Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Generates professional, publication-quality academic research posters using industry-standard LaTeX packages and automated scientific schematics.
Manages large-scale N-dimensional arrays with chunking, compression, and cloud-native storage integration.
Facilitates advanced biomedical literature research and programmatic access to the PubMed database using E-utilities and complex query syntax.
Generates regulatory-compliant clinical reports, case studies, and medical documentation with integrated scientific visualizations.
Access and analyze genomic variant clinical significance data from NCBI's ClinVar archive.
Provides direct REST API access to UniProt for protein sequence retrieval, identifier mapping, and comprehensive functional annotation searches.
Accelerates drug discovery and molecular science workflows using graph neural networks and PyTorch-based modeling.
Simulates and analyzes closed and open quantum systems using the Quantum Toolbox in Python (QuTiP).
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
Accesses and analyzes RCSB Protein Data Bank (PDB) structures, metadata, and 3D coordinates for structural biology and drug discovery research.
Generates professional, publication-quality scientific research posters using LaTeX frameworks like beamerposter and tikzposter.
Conducts systematic, high-rigor peer reviews of scientific manuscripts and grant proposals across all major research disciplines.
Implements professional machine learning workflows in Python including classification, regression, clustering, and data preprocessing.
Evaluates research papers and scholarly work using the ScholarEval framework to provide structured quality assessments and actionable feedback.
Generates visually engaging, research-backed slide decks and presentations for academic conferences, seminars, and thesis defenses.
Accesses and analyzes protein-protein interaction networks and functional enrichment data using the STRING API.
Accesses the Human Metabolome Database to retrieve chemical, clinical, and spectroscopic data for over 220,000 metabolites.
Facilitates automated queries to the Ensembl REST API for gene annotation, sequence retrieval, and comparative genomic analysis across 250+ species.
Accesses the ZINC database of 230M+ purchasable compounds for virtual screening, drug discovery, and molecular docking studies.
Develop and train Graph Neural Networks using PyTorch Geometric for node classification, link prediction, and molecular modeling.
Queries and retrieves comprehensive genomic data from NCBI Gene using E-utilities and Datasets APIs for scientific analysis.
Queries the Open Targets Platform to identify therapeutic drug targets and analyze disease-target associations using human genetics and omics data.
Accesses and processes NCBI Gene Expression Omnibus (GEO) data for transcriptomics and functional genomics research.
Facilitates direct REST API access to the Kyoto Encyclopedia of Genes and Genomes for biological pathway analysis and molecular mapping.
Generates publication-quality scientific diagrams and architectural schematics using AI-driven iterative refinement and quality auditing.
Generates publication-quality scientific figures and multi-panel layouts using Python libraries while adhering to journal-specific standards.
Analyzes mass spectrometry data using Python bindings for OpenMS to process complex proteomics and metabolomics workflows.
Accesses and queries the Catalogue of Somatic Mutations in Cancer (COSMIC) to retrieve high-quality genomic data for precision oncology and cancer research.
Performs rigorous statistical modeling, econometric analysis, and time series forecasting using the Statsmodels library.
Accesses and analyzes over 200 million AI-predicted protein structures for bioinformatics and structural biology research.
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