paper-feishu-digest

To monitor arXiv papers and send a digest to Feishu, you can configure this Skill with specific categories and keywords to track new submissions and automatically push a generated Chinese summary to a Feishu webhook. It uses Python libraries for web scraping and XML parsing to gather recent publications.

Generating a Chinese summary from arXiv feeds involves parsing XML data from specified arXiv categories and keywords, extracting relevant paper information, and translating that content into a digest format. This process relies on Python libraries like xml.etree.ElementTree to handle the feed data.

Yes, you can track specific arXiv categories and keywords for new submissions. The Skill allows you to specify these parameters during configuration to filter recent arXiv papers, ensuring the generated digest and Feishu notifications only include relevant research updates.

You only need a Feishu webhook if you want to receive automated arXiv paper notifications. While the Skill can generate a Chinese digest locally, configuring a Feishu webhook is required to enable the feature that sends these updates to a shared chat for team collaboration.

The best way to automate daily arXiv monitoring for a research group is to set up this Skill to track specified AI and machine learning categories, generate a summary of top papers, and send daily updates directly to a shared Feishu chat via webhook for collaborative review.