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car-sales-data-engineering-analytics — Claude Code skill: install

This skill cleans car sales data, runs statistical analysis, and serves an interactive Streamlit dashboard. Use it to inspect prices, regions, and vehicle attributes.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓ 
npx skills add reason-machines/data-skills --skill car-sales-data-engineering-analytics -a claude-code
Open on GitHub

What car-sales-data-engineering-analytics does

The skill reads data/Car sales.csv, prepares the dataset, and writes the cleaned result to outputs/cleaned_data.csv. It can produce charts for price distribution, monthly sales, regional activity, income, and transmission type, alongside descriptive statistics.

Its analysis code covers ETL, regression, outlier detection, normality testing, and transmission-price comparisons. The src/ui.py dashboard supports filters for price, dealer region, and company, then lets users export the filtered rows as CSV. Run the complete workflow with uv run python -m src.main --pipeline, or start the UI with uv run streamlit run src/ui.py.

The project requires Python 3.10+, pandas, numpy, matplotlib, scipy, and streamlit; install the dependencies with uv sync. The analysis and dashboard will not run without those packages.

What it helps with

  • clean a car sales CSV
  • compare prices across regions and transmissions
  • plot monthly sales patterns
  • model the relationship between income and price
  • filter vehicle records and export CSV

Example prompts for the agent

  • Analyze data/Car sales.csv and run the full sales analysis pipeline.
  • Start a Streamlit dashboard for the car data with price, region, and company filters.
  • Compare automatic and manual transmission prices, then save the chart under outputs/figures/.

How to install car-sales-data-engineering-analytics

1Skills CLI (Vercel)

npx skills add reason-machines/data-skills --skill car-sales-data-engineering-analytics -a claude-code

2Manually: put the files in place

~/.claude/skills/car-sales-data-engineering-analytics/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/car-sales-data-engineering-analytics/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about car-sales-data-engineering-analytics

How do I install car-sales-data-engineering-analytics in Claude Code?

Run npx skills add reason-machines/data-skills --skill car-sales-data-engineering-analytics -a claude-code, then check ~/.claude/skills/car-sales-data-engineering-analytics/SKILL.md.

What does car-sales-data-engineering-analytics do?

It cleans car sales data, performs statistical analysis and modeling, creates charts, and provides a Streamlit dashboard with filtering and CSV export.

What is required to run this skill?

The project needs Python 3.10+, pandas, numpy, matplotlib, scipy, and streamlit. Dependencies are installed with uv sync.

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