Data Science & ML Claudeスキル

Cloud GPU Configurator

Configures cloud GPU environments and provides selection guidance for Modal, Lambda Labs, and RunPod platforms.

OpenRouter Model Routing Patterns

Implements intelligent model routing strategies to optimize for cost, performance, and reliability when building AI applications with OpenRouter.

Deep Research

Produces comprehensive, well-sourced research reports using an iterative diffusion-based refinement methodology.

ML Integration Helpers

Deploys machine learning models into full-stack applications using production-ready FastAPI endpoints, Next.js UI components, and Supabase schemas.

Teradata SVM Classification

Automates the end-to-end Support Vector Machine (SVM) workflow for linear and non-linear classification tasks within Teradata Vantage.

LangChain Application Architect

Architects sophisticated LLM applications using the LangChain framework to implement agents, memory management, and complex workflow chains.

Amazon Bedrock Inference

Integrates Amazon Bedrock Runtime APIs for unified model inference, streaming, and safety guardrails across multiple foundation models.

RAG Implementation Toolkit

Builds robust Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground AI responses in proprietary knowledge.

MATLAB & Octave Scientific Computing

Performs complex numerical analysis and scientific computing using MATLAB and GNU Octave syntax for matrix operations and data visualization.

BUGS/JAGS Bayesian Modeling

Simplifies the creation and review of Bayesian models using BUGS and JAGS declarative syntax and precision parameterization.

STC Methodology for Biostatistics

Guides the implementation and review of Simulated Treatment Comparisons (STC) using NICE DSU TSD 18 compliant methodologies.

PyMC 5 Fundamentals

Facilitates the creation, review, and optimization of Bayesian models using PyMC 5 and ArviZ diagnostics.

Conversation Memory

Implements sophisticated persistent memory systems to help AI assistants retain context and user information across multiple interactions.

MAIC Biostatistics Methodology

Provides expert guidance and best practices for conducting Matching-Adjusted Indirect Comparisons (MAIC) in biostatistical research.

Pixi Package Manager

Manages fast, reproducible scientific Python environments by unifying the conda and PyPI ecosystems using the Rust-based Pixi tool.

Prompt Engineering Patterns

Optimizes LLM interactions through advanced prompting techniques like few-shot learning, chain-of-thought, and systematic template design.

Python Anti-Slop

Enforces production-grade Python standards by eliminating generic AI coding patterns through PEP 8 compliance, rigorous type hinting, and pandas best practices.

Advanced Excel & Spreadsheet Manager

Automates the creation, modification, and analysis of professional spreadsheets with a focus on dynamic formulas and industry-standard financial modeling.

Tidymodels Recipe Patterns

Streamlines feature engineering in R using standardized preprocessing patterns for the recipes package.

Tidy Resampling Strategies for R

Implements robust data splitting and resampling methods for machine learning validation using the R rsample package.

R Survival Analysis Patterns

Performs comprehensive survival analysis and time-to-event modeling using modern R frameworks and tidy principles.

Spark Optimization

Optimizes Apache Spark data processing jobs through advanced partitioning, memory management, and shuffle tuning.

Data Science & Statistical Analysis

Empowers Claude to perform statistical modeling, design experiments, and build predictive machine learning pipelines using Python.

AI Ethics & Fairness Validator

Validates the ethical implications, fairness, and potential biases of AI models and datasets to ensure responsible development.

AI Ethics & Fairness Validator

Analyzes AI models and datasets to identify biases, evaluate fairness metrics, and ensure responsible AI development.

LLM Prompt Optimizer

Refines and compresses LLM prompts to minimize token usage, reduce costs, and maximize output quality.

LLM Prompt Optimizer

Optimizes LLM prompts to reduce token usage, lower operational costs, and improve response performance.

AI Agent Orchestrator

Orchestrates complex multi-agent systems and intelligent task routing using the AI SDK v5 across multiple LLM providers.

AI Agent Orchestrator

Orchestrates sophisticated multi-agent systems using the AI SDK v5 to manage agent handoffs, task routing, and complex collaborative workflows.

Data Anomaly Detection

Identifies outliers and unusual patterns in datasets using specialized machine learning algorithms like Isolation Forest and One-Class SVM.