← ClaudeAtlas

database-designlisted

Designs or reviews relational, document, key-value, graph, or search data models with ownership, invariants, access paths, migrations, consistency, retention, privacy, and recovery behavior. Use for schema changes, new data stores, indexes, migrations, persistence boundaries, or query-driven design. Not for a query-only bug without a model change or for API contract design.
thiientv/godmode · ★ 95 · AI & Automation · score 79
Install: claude install-skill thiientv/godmode
# Database Design Start from invariants and access patterns; a schema is an operational contract. ## Design sequence 1. Identify entities, ownership, lifecycle, source of truth, cardinality, and deletion/retention rules. 2. Write invariants and transaction boundaries before choosing tables or collections. 3. Map real reads, writes, filters, sorts, joins, uniqueness, and expected scale. Add indexes for measured access paths, not guesses. 4. Decide consistency, isolation, idempotency, concurrency, and failure recovery at each boundary. 5. Design an expand-migrate-contract migration: backward-compatible expand, backfill/dual-write when needed, cutover, verification, and cleanup. 6. Protect sensitive data with least privilege, encryption, minimization, auditability, and retention limits. Read [schema-checklist.md](references/schema-checklist.md). Include rollback, backup/restore, lock duration, online migration behavior, and observability in the plan. Treat production data as irreplaceable unless a tested recovery path proves otherwise. ## Evidence Use representative query plans, migration rehearsal on a safe fixture, invariant tests, concurrency checks, and restore evidence. A migration that applies once is not proven safe to roll forward, retry, or roll back. ## Completion condition The model's invariants, access paths, migration lifecycle, privacy boundary, recovery path, and proof commands are explicit.