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quasi:process-book

Convert EPUB or PDF books into structured chapter analyses and overviews.

2|Updated Mar 8, 2026
Search Tags:#knowledge synthesis#book processing#pdf analysis#epub extraction#chapter analysis#academic summary
One-click install
npx skills add https://github.com/giraphant/quasi --skill quasi-process-book
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: quasi:process-book
Source: https://github.com/giraphant/quasi/tree/main/skills/process-book
Command: npx skills add https://github.com/giraphant/quasi --skill quasi-process-book

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the entire process of converting a book (from PDF or EPUB) into structured summaries and analyses, saving researchers and students significant time and effort.

Core Features & Use Cases

  • Automated Chapter Extraction: Splits books into individual chapters, handling both EPUB and PDF formats, including OCR for scanned documents.
  • Content Analysis: Analyzes each chapter based on a defined topic and preamble, generating structured Markdown outputs.
  • Overview Generation: Compiles analyses from all chapters into a comprehensive book overview, including key arguments, concept indexes, and recommendations.
  • Use Case: Process an 800-page academic handbook, obtaining chapter-by-chapter analysis and a full book summary, allowing you to quickly grasp complex information.

Quick Start

Use the quasi:process-book skill to process the book named 'oxford-handbook-sociology-body'.

Frequently Asked Questions about quasi:process-book

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate PDF and EPUB analysis to generate academic book summaries?▼

Automated PDF and EPUB analysis splits books into chapters, analyzes content via parallel agents, and compiles structured Markdown summaries to generate academic book overviews. It handles OCR for scanned documents and extracts key arguments and concept indexes.

How do I extract and analyze individual chapters from a large PDF book?▼

Extracting and analyzing chapters from a large PDF book uses an automated pipeline to split the document, process each section in parallel, and output structured Markdown files. This allows you to quickly grasp complex information from massive academic handbooks.

Can I process scanned PDF documents for knowledge synthesis and chapter analysis?▼

Processing scanned PDF documents supports knowledge synthesis by applying OCR during chapter extraction. This allows the analysis pipeline to handle image-based academic texts and generate structured summaries just like native digital files.

Does book processing support resuming interrupted chapter analysis tasks?▼

Book processing supports breakpoint resumes, allowing you to continue interrupted chapter analysis tasks without restarting. This ensures long-running extraction and parallel agent analysis jobs on large monographs can recover seamlessly.

What is the best way to compile a comprehensive overview from multiple chapter analyses?▼

Compiling a comprehensive overview from chapter analyses aggregates parallel agent outputs into a final book summary. It extracts key arguments, builds a concept index, and generates recommendations to synthesize knowledge across the entire text.

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