time-series-analyzer

name	time-series-analyzer
description	Skill for time series analysis and forecasting
allowed-tools	["Bash","Read","Write"]
metadata	{"specialization":"scientific-discovery","domain":"science","category":"Data Analysis","skill-id":"SK-SCIDISC-020"}
graph	{"domains":["domain:scientific-discovery"],"specializations":["specialization:scientific-research-methods"],"skillAreas":["skill-area:data-analysis","skill-area:statistical-analysis","skill-area:deep-web-research"],"workflows":["workflow:experiment-design","workflow:peer-review-cycle"],"roles":["role:research-engineer","role:computational-scientist"]}

Time Series Analyzer Skill

Purpose

Analyze time series data for trends, seasonality, and patterns, and generate forecasts using appropriate methods.

Capabilities

• Decompose time series
• Identify patterns
• Fit ARIMA models
• Generate forecasts
• Assess stationarity
• Evaluate accuracy

Usage Guidelines

1. Prepare time series
2. Assess stationarity
3. Identify patterns
4. Select model
5. Generate forecasts
6. Evaluate accuracy

Process Integration