Data Science & ML Claude 스킬

Prompt Engineering Patterns

Implements advanced prompt engineering techniques to maximize LLM performance, reliability, and structured output quality.

Time Series Forecaster

Predicts future values and identifies patterns in historical time-dependent data using advanced statistical models.

SymPy Symbolic Math

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

Aeon Time Series ML

Provides a comprehensive toolkit for time series machine learning including classification, forecasting, and anomaly detection using scikit-learn compatible APIs.

Regression Analysis & Modeling

Automates regression modeling and data analysis to identify relationships between variables and predict future trends.

Arboreto Gene Network Inference

Infers large-scale gene regulatory networks from transcriptomics data using scalable algorithms like GRNBoost2 and GENIE3.

Benchling R&D Integration

Integrates Claude with the Benchling R&D platform to automate lab data management, registry entities, and inventory workflows via Python SDK and REST API.

BioRxiv Scientific Database Search

Enables efficient searching, metadata retrieval, and PDF downloads from the bioRxiv preprint server for life sciences research.

Crypto Market Sentiment Analyzer

Analyzes cryptocurrency market sentiment, social trends, and on-chain data to generate actionable trading insights and risk assessments.

Data Preprocessing Pipeline

Builds and executes automated ETL pipelines for cleaning, validating, and transforming raw datasets into model-ready formats.

Transfer Learning Adapter

Automates the fine-tuning and adaptation of pre-trained machine learning models for specific tasks and new datasets.

Clinical Decision Support

Generates publication-ready clinical decision support documents, biomarker-stratified cohort analyses, and evidence-based treatment guidelines.

Scientific Resource Detector

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

Model Explainability Tool

Provides interpretability and transparency for machine learning models by explaining predictions and identifying key feature importance.

DrugBank Database Analysis

Accesses and analyzes comprehensive pharmaceutical data from DrugBank for research, drug discovery, and interaction analysis.

AI Agent System Orchestrator

Orchestrates complex multi-agent systems using the AI SDK v5 to facilitate intelligent task routing and seamless agent handoffs.

Research Information Lookup

Conducts real-time academic research and technical documentation searches using Perplexity's Sonar models with automated citations.

Anomaly Detection System

Identifies outliers and unusual patterns in datasets using advanced machine learning algorithms.

Deep Learning Optimizer

Optimizes deep learning models by refining architectures, tuning hyperparameters, and improving training efficiency.

LatchBio Bioinformatics Integration

Develops, deploys, and manages serverless bioinformatics pipelines using the Latch SDK and cloud infrastructure.

Data Visualization Creator

Transforms raw datasets into insightful charts, plots, and graphs using intelligent data analysis and automated library selection.

ENA Bioinformatics Database

Accesses and retrieves nucleotide sequences, raw reads, and genomic metadata from the European Nucleotide Archive (ENA).

ML Experiment Tracking Setup

Automates the integration and configuration of experiment tracking tools like MLflow and Weights & Biases for machine learning projects.

Bioinformatics & Genomics Toolkit (gget)

Provides rapid access to 20+ genomic databases and bioinformatics tools for gene searching, sequence alignment, and protein structure prediction.

Excel LBO Modeler

Automates the creation of professional-grade Leveraged Buyout (LBO) models in Excel for private equity and investment analysis.

Transfer Learning Adapter

Automates the fine-tuning and adaptation of pre-trained machine learning models for new tasks and datasets.

Seaborn Statistical Visualization

Create publication-quality statistical graphics and complex data visualizations using the Seaborn Python library.

PyTorch Geometric (PyG)

Develops and trains sophisticated Graph Neural Networks (GNNs) for irregular data structures using the PyTorch Geometric library.

Biomni Biomedical AI

Executes autonomous multi-step biomedical research tasks across genomics, drug discovery, and clinical analysis.

Neural Network Builder

Constructs and configures custom neural network architectures including CNNs, RNNs, and Transformers directly within the Claude Code environment.