Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Converts chemical structures into high-dimensional numerical representations for molecular machine learning and QSAR modeling.
Accesses the Human Metabolome Database (HMDB) to retrieve comprehensive data on small molecule metabolites, clinical biomarkers, and biochemical pathways.
Accesses and analyzes the Ensembl REST API for gene lookups, sequence retrieval, and advanced variant effect predictions in genomic research.
Parses and manipulates Flow Cytometry Standard (FCS) files, converting biological data into NumPy arrays and CSV formats for scientific analysis.
Performs comprehensive single-cell RNA-seq analysis workflows including quality control, normalization, clustering, and cell-type annotation.
Access and retrieve comprehensive nucleotide sequence data and metadata from the European Nucleotide Archive (ENA) for bioinformatics pipelines.
Manipulates PDF documents by extracting text and tables, merging or splitting files, and generating new documents programmatically.
Enables advanced materials science research through crystal structure manipulation, thermodynamic analysis, and Materials Project database integration.
Streamlines high-density neural recording analysis, spike sorting, and quality metric computation for Neuropixels electrophysiology data.
Accesses the NIH Metabolomics Workbench to query over 4,200 studies, standardize metabolite nomenclature, and perform mass spectrometry searches.
Designs, simulates, and executes quantum circuits across diverse hardware backends and simulators using Google's open-source framework.
Processes and analyzes physiological signals like ECG, EEG, and EDA to extract research-grade biometrics and psychophysiological insights.
Queries and analyzes millions of scholarly works, authors, and institutions using the OpenAlex API to facilitate comprehensive bibliometric research.
Conducts systematic, comprehensive literature reviews across multiple academic databases with verified citations and publication-quality visual schematics.
Generates and edits high-quality photorealistic images, artistic illustrations, and visual concept art using advanced AI models like FLUX and Gemini.
Automates the end-to-end scientific research lifecycle from data-driven hypothesis generation to the production of publication-ready LaTeX manuscripts.
Processes digital pathology whole slide images (WSI) through automated tissue detection, tile extraction, and specialized image preprocessing.
Implements reinforcement learning workflows including agent training, custom environment design, and parallelized experimentation using the Stable Baselines3 library.
Performs AI-powered web searches with real-time information and source citations to access data beyond the model's knowledge cutoff.
Models complex discrete-event systems where entities interact with shared resources over time using process-based Python simulations.
Analyzes whole-slide pathology images and multiparametric imaging data using advanced machine learning, spatial graph construction, and automated preprocessing pipelines.
Develops, tests, and deploys healthcare-specific machine learning models using clinical data, medical coding systems, and physiological signals.
Accelerates reinforcement learning workflows through high-performance training, optimized environment vectorization, and seamless multi-agent integration.
Manages scientific protocols and lab workflows through direct integration with the protocols.io API.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank including molecular structures, drug interactions, targets, and pharmacological properties.
Transforms academic papers from LaTeX or PDF sources into interactive websites, presentation videos, and professional conference posters.
Performs advanced survival analysis and time-to-event modeling in Python using specialized machine learning techniques for censored data.
Explains machine learning model predictions and feature importance using Shapley values for improved transparency and debugging.
Implements, fine-tunes, and deploys pre-trained transformer models for natural language processing, computer vision, and audio tasks.
Conducts automated exploratory data analysis on over 200 scientific file formats to extract metadata, assess quality, and generate comprehensive documentation reports.
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