qiaomu-epub-book-generator — AI Tool by joeseesun

by joeseesun · AI Tool · ★ 128

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About qiaomu-epub-book-generator

📚 EPUB Book Generator 把你的 Markdown 文章一键生成专业电子书 从博客文章、技术笔记、学习资料生成精美 EPUB 电子书。自动下载图片、完美渲染代码块、生成专业封面,兼容微信读书和 Apple Books。 English | 中文 English What It Does Converts Markdown files into professional EPUB ebooks with: ✅ Auto-downloads remote images (http/https URLs) ✅ SVG to PNG conversion (perfect for web articles) ✅ Code blocks, tables, lists rendering ✅ Professional cover generation (SVG/HTML) ✅ Image compression (PNG→JPEG) ✅ WeChat Reading & Apple Books compatible Installation Option 1: npx (Recommended) Option 2: Git Clone Prerequisites [ ] Python 3.8+ () [ ] pip installed () [ ] Install dependencies: Verify: Quick Start Step 1: Prepare Markdown files Step 2: Generate EPUB Tell Claude Code: "Generate EPUB from /my-articles/" "Create ebook from my blog posts" "Make EPUB with title 'My Tech Blog' and author 'John Doe'" Or run directly: bash cd /.claude/skills/qiaomu-epub-book-generator/scripts python

Quick Facts

Stars128
Forks12
LanguagePython
CategoryAI Tool
Quality Score64.3691857461507/100
Last Updated2026-04-08
Created2026-04-06
Platformspython
Est. Tokens~8k

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Frequently Asked Questions

What is qiaomu-epub-book-generator?

qiaomu-epub-book-generator is 从 Markdown 文件生成专业 EPUB 电子书,支持封面、配图压缩、目录生成,兼容微信读书. It is categorized as a AI Tool with 128 GitHub stars.

What programming language is qiaomu-epub-book-generator written in?

qiaomu-epub-book-generator is primarily written in Python.

How do I install or use qiaomu-epub-book-generator?

You can find installation instructions and usage details in the qiaomu-epub-book-generator GitHub repository at github.com/joeseesun/qiaomu-epub-book-generator. The project has 128 stars and 12 forks, indicating an active community.

What are the best alternatives to qiaomu-epub-book-generator?

The top alternatives to qiaomu-epub-book-generator on Agent Skills Hub include redesigned-pancake, maui-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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