Data Science & ML Claudeスキル

Priority Queue Implementation Patterns

Implements high-performance priority queues for pathfinding, scheduling, and stream processing using efficient heap-based structures.

ML Model Deployment Helper

Automates the transition of trained machine learning models into production-ready API services and scalable cloud environments.

Scikit-Survival Analyst

Performs comprehensive survival analysis and time-to-event modeling using the scikit-survival library in Python.

Frontier-Based Graph Exploration

Implements flexible graph and tree traversal patterns with configurable DFS, BFS, and randomized exploration strategies.

Counter Frequency Patterns

Implements efficient counting and frequency analysis patterns using Python's collections.Counter for data processing and distribution analysis.

ZINC Database

Searches and retrieves information from the ZINC database of 230M+ purchasable compounds for drug discovery and virtual screening.

Genome Analyzer

Analyzes and processes genomic data sequences to extract biological insights and automate bio-informatics workflows.

Graceful Failure Coding Pattern

Implements the Norvig pattern of returning sentinel values instead of exceptions for natural algorithmic failures.

KEGG Database Analysis

Integrates KEGG REST API access into workflows for biological pathway analysis, gene mapping, and molecular interaction research.

Stable Matching & Gale-Shapley

Implements the Gale-Shapley algorithm to solve stable matching problems for two-sided markets like residency and admissions.

State-Driven Class Patterns

Encapsulates complex state management into robust class structures to handle transitions, backtracking, and algorithmic branching.

Python Data Grouping Patterns

Optimizes Python data structures using defaultdict for efficient grouping, adjacency lists, and nested dictionary management.

Norvig Sparse Set Pattern

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

ClinVar Database Integration

Queries NCBI ClinVar to retrieve and interpret clinical significance data for human genetic variants.

Local LLM Management

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

ClinPGx Pharmacogenomics Database

Accesses comprehensive pharmacogenomics data for precision medicine, genotype-guided dosing, and clinical decision support.

Python Comprehension Chain Patterns

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

Local Search Optimizer

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

ChEMBL Database Explorer

Accesses and queries the ChEMBL database for bioactive molecules, drug targets, and bioactivity data within medicinal chemistry workflows.

Propagate-Then-Search Logic Pattern

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

Constraint Satisfaction Solver

Solves complex logic puzzles and scheduling problems using Peter Norvig's propagate-then-search algorithmic pattern.

Cosmic Cancer Database Access

Access and query the COSMIC database for somatic mutations, cancer gene census, and mutational signatures to support precision oncology research.

PathML Computational Pathology

Analyzes whole-slide pathology images and multiparametric imaging data using advanced machine learning and spatial graph techniques.

Crypto Arbitrage Finder

Identifies and analyzes profitable cryptocurrency arbitrage opportunities across centralized and decentralized exchanges in real-time.

Python Operator Overloading DSL

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

Phylogenetic Tree Analysis (ETE)

Manipulates, analyzes, and visualizes phylogenetic and hierarchical tree structures with biological database integration.

Matplotlib Visualization

Generates high-quality static, animated, and interactive visualizations for data analysis and scientific publication.

Python Memoization Patterns

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

TorchDrug Science Toolkit

Provides an advanced machine learning framework for drug discovery, molecular property prediction, and protein modeling using PyTorch.

Neural Network Builder

Automates the design, configuration, and implementation of complex neural network architectures for various machine learning tasks.