Data Science & ML Claudeスキル

AI & ML Prompt Optimizer

Optimizes Large Language Model (LLM) prompts to minimize token consumption, reduce operational costs, and enhance response quality.

Code Analyzer

Analyzes GitHub repositories to extract computational methodologies and automatically draft scientific Methods sections.

TimeGPT Pipeline Builder

Generates production-ready Python forecasting pipelines using Nixtla's TimeGPT API to automate complex time-series analysis.

Nixtla Forecast Validator

Validates time series forecast quality and detects performance degradation by comparing current metrics against historical benchmarks.

Nixtla Experiment Architect

Scaffolds production-ready time-series forecasting experiments using Nixtla's suite of machine learning and statistical libraries.

RAG Systems Implementation

Builds robust Retrieval-Augmented Generation (RAG) systems for LLM applications using vector databases and semantic search.

Feature Engineering Toolkit

Automates the creation, selection, and transformation of data features to optimize machine learning model performance and accuracy.

Arxiv Paper Reader

Accesses and analyzes Arxiv research papers directly within Claude to facilitate academic research and technical Q&A.

Recommendation Engine Builder

Builds sophisticated recommendation systems using collaborative filtering, content-based, and hybrid modeling techniques.

Machine Learning Model Trainer

Automates the end-to-end process of training, evaluating, and persisting machine learning models from raw datasets.

Time Series Forecaster

Automates time series analysis and forecasting to predict future trends and seasonal patterns using advanced machine learning models.

Prompt Engineering Patterns

Optimizes LLM performance and reliability through advanced prompting techniques like few-shot learning and chain-of-thought reasoning.

MLOps Pipeline Orchestrator

Build, automate, and manage end-to-end MLOps pipelines from data ingestion through production deployment.

Nixtla Uncertainty Quantifier

Quantifies forecast uncertainty by generating prediction intervals and confidence bands for time series models using conformal prediction.

Nixtla Time Series Model Selector

Automatically selects and executes the optimal forecasting engine between StatsForecast and TimeGPT based on your data's unique characteristics.

LangChain Architecture & Agent Design

Architects sophisticated LLM applications using LangChain patterns for autonomous agents, conversational memory, and complex workflow orchestration.

Nixtla Forecast Explainer

Generates plain-English narratives and executive summaries from TimeGPT forecast results to bridge the gap between data science and business stakeholders.

AgentDB Advanced Operations

Master advanced vector database operations, including distributed QUIC synchronization and hybrid search for high-performance AI applications.

LangChain Architecture Design

Architects and implements sophisticated LLM applications using the LangChain framework for agents, memory management, and complex AI workflows.

Feature Engineering Toolkit

Automates the creation, selection, and transformation of data features to optimize machine learning model performance.

Excel DCF Modeler

Builds professional investment banking-grade discounted cash flow (DCF) valuation models in Excel with automated financial projections and sensitivity analysis.

Model Versioning Tracker

Tracks and manages AI/ML model versions, lineage, and performance metrics within your development workflow.

AI Governance & Safety

Enforces safety protocols, human-in-the-loop approval flows, and comprehensive audit logs for autonomous AI agents.

Excel Variance Analyzer

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

Model Evaluation Benchmark

Automates comprehensive AI model evaluation benchmarks to measure efficiency, code quality, and workflow adherence.

Deep Learning Optimizer

Optimizes neural network performance by automatically applying advanced training algorithms, learning rate schedules, and regularization techniques.

AI LangGraph Architect

Orchestrates complex multi-agent workflows and autonomous graph architectures using the LangGraph framework.

Nixtla Contract Schema Mapper

Transforms prediction market datasets into standardized Nixtla formats for seamless time-series forecasting.

Machine Learning Model Explainability

Provides deep interpretability for machine learning models using SHAP and LIME to explain predictions and feature importance.

AutoML Pipeline Builder

Streamlines machine learning development by automatically generating end-to-end pipelines for model selection, tuning, and evaluation from natural language.