academic-paper-agent

To find scholarly articles for a literature review, this Skill searches the arXiv database using targeted keywords. It retrieves up to 3 sets of relevant academic papers and extracts structured metadata including titles, authors, dates, abstract summaries, and direct arXiv URLs.

When searching for academic papers, the extracted metadata includes the paper's title, authors, publication date, abstract summary, and direct arXiv URL. This structured information provides the necessary scholarly evidence and citations for academic research.

You can retrieve peer-reviewed papers by providing specific research keywords related to your topic. The tool performs rate-limited arXiv searches to identify the most relevant academic literature, adhering to a strict maximum of 3 searches per task to find recent scholarly articles.

The best way to search arXiv for multi-agent LLM systems research is to input targeted keywords like coordination mechanisms and evaluation benchmarks. The Skill fetches recent relevant scholarly articles and provides structured metadata to form the foundation of your research.

Yes, there is a strict limitation of a maximum of 3 arXiv searches per task. This rate-limited search constraint ensures controlled access to the arXiv database while retrieving structured metadata for relevant academic literature.