baoyu-design

Run Claude Design on your own local agent — Cursor, Claude Code, Claude Desktop, or any file‑capable coding agent.

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baoyu-design packages Claude Design — the design engine behind claude.ai/design — as a portable Agent Skill. Drop it into a local agent and you get most of what the website does, right inside your editor: polished UI mockups, interactive prototypes, wireframes, landing pages, dashboards, mobile apps, and slide decks — all produced as self‑contained HTML.

No website, no separate subscription, no upload step. The agent already on your machine does the work, and every artifact stays in your repo.

Why run it locally

• Free yourself from the website. You get the vast majority of claude.ai/design's capabilities without ever leaving your editor — same methodology, same craft standards, same output format.
• Best with Opus 4.8. The skill is a long, demanding design brief; the stronger the model, the better the result. Pair it with Claude Opus 4.8 for the best output, and it still works well on other capable models.
• Iterate by pointing, not describing. Because the deliverable is plain HTML served on localhost, you can lean on your agent's built‑in browser preview and element‑annotation tools (e.g. Cursor's browser / DevTools). Point at a button in the live preview, say what you want changed, and the agent edits the underlying source — a tight, visual second‑pass editing loop that's hard to get on a website.
• Everything is yours. Output lands in designs/<project>/ as self‑contained HTML you can version, fork, export, or ship.

What it can make

The skill drives a full design process — clarifying questions → gathering design context → producing one or more HTML deliverables → previewing and verifying. It ships 24 built‑in skills and a set of ready‑made component scaffolds.

Starter components (in starter-components/) save the agent from hand‑rolling the basics: iOS / Android / macOS / browser frames, a pan‑zoom design canvas, a slide‑deck stage, a timeline animation engine, a tweaks panel, and a fillable image slot.

How it works

The skill is plain Markdown plus a few JSX/JS scaffolds — no build step, no runtime.

skills/baoyu-design/
├── SKILL.md              # Entry point — orchestrates the whole flow
├── system-prompt.md      # The design methodology & craft standards (source of truth)
├── references/
│   ├── claude.md         # Tool map for Claude Code
│   └── cursor.md         # Tool map for Cursor
├── built-in-skills/      # 24 specialized prompts (decks, mobile, export, …)
└── starter-components/   # Device frames, deck stage, canvas, animation engine, …

When you ask for a design, the agent reads SKILL.md, loads the core methodology from system-prompt.md, detects whether it's running in Cursor or Claude Code and reads the matching reference doc, then pulls in only the built‑in skill(s) the task needs. The split keeps craft rules harness‑independent while each environment resolves its own tools for asking questions, previewing, screenshotting, and verifying.

Quick start

Prerequisites

• A local agent — Cursor, Claude Code, or any of the 70+ agents the installer supports (Codex, Cline, Roo Code, GitHub Copilot…). Cursor and Claude Code have first‑class tool references inside the skill.
• Claude Opus 4.8 selected as the model, for best results.
• Node.js (to run the npx installer below). Python 3 is also handy for the local preview server.

Install

Recommended — the skills CLI. npx skills (from Vercel Labs) reads this repo, finds skills/baoyu-design/, and drops it into the right folder for whatever agent it detects:

# Install into the current project (auto‑detects your agent)
npx skills add JimLiu/baoyu-design

# …or install globally, for every project
npx skills add JimLiu/baoyu-design -g

# Target a specific agent explicitly
npx skills add JimLiu/baoyu-design --agent claude-code
npx skills add JimLiu/baoyu-design --agent cursor

# Just list what's in the repo first
npx skills add JimLiu/baoyu-design --list

It installs to .claude/skills/ for Claude Code and .agents/skills/ for Cursor (add -g for the ~/‑level user install).

Alternative — hand the repo URL to your agent. Don't want to install anything? Paste the URL into chat and let the agent fetch the skill itself:

Read https://github.com/JimLiu/baoyu-design and follow its skills/baoyu-design/SKILL.md to design a settings screen for a meditation app.

The agent clones or fetches the repo, loads SKILL.md, and proceeds — perfect for a one‑off.

Use it

Once the skill is installed (or fetched), just describe a design task in plain language — it auto‑activates from its description:

Design 3 hi‑fi variations of a settings screen for a meditation app.

In Claude Code you can also trigger it explicitly with /baoyu-design. The agent asks a few clarifying questions, builds the HTML under designs/, and previews it over localhost. Point at any element in the live preview and say what to change — the agent edits the underlying source for a fast, visual second pass.

Preview server

Deliverables are previewed over HTTP (multi‑file prototypes won't load from file://). The agent normally starts this for you; to run it by hand:

python3 -m http.server 4311 --directory designs
# then open http://localhost:4311/<project>/<file>.html

Example prompts

• "Design 3 hi‑fi variations of a pricing page using the brand in this screenshot."
• "Prototype a working onboarding flow — real state, transitions, form validation."
• "Make a 10‑slide deck from this PRD for an engineering all‑hands."
• "Wireframe a few layout ideas for a mobile expense‑tracker home screen."
• "Recreate the composer UI from this codebase, then export it as standalone HTML."

For best results, give it design context — a screenshot, a UI kit, a Figma link, or a codebase. Starting from real context is the single biggest lever on quality; the skill will ask for it if you don't provide it.

Credits & license

This project repackages Claude Design, the design skill by Anthropic that powers claude.ai/design, so it can run on local agents. It is an independent, community effort and is not affiliated with or endorsed by Anthropic.

Repackaged and maintained by Jim Liu 宝玉. Released under the MIT License.