aminer-daily-paper

To get personalized academic paper recommendations, you query the AMiner database with specific research topics and author profiles. The skill fetches relevant literature and outputs a structured Markdown list of recent papers matching your defined interests.

Yes, you can filter academic literature recommendations by specific publication year ranges and apply language sorting. This flexible filtering narrows down the fetched AMiner results to match your specific research scope.

Fetching research papers from the AMiner database requires valid API credentials configured via a .z-ai-config file. This setup authenticates your requests to the AMiner API to retrieve relevant literature.

Personalized paper discovery works by querying the AMiner API using your defined topics, authors, or institutions. It retrieves relevant recent literature and renders the output as a structured Markdown list to help you track breakthroughs.

The best way to stay updated on new academic research is using personalized recommendation tools that query databases like AMiner. They fetch curated literature lists based on your specific topics, overcoming the volume of new publications.

Limitations include requiring valid API credentials in a .z-ai-config file for authentication. Additionally, the quality of literature recommendations depends on the specificity of the user-defined research topics and author profiles provided.