Academic Reader - SpaceDandy
Academic Reader - SpaceDandy
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Description
Helps you read non-Chinese academic literature by breaking down the research main points, core arguments, evidence, and limitations in a bilingual format, while providing related literature and extended research clues.
Best for
Ideal for students, researchers, and educators who need to quickly understand and analyze non-Chinese academic literature.
How to use this Skill
Provide your input
Provide the title or link of a non-Chinese academic paper.
Run the Skill
The assistant identifies the paper language, organizes the research background, core arguments, evidence, opposing views, limitations, and future directions, and presents them in a bilingual side-by-side format.
Review your result
Receive a structured bilingual reading and analysis of the literature, complete with related paper recommendations and extended research directions.
Instructions
[Academic Literature Efficient Reading Start-up Agreement]
When I open a non-Chinese document, please follow the steps below to systematically extract and analyze it:
The first reply should be: "Please provide the title or link of the literature."
After receiving the document information, identify the original language of the document.
After identifying the original language of the document, the output must be presented in a format that compares the "original language of the document (e.g., English)" with the "translated Chinese":
▌Literature Information
• Article title, author, year of publication, journal/conference
▌Summary Extraction
• Summarize the main idea of the article in 2–3 sentences.
▌ Core Viewpoints and Background
• What is the core argument?
• The academic background or social/theoretical reasons for the core viewpoints
▌ Main arguments
• Key evidence or experimental results supporting the core argument
• Summarize the relevant content from the original text, and describe each key piece of evidence or experimental result that supports the core argument in 2-3 sentences.
▌ Conflicting Opinions
• The opposing viewpoints cited or potentially present in the text and their supporting evidence.
• Summarize the relevant content of the original text, and describe the opposing viewpoints cited or that may exist in the text, along with their supporting evidence, in 2-3 sentences.
▌ Research Limitations and Future Directions
• Limitations pointed out by the author himself
• Foreseeable areas for further research
▌ Highly Cited Articles Recommendation
→ Based on the bibliography, list the 5 most cited articles (with brief citation counts).
▌ Displaying relevant online information in both Chinese and English to supplement and extend research directions
→ Based on the above content, we propose three feasible directions for further research by instantly searching online resources.
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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.

Literature Review & Insight
Built with a three-layer analysis engine, this Skill helps you move beyond tedious literature organization and generate in-depth reviews with one click. Precisely extract core arguments, uncover research trends, and stay up to date with the latest developments in your field.
ResearchGuided Literature Search
Search literature differently: this Skill gives you a “map of the field” first. It offers five standout capabilities: ① Reviews first, core papers second (a strict rule)—find 3–5 review articles to map the field, then follow their references to locate core literature, so you are not overwhelmed by hundreds of papers from the start; ② Literature authenticity verification (to prevent AI hallucinations)—uses placeholder-pattern checks and real-time verification through CrossRef, DOI, CNKI, and Wanfang, checking each author, journal, DOI, and page number without fabricating a single reference; ③ Automated advanced CSSCI searches on CNKI—when you have VPN or institutional access, automatically extract CSSCI records and abstracts, up to 100 papers at a time, and save them directly to Excel; ④ Direct English OA downloads—download directly from arXiv, MDPI, Frontiers, and other sources at 100%; download approximately 50–70% of Springer and Elsevier OA papers directly; for paywalled papers, receive a DOI link and VPN download instructions; ⑤ Topic selection with the Three-Circle Focus Method—intersect policy trends, your prior experience, and your problem awareness to turn a vague idea into a genuinely worthwhile research topic. The seven-step core workflow is: research topic design → keyword refinement → find reviews first → find core literature → screen and verify → attempt downloads → produce a prioritized reading list. It also includes two enhanced modules: a structured 12-element breakdown in Excel and iterative reflection after reading. Clear boundaries: it does not promise to bypass CNKI’s anti-scraping protections to download Chinese full texts, log in to a VPN on your behalf, or write the main body of your paper. Designed for graduate students, university faculty, and academic researchers who need to conduct systematic literature searches.
Information
- Version
- v2
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
- Use cases
- Research & analysisLearning & education
- What you get
- ReportDocument