Discover and rank research papers from arXiv and Semantic Scholar.
npx skills add https://github.com/OpenLAIR/dr-claw --skill research-news
Please help me install this Agent Skill. Skill: research-news Source: https://github.com/OpenLAIR/dr-claw/tree/main/skills/research-news Command: npx skills add https://github.com/OpenLAIR/dr-claw --skill research-news
Automates the discovery and ranking of new research papers from arXiv and Semantic Scholar, helping researchers stay current with minimal manual effort.
Ask the assistant to fetch the latest papers and generate a ranked recommendations list.
High-intent search queries and answers about installing and using this skill.
To get daily arXiv paper recommendations, this Skill automates search across arXiv and Semantic Scholar, scoring papers by relevance, recency, and quality to deliver a prioritized list with titles, authors, and links.
The best way to rank new research papers is using a score-based system that evaluates relevance, recency, popularity, and quality from arXiv and Semantic Scholar data, generating a structured list of top papers.
Yes, you can automate a research briefing by using Python scripts to access the arXiv and Semantic Scholar APIs, collecting and scoring topically relevant papers across multiple domains.
You can filter arXiv papers by recency and quality by applying automated scoring scripts that screen and prioritize newly published research across multiple domains based on your specified criteria.
Yes, you need Python to run the scripts that collect, score, and generate a prioritized list of research papers from the arXiv and Semantic Scholar APIs for your daily briefing workflow.
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