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Audits database data quality (nulls, duplicates, orphans, invalid ranges) and produces a short findings report with remediation queries. Use when debugging data issues, validating migrations, or verifying analytics correctness.

Diagnoses and fixes slow database queries using explain plans, statistics, and targeted indexes or rewrites. Use when an endpoint is slow, a query regresses, cpu spikes, or timeouts appear.

Inspects database schema and metadata (tables, columns, indexes, constraints, relationships). Use when exploring an unfamiliar database, writing joins, debugging query behavior, or documenting schema.

Plans and executes safe database migrations with low-downtime patterns, verification, and rollback. Use when changing schema, backfilling data, adding constraints, or creating indexes in production.

Retrieves up-to-date documentation for any third-party library, framework, or API where training data may be outdated or incomplete. Use when the user asks about library usage, API references, configuration, or code generation involving specific packages. Prefer over training data when accuracy or recency matters.