Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
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)
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:
rules/query-missing-indexes.md
rules/schema-partial-indexes.md
rules/_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)
Full Compiled Document
For the complete guide with all rules expanded: AGENTS.md
You Might Also Like
Related Skills

zig-system-calls
Guides using bun.sys for system calls and file I/O in Zig. Use when implementing file operations instead of std.fs or std.posix.
oven-sh
bun-file-io
Use this when you are working on file operations like reading, writing, scanning, or deleting files. It summarizes the preferred file APIs and patterns used in this repo. It also notes when to use filesystem helpers for directories.
anomalyco
vector-index-tuning
Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.
wshobson
similarity-search-patterns
Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.
wshobson
dbt-transformation-patterns
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
wshobson
event-store-design
Design and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns.
wshobson