Data Science & ML Claudeスキル

Polymarket Analyst & Forecaster

Forecasts Polymarket prediction market prices using Nixtla TimeGPT to provide data-driven trading signals and probabilistic trend analysis.

Nixtla Exogenous Integrator

Integrates external variables like holidays and weather data into TimeGPT models to significantly improve time series forecasting accuracy.

Nixtla TimeGPT Fine-Tuning Lab

Fine-tunes the TimeGPT model on custom time series data to maximize forecasting precision for domain-specific applications.

Prompt Engineering

Implements advanced LLM interaction patterns and optimization techniques to maximize Claude's performance and reliability.

Neural Network Builder

Automates the design, configuration, and construction of custom neural network architectures like CNNs, RNNs, and Transformers through natural language.

Sentiment Analysis Tool

Analyzes the emotional tone and polarity of text data to provide actionable insights from feedback, social media, and reviews.

Prediction Tracking & Evaluation

Tracks and audits AI research predictions over time to evaluate accuracy and predictor reliability.

NLP Text Analyzer

Performs comprehensive natural language processing tasks including sentiment analysis, keyword extraction, and topic modeling directly within Claude.

Nixtla Exogenous Integrator

Enhances TimeGPT time series forecasts by integrating external variables like holidays, weather, and events for improved predictive accuracy.

Nixtla Time Series Cross-Validator

Evaluates time series forecasting models using rigorous cross-validation and backtesting techniques to ensure prediction accuracy.

Pixi Scientific Package Management

Manages fast, reproducible scientific Python environments by unifying the conda and PyPI ecosystems.

AI SDK Agent Orchestrator

Architects and manages sophisticated multi-agent systems using the Vercel AI SDK v5 for coordinated AI workflows.

ML Model Trainer

Automates the end-to-end machine learning lifecycle from data analysis and model selection to training and evaluation.

Deep Learning Model Optimizer

Enhances deep learning model performance through automated architecture analysis, hyperparameter tuning, and efficient training strategies.

Machine Learning Hyperparameter Tuner

Optimizes machine learning model performance by automatically executing grid search, random search, and Bayesian optimization strategies.

Regression Analysis Tool

Performs automated regression modeling and statistical analysis to uncover relationships between variables and predict numerical outcomes.

MLOps Pipeline Workflow

Builds end-to-end MLOps pipelines to automate data preparation, model training, validation, and production deployment.

RAG Implementation for LLM Apps

Implement production-ready Retrieval-Augmented Generation (RAG) systems to ground LLM responses in external knowledge and proprietary data.

GPU VRAM Management & OOM Recovery

Optimizes GPU memory usage across multiple AI services by implementing automated VRAM management, retry logic, and inter-service signaling.

Spark Data Processing

Streamlines the development of PySpark ETL pipelines and distributed data processing workflows.

Nixtla Model Benchmarker

Generates comprehensive benchmarking pipelines to compare Nixtla's TimeGPT, StatsForecast, MLForecast, and NeuralForecast models on custom datasets.

Data & Model Verification Pipeline

Automates a multi-phase gated workflow to produce verified datasets, evaluation metrics, and deployable contract bundles.

Excel LBO Modeler

Builds professional-grade private equity leveraged buyout (LBO) models in Excel with automated debt schedules and return analysis.

AutoML Pipeline Builder

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

Machine Learning Model Explainability

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

Nixtla Contract Schema Mapper

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

Deep Learning Optimizer

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

Model Evaluation Benchmark

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

Excel Variance Analyzer

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

Model Versioning Tracker

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