Data Science & ML Agent Skills

R Causal Mediation Analysis

Performs advanced causal mediation analysis in R to decompose total effects into direct and indirect pathways across various statistical models.

Aeon Time Series Machine Learning

Provides specialized machine learning algorithms for time series tasks including forecasting, classification, and anomaly detection using scikit-learn compatible APIs.

LLM Fine-tuning Coach

Guides users through the end-to-end Large Language Model fine-tuning lifecycle using a coach-driven workflow.

Dask Parallel Computing

Scales Python workflows using parallel and distributed computing for datasets that exceed available memory.

PyMC Bayesian Modeling

Builds, fits, and validates sophisticated Bayesian models using PyMC's probabilistic programming interface.

PyTorch Lightning Assistant

Streamlines deep learning development by organizing PyTorch code into scalable, boilerplate-free Lightning modules and automated training workflows.

System Resource Detector & Advisor

Detects hardware resources and provides strategic architectural recommendations for computationally intensive scientific tasks.

NLP Text Analyzer

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

Prediction Tracking & Evaluation

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

Scientific Schematics

Generates publication-quality scientific diagrams and architectural schematics using AI-driven iterative refinement.

Sentiment Analysis Tool

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

Neural Network Builder

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

Prompt Engineering

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

Nixtla TimeGPT Fine-Tuning Lab

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

Nixtla Exogenous Integrator

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

Polymarket Analyst & Forecaster

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

Scholar Evaluation Framework

Evaluates scholarly work using the ScholarEval framework to provide structured assessments, quantitative scoring, and actionable feedback across research dimensions.

Market Risk Analyzer

Calculates Value at Risk (VaR), volatility metrics, and optimal position sizes to manage investment risk and portfolio allocation.

Nixtla TimeGPT-2 Migrator

Automates the transition of time-series forecasting workflows from legacy TimeGPT-1 to the updated TimeGPT-2 API and SDK.

Nixtla TimeGPT Lab

Generates high-performance time series forecasting pipelines and model benchmarks using the Nixtla ecosystem.

Nixtla Anomaly Detector

Detects anomalies, outliers, and trend breaks in time series data using TimeGPT without the need for manual model training.

Nixtla Batch Forecaster

Forecasts multiple time series in parallel using the TimeGPT API for high-throughput predictive modeling.

Nixtla Cross-Validator

Evaluates time series model performance using rigorous cross-validation techniques like expanding and sliding windows.

Nixtla Demo Generator

Generates production-ready Jupyter notebooks for time-series forecasting using Nixtla's StatsForecast, MLForecast, and TimeGPT libraries.

Nixtla Model Selector

Automatically selects and executes the optimal forecasting model between StatsForecast and TimeGPT based on time series data characteristics.

Regression Analysis Tool

Automates statistical modeling and data analysis to uncover variable relationships and generate predictive insights.

GeoPandas Spatial Analysis

Performs advanced geospatial vector data analysis, coordinate transformations, and spatial mapping within Python environments.

Nixtla Time Series Lab

Generates production-grade time series forecasts, model benchmarks, and predictive pipelines using the Nixtla ecosystem.

Crypto Hard Filter Simplification

Streamlines cryptocurrency asset selection by bypassing irrelevant equity filters and handling data gaps in financial datasets.

Machine Learning Model Deployment

Automates the end-to-end process of deploying, containerizing, and serving machine learning models via production-ready APIs.