Data Science & ML Claude 스킬

Urban Planner Analyst

Analyzes urban development projects and spatial organization using professional planning frameworks like zoning, land use, and transit-oriented development.

LangChain Architecture

Architects sophisticated LLM applications using the LangChain framework with support for autonomous agents, memory management, and RAG patterns.

SHAP Model Interpretability

Explains machine learning model predictions and feature importance using Shapley values to provide transparent and actionable AI insights.

Portfolio Optimization with C Extensions

Accelerates Python numerical computations by implementing performance-critical mathematical algorithms as high-speed C extensions.

LLM Prompt Engineering & Writing

Optimizes the creation of prompts and agent instructions by applying advanced prompt engineering standards and structural patterns.

MTEB Leaderboard Navigator

Retrieves and verifies temporally-accurate data from dynamic machine learning leaderboards to ensure model rankings and benchmark results are current and valid.

Epidemiologist Analyst

Analyzes disease patterns and public health events using surveillance systems, outbreak investigation methods, and mathematical modeling frameworks.

Build Cython Extensions

Provides comprehensive guidance for compiling Cython extensions and resolving version-specific NumPy compatibility issues.

RAG Implementation Toolkit

Builds robust Retrieval-Augmented Generation systems using vector databases, semantic search, and optimized retrieval pipelines.

Astropy Scientific Computing

Performs advanced astronomical data analysis, coordinate transformations, and cosmological calculations using the industry-standard Astropy library.

Zarr Python

Manages large-scale N-dimensional arrays with chunking and compression for high-performance scientific computing and cloud storage.

Pymatgen Materials Science

Automates materials science workflows including crystal structure analysis, phase diagrams, and Materials Project integration.

DeepChem Cheminformatics

Applies machine learning to chemistry, biology, and materials science to predict molecular properties and design new compounds.

Excel Analysis & Automation

Automates complex Excel data processing, visualization, and formatting using powerful Python libraries like Pandas and OpenPyXL.

ChEMBL Database for Drug Discovery

Queries ChEMBL's vast database of bioactive molecules and drug discovery data for medicinal chemistry research.

pyOpenMS Proteomics Toolkit

Processes mass spectrometry data for proteomics and metabolomics analysis using the pyOpenMS library.

GWAS Catalog Explorer

Queries the NHGRI-EBI GWAS Catalog for genetic variants, SNP-trait associations, and summary statistics to support genetic epidemiology research.

Scanpy Single-Cell Analysis

Performs comprehensive single-cell RNA-seq data analysis and visualization using the Scanpy Python framework.

PubChem Database Explorer

Accesses the world's largest chemical database to retrieve compound properties, structures, and bioactivity data for cheminformatics workflows.

Statistical Analysis Toolset

Performs comprehensive hypothesis testing, regression analysis, and Bayesian statistics with automated assumption checking and APA-style reporting.

HMDB Database Explorer

Accesses the Human Metabolome Database to retrieve detailed chemical, clinical, and biological data for over 220,000 metabolites.

scikit-survival Analysis

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

PyTorch Model CLI Implementation

Implements standalone command-line inference tools in C, C++, and Rust by extracting weights and logic from PyTorch models without Python dependencies.

DNAnexus Integration

Streamlines genomics data analysis and pipeline development on the DNAnexus cloud platform using the dxpy SDK and CLI tools.

DeepTools Bioinformatics Suite

Analyzes and visualizes high-throughput sequencing data for genomics research and quality control.

Ensembl Genome Database

Queries the Ensembl REST API to retrieve genomic annotations, sequences, variants, and comparative genomics data for over 250 species.

Video Processing

Provides structured guidance for video analysis, motion detection, and temporal event tracking using computer vision techniques.

Datamol Cheminformatics

Simplifies molecular cheminformatics workflows by providing a Pythonic interface for RDKit with sensible defaults and parallel processing.

Matchms MS Data Processing

Processes and analyzes mass spectrometry data using Python-based spectral similarity and metadata harmonization.

OMERO Microscopy Data Management

Manages and analyzes microscopy data through the OMERO Python API, including image processing, metadata handling, and ROI management.