Convert PDFs into Chinese LaTeX knowledge notes with rendered PDFs.
npx skills add https://github.com/JOZKER/ebook-render-pdf --skill ebook-render-pdf
Please help me install this Agent Skill. Skill: ebook-render-pdf Source: https://github.com/JOZKER/ebook-render-pdf/tree/main/ebook-render-pdf Command: npx skills add https://github.com/JOZKER/ebook-render-pdf --skill ebook-render-pdf
Turn a PDF ebook into a professional Chinese knowledge-summary LaTeX note and rendered PDF. Use when Codex receives a book, paper-like ebook, textbook chapter, scanned PDF, or image-only PDF and must detect whether OCR is needed, preserve and reuse the book's figures instead of ignoring them, extract and reorganize the core knowledge points, and deliver a complete summary package with extracted assets and a compiled PDF. Use especially when the user wants key-point summaries, chapter takeaways, exam review notes, memorization-first notes, or a concise knowledge map derived from a PDF.
Provide the PDF path and optional mode; the skill will generate a full LaTeX note package and a rendered PDF.
High-intent search queries and answers about installing and using this skill.
To convert a scanned PDF into structured LaTeX notes, you need an OCR-capable workflow that detects text coverage, applies OCR if necessary, and reconstructs the extracted knowledge points into a compilable .tex document.
Yes, the PDF note generation process preserves original figures, formulas, and tables by extracting them as reusable assets, ensuring the final compiled LaTeX document maintains the source material's visual integrity.
Yes, you can generate exam review notes from a textbook PDF by utilizing the exam-cram mode, which reorganizes core knowledge points into concise, memorization-first summaries suitable for test preparation.
Yes, extracting text from image-only PDFs requires OCRMYPDF, PyMuPDF, and PyPDF to inspect image density, apply optical character recognition, and extract assets for the final LaTeX document.
The best way to summarize a large ebook into a Chinese knowledge map is using a multi-agent workflow that extracts key points, preserves provenance, and outputs a structured .tex file alongside a rendered PDF.
PDF to LaTeX conversion may fail in multi-agent workflows if the OCR-capable workflow lacks proper LaTeX templates or if asset extraction tools like PyMuPDF cannot correctly parse the source document's image density.
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