# Time Series Forecasting

> Build time series models for temporal prediction

- Skill: `lgrappag/time-series-forecasting` (Agent Skill)
- Install (CLI): `npx skillmds@latest add lgrappag/time-series-forecasting`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lgrappag/time-series-forecasting/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: LgrappaG (https://skillmd.com/u/lgrappag)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/lgrappag/time-series-forecasting

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# Time Series Forecasting

Build time series models for temporal prediction

## Risk Level
**HIGH**

## Core Rules
- Handle seasonality
- ensure stationarity
- test forecasts

## Response Pattern

### When Using This Skill
1. Configure time series
2. train models
3. validate forecasts
4. Ensure performance meets requirements

## Usage Contexts
- Event prediction
- trend forecasting

## What NOT to Do
- Poor seasonality handling
- non-stationarity issues
- autocorrelation problems

## Key Requirements
- Understand the use cases before application
- Follow the documented response pattern
- Validate results in the target environment
- Monitor for performance impact

## Further Learning
Review related skills and documentation for deeper understanding of related systems and best practices.