Book Distiller
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Follow https://skillhub.cn/install/skillhub.md and install @user_c7a704f9/book-distiller.
About this skill
Problem
Paper books, PDFs, EPUBs, scans, and pasted text often need manual reading, clipping, and summarization before they become reusable knowledge. Book Distiller normalizes input into book_text.txt, then extracts core ideas, key arguments and evidence, quotations, terms, and transferable mental models for notes, courses, or personal knowledge bases.
How it works
The skill uses a Python toolchain in scripts/ with extraction, distillation, and multi-format delivery:
extract_text.py: processes.pdf,.epub,.txt,.md, and images; without OCR it writesimages_manifest.jsonfor page-by-page agent transcription.distill.py: chunks text, calls an LLM or followsreferences/distillation-prompt.md, and producesdistillation.jsonmatchingreferences/output-schema.md.build_outputs.py: createsreport.md,mindmap.md,mindmap.html,cards.csv, andoutline.md.
Boundaries
It is suited to distilling ideas, short quotations, and study materials, not to reproducing entire copyrighted books. For recent publications, commercial distribution, or client work, prefer public-domain or authorized texts, keep anchor source labels, and avoid long excerpts.
Use Cases
- Turn scanned professional books into page-ordered text and a structured review report.
- Distill PDF coursebooks into key claims, terms, and flashcards exportable to Anki.
- Compile views from several books into a training outline and short-video script draft.
- Batch-convert a personal book folder into unified book_text.txt and a Mermaid mind map.
Best For
- Instructors who need to turn textbooks into lesson notes and review cards quickly.
- Researchers who want scanned books and PDFs distilled into structured personal notes.
- Knowledge creators who turn book summaries into scripts, quotes, and content topics.
- Training leads who compile multiple books into course outlines and training materials.
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