This is a comprehensive prompt for tackling senior-level data engineering work, from designing data pipelines to optimizing distributed systems. You'd reach for this when you need to architect a lakehouse, debug Spark performance issues, or make decisions about data modeling and infrastructure at scale. It covers the full stack: ingestion, transformation, storage, orchestration, and monitoring. The scope is wide, which makes it flexible for different data platform challenges, though you'll want to provide specific context about your stack and business requirements to get the most relevant guidance. Solid choice if you're building production data systems and need architectural thinking, not just code snippets.
npx skills add https://github.com/alirezarezvani/claude-skills --skill senior-data-engineer