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

Works within scientific discovery workflows for:
- Trend analysis
- Forecasting
- Pattern detection
- Temporal modeling

## Configuration

- Model selection
- Forecast horizons
- Decomposition methods
- Accuracy metrics

## Output Artifacts

- Decomposition plots
- Model diagnostics
- Forecast results
- Accuracy reports