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从PDF学术论文中自动提取结构化信息（标题、作者、单位、期刊信息、研究问题、方法、结论），生成Markdown格式的论文总结文档；适用于需要快速梳理多篇论文核心内容的场景，如文献综述、学术研究或知识管理
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Based on SOC occupation classification
Convert files and office documents to Markdown. Supports PDF, DOCX, PPTX, XLSX, images (with OCR), audio (with transcription), HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs and more.
Use this skill when users need to search academic papers, download research documents, extract citations, or gather scholarly information. Triggers include: requests to "find papers on", "search research about", "download academic articles", "get citations for", or any request involving academic databases like arXiv, PubMed, Semantic Scholar, or Google Scholar. Also use for literature reviews, bibliography generation, and research discovery. Requires OpenClawCLI installation from clawhub.ai.
Search academic papers and conduct literature reviews using OpenAlex API (free, no key needed). Use when the user needs to find scholarly papers by topic/author/DOI, explore citation chains, get structured paper metadata (title, authors, abstract, citations, DOI, open access URL), fetch full text of open access papers, or conduct automated literature reviews with theme identification and synthesis. Triggers on requests involving academic search, paper lookup, citation analysis, literature review, research synthesis, or scholarly reference gathering.
Use AI4Scholar author tools to search scholars, inspect author profiles, retrieve an author's papers, compare experts, identify potential reviewers, map labs or collaborators, and verify whether an author is the correct person.
Use AI4Scholar auto_cite to add real citations to academic text and return formatted references and BibTeX. Trigger for automatic citation insertion, APA/IEEE/Vancouver/Nature citation support, reference generation, BibTeX export, or checking whether claims have real supporting papers.
Use AI4Scholar to trace citation networks: citing papers, references, PubMed related papers, backward/forward citation search, classic paper discovery, mechanism literature expansion, and reviewer-style citation gap checks.
| name | pdf-paper-summary |
| description | 从PDF学术论文中自动提取结构化信息（标题、作者、单位、期刊信息、研究问题、方法、结论），生成Markdown格式的论文总结文档；适用于需要快速梳理多篇论文核心内容的场景，如文献综述、学术研究或知识管理 |
| dependency | {"python":["pypdf==5.1.0"]} |
pypdf==5.1.0
标准流程:
scripts/extract_paper_info.py 解析PDF内容论文总结.md 文件可选分支:
场景1:单篇论文总结
./paper.pdf论文总结.md场景2:批量论文总结
论文总结_序号.md