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Haoqi 3d Wechat

Community
Jane-xiaoer
haoqi-3d-wechat

This skill should be used when the user asks to "用 3D 卡通风做公众号", "做一个好奇果冻风公众号排版", "把这篇文章排成 3D 卡通风", "做 3D 黏土风公众号版面", or requests a WeChat Official Account article using the Haoqi 3D / cute clay / jelly visual language. Produces WeChat-safe static HTML and image guidance; does not run Three.js inside the article.

Overview

PublisherJane-xiaoer
Repositorypaper-collage-ppt
Skill namehaoqi-3d-wechat
Stars
68
Forks
6
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Haoqi 3d Wechat 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/haoqi-3d/wechat
  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/haoqi-3d/wechat .claude/skills/haoqi-3d-wechat
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Haoqi 3d Wechat 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 Haoqi 3d Wechat 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 Haoqi 3d Wechat 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.

好奇果冻 3D · 公众号排版 Skill

将文章排成明亮、年轻、有 3D 卡通记忆点的微信公众号正文。保留好奇果冻 3D 的视觉语言,但将 WebGL 场景转换为微信可渲染的静态 PNG 与 inline HTML。Three.js 只用于生成、截图或挑选素材,不进入公众号正文。

适用边界

触发于 3D 卡通公众号、黏土风公众号、果冻 3D 文章、年轻化视觉排版等请求。用户只要网页 PPT 时,走仓库根目录的多风格 PPT 工作流;用户要剪纸/卡纸公众号时,走现有公众号剪纸工作流。用户明确要求混搭时,先说明两套视觉语言的差异,再只在章节边界混搭,不把两套组件随机交叉。

工作流

1. 对齐文章与输出

完整文章已提供时直接分析;只有主题时,最多询问受众、文章目的和期望长度,其余采用合理假设并明确记录。确定:标题、摘要、封面图、正文 2–5 张图、章节数量、CTA 与是否只生成预览还是创建微信草稿。

将文章拆成:钩子 → 解释 → 方法/案例 → 复盘 → CTA。每个段落只承担一个信息任务。优先短句、具体动作和读者收益,避免连续的风格自嗨描述。

2. 建立 3D 视觉预算

先为每章选择语义素材,再决定版式:

  • hero:一件承担记忆点的主物件或人物,通常占图片主体 30–60%。
  • support:最多两件帮助解释论点的物件。
  • accent:最多一件小型符号、贴纸或颜色节点。

使用 references/haoqi-3d-wechat-images.md 选择 balloon、camera、phone、gamepad、plant、skate 等素材。不要用随机黏土物件填空;物件必须对应记录、互动、成长、迭代等语义。

采用暖象牙、果冻蓝、珊瑚橙、柠檬黄、薄荷绿和深墨色的角色分工。避免整篇只用蓝色,也不要把 PPT 的蓝色渐变直接当成公众号底色。

3. 制作静态图片

使用已有 Deck 页面作为构图参考:

text
styles/haoqi-3d/demo.html?p=0&still=1&s=plus

使用 still=1 关闭动画,截取干净静态图;或从 styles/haoqi-3d/assets/clay/ 取透明 PNG,重新组合信息图。图片中不放中文、标题、数字、Logo 或关键说明,全部文字由正文 HTML 承载。按照 references/haoqi-3d-wechat-images.md 输出:头图 900×383,正文主图 900×506 或 900×675,单张不超过 1MB。

正文图片使用图片相框或 3D 卡片组件承托,不将图片直接散落在段落之间。上传前运行:

bash
python3 scripts/upload-body-images.py article.md --dry-run

需要发布时再去掉 --dry-run,将本地图替换为微信 CDN URL。不要把 AppSecret 写进文章、skill 或示例文件。

4. 生成微信安全 HTML

读取 references/haoqi-3d-wechat-components.md。使用主题:

text
assets/wechat-themes/haoqi-3d.json

组件只能使用适合微信的简单标签和 inline style。带 background-image 的面板外层必须是 styled <section>;微信可能清掉 styled <div> 的背景图。禁止 flex、grid、绝对定位、脚本、外链 CSS、WebGL、canvas、SVG、滤镜和混合模式。

保持以下组件节制:

  • 开场卡:每篇 1 个。
  • 黏土知识卡:每个大章节最多 2 个。
  • 数据/对比卡:最多 2 个。
  • CTA:结尾 1 个。
  • 正文配图:每个大章节最多 1 张。

让主题默认的 h1/h2/h3/p 负责大部分排版,不让卡片变成每段文字的背景。每个正文 <p> 明确设置颜色。列表项之间压紧标签,避免公众号把换行识别为空 bullet。

5. 预览、验证和草稿

先生成 dry-run HTML,再用移动宽度预览;不要把 Chrome 预览当成微信最终结果。运行:

bash
python3 scripts/validate-haoqi-wechat.py article.md

逐项检查 references/haoqi-3d-wechat-checklist.md。确认图片引用存在、禁止 CSS/HTML 特性未出现、图片大小合规。必要时使用 wechat-publisher 的 publish.py 走官方 API 创建草稿;先预检 token,只有 API 返回成功才报告草稿已创建。不要改走第三方 SaaS 或浏览器搬运发布。

6. 交付说明

交付时列出:文章 Markdown、dry-run HTML、封面图、正文图、主题 JSON、验证结果和微信草稿状态。明确说明:动态 3D 已转换为静态图片;修改文字在 Markdown/HTML 中完成,修改 3D 构图需要重新截图或重新组图。

Additional Resources

  • references/haoqi-3d-wechat-components.md — 微信安全的 3D 卡片、开场、步骤、数据和 CTA 组件。
  • references/haoqi-3d-wechat-images.md — 静态 3D 图片、尺寸、裁切、语义素材和提示词规则。
  • references/haoqi-3d-wechat-checklist.md — 公众号交付前的内容、视觉、HTML 和发布检查清单。
  • assets/wechat-themes/haoqi-3d.json — 可供 wechat-publisher 注入的主题 JSON。
  • examples/wechat-3d/article.md — 一篇可复制的示例文章结构。
  • scripts/validate-haoqi-wechat.py — 检查微信禁用标签、CSS 能力、图片大小和本地引用。

Frequently asked questions

What does the Haoqi 3d Wechat AI skill do?

This skill should be used when the user asks to "用 3D 卡通风做公众号", "做一个好奇果冻风公众号排版", "把这篇文章排成 3D 卡通风", "做 3D 黏土风公众号版面", or requests a WeChat Official Account article using the Haoqi 3D / cute clay / jelly visual language. Produces WeChat-safe static HTML and image guidance; does not run Three.js inside the article.

Why use Haoqi 3d Wechat on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jane-xiaoer/paper-collage-ppt/tree/main/styles/haoqi-3d/wechat. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Haoqi 3d Wechat?

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 Haoqi 3d Wechat?

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

Is the Haoqi 3d Wechat 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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