Data Science & ML Claude 技能
发现data science & ml类别的 Claude 技能。浏览 53 个技能，找到适合您 AI 工作流程的完美功能。
Pymoo Optimization
Solves complex single and multi-objective optimization problems using evolutionary algorithms and Pareto front analysis.
Denario AI Scientist
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publishing LaTeX-formatted papers.
Medchem Scientific Discovery
Applies medicinal chemistry filters and drug-likeness rules to prioritize compound libraries for autonomous discovery.
Therapeutics Data Commons (PyTDC)
Provides AI-ready datasets and benchmarks for therapeutic machine learning and drug discovery tasks.
FDA Regulatory Data Analysis
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
PyOpenMS Mass Spectrometry Analysis
Processes and analyzes complex mass spectrometry data for proteomics and metabolomics workflows using the PyOpenMS library.
COBRApy Metabolic Modeling
Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering.
PyHealth
Builds and deploys specialized machine learning models for clinical healthcare data and electronic health records.
Hypogenic Scientific Hypothesis Engine
Automates scientific hypothesis generation and empirical testing by synthesizing observational data with research literature.
SHAP Model Explainability
Explains machine learning model predictions and feature importance using Shapley Additive exPlanations for transparent and interpretable AI.
NetworkX Analysis & Visualization
Analyzes and visualizes complex graph data structures using the comprehensive Python NetworkX library.
FlowIO Flow Cytometry Handler
Parses and manipulates Flow Cytometry Standard (FCS) files for scientific data preprocessing and analysis.
Pysam Genomic Toolkit
Manipulates genomic datasets by reading and writing SAM, BAM, CRAM, VCF, and FASTA files using a Pythonic interface.
Bioinformatics & Genomic Data Toolkit
Retrieves genomic, proteomic, and structural data from over 20 biological databases using a unified interface.
PyMC Bayesian Modeling
Builds and validates advanced Bayesian probabilistic models using PyMC 5.x for scientific discovery and statistical inference.
Gtars Genomic Analysis
Accelerates genomic interval analysis and machine learning preprocessing using a high-performance Rust toolkit with Python bindings.
scikit-bio Bioinformatics & Ecology
Performs comprehensive bioinformatics analysis including sequence manipulation, phylogenetics, and microbial ecology statistics within Python.
Aeon Time Series Analysis
Performs advanced time series machine learning tasks including classification, forecasting, and anomaly detection using scikit-learn compatible APIs.
scvi-tools Single-Cell Analysis
Analyzes single-cell omics data using deep generative models for batch correction, multi-omic integration, and probabilistic modeling.
PyDESeq2 Gene Expression Analysis
Performs automated differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.
DiffDock Molecular Docking
Predicts accurate 3D protein-ligand binding poses using diffusion-based deep learning for computational drug discovery.
RDKit Cheminformatics Toolkit
Provides comprehensive cheminformatics capabilities for molecular analysis, manipulation, and property calculation within Claude Code.
PathML Computational Pathology
Analyzes whole-slide images and multiparametric imaging data for advanced computational pathology and machine learning workflows.
Dask Parallel Computing
Scales Python data science workflows using parallel and distributed computing for larger-than-memory datasets.
Clinical Decision Support Writer
Generates professional, publication-ready clinical decision support documents and biomarker-stratified cohort analyses in LaTeX format.
LaminDB Biology Data Management
Manages biological datasets with automated lineage tracking, ontology-based curation, and FAIR-compliant data lakehouse capabilities.
Biomni Biomedical Research
Executes complex biomedical research tasks across genomics, drug discovery, and clinical analysis using autonomous AI reasoning.
Scientific Research Brainstorming
Facilitates creative scientific problem-solving by generating hypotheses and exploring interdisciplinary connections as a research ideation partner.
Scanpy Single-Cell Analysis
Performs comprehensive single-cell RNA-seq data analysis, including quality control, clustering, and visualization.
Protein Modeling & Design (ESM)
Empowers Claude to design, generate, and analyze protein sequences and structures using ESM3 and ESM C evolutionary scale models.
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