yorkeccak-scientific-skills
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|A collection of natural language scientific literature search skills with semantic search across PubMed, arXiv, ChEMBL, DrugBank, bioRxiv, medRxiv, clinical trials, and patent databases. Returns full-text content with figures, requiring no complex API syntax.
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Searches arXiv preprints across physics, math, and computer science using natural language queries with semantic search.
Searches PubMed's biomedical literature using natural language queries with semantic search, returning full-text articles and research insights.
Performs comprehensive biomedical searches across PubMed, preprints, clinical trials, and FDA drug labels using semantic natural language queries.
Searches scientific literature across PubMed, arXiv, bioRxiv, and medRxiv using natural language queries with semantic search capabilities.
Searches global patent databases using natural language queries, providing semantic search results with full patent details and insights.
Searches medRxiv medical preprints using natural language queries, delivering full-text research with semantic understanding and comprehensive results.
Clinical trials search skill for querying ClinicalTrials.gov with natural language using Valyu semantic search API, providing full-text trial information without complex parameter construction
Drug discovery search skill for querying ChEMBL, DrugBank, Open Targets, and FDA drug labels simultaneously with natural language using Valyu semantic search API
Searches bioRxiv biology preprints using natural language queries with semantic search powered by Valyu.
Searches FDA drug labels using natural language queries, providing comprehensive drug information, warnings, and safety data via semantic search.