This one's for building production data infrastructure, not just writing SQL queries. You get patterns for modern data stacks (dbt, Airflow, Spark), cloud warehouses (Snowflake, BigQuery, Redshift), and streaming with Kafka or Flink. It covers the full pipeline lifecycle from ingestion through transformation to monitoring, plus real implementation details for data quality frameworks like Great Expectations and lineage tools like DataHub. The scope is comprehensive, maybe even overwhelming if you just need to move some CSVs around. Best for when you're architecting actual data platforms with SLAs, governance requirements, and scale problems. The security and compliance sections are solid, covering encryption, access control, and PII handling properly.
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill data-engineer