daily-paper-generator

Automating daily arXiv paper discovery for EEG and BCI research involves using a Chrome MCP workflow to search arXiv, evaluate paper quality against a structured rubric, and generate bilingual summaries. The Skill retrieves metadata and selects the top 3 recent papers automatically.

The process for generating bilingual literature reviews of neural foundation models involves evaluating retrieved arXiv papers using a predefined rubric in references/quality-criteria.md. It outputs structured Chinese and English summaries, saving them as Markdown files under a daily paper/ directory.

Yes, a Chrome MCP-enabled workflow is required to track arXiv brain-computer interface papers using this Skill. The workflow facilitates searching arXiv pages, retrieving metadata, and evaluating the papers before generating the final bilingual summaries.

It evaluates the quality of recent EEG decoding papers by applying a predefined evaluation rubric located in references/quality-criteria.md. The Skill assesses retrieved arXiv metadata to select the top 3 papers for bilingual summarization.

A key limitation is that this Skill requires a Chrome MCP-enabled workflow and direct arXiv page interaction rather than relying solely on feedparser. It also strictly targets EEG decoding, brain-computer interfaces, and neural foundation models.