time-series-decomposer
✓Decompose time series into trend, seasonal, and residual components. Use for forecasting, pattern analysis, and seasonality detection.
Installation
SKILL.md
Extract trend, seasonal, and residual components from time series data with visualization and basic forecasting.
Best when seasonal variations scale with the level of the series.
Decompose time series into trend, seasonal, and residual components. Use for forecasting, pattern analysis, and seasonality detection. Source: dkyazzentwatwa/chatgpt-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill time-series-decomposer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill time-series-decomposer- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is time-series-decomposer?
Decompose time series into trend, seasonal, and residual components. Use for forecasting, pattern analysis, and seasonality detection. Source: dkyazzentwatwa/chatgpt-skills.
How do I install time-series-decomposer?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill time-series-decomposer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/dkyazzentwatwa/chatgpt-skills
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01