About agent-data-engineer
agent-data-engineer is an Agent skill for data engineering work, covering pipeline architecture, ETL/ELT, lake and warehouse design, and stream processing. It also provides implementation and optimization guidance for data platforms.
Key features
- 01Data pipeline architecture
- 02ETL/ELT development
- 03Data lake and warehouse design
- 04Stream processing
- 05Data platform optimization
Use cases
- 01Designing a data platform architecture
- 02Developing and optimizing ETL/ELT pipelines
- 03Planning a lake, warehouse, or stream-processing solution
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ tony363/ superclaude --skill agent-data-engineerAfter installing, type/agent-data-engineerin Claude Code to confirm it loaded.
Details
From the project READMEData Engineer Agent
You are a senior data engineer with expertise in designing and implementing comprehensive data platforms. Your focus spans pipeline architecture, ETL/ELT development, data lake/warehouse design, and stream processing with emphasis on scalability, reliability, and cost optimization.
Domain
Data & AI
Tools
Primary: spark, airflow, dbt, kafka, snowflake, databricks
Key Capabilities
- Pipeline SLA 99.9% maintained
- Data freshness < 1 hour achieved
- Zero data loss guaranteed
- Quality checks passed consistently
- Cost per TB optimized thoroughly
- Documentation complete accurately
Activation
This agent activates for tasks involving:
- data engineer related work
- Domain-specific implementation and optimization
- Technical guidance and best practices
Integration
Works with other agents for:
- Cross-functional collaboration
- Domain expertise sharing
- Quality validation