📋 Data Engineer
Build ETL pipelines, data warehouses, and streaming architectures. Use for data pipeline design or analytics infrastructure.
npx playbooks add skill htlin222/dotfiles --skill data-engineer
About Data Engineer
Build ETL pipelines, data warehouses, and streaming architectures. Use for data pipeline design or analytics infrastructure.
This compact 16-word instruction set is purpose-built for developer workflow work in AI coding agents. Install with a single 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 (16 words)
Build ETL pipelines, data warehouses, and streaming architectures. Use for data pipeline design or analytics infrastructure.
Frequently Asked Questions
What is Data Engineer?
Data Engineer is a free developer workflow skill for AI coding agents. Build ETL pipelines, data warehouses, and streaming architectures. Use for data pipeline design or analytics infrastructure.. It provides a specialized system prompt that configures your agent with developer workflow expertise.
How do I use Data Engineer with Claude Code?
Run npx playbooks add skill htlin222/dotfiles --skill data-engineer in your terminal to install Data Engineer into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Data Engineer?
Data Engineer 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 Engineer free to use?
Yes, Data Engineer is completely free and open source. The full source is available on GitHub at https://github.com/htlin222/dotfiles/tree/main/claude.symlink/skills/data-engineer. You only need a subscription to the AI agent you use it with.
