time-series
CommunityForecast time-series data with robust models.
Authorpluginagentmarketplace
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Temporal data is often volatile and difficult to forecast; this skill provides a structured framework to analyze patterns, test stationarity, and build accurate forecasting models across multiple methodologies (ARIMA, SARIMA, Prophet, and exponential smoothing) to support demand forecasting, trend detection, and anomaly identification.
Core Features & Use Cases
- Auto-select and apply ARIMA/SARIMA/Prophet models for forecasting and seasonality analysis.
- Support data preparation, feature engineering, model evaluation, and visualization to inform business decisions.
- Use Case: Forecast demand, detect anomalies, and reveal temporal patterns in finance, retail, and operations.
Quick Start
Prepare a time-series dataset and run the time-series skill to generate forecasts for the next 30 periods.
Dependency Matrix
Required Modules
yaml
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: time-series Download link: https://github.com/pluginagentmarketplace/custom-plugin-ai-data-scientist/archive/main.zip#time-series Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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