Tell your AI assistant "转PDF" and get a publication-quality document. No config, no templates, no LaTeX.
An agent skill that gives AI coding assistants (Claude Code, Cursor, Copilot, Gemini CLI, etc.) the ability to convert Markdown into professionally typeset PDFs — with a single natural language request.
Every existing Markdown-to-PDF tool falls into one of two traps:
-
Too simple — Pandoc/wkhtmltopdf produce passable output for English, but CJK mixed text gets butchered: wrong fonts, broken line wraps, "Claude Code" split across lines, 年月日 rendered as □□□.
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Too complex — LaTeX produces beautiful output but requires a 4GB TeX distribution, arcane syntax, and breaks on every CJK edge case. No AI assistant can reliably drive it.
any2pdf is the sweet spot: one Python file, one dependency (reportlab), zero config — and it handles every CJK/Latin edge case because we hit them all building real 200-page Chinese technical reports.
The skill teaches your AI assistant an interactive workflow, not just a CLI command:
You: "把这个报告转成PDF"
Agent: asks about design style, frontispiece, watermark, back cover
Agent: runs the conversion with all your choices
One sentence from you → a complete, branded document.
Every fix in this codebase came from a real rendering bug in a real report:
- Mixed text wrapping: "Chaofan Shou" won't split across lines; Chinese text breaks naturally at character boundaries
- Canvas CJK: Dates like "2026年4月1日" render correctly everywhere — cover, headers, footers
- Book-quality fonts: Palatino + 宋体 (macOS), Times + SimSun (Windows) — not Arial + fallback
- Merged heading recovery: Input like
# Part## Chapteron one line? Auto-split before parsing
| macOS | Windows | Linux | |
|---|---|---|---|
| Serif | Palatino | Times New Roman | Liberation/Noto Serif |
| CJK | Songti SC (宋体) | SimSun/微软雅黑 | Noto CJK |
| Mono | Menlo | Consolas | DejaVu Mono |
| Setup | pip install reportlab |
pip install reportlab |
pip install reportlab |
Fonts are auto-discovered from system paths. Missing fonts? You get a helpful error with the exact install command for your OS.
npx skills add lovstudio/any2pdf -g -yWorks with 25+ AI agents: Claude Code, Cursor, GitHub Copilot, Gemini CLI, Codex, Cline, Warp, and more.
10 built-in themes — from classic LaTeX-inspired to modern minimalist. Click to preview.
- Cover page with title, subtitle, author, version, stats lines
- Clickable table of contents with PDF bookmark sidebar
- Frontispiece — full-page image after cover (AI-generated or local)
- Running headers — report title + current chapter name
- Running footers — author/brand, page number, date
- Watermark — faint diagonal text on every content page
- Back cover — banner image or text branding (QR codes, business cards)
- 10 design themes — from warm academic to ink wash minimalist
pip install reportlab
python lovstudio-any2pdf/scripts/md2pdf.py \
--input report.md \
--output report.pdf \
--title "My Report" \
--author "Author Name" \
--theme warm-academic \
--watermark "DRAFT" \
--toc trueSee SKILL.md for the full 20+ argument reference.
MIT









