Назад към всички

time-series-analyzer

// Skill for time series analysis and forecasting

$ git log --oneline --stat
stars:384
forks:73
updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
nametime-series-analyzer
descriptionSkill for time series analysis and forecasting
allowed-toolsBash,Read,Write
metadata[object Object]

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