Babysitter time-series-analyzer

Skill for time series analysis and forecasting

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/scientific-discovery/skills/time-series-analyzer" ~/.claude/skills/a5c-ai-babysitter-time-series-analyzer && rm -rf "$T"

manifest: library/specializations/domains/science/scientific-discovery/skills/time-series-analyzer/SKILL.md

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

Prepare time series
Assess stationarity
Identify patterns
Select model
Generate forecasts
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