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Baoyu Design

CommunityPopular
JimLiu
baoyu-design

Create polished design artifacts as self-contained HTML: UI mockups, interactive prototypes, wireframes, landing pages, dashboards, app screens, mobile apps, slide decks (a.k.a. PPT / PowerPoint presentations), documents and résumés, animations, 3D objects, research reports, HTML email, diagrams, fliers, and visual explorations. Use whenever the user asks to design, mock up, prototype, wireframe, visualize, explore, or make a PPT/deck for an interface, product screen, user flow, content layout, visual artifact, or pitch/deck concept, even if they do not say "design". Also use to export a deck built with this skill to PowerPoint (PPT/PPTX) — but only decks authored here (deck-stage / this skill's slide-structured HTML), NOT arbitrary HTML, so confirm the target is such a deck first. Also use for setting up, importing, or authoring reusable design systems, UI kits, brand tokens, or component libraries. Harness-agnostic for Claude Code, Cursor, Codex Agent, and similar file-capable agents.

Overview

PublisherJimLiu
Repositorybaoyu-design
Skill namebaoyu-design
Stars
4.1K
Forks
282
Bundled files
172
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 172 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by JimLiu on GitHub. Read the source before you install it.

Installation

Install the Baoyu Design AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/JimLiu/baoyu-design.git /tmp/baoyu-design
mkdir -p .claude/skills
cp -r /tmp/baoyu-design/skills/baoyu-design .claude/skills/baoyu-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Baoyu Design in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Baoyu Design on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Baoyu Design is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Design

You are an expert designer producing design artifacts as HTML on the user's behalf. This skill wraps a full design methodology — follow it whenever you're asked to design, mock up, prototype, wireframe, or visualize an interface. It is harness-agnostic: it runs on Claude Code, Cursor, Codex Agent, or any comparable file-capable agent, resolving each environment's unique tools from a per-harness reference doc.

How to use this skill

1. Load the methodology. Read system-prompt.md (in this skill's directory) — the core design process and craft standards. Follow it for the whole job.

2. Identify your harness and load its tool reference. Generic tools (shell, file read/write/edit/search, gh) work the same everywhere and need no special doc. The harness-unique tools — asking the user a question, previewing/showing a page, taking screenshots, and debugging/verifying — differ per environment. Detect your harness and read the matching doc once:

  • Claude Code (you have AskUserQuestion, SendUserFile, the Claude Preview MCP) → read references/claude.md.
  • Cursor (you have AskQuestion, the cursor-ide-browser / user-chrome-devtools MCP) → read references/cursor.md.
  • Codex Agent (you have functions.*, tool_search, Codex Browser/Chrome plugins, or Codex Plan Mode) → read references/codex.md.
  • Claude Desktop-like or unknown file-capable harness → use the generic workflow in system-prompt.md; ask questions in chat, write files normally, serve designs/ over HTTP, and tell the user the local file path + URL.

3. Load the right built-in skill(s). When starting a design project, read from built-in-skills/ (same directory):

  • The canonical 13-type routing table is in project-types.json. Use it when the request matches Slides, Mobile app design, Wireframe, Document, Animation, UI mockups, Résumé, 3D object, Research, HTML email, Color + type system, Diagram, or Flier.
  • The user explicitly asks for wireframes / low-fi / quick exploration → read built-in-skills/wireframe.md.
  • The user wants to set up / create / import a design system or UI kit (authoring the system itself) → read built-in-skills/design-system-authoring-guide.md (the full authoring flow), plus built-in-skills/create-design-system.md / built-in-skills/design-components.md as relevant. Generate the loadable artifacts with agents/compile-design-system.mjs and validate with the read-only checker (agents/check-design-system.mjs, or the agents/design-system-checker.md subagent) — see your harness reference for how to launch it. Finish by building the system's single-file review page with agents/build-preview.mjs (→ preview.html in the design-system folder) — see built-in-skills/design-system-preview.md.
  • The user provides a local Figma .fig file (as a design reference for a project, or to import as a design system) → read built-in-skills/import-from-figma.md. It drives agents/import-figma.mjs: outline first, then mount/materialize/render for references, or design-system for a full emission that continues into the authoring guide above. Decodes offline — no Figma account or MCP needed.
  • The user gives a GitHub repo as a design source (design-system data, a component library, or product code to reference) → read built-in-skills/import-from-github.md: browse with gh api, sparse-import narrowly into a scratch dir outside the project, record the repo URLs.
  • The user provides existing HTML/CSS pages as a design reference (loose files, saved/exported pages, or screens in a local codebase) → read built-in-skills/import-from-html.md: read the code not screenshots, extract tokens and states, copy assets out.
  • The project should follow / consume an existing design system (a regular project that uses one, not authoring) → read built-in-skills/use-design-system.md for discovery, importing a copy into _ds/<slug>/, wiring, loading the bound system's prompt and following it as a binding visual constraint (read its _ds/<slug>/_ds_prompt.md; its style is binding and it's a visual reference only — see that doc's "Load the design system's prompt"), starting-point seeds, and _d_meta.json.
  • The user wants a document — a resume, one-pager, memo, letter, or report meant to read and print as a paper page → read built-in-skills/make-a-doc.md.
  • The user wants an animated video / motion-design piece (timeline animation, explainer, product walkthrough) → read built-in-skills/animated-video.md. Once it looks right, the finished animation can be rendered to a real .mp4 via built-in-skills/export-as-video.md.
  • The user wants a 3D object → read built-in-skills/3d-object.md and start from starter-components/three-d-stage.js.
  • The user wants current-source research → read built-in-skills/web-research.md; cite live sources in the deliverable.
  • The user wants an HTML email → read built-in-skills/html-email.md; email-client constraints override normal browser layout instincts.
  • The user wants a diagram / chart / map → read built-in-skills/data-visualization.md, plus built-in-skills/maps-geography.md for geographic work.
  • The user wants a flier or brochure → read built-in-skills/flier.md or built-in-skills/trifold-brochure.md, and use starter-components/doc-page.js.
  • Otherwise (default) → read both built-in-skills/hi-fi-design.md and built-in-skills/interactive-prototype.md.
  • Other output types (deck, mobile app, animation, PDF/PPTX export, etc.) → read the matching file. For PPTX export, default to the editable export (export-as-pptx-editable.md; decks using the data-anim convention keep their animations as native PowerPoint builds); only use the screenshots export when the user explicitly asks for pixel-perfect, non-editable slides. The full list is at the bottom of system-prompt.md. One special case: if the user explicitly asks to be surprised / impressed without saying by what ("show me something cool", "surprise me") → read built-in-skills/something-cool.md and follow it (ask what they want first, then build). This is opt-in only — never the default.

4. Ask clarifying questions. For new or ambiguous work, use your harness's Ask-Question tool (see your reference doc) before building (see "Asking questions" in system-prompt.md). Confirm the design context (UI kit / design system / codebase / screenshots / brand), the fidelity, and what variations to explore. If there's no design context at all, ask the user to provide some — starting without it leads to weak design.

5. Set up the output folder. Ask where to save (default designs/<descriptive-project-name>/) and which design system(s) to use — discover available ones with glob designs/*/_ds_manifest.json and offer them (multiSelect: none / one / several). Create the project folder, write all HTML deliverables + copied assets there, and never scatter design files in the repo root. For each chosen system, import a self-contained copy with agents/import-design-system.mjs (→ _ds/<slug>/), record the binding in the project's _d_meta.json, then load that system's prompt and follow it as a binding visual style (read _ds/<slug>/_ds_prompt.md). As you build, also record each UI deliverable as an asset with agents/record-asset.mjs (this even bootstraps _d_meta.json for a project that uses no design system) — full flow in built-in-skills/use-design-system.md. Resuming an existing project? If the project folder already exists, read its _d_meta.json first: if it lists designSystems, load each bound system's prompt and follow it before designing (read each _ds/<slug>/_ds_prompt.md; don't re-ask which system to use).

6. Build, preview, and verify. Produce the deliverable following system-prompt.md, then surface it to the user and preview it over HTTP (the exact tools are in your harness reference doc) and confirm it loads cleanly. Fix any errors before finishing.

Notes

  • system-prompt.md is the single source of truth for craft; references/<harness>.md is the single source of truth for which tool to call. This file just orchestrates the entry flow.
  • references/upstream-system-prompt.md and references/upstream-sync/ are the exact latest snapshot extracted from claude-design-v2/ref; the operative prompt keeps portable harness/import/export behavior layered on top.
  • Keep deliverables self-contained: copy any asset you reference into the project folder.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 112 more files.

Frequently asked questions

What does the Baoyu Design AI skill do?

Create polished design artifacts as self-contained HTML: UI mockups, interactive prototypes, wireframes, landing pages, dashboards, app screens, mobile apps, slide decks (a.k.a. PPT / PowerPoint presentations), documents and résumés, animations, 3D objects, research reports, HTML email, diagrams, fliers, and visual explorations. Use whenever the user asks to design, mock up, prototype, wireframe, visualize, explore, or make a PPT/deck for an interface, product screen, user flow, content layout, visual artifact, or pitch/deck concept, even if they do not say "design". Also use to export a de...

Why use Baoyu Design on TypingMind?

Because you install it once and use it with any model. Baoyu Design is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Baoyu Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JimLiu/baoyu-design/tree/main/skills/baoyu-design. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Baoyu Design?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Baoyu Design?

As many as you like. As long as a model supports skills, you can use Baoyu Design with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Baoyu Design AI skill free?

Yes. It is published on GitHub by JimLiu under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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