Built for wrangling ~24K car sales records with a full ETL pipeline and 15 prebuilt analyses covering pricing, regional trends, and demographic patterns. You get statistical modeling (regression, t-tests, outlier detection), automatic data cleaning, and a Streamlit dashboard that lets you filter and export custom slices. It's heavier than a quick Jupyter notebook but lighter than standing up a full BI stack. If you're doing one-off automotive sales analysis or need to hand stakeholders an interactive dashboard without writing much code, this handles the boring parts. The regression and correlation tools are straightforward but adequate for common business questions about price drivers and customer segments.
npx -y skills add aradotso/data-skills --skill car-sales-data-engineering-analytics --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills