paper-scout

Rank recent arXiv papers matching a user's research profile with metadata links.

130|1|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/AlphaLab-USTC/ResearchClaw --skill paper-scout-alphalab-ustc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-scout
Source: https://github.com/AlphaLab-USTC/ResearchClaw/tree/main/skills/paper-scout
Command: npx skills add https://github.com/AlphaLab-USTC/ResearchClaw --skill paper-scout-alphalab-ustc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users discover and prioritize the latest arXiv papers that match their research interests, saving time sifting through vast literature and keeping you up to date with relevant work.

Core Features & Use Cases

  • Build personalized search queries from the user's research profile and fetch matching arXiv results.
  • Filter recent publications (daily to last 3–7 days) and score/rank them by relevance to the profile.
  • Output a clear, ready-to-read list with links, author info, and categories; supports daily recommendations and reading-list integration.

Quick Start

Trigger the Paper Scout with a simple command like '推荐今日论文' to see today's personalized arXiv picks.

Frequently Asked Questions about paper-scout

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

FAQPage Schema
How do I get personalized arXiv paper recommendations for my research interests?

You can get personalized arXiv paper recommendations by providing your research profile or seed papers. The system builds keyword-based search queries, fetches matching arXiv results, and scores them by relevance to output a ranked list.

Can I filter arXiv papers to see only daily publications in specific categories?

Yes, you can filter arXiv papers to see daily publications. The system applies date filtering to fetch recent papers published within a daily to 7-day window, returning them with relevant metadata and category information.

How does the ranking mechanism work for recommended research papers?

The ranking mechanism for recommended research papers scores results using title and abstract matching, author matching, seed papers, and your stated preferences. This ensures the most relevant papers are prioritized in your output list.

What is the best way to discover recent arXiv publications across multiple research domains?

The best way to discover recent arXiv publications across multiple research domains is using an on-demand discovery system. It applies scoring rules to rank relevant papers published within a recent window, providing a formatted output with links.

Do I need to provide seed papers to find relevant arXiv literature?

You do not strictly need to provide seed papers, but supplying them improves the relevance of your arXiv literature search. The system uses seed papers alongside your profile keywords and preferences to calculate matching scores and rank papers.