Data Science & ML Claude 스킬

Modal Cloud Compute

Deploys and runs Python applications on serverless cloud infrastructure with automatic scaling and GPU acceleration.

Genomics & Transcriptomics Analysis

Provides strategies, implementation patterns, and workflows for genomics and transcriptomics data analysis.

ENA Database Access

Retrieves nucleotide sequences, raw sequencing reads, and metadata from the European Nucleotide Archive for genomics research.

Analyze Goodreads Export

Queries and analyzes personal book libraries from Goodreads CSV exports to provide reading insights and statistics.

LLM Embedding Strategies

Optimizes semantic search and RAG applications by selecting, implementing, and fine-tuning high-performance embedding models and chunking strategies.

PyTDC (Therapeutics Data Commons)

Accesses AI-ready drug discovery datasets and benchmarks for therapeutic machine learning and pharmacological prediction.

Adaptyv Protein Design & Validation

Automates protein testing and validation through a cloud-based laboratory platform for accelerated biotechnological research and sequence optimization.

ML Pipeline Workflow

Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.

LLM Evaluation Framework

Implement comprehensive evaluation strategies for AI applications using automated metrics, LLM-as-judge patterns, and human feedback.

Denario Scientific Research Assistant

Automates the end-to-end scientific research pipeline from hypothesis generation and data analysis to publication-ready LaTeX manuscripts.

Data Commons Client

Provides programmatic access to global statistical data for demographic, economic, and environmental research.

Cirq Quantum Computing

Designs, simulates, and executes quantum circuits using Google's Cirq framework for NISQ-era hardware and noise-aware algorithms.

ML Pipeline Workflow

Build and orchestrate end-to-end MLOps pipelines from data preparation through production deployment.

PyMC Bayesian Modeling

Streamlines the creation, fitting, and validation of Bayesian models using PyMC's modern probabilistic programming interface.

FRED Economic Data

Queries the Federal Reserve Economic Data (FRED) API to retrieve over 800,000 economic time series for financial research and macroeconomic analysis.

LangChain Architecture

Builds sophisticated LLM-powered applications using autonomous agents, complex chains, and context-aware memory systems.

Tidymodels Workflow Patterns

Implements end-to-end machine learning pipelines in R using the modern tidymodels ecosystem.

Agri Hedge Fund Positioning Tracker

Quantifies hedge fund capital flows in agricultural commodity markets using CFTC COT data and macro sentiment indicators.

ReasoningBank AgentDB Adaptive Learning

Implements high-performance adaptive learning and memory distillation for self-improving AI agents using AgentDB.

RAG Implementation & AI Knowledge Systems

Implements Retrieval-Augmented Generation (RAG) architectures to ground LLM responses in proprietary data using vector databases and semantic search.

RAG Implementation & Optimization

Builds and optimizes Retrieval-Augmented Generation (RAG) systems using advanced vector search, semantic chunking, and retrieval patterns.

LangChain & LangGraph Architecture

Architects sophisticated LLM applications using LangChain 1.x and LangGraph for stateful agents, complex workflows, and advanced memory management.

RAG System Implementation

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

Excel & Data Analysis Toolkit

Creates, edits, and analyzes Excel spreadsheets with professional formatting, automated formula recalculation, and integrated data visualization.

Polars Data Engineering

Accelerates data manipulation and ETL pipelines with the high-performance Polars DataFrame library.

RLOO Reinforcement Learning

Implements Reinforcement Learning with Leave-One-Out (RLOO) estimation for stable policy optimization and reasoning model training.

Supervised Fine-Tuning (SFT) with Unsloth

Accelerates LLM instruction-tuning using Unsloth-optimized SFTTrainer for faster, memory-efficient model adaptation.

SHAP Model Explainability

Explains machine learning model predictions and feature importance using SHAP values and comprehensive visualizations.

RAG Pipeline Implementation

Implements Retrieval-Augmented Generation (RAG) workflows to ground AI responses with external document context and reduce hallucinations.

Model Fine-Tuning & Training

Fine-tunes large language models using PyTorch, HuggingFace, and Unsloth to adapt AI behaviors to specific datasets and tasks.