Optimizes PostgreSQL 17/18+ performance across I/O, query execution, indexing, and maintenance. Covers the native AIO subsystem introduced in PostgreSQL 18 for throughput gains on modern storage, forensic query plan analysis with EXPLAIN BUFFERS (auto-included in PG18), B-tree skip scans for composite indexes, native UUIDv7 generation, and autovacuum tuning for high-churn tables.
When to use: Diagnosing slow queries, configuring async I/O, tuning sharedbuffers and workmem, optimizing indexes for write-heavy workloads, managing table bloat, pgvector HNSW tuning.
When NOT to use: Schema design (use a data modeling tool), application-level caching strategy, database selection decisions, ORM query generation.
PostgreSQL 17/18+ performance tuning and optimization. Covers async I/O configuration, query plan forensics, index strategies, autovacuum tuning, vector search optimization, connection pooling, declarative partitioning, and practical query patterns. Use when diagnosing slow queries, configuring async I/O, tuning autovacuum, optimizing vector indexes, analyzing execution plans with EXPLAIN BUFFERS, configuring PgBouncer or connection pooling, setting up table partitioning, implementing cursor pagination, or optimizing queue processing. Source: oakoss/agent-skills.