Data Science & ML Agent Skills

Python Lazy Generator Patterns

Implements memory-efficient data processing using Python generators and lazy evaluation patterns.

Text Data Extraction Patterns

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

Convex Hull & Geometric Patterns

Implements efficient computational geometry algorithms for calculating convex hulls, point enclosures, and polygon operations.

Statistical Data Reporting

Generates human-readable, aligned tables and statistical summaries for reporting results and data comparisons.

Norvig Sparse Set Pattern

Implements memory-efficient sparse data structures using Python sets for infinite grids and large coordinate spaces.

RAG Implementation & LLM Knowledge Integration

Builds sophisticated Retrieval-Augmented Generation (RAG) systems to ground AI responses in external knowledge bases and private documentation.

Probability & Counting Patterns

Implements exact probability calculations and combinatorial counting patterns using a functional, Norvig-inspired approach.

Professional Excel & Financial Modeling

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

Data Visualization Expert

Transforms complex datasets into clear, actionable visual insights and professional dashboard designs.

Precompute Relationships Pattern

Optimizes algorithmic performance by calculating static graph, grid, and constraint relationships during module load for constant-time lookups.

Local LLM Management

Manages local Ollama LLM models for development, testing, and VRAM optimization within Claude Code workflows.

QuTiP Quantum Dynamics

Simulates open and closed quantum system dynamics using the Quantum Toolbox in Python framework.

Scanpy Single-Cell Analysis

Analyzes high-dimensional single-cell gene expression data to identify cell types, states, and developmental trajectories.

Shapely Geometry Operations

Performs advanced manipulation and analysis of 2D planar geometric objects using standardized algorithms.

ChemPy Chemistry Simulation

Simplifies physical and analytical chemistry tasks by automating chemical equation balancing, kinetic modeling, and equilibrium calculations.

SimPy Simulation Engine

Models complex real-world systems using process-based discrete-event simulation in Python.

COBRApy Metabolic Modeling

Models and analyzes large-scale metabolic networks in microorganisms using constraints-based reconstruction and flux balance analysis.

NetworkX Graph Analysis

Analyzes and manipulates complex network structures and graph algorithms using Python's leading network science library.

ProDy Protein Dynamics Analysis

Analyzes protein dynamics, evolution, and structural flexibility using Elastic Network Models and structural ensemble analysis.

Scientific Agent Skill Template

Provides a standardized framework for developing specialized scientific research and data analysis capabilities within Claude Code.

Xarray Scientific Data Analysis

Manages and analyzes multi-dimensional labeled arrays and datasets for scientific computing and physical sciences.

Hugging Face Transformers Integration

Integrates state-of-the-art machine learning models for natural language processing, computer vision, and scientific data analysis using the Hugging Face ecosystem.

Pyomo Mathematical Optimization

Formulates and solves complex mathematical optimization problems using a natural Pythonic syntax for linear, integer, and non-linear models.

Pysam Genomic Data Analysis

Manipulates and analyzes genomic alignment and variant files using the pysam library for high-throughput sequencing pipelines.

Numba JIT Performance

Accelerates Python and NumPy code using Just-In-Time (JIT) compilation for machine-speed execution.

Scientific Video Processing (scikit-video)

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

PyTorch Deep Learning

Builds, trains, and optimizes high-performance neural networks and scientific computing models using the PyTorch framework.

MNE Neurophysiology Analysis

Analyzes and visualizes human neurophysiological data including EEG, MEG, and intracranial recordings using Python-based best practices.

FastAPI & Streamlit Deployment

Deploys scientific models and data applications using high-performance FastAPI backends and interactive Streamlit frontends.

JAX Scientific Computing

Accelerates Python and NumPy programs using composable transformations for high-performance machine learning and scientific simulations.