paper_watch

Fetch new arXiv papers by domain and generate a ranked JSON digest.

342|4|Updated Apr 18, 2026
One-click install
npx skills add https://github.com/Jennyee1/AcademicAgent --skill paper-watch
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper_watch
Source: https://github.com/Jennyee1/AcademicAgent/tree/main/skills/paper_watch
Command: npx skills add https://github.com/Jennyee1/AcademicAgent --skill paper-watch

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Keeps researchers up to date by automatically fetching the latest papers from arXiv in specified domains and presenting a concise digest with relevance-ranked recommendations.

Core Features & Use Cases

  • Automated weekly/daily tracking of new arXiv submissions based on user-defined topics (e.g., LLM, RAG, multi-agent systems) and memory-derived keywords.
  • Local digest generation and archival in data/paper_watch with easy access to titles, authors, dates, arXiv IDs, and links for quick review.
  • LLM-assisted filtering and ranking to surface the most relevant papers and generate short summaries for decision-making.
  • Use Case: A researcher monitors evolving topics and receives a prioritized list with quick-read summaries to plan follow-up reading or experiments.

Quick Start

Run the fetch_papers script to pull today’s arXiv papers and review the top recommendations.

Frequently Asked Questions about paper_watch

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track new arXiv papers for specific research topics like LLMs or RAG?

Fetch arXiv papers by running the fetch_papers script to pull today's submissions and review top recommendations. The automated tracking supports daily or weekly intervals based on user-defined topics and local keyword memory, outputting structured JSON digests with titles, authors, dates, and links.

What is included in the automated arXiv paper digest output?

You can define custom keywords for arXiv paper tracking by leveraging integration with local keyword memory. The skill utilizes memory-derived keywords alongside user-specified domains to filter recent submissions, ensuring the surfaced papers match your specific evolving research interests.

Does this arXiv paper tracker require manual filtering to find relevant papers?

Yes, this skill suits multi-agent systems research monitoring by automatically fetching newly surfaced arXiv papers in that domain. It generates prioritized digests with relevance-ranked recommendations, helping you track evolving topics and plan follow-up reading without manual searches.

Where are the fetched arXiv paper digests stored for later access?

The best way to surface relevant academic research papers is to use automated fetching combined with LLM-assisted ranking. This approach pulls new arXiv submissions in your specified domains and generates concise digests with short summaries, reducing the manual effort of browsing daily submissions.