Does the skill provide a measure of prediction uncertainty?

Yes, the forecaster generates confidence intervals along with point predictions to help you understand the range of probable outcomes.

Which forecasting models does this skill support?

The skill intelligently selects the best model based on data characteristics, commonly utilizing ARIMA for stationary data and Prophet for data exhibiting strong seasonal patterns.

Can this skill be used for real-time monitoring?

While it focuses on forecasting, it can be integrated into monitoring workflows to predict when metrics might exceed specific thresholds based on current trends.

What kind of data do I need to provide for accurate forecasts?

For optimal results, provide clean, chronologically ordered data with consistent time intervals and minimal missing values.

Time Series Forecaster

Name: Time Series Forecaster
Author: jeremylongshore

byjeremylongshore

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884

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Data Science & ML

Analyzes historical temporal data to predict future trends and seasonal patterns using advanced statistical modeling.

The Time Series Forecaster skill empowers Claude to perform sophisticated data analysis and predictive modeling on time-dependent datasets. By identifying underlying patterns such as seasonality, trends, and autocorrelation, the skill automates the selection and training of models like ARIMA or Prophet to generate accurate future projections. It is an essential tool for developers and data analysts who need to transform raw historical logs, sales figures, or performance metrics into actionable insights with defined confidence intervals.

Key Features

01Generation of future value predictions with confidence intervals

02Statistical performance evaluation using metrics like MAE and RMSE

03Automated data cleaning and stationarity checks

04884 GitHub stars

05Automated identification of trends and seasonal patterns

06Intelligent selection between ARIMA, Prophet, and other forecasting models

Use Cases

01Forecasting server load or website traffic for proactive infrastructure scaling

02Analyzing financial market trends and stock price volatility over time

03Predicting quarterly sales and revenue growth based on multi-year historical data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills time-series-forecaster

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01Generation of future value predictions with confidence intervals

02Statistical performance evaluation using metrics like MAE and RMSE

03Automated data cleaning and stationarity checks

04884 GitHub stars

05Automated identification of trends and seasonal patterns

06Intelligent selection between ARIMA, Prophet, and other forecasting models

Use Cases

01Forecasting server load or website traffic for proactive infrastructure scaling

02Analyzing financial market trends and stock price volatility over time

03Predicting quarterly sales and revenue growth based on multi-year historical data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills time-series-forecaster

For use in Claude.ai and ChatGPT

Download Skill