{"skill":{"slug":"etl-design","displayName":"Etl Design","summary":"Deep ETL/ELT design workflow—extract patterns, transforms, loading strategies, idempotency, validation, and reconciliation. Use when designing batch data flo...","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":169,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1774398284433,"updatedAt":1774398412558},"latestVersion":{"version":"1.0.0","createdAt":1774398284433,"changelog":"Initial release of the etl-design skill, providing a structured ETL/ELT workflow for robust data pipeline design.\n\n- Introduces a six-stage ETL design framework: source contract, extract strategy, transform rules, load & dedupe, validation, and operations & backfill.\n- Covers best practices for handling schema drift, partial loads, retries, and data reconciliation.\n- Includes detailed guidance for batch data loads, choosing extract modes, and ensuring idempotency and correctness.\n- Provides a comprehensive final review checklist and operational tips.\n- Clarifies when to use this workflow and considerations for deviations like near-real-time scenarios.","license":"MIT-0"},"metadata":null,"owner":{"handle":"mike47512","userId":"s17916ncgb6bpm0fs1wdm6932d83gha4","displayName":"mike47512","image":"https://avatars.githubusercontent.com/u/199718167?v=4"},"moderation":null}