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data-engineering-study-material — Claude Code skill: what it does

A study guide skill for data engineering: explains concepts, shows pipeline examples, and helps with interview prep.

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

What data-engineering-study-material does

The skill hands your agent a study guide for data engineering. It covers fundamentals and architecture patterns, ETL/ELT examples in Python with pandas and sqlalchemy, data quality checks through Great Expectations, an Apache Airflow DAG, plus streaming, batch processing, cloud platforms and orchestration.

It fires on triggers like explaining a data engineering concept or asking for interview preparation. The material is split into sections: fundamentals, tools, architectures, pipelines, cloud-platforms, streaming, batch-processing, data-quality, orchestration, interview-prep, projects.

This is a repository of text and code samples, not a package or a library. Running the examples needs Python and dependencies such as pandas, sqlalchemy, great_expectations, apache-airflow. If you want a tool that moves data on its own, this is not it — you read and work through the code yourself.

What it helps with

  • explain the difference between ETL and ELT with an example
  • build a learning pipeline from CSV into Postgres
  • write data quality checks for a table
  • prepare answers for a data engineering interview
  • walk through the structure of an Airflow DAG

Example prompts for the agent

  • explain how an ETL pipeline works and show me a Python example
  • what are the best practices for data quality checks?
  • help me prepare for a data engineering interview

How to install data-engineering-study-material

1Skills CLI (Vercel)

npx skills add reason-machines/data-skills --skill data-engineering-study-material -a claude-code

2Manually: put the files in place

~/.claude/skills/data-engineering-study-material/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/data-engineering-study-material/

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

Questions about data-engineering-study-material

How do I install data-engineering-study-material in Claude?

Run npx skills add reason-machines/data-skills --skill data-engineering-study-material -a claude-code. The skill lands in ~/.claude/skills/data-engineering-study-material/SKILL.md.

What does data-engineering-study-material do?

It gives the agent a data engineering reference: concepts, pipeline examples, data quality checks, an Airflow DAG and interview preparation material.

Is this a ready-made data processing tool?

No. It is a study repository with text and code samples. Running the examples requires Python and dependencies such as pandas, sqlalchemy, great_expectations.

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