Daily Paper Generator

Overview

Automate the workflow of discovering, reviewing, and summarizing recent research papers on arXiv related to EEG decoding, brain-computer interfaces, and neural foundation models.

Core workflow:

1. Search arXiv for recent papers (within 3 months) using Chrome browser
2. Retrieve paper metadata from arXiv pages
3. Evaluate paper quality using structured criteria
4. Select top 3 papers
5. Generate structured summaries with Chinese and English reviews
6. Save results as Markdown files in daily paper/ directory

When to Use

Use this skill when:

• User asks to "generate daily paper" or "find recent EEG papers"
• User wants to discover research on EEG decoding, speech decoding from EEG, or brain foundation models
• User needs paper reviews with both Chinese and English summaries
• User wants to track recent arXiv publications in neuro/AI intersection

Output Format

Each paper summary follows this structure (see example/daily paper example.md for complete example):

1. Header Section

# Paper Title

## 作者及单位
Author list
Institution

## arXiv 链接
https://arxiv.org/abs/ARXIV_ID

**发表日期**: YYYY-MM-DD
**arXiv ID**: XXXX.XXXXX
**分类**: cs.LG, q-bio.NC, eess.SP

2. Review Sections

中文评语 (~300 words):

• Background (1-2 sentences): Research context and importance
• Challenges (2-3 sentences): Problems with existing methods
• Contribution (1-2 sentences): Core contribution of this work
• Method (2-3 sentences): Key technical details
• Results (2-3 sentences): Main findings and metrics
• Analysis & Limitations (1-2 sentences): Significance and limitations

English Review (fluent academic English):