| name | supabase-postgres-best-practices |
| description | Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations. |
| license | MIT |
| metadata | {"author":"supabase","version":"1.1.1","organization":"Supabase","abstract":"Comprehensive Postgres performance optimization guide for developers using Supabase and Postgres. Contains performance rules across 8 categories, prioritized by impact from critical (query performance, connection management) to incremental (advanced features). Each rule includes detailed explanations, incorrect vs. correct SQL examples, query plan analysis, and specific performance metrics to guide automated optimization and code generation."} |
Supabase Postgres Best Practices
Comprehensive performance optimization guide for Postgres, maintained by Supabase. Contains rules across 8 categories, prioritized by impact to guide automated query optimization and schema design.
When to Apply
Reference these guidelines when:
- Writing SQL queries or designing schemas
- Implementing indexes or query optimization
- Reviewing database performance issues
- Configuring connection pooling or scaling
- Optimizing for Postgres-specific features
- Working with Row-Level Security (RLS)
Quick Decision Tree
Problem?
├─ Slow query → query-missing-indexes, query-composite-indexes, monitor-explain-analyze
├─ Connection errors / timeouts → conn-pooling, conn-limits, conn-idle-timeout
├─ Deadlocks / long transactions → lock-short-transactions, lock-deadlock-prevention
├─ Bulk load slow → data-batch-inserts, data-upsert
├─ Table bloat / VACUUM issues → monitor-vacuum-analyze
├─ JSONB queries slow → advanced-jsonb-indexing
├─ FTS / search quality → advanced-full-text-search (pair with /postgres-semantic-search for BM25 + vector)
└─ Security / multi-tenant → security-* rules, RLS
Related Skills
/postgres-semantic-search — Vector search (pgvector), hybrid BM25 + semantic, ParadeDB/nextjs-chatbot — Chatbot orchestration, session DB, feedback, HITL/ai-sdk-6 — AI SDK v6 patterns for backend integration
Rule Categories by Priority
| Priority | Category | Impact | Prefix |
|---|
| 1 | Query Performance | CRITICAL | query- |
| 2 | Connection Management | CRITICAL | conn- |
| 3 | Security & RLS | CRITICAL | security- |
| 4 | Schema Design | HIGH | schema- |
| 5 | Concurrency & Locking | MEDIUM-HIGH | lock- |
| 6 | Data Access Patterns | MEDIUM | data- |
| 7 | Monitoring & Diagnostics | LOW-MEDIUM | monitor- |
| 8 | Advanced Features | LOW | advanced- |
How to Use
Read individual rule files for detailed explanations and SQL examples:
references/query-missing-indexes.md
references/query-partial-indexes.md
references/_sections.md
Each rule file contains:
- Brief explanation of why it matters
- Incorrect SQL example with explanation
- Correct SQL example with explanation
- Optional EXPLAIN output or metrics
- Additional context and references
- Supabase-specific notes (when applicable)
References
