book-core-concept-extraction

Extract full book text from PDFs and update 核心概念 in book 框架.md.

2|Updated Apr 28, 2026
One-click install
npx skills add https://github.com/anyekoutouming/anyekoutouming --skill book-core-concept-extraction
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: book-core-concept-extraction
Source: https://github.com/anyekoutouming/anyekoutouming/tree/main/book-core-concept-extraction
Command: npx skills add https://github.com/anyekoutouming/anyekoutouming --skill book-core-concept-extraction

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the extraction of complete book text from PDFs (no page limit) and updates the 核心概念 section in book 框架.md, streamlining knowledge capture and repository quality.

Core Features & Use Cases

  • Full-text extraction: converts entire books into a usable textual corpus for analysis.
  • 核心概念 generation: derives structured core concepts and populates or updates the corresponding 框架.md.
  • Use Case: a researcher rapidly builds a concept map for a lengthy title and keeps its framework in sync with the full text.

Quick Start

Run the workflow to process books/ PDFs, generate the 全文 and 核心概念, and update 框架.md accordingly.

Frequently Asked Questions about book-core-concept-extraction

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

FAQPage Schema
How do I extract full text from a large PDF book with no page limit?

Full text extraction from large PDF books is automated by processing entire documents without page limits. The workflow converts complete PDFs into a searchable textual corpus, enabling downstream concept extraction and framework document synchronization.

How do I generate structured core concepts from an extracted book text?

Structured core concepts are generated from the extracted full text by deriving key ideas and populating the 核心概念 section in framework documents. This process transforms raw book text into a concept-based knowledge base for research workflows.

Do I need specific Python scripts in my repository to run the book concept extraction workflow?

Yes, the workflow requires the scripts extract_book_full_text.py, extract_core_concepts.py, and related tooling to be present in the repository. These scripts handle the full text extraction and concept generation processes respectively.

What is the best way to keep a book framework document in sync with the full text?

Keeping framework documents in sync with full text is achieved by automatically updating the 核心概念 section in 框架.md after extraction. This ensures the structured framework remains consistent with the complete book content during research workflows.

Can I build a searchable concept map from lengthy PDF titles for research?

Building a concept map from lengthy PDF titles is supported by deriving structured core concepts from the full text. A researcher can rapidly construct a knowledge base and maintain framework document synchronization for extensive publications.

Are there limitations when extracting text from PDFs with complex layouts or images?

The metadata does not specify handling of complex layouts or image-based PDFs. The Skill focuses on converting full book text into a corpus and generating structured core concepts, relying on the required repository scripts for extraction accuracy.