/install paper-reading-fourier
Paper Reading
Read a paper and produce structured notes following the standard template.
User Input Required
Before starting, the user must provide:
- 论文信息: 本地 PDF 路径、arXiv URL 或论文标题(三选一)
- PDF 存储路径: 下载/保存 PDF 的绝对路径(如
/tmp/paper.pdf) - 笔记输出路径: 最终生成的笔记文件的绝对路径(如
/Users/xxx/notes/Paper Title.md)
Workflow
1. Fetch the PDF
Given a local path, arXiv URL, or paper title from the user:
python scripts/fetch_pdf.py \x3Cpath_or_url_or_title> -o \x3Cpdf_output_path>
- Local path: validates existence, returns absolute path
- arXiv URL: downloads PDF (supports both
/abs/and/pdf/URL formats) - Paper title: searches arXiv API by title, downloads the most relevant result
-o参数指定 PDF 存储的绝对路径(由用户提供)- Prints the fetched PDF path to stdout
2. Extract PDF Content
pip install pdfplumber # if not already installed
python scripts/read_pdf.py \x3Cpdf_path> [-p \x3Cpage_range>] [-o \x3Cextracted_text_path>]
- Extracts text and tables from the PDF
- Optionally specify page range (e.g.
-p 1-10or-p 3) -o可选,指定提取文本的输出路径;不指定则输出到 stdout- Outputs markdown-formatted text
3. Read and Analyze
Read the extracted text. For papers with complex layouts (columns, figures, equations), supplement extraction with direct PDF reading using the pdf tool if available, or ask the user to clarify specific sections.
4. Generate Notes
Produce notes following the standard template.
Note Structure (summary)
# 一、基本信息
1.paper:《标题》
2.github:链接或未知
3.会议:会议名或未知
# 二、文章理解
## 1. 研究背景与动机 (Motivation)
## 2. 核心问题 (Problem Statement)
## 3. 解决方法 (Methodology)
## 4. 实验结果 (Experiments)
Key Requirements
- Language: Chinese with English technical terms preserved
- Formulas: LaTeX format (
$...$inline,$$...$$block) - Images: preserve original image URLs with
format - Key concepts: bold with
**...** - Deep dives / proofs / interview-level knowledge: wrap in
:::infoblocks - PyTorch code: use python code blocks
- Strict 4-level heading hierarchy:
# → ## → ### → #### - Numerical results: use specific numbers to show improvements
5. Save Notes
Save the generated notes to the path specified by the user (e.g. /Users/xxx/notes/Paper Title.md).
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install paper-reading-fourier - 安装完成后,直接呼叫该 Skill 的名称或使用
/paper-reading-fourier触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
paper-reading 是什么?
Read academic papers from local PDF files, arXiv URLs, or paper titles and generate structured reading notes in Chinese. Use when the user provides a PDF fil... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 119 次。
如何安装 paper-reading?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install paper-reading-fourier」即可一键安装,无需额外配置。
paper-reading 是免费的吗?
是的,paper-reading 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
paper-reading 支持哪些平台?
paper-reading 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 paper-reading?
由 Fourier(@fourierer)开发并维护,当前版本 v1.0.2。