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Playful Lab 3d

Community
Jane-xiaoer
playful-lab-3d

This skill should be used when the user asks to "用顽趣实验室 3D 做 PPT", "做怪物实验室风格演示", "做角色驱动的 3D 产品发布", "playful lab deck", "monster 3D presentation", or wants a colorful red-blue-green character-led commercial deck with editable PPTX export.

Overview

PublisherJane-xiaoer
Repositorypaper-collage-ppt
Skill nameplayful-lab-3d
Stars
68
Forks
6
Bundled files
14
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.

  • 14 bundled files

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

  • Open source

    Published by Jane-xiaoer on GitHub. Read the source before you install it.

Installation

Install the Playful Lab 3d 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.
    https://github.com/Jane-xiaoer/paper-collage-ppt/tree/main/styles/playful-lab-3d
  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/Jane-xiaoer/paper-collage-ppt.git /tmp/paper-collage-ppt
mkdir -p .claude/skills
cp -r /tmp/paper-collage-ppt/styles/playful-lab-3d .claude/skills/playful-lab-3d
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Playful Lab 3d 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 Playful Lab 3d 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 Playful Lab 3d 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.

顽趣实验室 3D · Playful Lab 3D

把大纲、文章或产品信息转成角色驱动的 3D 网页 PPT,并同时导出可编辑 PPTX。采用三色人格、夸张怪物、实验室道具、材质反差和广告式构图;保持原创,不复制任何参考品牌的角色、商标、包装或标语。

核心原则

  1. 先分配人格,再选颜色。 将内容拆为 2–4 个角色职责,例如主持人、分析师、挑战者、实验员。为每个职责定义身体几何、表情、动作、道具和一句口号。
  2. 一页只设一个主阵营色。 从红、蓝、绿中选择主色;另外两色只作小面积强调。保持至少 35% 暖白留白。
  3. 让角色承担信息任务。 角色必须指向、托举、追逐、观察或操作页面中的概念;禁止把角色当角落摆件。
  4. 混合材质而非统一黏土。 每页组合软胶、哑光黏土、毛绒和少量金属中的两种,避免退化为好奇果冻 3D 的换色版。
  5. 保留精确文案。 标题、正文、数字和标签全部放在 #txt 中作为真 HTML;禁止把精确文案烤入图片或 WebGL。
  6. 为 PPTX 明确注册对象。 对需要在 PowerPoint 中独立移动的 Three.js 对象调用 registerPptx3D(object, id, { pages })。

工作流

1. 建立内容角色表

列出每个内容角色的职责和视觉人格:

text
角色 ID / 内容职责 / 主色 / 身体几何 / 标志器官 / 动作 / 道具 / 口号

保持 2–4 个持续出现的角色。封面允许三个阵营同框,普通内容页只突出一个阵营。

2. 规划页面和节奏

根据内容决定页数,不固定为 8 或 20 页。使用 references/layout-patterns.md 中的八种骨架。推荐节奏:

text
集合封面 → 宣言 → 角色/章节 → 数据或流程 → 反差页 → 产品舞台 → 总结阵容

避免连续三页使用同一主色或同一构图。每 3–4 页安排一页高留白宣言页。

3. 选择资产生产线

  • 为可转动、可重组的工具和装置创建 Three.js 对象:软管、眼球、胶囊、牙齿、烧瓶、轨道、棋盘舞台、巨型工具。
  • 为复杂原创角色调用真实图片模型。先写独立 brief,再生成白底原图,移除背景,验证 RGBA、透明边距和完整轮廓,最后加入 picker。
  • 禁止把程序化 Three.js 截图冒充图片模型生成资产。
  • 禁止从参考网站打包或分发角色、Logo、包装和商业图片。

读取 references/character-system.md 与 references/image-prompts.md 完成原创角色设计。

4. 构建 HTML Deck

从 demo.html 复制运行时并替换 PAGES 内容。保持以下 DOM:

html
<canvas id="cv"></canvas>
<div id="frame">…结构与导航…</div>
<div id="txt">…真文字…</div>
<div id="stk">…独立 PNG/SVG 素材…</div>

使用暂停、可 seek 的确定性动画。为截图和导出支持:

text
?p=0       指定页码
&still=1   停止动画并显示最终状态
&export=background
&export=object&object=<id>

5. 注册 3D 对象

暴露:

js
window.__PPTX_EXPORT__ = {
  version: 1,
  pageCount: () => PAGES.length,
  objectsForPage: pageIndex => [],
  apply: pageIndex => {}
};

注册示例:

js
registerPptx3D(heroGroup, 'hero-monster', { pages: [0, 3] });
registerPptx3D(toolGroup, 'diagonal-tool', { pages: [0] });

注册 Group 以整体编辑;需要拆件编辑时注册子对象。保持灯光、阴影、地板和环境未注册,使其留在背景层。

6. 视觉与技术 QA

读取 references/checklist.md。至少检查:

  • 1600×900 下全部页面无裁切;
  • 三色人格清晰且每页只有一个主阵营;
  • 角色轮廓能在 1 秒内读懂;
  • 文案没有烤进图片;
  • still=1 与正常动画最终状态一致;
  • WebGL 控制台无错误;
  • 移动端仍可浏览;
  • 减少动态偏好得到尊重。

7. 导出可编辑 PPTX

运行:

bash
python3 scripts/export-haoqi-pptx-editable.py \
  styles/playful-lab-3d/demo.html \
  -o playful-lab-3d-editable.pptx --scheme plus

当前共用的导出器按运行时元数据工作,不依赖 Haoqi 页面数量或对象名称。验证 PPTX 页数、真文本框、独立图片对象和原生形状,并回渲封面、数据页和结尾页。

输出要求

同时交付:

text
deck.html
 deck-editable.pptx
预览联系表
资产清单

说明可编辑边界:HTML 文案为真文本;注册 3D 主体和透明角色为独立图片;支持的色块、棋盘、线条为原生形状;实时材质、灯光和阴影保留在背景中。

资源

  • README.md:风格定位与使用方式
  • design-tokens.json:颜色、材质、尺度和动效 token
  • references/visual-language.md:完整视觉语言
  • references/character-system.md:角色设计协议
  • references/layout-patterns.md:八种页面骨架
  • references/image-prompts.md:原创角色提示词配方
  • references/motion-system.md:四类确定性动效
  • references/checklist.md:交付检查清单
  • PPTX_EXPORT_PROTOCOL.md:可编辑导出协议

Bundled files

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

Frequently asked questions

What does the Playful Lab 3d AI skill do?

This skill should be used when the user asks to "用顽趣实验室 3D 做 PPT", "做怪物实验室风格演示", "做角色驱动的 3D 产品发布", "playful lab deck", "monster 3D presentation", or wants a colorful red-blue-green character-led commercial deck with editable PPTX export.

Why use Playful Lab 3d on TypingMind?

Because you install it once and use it with any model. Playful Lab 3d 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 Playful Lab 3d in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jane-xiaoer/paper-collage-ppt/tree/main/styles/playful-lab-3d. 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 Playful Lab 3d?

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 Playful Lab 3d?

As many as you like. As long as a model supports skills, you can use Playful Lab 3d with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Playful Lab 3d AI skill free?

Yes. It is published on GitHub by Jane-xiaoer 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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