Data Science & ML Claude 스킬

Iterate with Itertools

Implements memory-efficient combinatorial iteration patterns in Python using the itertools library.

Python Comprehension Chain Patterns

Implements elegant, idiomatic data transformations using Pythonic list, dictionary, and set comprehensions inspired by Peter Norvig.

Norvig Sparse Set Pattern

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

Marimo Reactive Notebooks

Builds, debugs, and optimizes reactive Python notebooks and interactive data dashboards using the marimo framework.

Local LLM Management

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

Architecture Synthesis

Generates comprehensive reference architecture specifications and implementation roadmaps for custom AI agent frameworks.

Python NamedTuple Records

Implements immutable, memory-efficient data structures using Python's namedtuple for cleaner and more readable code.

Python Operator Overloading DSL

Enables the creation of expressive domain-specific languages in Python by overloading arithmetic and logical operators.

Symbolic Expression Tree Builder

Implements symbolic computation patterns and Abstract Syntax Trees for mathematical modeling and code transformation.

Scientific Visualization for Publication

Generates journal-ready, publication-grade figures and statistical visualizations using colorblind-safe palettes and professional layouts.

Python Lazy Generator Patterns

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

Statistical Data Reporting

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

Python Memoization Patterns

Optimizes Python functions by implementing memoization and dynamic programming patterns to eliminate redundant recursive computations.

Local Search Optimizer

Solves NP-hard optimization problems using greedy construction and iterative local improvement patterns.

Google ADK Python

Builds, evaluates, and deploys code-first AI agents and multi-agent systems using Google's Agent Development Kit.

Probability & Counting Patterns

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

Precompute Relationships Pattern

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

Excel & Spreadsheet Mastery

Automates professional-grade spreadsheet creation, financial modeling, and data analysis with formula preservation and validation.

Text Data Extraction Patterns

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

Professional Excel & Financial Modeling

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

AI Multimodal Processing

Integrates Google Gemini's multimodal capabilities to process audio, video, images, and documents directly within your development workflow.

Convex Hull & Geometric Patterns

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

Propagate-Then-Search Logic Pattern

Optimizes constraint satisfaction problem-solving by eliminating impossibilities through inference before initiating recursive search operations.

arXiv Terminal Manager

Manages and searches academic papers from arXiv directly through a local terminal-based database.

Airflow DAG Design Patterns

Builds production-grade Apache Airflow pipelines using industry-standard best practices for orchestration and reliability.

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.

QuTiP Quantum Dynamics

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

SimPy Simulation Engine

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

ProDy Protein Dynamics Analysis

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