claude

database-engineering

Database-engineering team — agents (schema-architect, query-performance-engineer, migration-engineer, db-reliability-engineer) for the OPERATIONAL/transactional data layer (OLTP): relational schema design and normalization (and when to denormalize), indexing strategy and query/EXPLAIN-plan tuning, safe zero-downtime schema migrations (expand/contract), and connection-pooling, transactions/isolation, replication, and backup/restore reliability. Postgres-leaning, principles portable to MySQL/SQL Server; NoSQL access-pattern guidance where it fits. skills, a decision-tree knowledge bank (index-choice + migration-safety trees + a dated 2026 capability map), best-practices, templates, commands, an advisory hook. Distinct from data-platform (analytics/ELT/warehouse) and analytics-engineering (dbt). Seams: ELT/warehouse -> data-platform, ORM/app data-access -> backend-engineering, managed DB infra -> cloud plugins. Requires ravenclaude-core@>=0.7.0.

9 on GitHubby Matt Corbettv0.3.9MITupdated today
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Plugin database-engineering from marketplace ravenclaude in mcorbett51090/RavenClaude. Commands read from the repo's manifest — today.

This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.

What it installs

Skills (5)

  • connection-pool-tuning

    Playbook for sizing and configuring a database connection pool (PgBouncer or application-level) — calculating the right pool size, choosing the pooling mode, diagnosing pool exhaustion, and avoiding the common over-provisioning trap.

  • db-reliability

    Operate the database reliably: pool connections with sane limits, choose the isolation level deliberately (knowing its anomalies), keep transactions short, route replica reads carefully, and test restores — a backup is only real if you've restored it.

  • query-and-index-tuning

    Tune queries with evidence: read EXPLAIN (ANALYZE, BUFFERS) first, choose the right index type and column order (B-tree/partial/composite/covering/GIN), rewrite to be sargable, kill N+1 at the SQL level, and keep statistics fresh.

  • relational-schema-design

    Design a correct relational schema: normalize to 3NF, denormalize only with measured evidence and a named consistency cost, push constraints (PK/FK/UNIQUE/CHECK/NOT NULL) into the database, and choose precise data types.

  • safe-schema-migrations

    Evolve schemas without downtime: expand/contract (add -> backfill in batches -> switch -> drop) across separate deploys, lock-aware DDL (create indexes CONCURRENTLY, nullable-add-then-validate), reversibility, and ordered versioned migrations.

Slash commands (4)

  • /database-engineering:design-schema

    Design a normalized relational schema with full constraints and precise types; denormalize only with a named cost.

  • /database-engineering:plan-migration

    Plan a safe, reversible, lock-aware schema migration with expand/contract and batched backfill, sequenced across deploys.

  • /database-engineering:review-db-reliability

    Review operational reliability: pooling, isolation, replication, backup/restore, vacuum/bloat, and observability.

  • /database-engineering:tune-query

    Tune a slow query from its EXPLAIN plan: name the bottleneck, choose the right index or a sargable rewrite.

Subagents (4)

  • db-reliability-engineer

    Use for database reliability: connection pooling, transaction/isolation-level choice with its anomalies, short-transaction discipline, replication and read-replica routing, tested backup/restore + PITR, failover/HA, vacuum/bloat management, and database observability.

  • migration-engineer

    Use for safe schema evolution: expand/contract (parallel-change) migrations, zero-downtime ALTERs, lock-aware DDL (concurrent index creation, nullable-add-then-validate), batched backfills, reversibility, and ordered/versioned migration tooling.

  • query-performance-engineer

    Use for query and index performance: reading EXPLAIN/ANALYZE plans, choosing the right index type and column order (B-tree/partial/composite/covering/GIN), sargable rewrites, killing N+1 at the SQL level, keeping statistics fresh, and partitioning. Routes ORM query issues and the schema model out.

  • schema-architect

    Use for relational schema design: normalization to 3NF and deliberate, cost-named denormalization, keys and constraints (PK/FK/UNIQUE/CHECK/NOT NULL), precise data types (uuid/enum/jsonb where they fit), and honest relationship modeling. Postgres-leaning, portable principles.

Hooks (1)

  • PreToolUse

    /usr/bin/env -u BASH_ENV -u ENV -u SHELLOPTS -u BASHOPTS -u LD_PRELOAD -u LD_LIBRARY_PATH -u LD_AUDIT -u DYLD_INSERT_LIBRARIES -u DYLD_LIBRARY_PATH -u PYTHONPATH -u PYTHONSTARTUP PATH=/usr/local/bin:/

Language servers (1)

  • sqls
View source on GitHub mcorbett51090.github.io

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