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Prepare_Book

Split PDF books by table of contents and convert chapters to Markdown.

Updated Aug 27, 2026
Search Tags:#pdf#llm#markdown conversion#book analysis#text splitting#toc analysis
One-click install
npx skills add https://github.com/tjdwls101010/Claude_Seongjin --skill prepare-book
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Prepare_Book
Source: https://github.com/tjdwls101010/Claude_Seongjin/tree/main/plugins/Study/skills/Prepare_Book
Command: npx skills add https://github.com/tjdwls101010/Claude_Seongjin --skill prepare-book

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pymupdf, pymupdf4llm, python-dotenv, and includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of preparing large PDF books for analysis by Large Language Models, preventing context overflow and ensuring chapter-based organization.

Core Features & Use Cases

  • TOC Analysis: Automatically analyzes the Table of Contents to understand the book's structure.
  • Intelligent Splitting: Splits the PDF into manageable chunks based on the TOC, optimizing for LLM context windows.
  • Markdown Conversion: Converts each PDF chunk into a Markdown file for easier processing.
  • Use Case: You have a 500-page PDF textbook. Use this Skill to split it into chapters, convert each chapter to Markdown, and prepare it for an LLM to summarize or answer questions about specific sections.

Quick Start

Prepare the PDF book located at '/path/to/book.pdf' for LLM analysis by splitting it based on its table of contents and converting the output to Markdown.

Frequently Asked Questions about Prepare_Book

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

FAQPage Schema
How do I split a large PDF book for LLM analysis without causing context overflow?▼

To prevent LLM context overflow, you can split a large PDF book by analyzing its Table of Contents and converting each selected chapter into a standalone Markdown file. This ensures manageable chunks for accurate LLM processing.

What is the best way to convert PDF chapters to Markdown for text splitting?▼

The best way to convert PDF chapters to Markdown is through TOC-based splitting, which automatically analyzes the document's structure, selects an optimal hierarchical split level, and extracts each section as clean Markdown.

Does this PDF to Markdown conversion tool require Python environment setup?▼

Yes, this PDF to Markdown conversion requires a Python environment setup. It specifically depends on installing the pymupdf and pymupdf4llm libraries to execute the scripts needed for TOC analysis and text extraction.

How does TOC analysis determine the optimal split level for a PDF document?▼

TOC analysis determines the optimal split level by evaluating the book's structural hierarchy to divide the PDF into chapters. It identifies logical boundaries within the Table of Contents to create context-appropriate Markdown chunks.

Can I extract and describe images during PDF to Markdown conversion?▼

While the core conversion focuses on text splitting, you can handle image description integration by using a separate skill. The main tool prepares the Markdown structure, allowing subsequent image processing workflows.

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