Data Science & ML Claude 스킬

AI Recommendation Engine Builder

Builds sophisticated recommendation systems using collaborative filtering, content-based algorithms, and hybrid machine learning models.

Vaex Big Data Analysis

Processes and analyzes massive tabular datasets exceeding RAM limits using high-performance out-of-core DataFrames.

CZ CELLxGENE Census Data Analysis

Enables programmatic access and analysis of the CZ CELLxGENE Census, a collection of over 61 million standardized single-cell genomics records.

Scientific Resource Detector

Detects system hardware capabilities to provide strategic recommendations for computationally intensive scientific tasks.

Statsmodels Statistical Analysis

Performs rigorous statistical modeling and econometric analysis using Python's statsmodels library for deep data insights.

NetworkX Graph Analysis

Analyzes, visualizes, and manipulates complex network structures and graph data using the NetworkX Python library.

Model Explainability Tool

Provides deep interpretability and explainability for machine learning models using advanced techniques like SHAP and LIME.

Excel Variance Analyzer

Automates financial budget-vs-actual variance analysis with professional reporting, automated commentary, and executive summaries.

PyLabRobot Lab Automation

Automates laboratory workflows and controls liquid handling robots and analytical equipment through a hardware-agnostic Python interface.

Codex CLI Integration

Integrates Codex CLI command patterns into Claude Code to enable advanced multi-agent planning and high-reasoning execution.

Excel Variance Analyzer

Automates budget vs. actual financial variance analysis with professional reporting, materiality flagging, and executive summaries.

Model Versioning Tracker

Tracks and manages AI/ML model versions, performance metrics, and lineage for streamlined model registry management.

Scientific Critical Thinking

Evaluates research rigor and methodology through systematic assessment of statistical validity, biases, and evidence quality.

Machine Learning Feature Engineering

Optimizes machine learning model performance by automating feature creation, selection, and complex data transformations.

LLM Evaluation & Metrics

Implements rigorous evaluation frameworks for Large Language Model applications using automated metrics, LLM-as-judge patterns, and human feedback loops.

ClinVar Database Assistant

Queries and interprets NCBI ClinVar data to provide standardized genetic variant classifications and clinical significance evidence.

Pysam Genomic Data Toolkit

Processes and analyzes genomic data formats including BAM, VCF, and FASTA using a Pythonic interface to htslib.

RAG Implementation Expert

Builds sophisticated Retrieval-Augmented Generation (RAG) systems to ground LLM responses with external knowledge and proprietary data.

Histolab Pathology Processing

Automates digital pathology image processing and tile extraction for whole slide images in deep learning pipelines.

Qiskit Quantum Computing

Builds, optimizes, and executes quantum circuits and algorithms across various hardware providers and simulators.

Plotly Visualization

Generates interactive, publication-quality scientific and statistical visualizations using the Plotly Python library.

Adaptyv Protein Engineering

Streamlines automated protein testing and validation through cloud-based laboratory workflows and sequence optimization tools.

Opentrons Lab Automation

Automates laboratory liquid handling by generating Python Protocol API v2 scripts for Flex and OT-2 robots.

Prompt Optimizer

Optimizes Large Language Model prompts to minimize token usage, reduce operational costs, and enhance response quality.

Metabolomics Workbench Database

Connects Claude to the NIH Metabolomics Workbench for comprehensive access to metabolite data, study metadata, and mass spectrometry search capabilities.

PyTorch Lightning ML Framework

Organizes and scales PyTorch code into modular, high-performance deep learning workflows with minimal boilerplate.

AI Model Version Tracker

Manages and tracks machine learning model versions, performance metrics, and lineage directly within Claude Code.

Pymatgen Materials Science Toolkit

Performs advanced materials analysis, crystal structure manipulation, and Materials Project database integration for computational scientists.

MedChem Molecular Triage

Applies medicinal chemistry rules and structural filters to prioritize and triage molecular libraries for drug discovery.

SymPy Symbolic Math

Performs exact symbolic mathematics in Python, including calculus, algebra, and complex equation solving.