🎯Skills19
Retrieves protein structure data from various databases and provides detailed structural information for scientific research and analysis.
Retrieves comprehensive chemical compound data from PubChem and ChEMBL, providing detailed profiles with identifiers, properties, and bioactivity information.
Retrieves biological sequences from NCBI and ENA with precise gene disambiguation, accession handling, and comprehensive sequence metadata.
Enables programmatic access to 1000+ scientific tools for building AI-powered research workflows, data analysis, and computational biology tasks.
Researches and provides comprehensive insights into diseases, symptoms, treatments, and medical research using advanced AI analysis.
Retrieves comprehensive gene expression and multi-omics datasets from ArrayExpress and BioStudies with intelligent gene disambiguation and quality assessment.
Performs targeted research by systematically exploring and analyzing information sources to gather comprehensive insights on a specific topic or research question.
Performs comprehensive literature research with target disambiguation, evidence grading, and structured theme extraction for thorough scientific investigations.
Streamlines developer tool skill optimization by analyzing performance, identifying bottlenecks, and recommending targeted improvements for code efficiency.
Optimizes tool descriptions in ToolUniverse JSON configs by reviewing and enhancing clarity, prerequisites, parameter guidance, and usage examples.
Generates scientific tool classes and configurations for ToolUniverse framework, ensuring proper structure, validation, and automated wrapper creation.
Generates and evaluates tool combinations for complex tasks using large language models and systematic exploration strategies.
Retrieves and analyzes drug research data, providing comprehensive insights into pharmaceutical compounds and their scientific literature.
Generates personalized cancer treatment recommendations by analyzing genomic data, patient history, and clinical trial insights using advanced machine learning models.
Discovers and maps computational tool dependencies across research environments, enabling seamless integration and reproducibility of scientific workflows.
Designs and optimizes protein therapeutics by predicting structure, stability, binding affinity, and potential drug candidates using advanced computational methods.
Assists medical professionals in diagnosing rare genetic disorders by analyzing patient symptoms, genetic data, and clinical literature with advanced AI matching techniques.
Automates adverse drug event detection, reporting, and risk assessment by analyzing medical literature, clinical records, and regulatory databases.
Analyzes epidemiological data, predicts disease spread, and provides insights for public health intervention strategies using advanced modeling techniques.