Query the arXiv API and save paper metadata as JSON files.
npx skills add https://github.com/idealutopia00/Auto_research --skill search-papers
Please help me install this Agent Skill. Skill: search-papers Source: https://github.com/idealutopia00/Auto_research/tree/main/skills/search-papers Command: npx skills add https://github.com/idealutopia00/Auto_research --skill search-papers
This Skill automates the discovery of relevant arXiv papers for a specified domain and saves their metadata as JSON for easy review and cataloging.
Run the /search-papers machine_learning "attention mechanism" to fetch papers and populate workspace/papers.
High-intent search queries and answers about installing and using this skill.
To search arXiv papers and save metadata automatically, provide a domain and a quoted search query to fetch structured data including id, title, authors, abstract, and published date. The tool queries the arXiv API and saves per-paper JSON files within your workspace directory.
Yes, you can download arXiv PDFs along with structured metadata by including the optional --download flag in your query. This retrieves the paper information and fetches the full PDF documents directly into your specified workspace storage.
The best way to organize arXiv paper metadata for a specific research domain is using domain-based exploration. The tool automatically stores per-paper JSON files under a dedicated workspace directory and maintains a combined index for quick lookup and cataloging.
You can limit the number of arXiv papers returned from a domain search query by applying the optional --max N flag. This constrains the API request to fetch only the specified number of top relevant papers matching your search terms.
No, this arXiv search tool does not require external API dependencies to function. It operates independently by directly querying the public arXiv API, parsing arguments, and managing structured JSON outputs within the local workspace environment.
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