Exploratory data analysis and data quality for the anofox_forecast DuckDB extension — 34 per-series statistics, data-quality scoring, quality-report summaries, and 117 tsfresh-compatible feature extraction. Use before forecasting to understand series characteristics (length, gaps, trend, seasonality strength, intermittency) or to build ML feature vectors for downstream models.
$npx -y skills add datazoode/anofox-forecast --skill anofox-forecast-edaInstalls into the current project.
Run `npx skills use "https://github.com/datazoode/anofox-forecast" --skill "datazoode/anofox-forecast/anofox-forecast-eda"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/datazoode/anofox-forecast" that are relevant to the current task. Run `npx skills add "https://github.com/datazoode/anofox-forecast"` and select the relevant skills, then follow their instructions.