Skill UI

Enables efficient querying of the bioRxiv preprint server with keywords, authors, dates, and categories, returning structured JSON metadata and optional PDF downloads for literature reviews or tracking research trends.

This skill searches for published academic papers from major venues like IEEE, ACM, and Springer via the Semantic Scholar API. It is ideal for finding peer-reviewed journal articles and conference proceedings, providing crucial metadata such as citation counts, venue details, and TLDR summaries. Use it when you need verified, published literature beyond raw arXiv preprints.

An all-in-one toolkit designed for comprehensive web-powered research. It supports advanced web searches, precise URL content extraction (including PDFs), bulk data enrichment for structured lists, and deep, multi-source academic reporting. It prioritizes peer-reviewed papers, preprints, and scholarly databases for reliable, authoritative insights across any field.

A comprehensive tool for searching academic literature using the OpenAlex API. Retrieve detailed metadata, including open citation graphs, author institutional affiliations, and funding sources. Ideal for deep, systematic academic research when basic preprint or citation data is insufficient.

A powerful tool for deterministic and reproducible retrieval of evidence from specialized academic and policy corpora. It supports searching arXiv (preprints), PubMed/PMC (biomedical literature), and US policy documents. Users can check corpus freshness, retrieve stable metadata, and fetch full-document Markdown for high-reliability research tasks.