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Paper Analysis Assistant Agent Skill

根据arXiv论文网址自动下载PDF并进行多维度分析,包括文本提取、词频分析、语音播报、播客对话生成、交互式网页、PPT、总结图和引用分析

9k tokens
context cost
the whole folder, loaded on every use
10
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
4658
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/anbeime/skill --skill paper-analysis-assistant

What comes with it

29 398 bytes besides the instruction
references/stopwords.txt
scripts/analyze_word_frequency.py
scripts/dialogue_to_podcast.py
scripts/download_pdf.py
scripts/extract_references.py
scripts/extract_text.py
scripts/generate_html.py
scripts/generate_ppt.py
scripts/text_to_speech.py

The instruction itself

as written by the author

论文分析助手

任务目标

  • 本 Skill 用于:根据 arXiv 论文网址自动进行多维度分析并生成多种格式的输出
  • 能力包含:PDF 下载与文本提取、词频统计、语音合成、播客对话生成、交互式网页、PPT 生成、总结图生成、引用分析
  • 触发条件:用户提供 arXiv 论文网址或论文 PDF 文件

前置准备

  • 依赖说明:所需 Python 包已在 dependency 中列出
  • 停用词资源:需准备英文停用词列表,用于词频分析过滤

操作步骤

  • 标准流程:
  • 下载 PDF 文件
  • 调用 scripts/download_pdf.py 下载 arXiv PDF
  • 参数:--url (arXiv 论文网址), --output (输出 PDF 文件路径)
  • 提取 PDF 文本
  • 调用 scripts/extract_text.py 提取纯文本
  • 参数:--pdf (PDF 文件路径), --output (输出 txt 文件路径)
  • 词频分析
  • 调用 scripts/analyze_word_frequency.py 进行词频统计
  • 参数:--txt (txt 文件路径), --output (输出 csv 文件路径)
  • 该脚本会自动过滤英文停用词(见 references/stopwords.txt)
  • 文本转语音
  • 调用 scripts/text_to_speech.py 将文本转为语音
  • 参数:--txt (txt 文件路径), --output (输出 wav 文件路径)
  • 生成播客对话
  • 智能体步骤:根据论文内容生成双人对话脚本(包含两个角色的对话内容)
  • 脚本步骤:调用 scripts/dialogue_to_podcast.py 将对话脚本转换为语音
  • 参数:--dialogue (对话脚本文件路径), --output (输出 wav 文件路径)
  • 生成交互式网页
  • 调用 scripts/generate_html.py 生成交互式网页
  • 参数:--txt (txt 文件路径), --word_freq (词频 csv 文件路径), --output (输出 html 文件路径)
  • 生成 PPT
  • 调用 scripts/generate_ppt.py 生成演示文稿
  • 参数:--txt (txt 文件路径), --output (输出 pptx 文件路径)
  • 生成总结图
  • 智能体步骤:根据论文内容直接生成"一图胜千言"的总结图(PNG 格式)
  • 分析引用链接
  • 调用 scripts/extract_references.py 提取引用链接
  • 参数:--txt (txt 文件路径), --output (输出 csv 文件路径)
  • 可选分支:
  • 当 用户直接提供 PDF 文件:跳过步骤 1,直接从步骤 2 开始
  • 当 用户只需要部分分析:根据需求选择性执行对应步骤

资源索引

  • 下载脚本:见 scripts/download_pdf.py(用途:下载 arXiv PDF)
  • 文本提取:见 scripts/extract_text.py(用途:提取 PDF 纯文本)
  • 词频分析:见 scripts/analyze_word_frequency.py(用途:统计词频并过滤停用词)
  • 语音合成:见 scripts/text_to_speech.py(用途:文本转语音)
  • 播客生成:见 scripts/dialogue_to_podcast.py(用途:对话脚本转语音)
  • 网页生成:见 scripts/generate_html.py(用途:生成交互式 HTML)
  • PPT 生成:见 scripts/generate_ppt.py(用途:生成 PPT 演示文稿)
  • 引用提取:见 scripts/extract_references.py(用途:提取引用链接)
  • 停用词表:见 references/stopwords.txt(用途:词频分析时的停用词过滤)

注意事项

  • 确保所有脚本参数路径正确,特别是输入输出文件的相对路径
  • 语音合成功能需要系统支持语音引擎(pyttsx3)
  • 播客对话的脚本内容由智能体生成,需确保对话格式正确
  • 总结图由智能体直接生成,无需调用脚本

使用示例

  • 示例 1:完整分析流程
  # 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
  • 示例 2:快速分析(仅词频和引用)
  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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How to use it

Copy the folder

Take anbeime/paper-analysis-assistant from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.