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Use when downloading academic papers from arXiv, searching for papers, or managing paper downloads
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Baseado na classificação ocupacional SOC
Use when coordinating the complete academic paper writing workflow, managing stage transitions, or initializing a new paper project
Use when implementing experimental code, scaffolding research projects, or following coding best practices for academic work
Use when running experiments, analyzing results, designing comparative experiments, or validating findings
Use when generating research hypotheses, designing experiments, or evaluating hypothesis feasibility
Use when conducting literature review, searching for academic papers, identifying research gaps, or analyzing existing work
Use when drafting manuscript sections, formatting citations, polishing writing style, or preparing paper for submission
| name | paper-downloader |
| description | Use when downloading academic papers from arXiv, searching for papers, or managing paper downloads |
用于搜索和下载学术论文的Skill，支持arXiv、OpenAlex等多个学术数据库。
本Skill依赖以下MCP服务（已配置在.opencode/mcp.json）：
@futurelab-studio/latest-science-mcp - 主要搜索和下载工具@hamid-vakilzadeh/mcpsemanticscholar - Semantic Scholar深度分析（可选）在多个学术数据库中搜索相关论文。
支持的数据源:
arxiv - arXiv预印本openalex - OpenAlex学术图谱pmc - PubMed Centraleuropepmc - 欧洲PMCbiorxiv - 生物预印本core - CORE聚合资源使用示例:
搜索arXiv上关于"machine learning"的最新论文
搜索OpenAlex上引用数超过100的"transformer"论文
在PubMed上搜索"cancer immunotherapy"相关论文
通过arXiv ID或其他标识符下载PDF文件。
下载规则:
./papers/{arxiv-id}.pdf 或 {title}.pdf使用示例:
下载arXiv论文2301.12345
下载论文2301.12345到./my-papers目录
批量下载这些论文: 2301.12345, 2302.23456, 2303.34567
获取论文的完整元数据、摘要和引用信息。
使用示例:
获取论文2301.12345的详细信息
分析这篇论文的引用网络
获取作者John Doe的所有论文
search-papers命令在arXiv搜索# 列出分类
npx -y @futurelab-studio/latest-science-mcp list-categories --source=arxiv
# 搜索论文
npx -y @futurelab-studio/latest-science-mcp search-papers \
--source=arxiv \
--query="your search query" \
--count=10
# 获取最新论文
npx -y @futurelab-studio/latest-science-mcp fetch-latest \
--source=arxiv \
--category=cs.AI \
--count=20
# 获取高引用论文
npx -y @futurelab-studio/latest-science-mcp fetch-top-cited \
--concept="machine learning" \
--since=2024-01-01 \
--count=50
# 获取论文详情
npx -y @futurelab-studio/latest-science-mcp fetch-content \
--source=arxiv \
--id=2301.12345
# 使用curl下载
mkdir -p ./papers
curl -L -o ./papers/2301.12345.pdf https://arxiv.org/pdf/2301.12345.pdf
# 使用wget下载
wget -P ./papers https://arxiv.org/pdf/2301.12345.pdf
如果 latest-science-mcp 可用，优先使用它：
search-papers命令curl或MCP下载PDF./papers/ 目录{arxiv-id}.pdf 格式https://arxiv.org/pdf/{id}.pdf网络错误
ID格式错误
YYMM.number (如: 2301.12345)category/YYMMnumber (如: hep-ex/0307015)下载失败
PDF损坏
paper-literature-review - 文献调研和综述生成paper-hypothesis - 基于文献生成研究假设paper-code - 实验代码编写paper-experiment - 实验执行和结果分析paper-writing - 论文撰写