bycharlieviettq· 60 skills
\"Build ARIMA models for time series forecasting with trend and seasonality decomposition. Use this skill when the user needs to forecast future values from historical sequential data, test for stationarity, or select ARIMA parameters — even if they say 'time series forecast', 'predict next month sales', or 'ARIMA model'.\".
$npx -y skills add charlieviettq/awesome-agent-skill --skill algo-forecast-arimaInstalls into the current project.
Run `npx skills use "https://github.com/charlieviettq/awesome-agent-skill" --skill "charlieviettq/awesome-agent-skill/algo-forecast-arima"` 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/charlieviettq/awesome-agent-skill" that are relevant to the current task. Run `npx skills add "https://github.com/charlieviettq/awesome-agent-skill"` and select the relevant skills, then follow their instructions.