daily-paper-generator

To automate arXiv paper search and bilingual summarization for EEG research, this skill uses a Chrome-based browser workflow to discover recent papers, evaluate them against a structured rubric, and output Chinese and English Markdown summaries.

Automated literature synthesis evaluates brain-computer interface papers by extracting arXiv metadata including title, authors, date, and categories, then applying a structured assessment rubric to rank and select the top 3 papers for review.

Yes, you can generate daily paper briefs for neural foundation model research by requesting the skill to search arXiv for EEG decoding and BCI papers from the last 3 months and produce daily Markdown summaries.

The best way to find recent EEG decoding papers on arXiv without manual searching is to automate discovery and metadata extraction, retrieving recent publications within the last 3 months and ranking the top 3 based on quality criteria.

Yes, feedparser is a required dependency for the daily paper generator to parse arXiv RSS feeds, extract metadata, and support the automated evaluation of recent EEG-related publications.

Bilingual paper reviews are saved as Markdown files in a daily paper directory after the arXiv search, metadata extraction, and quality assessment process is completed.