Convert a Markdown file to a styled PDF using pandoc and weasyprint.
npx skills add https://github.com/JoeCP17/LLM-Dot-files --skill md-to-pdf-joecp17
Please help me install this Agent Skill. Skill: md-to-pdf Source: https://github.com/JoeCP17/LLM-Dot-files/tree/main/codex/skills/md-to-pdf Command: npx skills add https://github.com/JoeCP17/LLM-Dot-files --skill md-to-pdf-joecp17
Exporting Markdown into a shareable, print-ready document is often tedious because it requires a manual conversion pipeline or fragile styling steps.
.md file into a styled PDF using pandoc and weasyprint.![[image.png]]) relative to the source note.~/Downloads without uploading content.Ask to convert the file /path/to/note.md to a PDF and save it into your Downloads folder.
High-intent search queries and answers about installing and using this skill.
Converting Markdown to PDF is done locally using pandoc and weasyprint, which transforms a single .md file into a styled, print-ready document. The output is saved directly to your Downloads folder with overwrite protection.
Obsidian image handling supports standard Markdown paths and wikilink-style embeds like ![[image.png]]. The conversion process resolves these relative to the source note, ensuring images appear correctly in the final PDF.
Pandoc, weasyprint, and python3 are required dependencies for this Markdown to PDF conversion. These tools handle the document parsing and CSS styling needed to produce the final PDF layout.
For safe local README export, this process operates entirely offline without uploading content. It validates exactly one input path and writes the styled PDF result to ~/Downloads, preventing accidental overwrites.
The conversion applies embedded CSS and sensible typography for headings, code blocks, tables, and links. This ensures the generated PDF maintains a clean, document-like layout suitable for archiving.
The conversion validates exactly one input path, meaning it is designed for single-file processing. Attempting to batch convert multiple Markdown files simultaneously is not supported by the current workflow.
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