Explorar Todas las Habilidades de Claude

Transformers for Claude Code

Integrates Hugging Face Transformers to load, fine-tune, and run inference on thousands of pre-trained AI models across multiple modalities.

Scientific Critical Thinking

Evaluates research rigor, methodology, and statistical validity using standardized frameworks like GRADE and Cochrane ROB.

Data Commons Client

Accesses global statistical data from Data Commons for demographic, economic, and environmental analysis.

UMAP Dimensionality Reduction

Performs high-performance nonlinear dimensionality reduction for data visualization and clustering preprocessing using the UMAP algorithm.

PyTorch Geometric (PyG)

Develops and trains Graph Neural Networks (GNNs) for analyzing irregular data structures and relational datasets.

NCBI Gene Database Skill

Queries the NCBI Gene database to retrieve comprehensive genetic information, sequences, and functional annotations for biological research.

DeepChem Molecular ML & Drug Discovery

Facilitates molecular property prediction and drug discovery through specialized machine learning models and chemical data featurization.

PyDESeq2 Gene Expression Analysis

Performs automated differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.

Scikit-learn Machine Learning

Implements comprehensive machine learning workflows using scikit-learn, covering data preprocessing, model training, evaluation, and pipeline deployment.

DiffDock Molecular Docking

Predicts accurate 3D protein-ligand binding poses using diffusion-based deep learning for computational drug discovery.

Protein Modeling & Design (ESM)

Empowers Claude to design, generate, and analyze protein sequences and structures using ESM3 and ESM C evolutionary scale models.

Aeon Time Series Analysis

Performs advanced time series machine learning tasks including classification, forecasting, and anomaly detection using scikit-learn compatible APIs.

Scientific Critical Thinking

Evaluates scientific research rigor, methodology, and statistical validity using evidence-based frameworks like GRADE and Cochrane.

PyTorch Lightning Scientist

Streamlines deep learning development by organizing PyTorch code into scalable, high-performance Lightning modules and data pipelines.

PathML Computational Pathology

Analyzes whole-slide images and multiparametric imaging data for advanced computational pathology and machine learning workflows.

Clinical Report Writing

Generates comprehensive, compliant clinical documentation including case reports, diagnostic findings, and regulatory trial summaries.

PDB Database Explorer

Accesses and analyzes 3D protein and nucleic acid structures from the RCSB Protein Data Bank for structural biology and drug discovery.

Open Targets Database

Queries the Open Targets Platform to identify and prioritize therapeutic drug targets using genetic, omic, and clinical evidence.

Dask Parallel Computing

Scales Python data science workflows using parallel and distributed computing for larger-than-memory datasets.

Scientific Statistical Analysis

Performs advanced statistical hypothesis testing, regression analysis, and Bayesian modeling with automated assumption checking and APA-style reporting.

scvi-tools Single-Cell Analysis

Analyzes single-cell omics data using deep generative models for batch correction, multi-omic integration, and probabilistic modeling.

Scientific Exploratory Data Analysis

Performs comprehensive exploratory data analysis and generates detailed reports for over 200 scientific file formats.

Scientific Peer Reviewer

Evaluates scientific manuscripts and grant proposals using a systematic toolkit for methodology, statistics, and reporting standards.

Zarr Python Scientific Data

Manages large-scale N-dimensional arrays with chunking, compression, and cloud-native storage for scientific computing.

GWAS Database (NHGRI-EBI)

Queries the NHGRI-EBI GWAS Catalog to retrieve genetic variant associations, study metadata, and polygenic risk score data.

Geniml: Genomic Machine Learning

Applies unsupervised machine learning models to genomic interval data for region embeddings, single-cell analysis, and similarity searches.

Scientific Hypothesis Generation

Generates testable scientific hypotheses and detailed experimental designs based on observations and literature evidence.

Survival Analysis & Time-to-Event Modeling

Performs comprehensive survival analysis and time-to-event modeling using the scikit-survival library in Python.

Scientific Manuscript Writing

Drafts, structures, and refines professional scientific manuscripts using standardized research formats and reporting guidelines.

UniProt Protein Database

Accesses the world's leading protein sequence and functional information resource via the UniProt REST API.