What problem does it solve? Finding scholarly literature requires querying many separate databases with different APIs, identifier formats, and rate limits, and judging whether a research idea is novel demands careful cross-database searching that naive queries get wrong. ## Core Features & Use Cases - Multi-database search: Query PubMed, PMC, bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, and Unpaywall through their REST APIs, with per-database endpoint, filter, and rate-limit references. - Identifier translation: Look up papers by DOI, PMID, PMCID, arXiv ID, or OpenAlex ID and convert between them using the PMC ID Converter. - Research idea assessment: Run a duplication test (has this been done?) or gap saturation analysis (is the gap still open?) with normalized OpenAlex publication-share trends and explicit reporting of queries run. - Source quality ranking: Order results by local bibliography, Zotero library, CWTS-core journals, and top-institution preprints, with MDPI demoted but never removed. - Use Case: Before committing to a research proposal, ask whether the idea has already been done; the skill searches OpenAlex, arXiv, and Semantic Scholar in parallel, ranks the closest prior work by relationship, and reports exactly which queries returned nothing. ## Quick Start Ask the assistant to find recent papers on a topic, look up a specific DOI, or check whether your research idea has already been published.
