Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Integrates OMERO microscopy data management with Python for advanced image analysis, metadata handling, and automated screening workflows.
Generates regulatory-compliant clinical reports, case studies, and medical documentation with integrated scientific visualizations.
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
Facilitates advanced biomedical literature research and programmatic access to the PubMed database using E-utilities and complex query syntax.
Reads, manipulates, and writes genomic datasets including BAM, VCF, and FASTA files using a Pythonic interface to htslib.
Generates professional, publication-quality academic research posters using industry-standard LaTeX packages and automated scientific schematics.
Accesses the Human Metabolome Database to retrieve chemical, clinical, and spectroscopic data for over 220,000 metabolites.
Queries and retrieves comprehensive genomic data from NCBI Gene using E-utilities and Datasets APIs for scientific analysis.
Generates competitive research proposals for federal agencies including NSF, NIH, DOE, and DARPA with agency-specific formatting and narratives.
Queries the Open Targets Platform to identify therapeutic drug targets and analyze disease-target associations using human genetics and omics data.
Formulates testable, evidence-based scientific hypotheses and experimental designs from observations and literature.
Facilitates direct REST API access to the Kyoto Encyclopedia of Genes and Genomes for biological pathway analysis and molecular mapping.
Accelerates drug discovery and molecular science workflows using graph neural networks and PyTorch-based modeling.
Generates publication-quality scientific diagrams and architectural schematics using AI-driven iterative refinement and quality auditing.
Performs comprehensive single-cell RNA-seq analysis including quality control, clustering, and trajectory inference using the Scanpy framework.
Simulates and analyzes closed and open quantum systems using the Quantum Toolbox in Python (QuTiP).
Creates, edits, and analyzes Excel spreadsheets with production-grade formulas, formatting, and scientific visualizations.
Accesses and processes NCBI Gene Expression Omnibus (GEO) data for transcriptomics and functional genomics research.
Facilitates automated queries to the Ensembl REST API for gene annotation, sequence retrieval, and comparative genomic analysis across 250+ species.
Builds and deploys serverless bioinformatics workflows using the Latch SDK and Registry.
Manipulates, extracts, and creates PDF documents programmatically using Python libraries and command-line tools.
Develops, optimizes, and executes quantum circuits and algorithms across various hardware backends using the Qiskit framework.
Streamlines deep learning development by organizing PyTorch code into scalable, modular structures for automated training and multi-GPU orchestration.
Automates electronic lab notebook management through the LabArchives REST API for research documentation, data backups, and tool integration.
Generates visually engaging, research-backed slide decks and presentations for academic conferences, seminars, and thesis defenses.
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.
Generates professional, publication-quality scientific research posters using LaTeX frameworks like beamerposter and tikzposter.
Programmatically creates, edits, and analyzes PowerPoint presentations with advanced XML manipulation and scientific visualization.
Conducts systematic, high-rigor peer reviews of scientific manuscripts and grant proposals across all major research disciplines.
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