{"slug":"917dhj-deeppapernote","name":"DeepPaperNote","description":"AI agent skill that reads academic papers and generates structured Obsidian notes.","long_description":"<div align=\"center\">\n\n# DeepPaperNote\n\n**Turn a complex paper into an Obsidian note you will actually want to keep.**\n\n[English](./README.md) | [简体中文](./README.zh-CN.md)\n\n[![Homepage](https://img.shields.io/badge/homepage-online-2563eb)](https://917dhj.github.io/DeepPaperNote/)\n[![Status](https://img.shields.io/badge/status-stable-16a34a)](https://github.com/917Dhj/DeepPaperNote)\n[![Release](https://img.shields.io/github/v/release/917Dhj/DeepPaperNote?display_name=tag&color=0f766e)](https://github.com/917Dhj/DeepPaperNote/releases/tag/v2.0.0)\n[![License](https://img.shields.io/badge/license-MIT-c9a227)](./LICENSE)\n[![Agents](https://img.shields.io/badge/agents-Claude%20Code%20%2B%20Codex-7c3aed)](./SKILL.md)\n[![Output](https://img.shields.io/badge/output-Obsidian-16a34a)](./references/obsidian-format.md)\n[![Figures](https://img.shields.io/badge/figures-image--first-f59e0b)](./references/figure-placement.md)\n[![Writing](https://img.shields.io/badge/writing-model--first-7c3aed)](./references/model-synthesis.md)\n[![Changelog](https://img.shields.io/badge/changelog-latest-0f766e)](./CHANGELOG.md)\n\n</div>\n\n[![DeepPaperNote Hero](./assets/hero-academic.svg)](https://917dhj.github.io/DeepPaperNote/)\n\n**Do you often run into this situation: you want to study a classic paper carefully, but the hardest part is no longer reading it — it is turning that reading into usable notes?** The real time sink usually looks like this:\n\n- jumping back and forth between PDFs, Zotero, web pages, and your note app\n- manually organizing metadata, abstracts, figures, and the method backbone\n- understanding part of the paper, but still spending a long time turning that understanding into structured notes\n- ending up with a note that looks complete but is not something you actually want to revisit later\n\nDeepPaperNote is built for exactly that layer of repetitive, mechanical, but very expensive work. 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