paper-deep-read
CommunityTurn papers into actionable Obsidian notes.
AuthorElephenman
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Paper Deep Read automates the extraction and interpretation of scientific literature, turning PDFs into structured Obsidian notes with cross-paper links, YAML frontmatter, and a scalable knowledge graph workflow.
Core Features & Use Cases
- Full-text visual extraction: figures, tables, and formulas from PDFs.
- Obsidian-native outputs: YAML frontmatter, backlinks, tags, Callout blocks, and Dataview-friendly structure.
- 6-phase execution pipeline with batch processing, QA, and knowledge-graph construction across multiple papers.
- Knowledge management: automatic PaperVault organization, MOC updates, and cross-paper concept linking.
- Use case: researchers batch-read dozens of papers, produce standardized notes, and build a literature knowledge graph.
Quick Start
Feed a PDF to Paper Deep Read to generate a complete Obsidian note in PaperVault.
Dependency Matrix
Required Modules
pymupdf
Components
scriptsreferences
💻 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: paper-deep-read Download link: https://github.com/Elephenman/paper-deep-read/archive/main.zip#paper-deep-read Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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