Project overview
This skill gives data engineers ten practical rules for writing or reviewing Hive, Impala, and Spark ETL with an AI coding assistant. It targets failures that may not raise errors, such as shifted columns, lost rows, unsafe joins, runaway aggregation, and stale metadata, and separates analysis behavior from coding behavior.
Repository facts
- Primary language
- Not detected
- License
- Not publicly identified
- Repository updated
- Apr 8, 2026
- Default branch
- main
Resource types
General skill
Use cases
Software developmentData and analytics
Platforms
Claude Code, Codex, and more