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.