Time Series Forecaster

About

The Time Series Forecaster skill empowers developers and data scientists to perform sophisticated temporal analysis and prediction directly within Claude. By leveraging industry-standard methodologies and libraries like Nixtla and Prophet, the skill automates the complex process of data ingestion, seasonality detection, and model selection. It is ideal for users needing to transform natural language requests into production-ready forecasting pipelines, offering everything from statistical insights to the generation of FastAPI-based forecasting services.

Key Features

• Generation of production-ready FastAPI forecasting services
• Statistical confidence interval calculation for risk assessment
• Natural language to time series pipeline transformation
• 0 GitHub stars
• Model benchmarking including ARIMA, Prophet, and TimeGPT
• Automated trend and seasonality identification

Use Cases

• Projecting quarterly sales revenue and inventory needs based on historical data
• Predicting server resource utilization and website traffic patterns for scaling
• Analyzing financial market trends and stock price fluctuations for decision support