Academic Lens: Deep Paper Notes
Description
Get to the essence of papers from a critical perspective. Generate deep notes that can be directly imported into Obsidian in 15 minutes—not just summaries, but revealing theoretical dialogues, causal mechanisms, and research gaps. Supports full-discipline adaptation, three-level reading modes, intelligent routing by paper type, and hallucination protection.
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Paper Quick Note Generator
A 30-page paper due for tomorrow's group meeting; 40 papers to review for literature survey, each read from scratch, only to forget key points and lose that quotable line. Half of research time is spent on 'reading.' Paste an arXiv link or paper text and instantly receive a structured speed-reading note ready for use. ✨ Core Capabilities 1. Six-part speed-reading framework: Research Question / Core Method / Main Innovation / Key Conclusion / Limitations & Doubts / One-Sentence Summary 2. Automatically extracts 'quotable quotes' with location markers; copy directly for literature reviews. 3. Contribution breakdown: What's new compared to existing work, explained in plain language. 4. Critical perspective: Methodological flaws, overclaims, reproducibility risks pointed out point by point. 5. Optional outputs: Group meeting presentation outline / literature card / draft review paragraph / multi-paper comparison table. 6. Chinese-English terminology glossary, not machine-translated. 📱 Use Cases Graduate student thesis proposals and literature reviews, group meeting paper sharing, researchers tracking frontiers, tech professionals diving into technical papers; output can be posted on Zhihu or WeChat public accounts as academic content to attract readers. Make papers thinner—so you spend more time thinking than slogging through text.
Dual-Mode Deep Read for Papers
A 30-page paper, and your advisor expects you to present it at tomorrow's group meeting. A literature review requires reading 50 papers, but deep understanding of each is impossible. Worse still — after spending two hours grinding through one paper, you only remember 'it seems important,' but the specific innovation, methodological flaws, and quotable insights are all gone. Paste the paper content and get two reports at once: Part A is a professional-level analysis for researchers in your field — from deep methodological analysis to quantitative evaluation of innovations to a critical perspective. Part B is a concise version for yourself, your advisor, or cross-disciplinary colleagues to grasp the core value in 3 minutes, including curated quotable quotes. ✨ Core Capabilities 1. Dual-mode output: Part A professional depth + Part B quick extraction, one paper, two reports 2. Deep methodological analysis: goes beyond restating methods to analyze design cleverness, core assumptions, and alternatives 3. Quantitative innovation evaluation: scores across problem, method, data, and conclusion dimensions — no vague praise 4. Reproducibility assessment: itemized checks for missing information (unreleased code/data/parameters) 5. Critical perspective: methodological flaws, overclaims, overlooked factors, each with original text evidence 6. Quotable quote extraction: retains original English sentences + Chinese paraphrases, ready for literature reviews 📱 Use Cases - Graduate group meeting paper presentations: Part A directly expands into slides, Part B as opening introduction - Literature reviews/thesis proposals: batch-read related papers to quickly build a field map - Cross-disciplinary collaboration: let collaborators understand core papers in your field in 3 minutes - Research blogs/social media: Part B with slight edits becomes a paper interpretation post Together with 'Paper Speed Reading Notes' and 'Academic Illustrations,' it forms a research trio — speed reading for overview, deep reading to master key points, and illustrations to showcase core findings.
Literature Review Assistant
Writing a literature review is an inevitable challenge for graduate students—but turning information from 50 papers into a logically structured review, rather than a mere summary list, relies on methodology, not brute force. Tell it your research direction and the core papers you've already read. It first builds a framework—field map, thematic sorting, debates and gaps—then, after your confirmation, helps organize the language chapter by chapter. It doesn't write the paper for you, but helps you present the papers you've read with academic logic. ✨ Core Capabilities 1. Review framework generation: Introduction → Field map → Thematic sections → Debates and gaps → Outlook, standard academic structure 2. Field map: Sort domain development by timeline/school of thought, highlight milestone papers 3. In-depth thematic analysis: Individual paper introduction + intra-group comparison + overall contributions and limitations 4. Debate and gap analysis: At least 3 points of debate + 3 research gaps, with specific literature sources 5. Academic writing norms: Citation format, bilingual terminology, critical language rather than mere description 📱 Use Cases - Literature review chapter for graduate thesis/proposal writing - Related Work section of journal papers - Quick literature overview + structured notes when entering a new field - Used in combination with "论文速读笔记" and "论文双模研读" to form a "Read → Analyze → Synthesize" literature workflow ⚠️ Note: This skill does not perform real-time academic search. You need to provide information on papers you have already read (title/author/key points), and it helps you organize and write.
Academic Lens: Deep Paper Notes
Description
Get to the essence of papers from a critical perspective. Generate deep notes that can be directly imported into Obsidian in 15 minutes—not just summaries, but revealing theoretical dialogues, causal mechanisms, and research gaps. Supports full-discipline adaptation, three-level reading modes, intelligent routing by paper type, and hallucination protection.
Related Skills
View allPaper Quick Note Generator
A 30-page paper due for tomorrow's group meeting; 40 papers to review for literature survey, each read from scratch, only to forget key points and lose that quotable line. Half of research time is spent on 'reading.' Paste an arXiv link or paper text and instantly receive a structured speed-reading note ready for use. ✨ Core Capabilities 1. Six-part speed-reading framework: Research Question / Core Method / Main Innovation / Key Conclusion / Limitations & Doubts / One-Sentence Summary 2. Automatically extracts 'quotable quotes' with location markers; copy directly for literature reviews. 3. Contribution breakdown: What's new compared to existing work, explained in plain language. 4. Critical perspective: Methodological flaws, overclaims, reproducibility risks pointed out point by point. 5. Optional outputs: Group meeting presentation outline / literature card / draft review paragraph / multi-paper comparison table. 6. Chinese-English terminology glossary, not machine-translated. 📱 Use Cases Graduate student thesis proposals and literature reviews, group meeting paper sharing, researchers tracking frontiers, tech professionals diving into technical papers; output can be posted on Zhihu or WeChat public accounts as academic content to attract readers. Make papers thinner—so you spend more time thinking than slogging through text.
Dual-Mode Deep Read for Papers
A 30-page paper, and your advisor expects you to present it at tomorrow's group meeting. A literature review requires reading 50 papers, but deep understanding of each is impossible. Worse still — after spending two hours grinding through one paper, you only remember 'it seems important,' but the specific innovation, methodological flaws, and quotable insights are all gone. Paste the paper content and get two reports at once: Part A is a professional-level analysis for researchers in your field — from deep methodological analysis to quantitative evaluation of innovations to a critical perspective. Part B is a concise version for yourself, your advisor, or cross-disciplinary colleagues to grasp the core value in 3 minutes, including curated quotable quotes. ✨ Core Capabilities 1. Dual-mode output: Part A professional depth + Part B quick extraction, one paper, two reports 2. Deep methodological analysis: goes beyond restating methods to analyze design cleverness, core assumptions, and alternatives 3. Quantitative innovation evaluation: scores across problem, method, data, and conclusion dimensions — no vague praise 4. Reproducibility assessment: itemized checks for missing information (unreleased code/data/parameters) 5. Critical perspective: methodological flaws, overclaims, overlooked factors, each with original text evidence 6. Quotable quote extraction: retains original English sentences + Chinese paraphrases, ready for literature reviews 📱 Use Cases - Graduate group meeting paper presentations: Part A directly expands into slides, Part B as opening introduction - Literature reviews/thesis proposals: batch-read related papers to quickly build a field map - Cross-disciplinary collaboration: let collaborators understand core papers in your field in 3 minutes - Research blogs/social media: Part B with slight edits becomes a paper interpretation post Together with 'Paper Speed Reading Notes' and 'Academic Illustrations,' it forms a research trio — speed reading for overview, deep reading to master key points, and illustrations to showcase core findings.
Literature Review Assistant
Writing a literature review is an inevitable challenge for graduate students—but turning information from 50 papers into a logically structured review, rather than a mere summary list, relies on methodology, not brute force. Tell it your research direction and the core papers you've already read. It first builds a framework—field map, thematic sorting, debates and gaps—then, after your confirmation, helps organize the language chapter by chapter. It doesn't write the paper for you, but helps you present the papers you've read with academic logic. ✨ Core Capabilities 1. Review framework generation: Introduction → Field map → Thematic sections → Debates and gaps → Outlook, standard academic structure 2. Field map: Sort domain development by timeline/school of thought, highlight milestone papers 3. In-depth thematic analysis: Individual paper introduction + intra-group comparison + overall contributions and limitations 4. Debate and gap analysis: At least 3 points of debate + 3 research gaps, with specific literature sources 5. Academic writing norms: Citation format, bilingual terminology, critical language rather than mere description 📱 Use Cases - Literature review chapter for graduate thesis/proposal writing - Related Work section of journal papers - Quick literature overview + structured notes when entering a new field - Used in combination with "论文速读笔记" and "论文双模研读" to form a "Read → Analyze → Synthesize" literature workflow ⚠️ Note: This skill does not perform real-time academic search. You need to provide information on papers you have already read (title/author/key points), and it helps you organize and write.
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