Huashu Md To Pdf logo

Huashu Md To Pdf

CommunityPopular
alchaincyf
huashu-md-to-pdf

将 Markdown 文档转换为专业的 PDF 白皮书,采用苹果设计风格。 支持完整的 Markdown 语法(代码块、表格、引用、列表等)。 自动生成封面、目录、页眉页脚。 使用场景:技术文档、白皮书、教程、报告等需要专业排版的 Markdown 文档。

Overview

Publisheralchaincyf
Repositoryhuashu-skills
Skill namehuashu-md-to-pdf
Stars
1.6K
Forks
244
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Huashu Md To Pdf 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/alchaincyf/huashu-skills.git /tmp/huashu-skills
mkdir -p .claude/skills
cp -r /tmp/huashu-skills/huashu-md-to-pdf .claude/skills/huashu-md-to-pdf
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Huashu Md To Pdf 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 Huashu Md To Pdf 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 Huashu Md To Pdf 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.

Markdown to PDF Skill

将 Markdown 文档转换为专业的苹果设计风格 PDF 白皮书。

核心功能

  1. 专业排版:书籍级排版质量,自动处理分页、孤行寡行
  2. 苹果设计:SF 字体系统、现代简洁风格、专业配色
  3. 完整目录:自动提取章节结构,双列布局,可点击跳转
  4. Markdown 完美支持:代码块、表格、引用、列表等全部正确渲染

使用方法

基础用法

bash
# 转换单个文件
python scripts/convert.py input.md

# 指定输出文件名
python scripts/convert.py input.md -o "我的白皮书.pdf"

# 自定义标题和作者
python scripts/convert.py input.md --title "技术白皮书" --author "花叔"

图片路径

Markdown 里的相对路径图片,是相对 md 文件自身所在目录解析的,目录名和文件名带中文都可以:

markdown
![示意图](图片/架构图.png)     ← 和 md 文件同级的「图片」目录
![示意图](./assets/arch.png)

找不到的图片会在转换时打印警告并列出路径。以前这种情况是静默跳过的,PDF 照样生成、只是没有图。

已知未解决:某些环境下 macOS「预览」打开是乱码

有用户报告生成的 PDF 在 macOS「预览」里是乱码,浏览器打开正常。这个问题还没有解决办法,原因也还没定位——在一台用 Arial Unicode MS 渲染中文的机器上复现不出来,而报告者的字体环境和 weasyprint 版本都不清楚。

不要试图用 weasyprint 的 full_fonts=True 绕过它。 实测:macOS 上的中文字体(PingFang.ttc、Songti.ttc、Hiragino Sans GB.ttc)都是 TrueType Collection,full_fonts=True 会把整个 collection 的原始字节塞进 PDF 的 /FontFile2(magic 是 ttcf 而不是合法的 \x00\x01\x00\x00),结果是文件暴涨到几十 MB,而且照样乱码——实测一段中文从 10 KB 变成 43 MB,渲染出来是「Oě 据⊤」。它让问题更糟,不是逃生出口。

碰到乱码时可以先试:升级 weasyprint、或在 CSS 里换一个非 collection 的字体。

Markdown 文档要求

你的 Markdown 文档应该遵循以下结构:

markdown
# 文档标题

## 1. 第一章
### 1.1 第一节
### 1.2 第二节

## 2. 第二章
### 2.1 第一节

关键规则

  • 主章节:## 1. 标题(数字 + 点 + 空格 + 标题)
  • 子章节:### 1.1 标题(数字.数字 + 空格 + 标题)
  • 这样才能正确提取目录

设计特点

封面设计

  • 淡灰色渐变背景
  • 大标题:64pt,简洁现代
  • 副标题和元信息

目录设计

  • 双列布局,单页展示
  • 主章节粗体,子章节缩进
  • 可点击跳转到对应章节

正文排版

  • SF 字体系列(苹果设计语言)
  • 行高 1.7,舒适阅读
  • 章节自动分页
  • 孤行寡行控制

代码块

  • 浅灰背景 + 细边框
  • 圆角 8px
  • SF Mono 等宽字体
  • 自动避免分页

表格

  • 清晰网格线
  • 浅灰表头
  • 自动保留表头(长表格分页时)

配置选项

如果需要自定义样式,可以修改 scripts/convert.py 中的 CSS 变量:

python
# 主色调
PRIMARY_COLOR = '#06c'      # 苹果蓝
TEXT_COLOR = '#1d1d1f'      # 主文本黑色
GRAY_COLOR = '#86868b'      # 浅灰色

# 字体大小
COVER_TITLE_SIZE = '64pt'
H2_SIZE = '22pt'
H3_SIZE = '17pt'
BODY_SIZE = '11pt'

常见问题

Q: 目录为什么是空的?

A: 确保你的 Markdown 使用了正确的章节格式:

  • ## 1. 标题 而不是 ## 标题
  • ### 1.1 标题 而不是 ### 标题

Q: 代码块显示不正确?

A: 确保使用三个反引号包裹:

markdown
```python
def hello():
    print("Hello")
```

Q: 表格格式乱了?

A: 使用标准的 Markdown 表格语法:

markdown
| 列1 | 列2 |
|-----|-----|
| 值1 | 值2 |

Q: 如何修改字体?

A: 编辑 scripts/convert.py 中的 CSS,修改 font-family 属性。

Q: 生成的 PDF 太大?

A: 检查是否有大量图片,考虑压缩图片或使用外链。

依赖安装

首次使用需要安装 Python 依赖:

bash
pip3 install markdown2 weasyprint

如果遇到 WeasyPrint 安装问题(macOS):

bash
brew install pango
pip3 install weasyprint

示例

生成技术文档

bash
python scripts/convert.py tech-guide.md -o "技术指南.pdf"

生成白皮书

bash
python scripts/convert.py whitepaper.md --title "产品白皮书" --author "团队"

脚本说明

  • scripts/convert.py - 主转换脚本
  • scripts/styles.css - CSS 样式定义(已嵌入脚本)
  • templates/cover.html - 封面模板(已嵌入脚本)

技术实现

本 Skill 使用:

  • markdown2:Markdown 解析(支持扩展语法)
  • WeasyPrint:HTML to PDF 转换(支持 CSS3)
  • 苹果设计系统:SF 字体、专业配色、现代排版

更新日志

v1.0 (2025-12-24)

  • 初始版本
  • 支持完整 Markdown 语法
  • 苹果设计风格
  • 自动目录生成
  • 书籍级排版质量

花叔出品 | AI Native Coder · 独立开发者 公众号「花叔」| 30万+粉丝 | AI工具与效率提升 代表作:小猫补光灯(AppStore付费榜Top1)·《一本书玩转DeepSeek》

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 Huashu Md To Pdf AI skill do?

将 Markdown 文档转换为专业的 PDF 白皮书,采用苹果设计风格。 支持完整的 Markdown 语法(代码块、表格、引用、列表等)。 自动生成封面、目录、页眉页脚。 使用场景:技术文档、白皮书、教程、报告等需要专业排版的 Markdown 文档。

Why use Huashu Md To Pdf on TypingMind?

Because you install it once and use it with any model. Huashu Md To Pdf 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 Huashu Md To Pdf in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alchaincyf/huashu-skills/tree/master/huashu-md-to-pdf. 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 Huashu Md To Pdf?

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 Huashu Md To Pdf?

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

Is the Huashu Md To Pdf AI skill free?

It is published on GitHub by alchaincyf. Check the repository for licensing terms. 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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