paper-deep-dive以结构化、证据驱动、读者友好的方式深度解读单篇论文。用于用户要求论文深读、详细分析、博客级讲解、研究脉络梳理、方法架构拆解、关键概念解释，或判断实验是否真的支撑论文 claim；也用于基于论文 PDF、arXiv 页面、附录、官方代码和项目页完成系统性论文解读。
Install via ClawdBot CLI:
clawdbot install tom-zju/paper-deep-diveGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/tensorflow/tensor2tensorUses known external API (expected, informational)
arxiv.orgAudited Apr 18, 2026 · audit v1.0
Generated May 8, 2026
研究人员或学生需要深入理解一篇论文，并撰写博客或技术文章。AI按结构化方式解析论文脉络、方法和实验，输出带证据标注的深度解读，节省大量文献阅读和整理时间。
研究生或研究员准备组会PPT时，需要快速提炼论文核心贡献、实验证据和局限性。AI可生成脉络图、方法架构图和实验分析，辅助制作高质量汇报材料。
审稿人或导师在评审论文时，需要判断实验是否支撑claim、方法是否有未验证假设。AI提供证据标注和局限性分析，帮助快速定位薄弱环节。
想要进入新领域的研究者，可以通过AI解读一篇关键论文，获得完整的背景脉络、核心概念解释和对比分析，快速建立心智地图。
工程师在内部技术分享中需要讲解一篇前沿论文。AI可生成从直觉到形式的解释，并画出架构图，降低听众理解门槛。
为学术机构或企业提供按调用次数或月度订阅的API接口，用户上传论文PDF或链接即可获得深度解读报告。
与文献管理工具（如Zotero、Mendeley）或论文检索平台（如arXiv、Semantic Scholar）合作，作为增值功能嵌入，按用户订阅分成。
为科技公司定制论文解读服务，将内部关注领域的论文持续解读并入库，供团队检索和学习，按团队规模收取年费。
💬 Integration Tip
提供简洁的REST API或Python SDK，支持PDF、arXiv链接和标题+摘要三种输入模式，并允许用户指定输出模式（Standard/Deep Dive）。
Scored May 8, 2026
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.
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