
zachary709/autopaperskill
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AutoPaperSkill helps Agent find, deduplicate, save, parse, and explain research papers with structured local libraries and evidence-grounded Chinese reports.
Overview
AutoPaperSkill is a paper organization skill designed for AI agents. Its goal is not simply to "save a PDF" for you, but to turn a paper into a local resource package that can be searched, read, and reviewed over the long term. 1. Find papers: Find reliable sources based on title, DOI, arXiv ID, conference year, or research direction. 2. Save papers: Put PDFs, metadata, source code links, project pages, images, and analysis results into a unified directory. 3. Read papers: Generate structured Chinese reports and refresh the papers.html on the paper library homepage. The best way to use it is: clearly explain the goal to the agent, and have the agent call AutoPaperSkill to search, deduplicate, save, analyze, render, and refresh the homepage. - The number of papers is increasing, and file names and folders are starting to get out of control. - Want to know if a paper has already been saved to avoid downloading again. - Want a unified Chinese reading report for every paper. - Want to search and preview papers on a local HTML homepage. - Want an agent to help organize papers but want results to be in a reviewable local file. You don't need to memorize the installation script yourself. Just send the following passage to the agent that supports skill installation: If your agent environment does not support skill installation, you can also ask it to specify what capabilities or permissions are missing, then decide whether to switch to manual installation. AutoPaperSkill requires a thesis library directory. This directory stores all thesis data packages and generates a homepage papers.html. - paper.pdf is the original paper text. - metadata.json is information such as title, author, year, DOI, arXiv, source links, etc. - analysis.json is the result of the structured analysis. - report.pdf is the Chinese reading report. - images/ Saves images extracted or rendered from the paper. - sources/ Stores webpages, project pages, or supplementary materials for review.
Overview (machine translated)
AutoPaperSkill is a paper organization skill designed for AI agents. Its goal is not simply to “save a PDF” for you, but to turn a paper into a local resource package that can be searched, read, and reviewed over the long term.
It mainly does three things:
- Find papers: Find reliable sources based on title, DOI, arXiv ID, conference year, or research direction.
- Archive the paper: Put the PDF, metadata, source code links, project pages, images, and analysis results into a unified directory.
- Reading Papers: Generate structured Chinese reports and refresh the homepage of the paper library
papers.html.
The best way to use it is: clearly explain the goal to the agent, and have the agent call AutoPaperSkill to search, deduplicate, save, analyze, render, and refresh the homepage.
Who is it suitable for
If you often encounter these situations, AutoPaperSkill can be quite useful:
- The number of papers increases, and file names and folders start to spiral out of control.
- Check whether a paper has been saved to avoid duplicate downloads.
- Hope each paper will have a unified Chinese reading report.
- Want to search and preview papers on a local HTML homepage.
- You want an agent to help you organize your paper, but you want the results to be in a local file that can be reviewed.
Install the Agent
You don’t need to memorize the installation script yourself. Just send the following passage to the agent that supports skill installation:
If you have already cloned your repository locally, you can say:
If your agent environment does not support skill installation, you can also ask it to specify what capabilities or permissions are missing, then decide whether to switch to manual installation.
Preparing a thesis library
AutoPaperSkill requires a thesis library directory. This directory stores all thesis data packages and generates the homepage papers.html.
It is recommended that you prepare a dedicated directory first, for example:
Then he said to the agent:
If you don’t have a table of contents yet, you can also have the agent create the following:
Most common usage
Analyze a paper
If your agent supports sub-agents or isolation tasks, you can add a sentence:
Batch analysis of multiple papers
Only refresh the homepage
Only re-render the report
If the report content already exists, but the formula or style in the PDF is not displayed correctly, you can say:
Plagiarism Check but Not Save
What does the generated result look like?
Each paper usually forms an independent data package, structured similarly:
Among them:
paper.pdfis the original text of the paper.metadata.jsonis information such as title, author, year, DOI, arXiv, source link, etc.analysis.jsonis the result of structured analysis.report.pdfis a Chinese reading report.images/Save images extracted or rendered from the paper.sources/Save the webpage, project page, or supplementary materials for review.
The root directory of the paper database also includes:
This is the local thesis homepage, which can be opened in a browser to search for and select papers, and preview the original text or report.
Recommended Work Habits
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Install
npx skillfish add zachary709/autopaperskill