scholar-research-assistant

Automate scholarly literature search by running multi-dimensional queries filtered by keywords, authors, journals, and time periods. The skill retrieves academic papers and generates automated literature reports with quality scoring based on citation count and journal ranking.

Yes, you can filter academic research papers by author, journal, keywords, and time simultaneously. The skill constructs keyword matrices and applies automated quality scoring using citation counts and journal ranking to evaluate the retrieved papers.

Generate a domain research survey by executing multi-dimensional searches across scholarly databases. The skill automatically constructs keyword matrices, retrieves relevant literature, and scores paper quality to streamline domain research surveys and track authors' research trajectories.

Automated quality scoring evaluates academic literature by analyzing citation count and journal ranking. The skill builds keyword matrices and applies these metrics to filter search results, ensuring high-quality papers are prioritized for literature reviews and domain research.

Yes, the academic research assistant requires the Python packages requests, yaml, and json to function. These dependencies handle data retrieval and configuration processing for executing multi-dimensional scholarly literature searches and generating automated reports.

Yes, track an author's research trajectory by filtering multi-dimensional searches by author name and time period. The skill retrieves their published academic papers, applies quality scoring, and compiles the results to map their research evolution over time.