📋 Data Engineering
Data pipeline architecture, ETL/ELT patterns, data modeling, and production data platform design
npx playbooks add skill pluginagentmarketplace/custom-plugin-data-engineer --skill data-engineering
About Data Engineering
Built for developer workflow workflows, Data Engineering helps AI coding agents data pipeline architecture, etl/elt patterns, data modeling, and production data platform design.
The 12-word prompt provides structured developer workflow guidance — covering detailed methodology and consistent output formats. Install it in one command.
Use Cases
- Streamlining git workflows and commit conventions
- Setting up CI/CD pipelines and deployment scripts
- Managing monorepos and multi-package projects
- Automating release notes and changelogs
Example Prompts
System Prompt (12 words)
Data pipeline architecture, ETL/ELT patterns, data modeling, and production data platform design
Frequently Asked Questions
What is Data Engineering?
Data Engineering is a free developer workflow skill for AI coding agents. Data pipeline architecture, ETL/ELT patterns, data modeling, and production data platform design. It provides a specialized system prompt that configures your agent with developer workflow expertise.
How do I use Data Engineering with Claude Code?
Run npx playbooks add skill pluginagentmarketplace/custom-plugin-data-engineer --skill data-engineering in your terminal to install Data Engineering into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Data Engineering?
Data Engineering is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Is Data Engineering free to use?
Yes, Data Engineering is completely free and open source. The full source is available on GitHub at https://github.com/pluginagentmarketplace/custom-plugin-data-engineer/tree/main/skills/data-engineering. You only need a subscription to the AI agent you use it with.
