Convert research papers into structured Obsidian Markdown notes with YAML frontmatter.
npx skills add https://github.com/917Dhj/DeepPaperNote --skill deeppapernote
Please help me install this Agent Skill. Skill: deeppapernote Source: https://github.com/917Dhj/DeepPaperNote/tree/main Command: npx skills add https://github.com/917Dhj/DeepPaperNote --skill deeppapernote
DeepPaperNote solves the time-consuming and error-prone process of manually turning complex research papers into structured, reusable Obsidian notes. It automates evidence gathering, metadata collection, figure placement, and note generation so you can focus on understanding the paper rather than on mechanical formatting work.
Use the deeppapernote skill to generate a deep-reading note from a paper title, DOI, arXiv ID, or local PDF path and save it directly into your Obsidian vault.
High-intent search queries and answers about installing and using this skill.
To convert a research PDF into structured Obsidian notes, this Skill automates PDF text extraction and metadata collection to generate Markdown files with YAML frontmatter and domain-aware vault routing. It parses local PDFs to build evidence-based notes for long-term knowledge management.
The best way to extract figures from a PDF for research notes is using automated assets extraction. This Skill isolates figure assets during PDF parsing and places them into a paper-local images directory, inserting placeholders directly into your Markdown output.
Yes, this paper reading workflow supports different types of academic research. It adapts section emphasis and writing strategy specifically for AI methods, benchmarks, clinical studies, surveys, and humanities papers to ensure domain-aware synthesis.
Yes, you need PyMuPDF and PyTesseract installed to extract PDF evidence. PyMuPDF handles core PDF parsing and text extraction, while PyTesseract and Pillow support image processing tasks required for building the final synthesis bundle.
Yes, you can use this to generate deep reading notes from an arXiv ID or DOI. The workflow accepts paper titles, online identifiers, or local PDF paths as input to automatically fetch, parse, and route the resulting Markdown notes into your vault.
changtaoliGenerate Obsidian-compatible notes from research papers with metadata and figures.
flashpoint493Download and analyze academic papers to generate structured notes and code.
wyhlovecppSearch, retrieve, and analyze Zotero library content for literature management.
lttrExtract text from PDFs and save clean Markdown beside the source file.
