What problem does it solve?
This Skill reduces the manual effort of discovering, evaluating, and writing bilingual (Chinese and English) summaries for recent arXiv papers about EEG decoding, EEG speech decoding, and EEG foundation models by automating search, metadata extraction, quality scoring, and templated summary generation.
Core Features & Use Cases
- Automated arXiv search focused on recent submissions (configurable time window and keyword sets).
- Metadata extraction from arXiv abstract pages (title, authors, date, categories, PDF link).
- Structured quality evaluation using a five-dimension rubric (innovation, method completeness, experiments, writing, relevance) and ranking.
- Generation of bilingual Markdown summaries following a strict template (header, Chinese review ~300 words, English review, main figure placeholder, metadata table, integrated format, appendix).
- Use cases: daily research digests for EEG/BCI labs, literature monitoring for speech-from-EEG projects, and preparing publishable summary posts.
Quick Start
Generate a daily digest of the top 3 recent EEG decoding papers from arXiv and produce Chinese and English Markdown summaries saved to the daily paper/ directory.
