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Found 2 Skills
Design data systems by understanding storage engines, replication, partitioning, transactions, and consistency models. Use when the user mentions "database choice", "replication lag", "partitioning strategy", "consistency vs availability", or "stream processing". Covers data models, batch/stream processing, and distributed consensus. For system design, see system-design. For resilience, see release-it.
Design, implement, review, or repair database schemas, queries, indexes, transactions, migrations, and backfills with explicit integrity and rollout constraints. Use when the datastore behavior or data lifecycle is a primary part of the task. Do not use for routine persistence calls whose schema and consistency contracts are unchanged.