Turn an arXiv paper URL or PDF into extracted text, word frequency tables, and reference links. Create additional materials such as a two-person audio discussion, an interactive webpage, presentation slides, and a visual summary.
中文简介正在准备中。当前显示英语简介。
其他高等院校教师与数据科学家在追踪前沿学术时，当需要深度解析arXiv论文，用此技能可一键下载PDF并自动生成词频分析、双人播客、交互式网页、PPT演示与总结图，将数小时的文献阅读转化为多媒体内容，效率提升十倍！
安装前可以查看交给 AI 代理的指令内容。
标准流程:
scripts/download_pdf.py 下载 arXiv PDF--url (arXiv 论文网址), --output (输出 PDF 文件路径)scripts/extract_text.py 提取纯文本--pdf (PDF 文件路径), --output (输出 txt 文件路径)scripts/analyze_word_frequency.py 进行词频统计--txt (txt 文件路径), --output (输出 csv 文件路径)scripts/text_to_speech.py 将文本转为语音--txt (txt 文件路径), --output (输出 wav 文件路径)scripts/dialogue_to_podcast.py 将对话脚本转换为语音--dialogue (对话脚本文件路径), --output (输出 wav 文件路径)scripts/generate_html.py 生成交互式网页--txt (txt 文件路径), --word_freq (词频 csv 文件路径), --output (输出 html 文件路径)scripts/generate_ppt.py 生成演示文稿--txt (txt 文件路径), --output (输出 pptx 文件路径)scripts/extract_references.py 提取引用链接--txt (txt 文件路径), --output (输出 csv 文件路径)可选分支:
# 下载 PDF
python scripts/download_pdf.py --url "https://arxiv.org/abs/2301.00001" --output ./user-data/paper.pdf
# 提取文本
python scripts/extract_text.py --pdf ./user-data/paper.pdf --output ./user-data/paper.txt
# 词频分析
python scripts/analyze_word_frequency.py --txt ./user-data/paper.txt --output ./user-data/word_freq.csv
# 语音合成
python scripts/text_to_speech.py --txt ./user-data/paper.txt --output ./user-data/paper.wav
# 播客对话（智能体生成对话脚本后）
python scripts/dialogue_to_podcast.py --dialogue ./user-data/dialogue.txt --output ./user-data/podcast.wav
# 生成网页
python scripts/generate_html.py --txt ./user-data/paper.txt --word_freq ./user-data/word_freq.csv --output ./user-data/analysis.html
# 生成 PPT
python scripts/generate_ppt.py --txt ./user-data/paper.txt --output ./user-data/presentation.pptx
# 提取引用
python scripts/extract_references.py --txt ./user-data/paper.txt --output ./user-data/references.csv
python scripts/analyze_word_frequency.py --txt ./user-data/paper.txt --output ./user-data/word_freq.csv
python scripts/extract_references.py --txt ./user-data/paper.txt --output ./user-data/references.csv
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Organize AI agents into execution, management, and review roles for complex projects. Choose preset or custom teams, share project context and decisions, and combine their discussions and work into meeting records, feasibility reports, or implementation outputs.
中文简介正在准备中。当前显示英语简介。
Generate character images, backgrounds, synthetic speech, and music for product videos featuring 小省导购员, a digital shopping presenter. Coordinate these assets with InfiniteTalk to produce a 25-second vertical video made from five scenes.
中文简介正在准备中。当前显示英语简介。
Convert PDF, Word, and Excel documents into structured Markdown for search and knowledge bases. The skill tries three parsers in sequence when needed and returns metadata, a confidence score, and the parser used.
中文简介正在准备中。当前显示英语简介。
Organize parsed documents into four color-coded cards covering facts, explanations, risks, and actions. Preserve source references and generation details so readers can review evidence, identify uncertainty, and consider next steps in research, financial, or legal analysis.
中文简介正在准备中。当前显示英语简介。
Record operations across multiple AI agents and connect events into a traceable history. Search records by tracking ID, time window, or responsible component to support audits and investigations, with local storage available when the vector database fails.
中文简介正在准备中。当前显示英语简介。
Screen documents and external URLs before they enter a processing workflow. Check blocked domains and document permissions, then produce a pass or reject decision, a risk report, and a tracking ID for later review.
中文简介正在准备中。当前显示英语简介。