phd-deepread
CommunityTurn PDFs into structured notes with AI insights.
Authorheleninsights-dot
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Researchers and power users often spend excessive time turning academic PDFs into actionable, Obsidian-ready literature notes. This skill automates extraction, AI-assisted note generation, and critical-thinking canvases to streamline systematic reviews and knowledge-building workflows.
Core Features & Use Cases
- Text-First PDF Extraction: Uses PyMuPDF for fast text extraction with optional OCR fallback (Tesseract) for scanned or complex pages.
- Structured Note Generation: Template-driven generation that produces YAML frontmatter notes compatible with Dataview and Obsidian.
- Critical-Thinking Canvases: 9-node JSON Canvas outputs for deep, structured critique and reasoning.
- Workflow Automation: End-to-end orchestration of extract → generate → canvas, including batch processing.
Quick Start
Run phd-deepread extract paper.pdf to produce markdown_output, then run generate and canvas to complete the workflow.
Dependency Matrix
Required Modules
PyMuPDFpytesseractPillow
Components
scripts
💻 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: phd-deepread Download link: https://github.com/heleninsights-dot/phd-deepread-workflow/archive/main.zip#phd-deepread Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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