neurosurgical-book-parser
CommunityTurn neurosurgical texts into structured knowledge graph.
System Documentation
What problem does it solve?
This Skill extracts structured medical knowledge from neurosurgical and spine surgery textbooks, producing a typed knowledge graph of anatomical structures, surgical steps, clipping techniques, complications, and clinical relationships. It enables faster knowledge capture, multi-entity linking, and graph-based querying while retaining chapter and page context.
Core Features & Use Cases
- Chapter-aware extraction: preserves page and chapter context so identical terms map to different surgical scenarios.
- Domain-specific taxonomy: uses neurosurgical entity types (artery, aneurysm, procedure, technique, etc.) for precise modeling.
- Knowledge-graph ready output: data suitable for Neo4j or other graph databases to enable advanced queries, reasoning, and decision support.
- Use Case: convert the Seven Aneurysms textbook into a searchable knowledge graph for education, QA, and clinical planning.
Quick Start
Example: run the ingestion to parse MinerU output for Seven Aneurysms from mineru_output/Seven Aneurysms/auto/ and prepare data for graph loading.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: neurosurgical-book-parser Download link: https://github.com/brainbloodbarrier/seven-aneurysms/archive/main.zip#neurosurgical-book-parser Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.