 토큰을 DESIGN.md 합성의 1차 소스로 사용합니다. 외부 자산(웹사이트 URL·Figma 등)은 라이브러리 시스템에 대한 보강 자료로만 활용합니다.

워크플로우

1단계 — 자산 수집

사용자에게 자산 유형을 묻고 입력을 받습니다. AskUserQuestion 1라운드.

가지고 있는 자산을 모두 알려 주세요 (복수 선택):
- 우리 웹사이트 URL
- 로고·이미지 파일
- 잘 만든 자사 페이지 (PPTX·PDF·캡처)
- GitHub repo (UI 컴포넌트)
- Figma 파일
- 사전 빌트인에서 시작

선택 후 각 자산의 경로·URL을 차례로 수집합니다.

2단계 — 자산 분석

자산 처리 방법
웹사이트 URL WebFetch로 라이브 페이지 분석 — 색·폰트·컴포넌트 패턴 추출
이미지 파일 비전 분석으로 색 팔레트·로고 형태 추출
PPTX·PDF 텍스트·이미지·배경 색 분석
GitHub repo URL package.json · tailwind.config.* · UI 디렉토리 분석
로컬 폴더 ls · Read로 파일 구조 분석

Read the full file on GitHub · 322 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 322 lines · 164 tokens per session scan A 85bac2b4981a

Subscribe to this mod's changes

design-system-prep is a skill published in the GitHub repository modu-ai/moai-cowork (298 stars, last pushed 7d ago), licensed Apache-2.0. It adds 164 tokens to every session and 4,542 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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