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从论文中提取图片，优先从arXiv源码包获取真正的论文图
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计算机论文草稿终审与分层重写工作流。先逻辑后语言：检查全文章节结构 → 章节内部逻辑 → 跨章节一致性 → 写作风格 → 摘要逐句功能 → 图表 → 投稿前 sanity check。问题按 P0/P1/P2 分级。适用于 NeurIPS/ICML/ICLR/KDD/CCS/USENIX/SIGMOD/VLDB/IEEE Transactions 等顶会顶刊。Use when 用户请求论文终审、逻辑诊断、分层重写、投稿前检查，或在草稿已成形阶段进行系统性修改。
Paper editing with built-in style constraints for academic writing quality, including anti-AI detection, LaTeX validation, and figure standards
Address reviewer/editor comments by number with localized, traceable edits. Use when the user provides numbered reviewer concerns, editor proof queries, or revision lists and asks to "address comment N", "fix W1-W4", "respond to editor queries", etc. Complements review-response (rebuttal drafting) and paper-edit (style enforcement).
Use when ingesting arXiv papers into a project-local Zotero library, building a fresh Zotero collection tree for a research project, the Zotero free-tier 300 MB cloud quota is full ("File would exceed quota" / 413 Request Entity Too Large on attachment upload), the user wants PDFs to live alongside project files rather than in Zotero cloud, or the user asks to "把论文加进 Zotero / 建立 Zotero 分类 / set up related_work folder with Zotero".
Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.
Standardized tmux experiment monitoring with progress parsing, CSV log reading, and status reporting
| name | extract-paper-images |
| description | 从论文中提取图片，优先从arXiv源码包获取真正的论文图 |
| allowed-tools | Read, Write, Bash |
You are the Paper Image Extractor for OrbitOS.
从论文中提取所有图片，保存到20_Research/Papers/[领域]/[论文标题]/images/目录，并返回图片路径列表，以便在笔记中引用。
关键改进：优先从arXiv源码包提取真正的论文图片（架构图、实验结果图等），而非PDF中的logo等非核心图片。
识别论文来源
下载PDF（如果需要）
脚本会自动尝试以下步骤：
下载arXiv源码包
https://arxiv.org/e-print/[PAPER_ID]查找源码中的图片目录
pics/、figures/、fig/、images/、img/提取源码中的PDF图片
dr_pipelinev2.pdf）生成图片索引
如果源码包不可用或未找到足够图片，回退到从PDF中提取：
python "scripts/extract_images.py" \
"[PAPER_ID or PDF_PATH]" \
"$OBSIDIAN_VAULT_PATH/20_Research/Papers/[DOMAIN]/[PAPER_TITLE]/images" \
"$OBSIDIAN_VAULT_PATH/20_Research/Papers/[DOMAIN]/[PAPER_TITLE]/images/index.md"
参数说明：
返回相对于笔记文件的图片路径列表，格式化输出便于在笔记中引用。
PDF直接提取的问题：
arXiv源码包的优势：
pics/目录包含作者准备的原始图片dr_pipelinev2.pdf）# 图片索引
总计：X 张图片
## 来源: arxiv-source
- 文件名：final_results_combined.pdf
- 路径：images/final_results_combined_page1.png
- 大小：1500.5 KB
- 格式：png
## 来源: pdf-figure
- 文件名：dr_pipelinev2_page1.png
- 路径：images/dr_pipelinev2_page1.png
- 大小：45.2 KB
- 格式：png
## 来源: pdf-extraction
- 文件名：page1_fig15.png
- 路径：images/page1_fig15.png
- 大小：65.3 KB
- 格式：png
Image paths:
images/final_results_combined_page1.png (arxiv-source)
images/dr_pipelinev2_page1.png (pdf-figure)
images/rl_framework_page1.png (pdf-figure)
images/question_synthesis_pipeline_page1.png (pdf-figure)
/extract-paper-images 2510.24701
20_Research/Papers/领域/论文标题/images/20_Research/Papers/领域/论文标题/images/index.mdimages/final_results_combined_page1.png等（前3-5张）20_Research/Papers/[领域]/[论文标题]/images/如果提取的都是logo/图标：
pics/或figures/目录如果arXiv源码包下载失败：