Data Science & ML Claudeスキル

h5py Hierarchical Data Storage

Manages large-scale numerical datasets using the HDF5 binary format and NumPy-compatible interfaces for high-performance data science.

Scientific Video Processing (scikit-video)

Simplifies scientific video analysis by providing a NumPy-based interface for FFmpeg, motion estimation, and video quality metrics.

Professional Excel & Financial Modeling

Creates, edits, and analyzes professional spreadsheets with industry-standard formatting, dynamic formulas, and automated recalculation.

Scalable Parallel Computing with Dask

Scales Python's data science stack to multi-core systems and distributed clusters using lazy evaluation and task scheduling.

Astropy for Astronomy & Astrophysics

Simplifies astronomical data analysis and physical calculations using standardized units, coordinates, and cosmological models.

Qiskit Hardware & Pulse Control

Optimizes and executes quantum circuits on physical IBM Quantum hardware using advanced error mitigation and pulse-level control.

Polars High-Performance Data Processing

Accelerates data manipulation and analysis using the blazingly fast Polars DataFrame library for Python and Rust.

PyTorch Model Deployment & Optimization

Deploys and optimizes PyTorch models for production environments, edge devices, and high-performance C++ applications.

Matplotlib Data Visualization

Generates publication-quality 2D plots, scientific visualizations, and complex multi-panel figures using industry-standard Python patterns.

Qiskit Quantum Computing

Facilitates the design, simulation, and execution of quantum circuits and algorithms using IBM's Qiskit framework.

RDKit Cheminformatics & Drug Discovery

Provides specialized tools for molecular manipulation, chemical property calculation, and machine learning in drug discovery workflows.

Seaborn Statistical Visualization

Generates sophisticated, publication-quality statistical graphics and exploratory data visualizations using the Python Seaborn library.

Scikit-Learn Model Explainability

Provides specialized guidance and code patterns for interpreting machine learning models using scikit-learn, SHAP, and advanced diagnostic tools.

Lifelines Survival Analysis

Performs advanced survival analysis and time-to-event modeling using the lifelines library for medical, clinical, and epidemiological research.

JAX Differentiable Physics & PDEs

Provides specialized guidance for implementing differentiable physics simulations and solving partial differential equations using JAX.

Dagster Workspace Creator

Initializes and scaffolds organized multi-project environments for Dagster data orchestration using natural language.

Clinical Decision Support (CDS) Writer

Generates professional, publication-ready clinical decision support documents and biomarker-stratified cohort analyses for pharmaceutical and clinical research.

Atomic Simulation Environment (ASE)

Builds, manipulates, and analyzes atomistic simulations using a universal Python interface for molecular dynamics and quantum chemistry codes.

tqdm Progress Monitoring

Implements intelligent, low-overhead progress bars for Python loops, data processing, and machine learning workflows.

Dagster Development & Orchestration

Provides expert guidance and standardized patterns for building scalable data pipelines using the Dagster asset-based orchestration framework.

Scikit-Learn Machine Learning

Implements industry-standard machine learning workflows in Python for predictive data analysis including classification, regression, and clustering.

Molecular Dynamics Analysis (MDAnalysis)

Analyzes molecular dynamics trajectories and structural data using the MDAnalysis Python library for biophysical research.

Prompt Analyzer & Insights

Analyzes generated prompts to provide deep insights into element usage, quality comparisons, and style-based recommendations.

Text Data Extraction Patterns

Extracts structured data, numbers, and identifiers from unstructured text using optimized regex patterns and Norvig-inspired utilities.

SunPy Solar Physics Analysis

Enables advanced solar data processing, coordinate transformations, and multi-instrument analysis using the SunPy ecosystem.

Sentiment Analysis Adapter

Analyzes the emotional tone of text data to classify sentiment as positive, negative, or neutral for customer feedback and social media monitoring.

Scikit-bio Bioinformatics & Ecology

Provides specialized data structures and statistical methods for rigorous bioinformatics, microbiome research, and community ecology analysis.

Excel Analysis

Analyzes Excel spreadsheets, generates pivot tables, and automates complex data visualization workflows.

NumPy Low-Level Optimization

Optimizes NumPy performance through advanced memory management, stride manipulation, and zero-copy operations.

AI Model Versioning Tracker

Manages and tracks AI/ML model versions, performance metrics, and lineage directly within the Claude Code environment.