Data Science & ML Claude 스킬
data science & ml Claude 스킬을 발견하세요. 71개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Hypogenic Scientific Hypothesis Engine
Automates scientific hypothesis generation and empirical testing by synthesizing observational data with research literature.
PyMC Bayesian Modeling
Builds and validates advanced Bayesian probabilistic models using PyMC 5.x for scientific discovery and statistical inference.
SHAP Model Explainability
Explains machine learning model predictions and feature importance using Shapley Additive exPlanations for transparent and interpretable AI.
PyOpenMS Mass Spectrometry Analysis
Processes and analyzes complex mass spectrometry data for proteomics and metabolomics workflows using the PyOpenMS library.
NetworkX Analysis & Visualization
Analyzes and visualizes complex graph data structures using the comprehensive Python NetworkX library.
Vaex Big Data Analysis
Processes and analyzes massive tabular datasets exceeding available RAM using lazy, out-of-core DataFrame operations.
Pydicom Medical Imaging
Manipulates and processes DICOM medical imaging data for healthcare applications and scientific research.
RDKit Cheminformatics Toolkit
Provides comprehensive cheminformatics capabilities for molecular analysis, manipulation, and property calculation within Claude Code.
Bioinformatics & Genomic Data Toolkit
Retrieves genomic, proteomic, and structural data from over 20 biological databases using a unified interface.
Denario AI Scientist
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publishing LaTeX-formatted papers.
Clinical Decision Support Writer
Generates professional, publication-ready clinical decision support documents and biomarker-stratified cohort analyses in LaTeX format.
Pysam Genomic Toolkit
Manipulates genomic datasets by reading and writing SAM, BAM, CRAM, VCF, and FASTA files using a Pythonic interface.
Pymoo Optimization
Solves complex single and multi-objective optimization problems using evolutionary algorithms and Pareto front analysis.
Medchem Scientific Discovery
Applies medicinal chemistry filters and drug-likeness rules to prioritize compound libraries for autonomous discovery.
Protein Modeling & Design (ESM)
Empowers Claude to design, generate, and analyze protein sequences and structures using ESM3 and ESM C evolutionary scale models.
Biomni Biomedical Research
Executes complex biomedical research tasks across genomics, drug discovery, and clinical analysis using autonomous AI reasoning.
MarkItDown Document Converter
Converts diverse file formats including PDFs, Office documents, and media into LLM-optimized Markdown for seamless data ingestion.
DiffDock Molecular Docking
Predicts accurate 3D protein-ligand binding poses using diffusion-based deep learning for computational drug discovery.
PyDESeq2 Gene Expression Analysis
Performs automated differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.
BioServices Bioinformatics Tool
Provides programmatic access to over 40 bioinformatics web services for automated biological data retrieval and pathway analysis.
FDA Regulatory Data Analysis
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
PyHealth
Builds and deploys specialized machine learning models for clinical healthcare data and electronic health records.
FlowIO Flow Cytometry Handler
Parses and manipulates Flow Cytometry Standard (FCS) files for scientific data preprocessing and analysis.
Scanpy Single-Cell Analysis
Performs comprehensive single-cell RNA-seq data analysis, including quality control, clustering, and visualization.
Therapeutics Data Commons (PyTDC)
Provides AI-ready datasets and benchmarks for therapeutic machine learning and drug discovery tasks.
scvi-tools Single-Cell Analysis
Analyzes single-cell omics data using deep generative models for batch correction, multi-omic integration, and probabilistic modeling.
PathML Computational Pathology
Analyzes whole-slide images and multiparametric imaging data for advanced computational pathology and machine learning workflows.
ChEMBL Drug Discovery
Queries the ChEMBL database for bioactive molecules, drug targets, and medicinal chemistry bioactivity data.
COBRApy Metabolic Modeling
Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering.
Aeon Time Series Analysis
Performs advanced time series machine learning tasks including classification, forecasting, and anomaly detection using scikit-learn compatible APIs.
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