DeepPaperNote: Fast Research Notes
DeepPaperNote generates high-quality Obsidian-style research notes by deep-reading a single paper, integrating with various AI tools like Claude Code and Codex.
- •You need to summarize complex research papers efficiently
- •You're looking to organize notes from a paper in a structured, Obsidian-compatible format
- •You want to leverage AI for in-depth paper analysis without manually processing the content
To generate notes for a paper named `example_paper.pdf`, you could use a command like `python deep_paper_note.py -i example_paper.pdf -o example_notes.md --agent ClaudeCode`
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/deeppapernote && curl -fsSL https://workflowstacks.com/api/skills/deeppapernote/claude-skill -o ~/.claude/skills/deeppapernote/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
DeepPaperNote: Fast Research Notes is a large Python project (~20k lines across 38 code files, plus 34 test files). You install it into your AI tool with one command; there is nothing to run yourself. Last commit this month, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3skills/deeppapernote/SKILL.mdInside skills/ — an example of what the AI is told to do
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/deeppapernote && curl -fsSL https://workflowstacks.com/api/skills/deeppapernote/claude-skill -o ~/.claude/skills/deeppapernote/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Do this with a working workflow
Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.
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