DeepPaperNote
Deeply reads a single paper and generates high-quality Obsidian-style research notes.
- Type
- Agent Skill
- Open source
- Yes
- GitHub Stars
- ★ 1.0k
- Source
- skill-github
- Repository
- github.com/917Dhj/DeepPaperNote
Overview
DeepPaperNote is an Agent skill designed for deeply reading a single academic paper and generating high-quality Obsidian-style research notes. It works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more. This skill automates the most time-consuming and error-prone parts of literature review—such as material collection, structure building, and contextual placement of figures—allowing users to focus on the core ideas of the paper. Ideal for researchers and students using Obsidian or Zotero.
Capabilities
- ▪Deep reading of a single paper
- ▪Generation of high-quality research notes
- ▪Support for multiple AI agents
- ▪Automated material collection
- ▪Structured note generation
- ▪Contextual figure placement
Use cases
Setup
npx skills add 917Dhj/DeepPaperNote; python3 -m pip install PyMuPDF
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
Which AI agents are supported?
Supports Claude Code, Codex, Cursor, Copilot, Gemini CLI, and others.
What dependencies are required?
Requires Node environment, Python 3.10 or higher, and the PyMuPDF library.
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