postgres-patterns
Helps your agent optimize PostgreSQL databases. It understands table design, indexes, and security for fast queries.
What it does
This agent helps you create and optimize PostgreSQL databases. It offers suggestions on how to organize your data, create efficient indexes, and ensure security.
When to use it
- ✓When designing your database structure.
- ✓When a database query is too slow.
- ✓When setting up data access permissions.
Example of what to ask your AI
“How can I create an index to speed up date searches in an events table?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
It acts as a quick reference, showing code examples and best practices. You can consult reference tables to choose the best data types and indexes for your needs.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add affaan-m/ECC --skill postgres-patternsOr download just the file:
curl -L https://raw.githubusercontent.com/affaan-m/ECC/main/pi/core/skills/postgres-patterns/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
PostgreSQL Patterns
Quick reference for PostgreSQL best practices. For detailed guidance, use the database-reviewer agent.
When to Activate
- Writing SQL queries or migrations
- Designing database schemas
- Troubleshooting slow queries
- Implementing Row Level Security
- Setting up connection pooling
Quick Reference
Index Cheat Sheet
| Query Pattern | Index Type | Example |
|---|---|---|
WHERE col = value |
B-tree (default) | CREATE INDEX idx ON t (col) |
WHERE col > value |
B-tree | CREATE INDEX idx ON t (col) |
WHERE a = x AND b > y |
Composite | CREATE INDEX idx ON t (a, b) |
WHERE jsonb @> '{}' |
GIN | CREATE INDEX idx ON t USING gin (col) |
WHERE tsv @@ query |
GIN | CREATE INDEX idx ON t USING gin (col) |
| Time-series ranges | BRIN | CREATE INDEX idx ON t USING brin (col) |
Data Type Quick Reference
| Use Case | Correct Type | Avoid |
|---|---|---|
| IDs | bigint |
int, random UUID |
| Strings | text |
varchar(255) |
| Timestamps | timestamptz |
timestamp |
| Money | numeric(10,2) |
float |
| Flags | boolean |
varchar, int |
Common Patterns
Composite Index Order:
-- Equality columns first, then range columns
CREATE INDEX idx ON orders (status, created_at);
-- Works for: WHERE status = 'pending' AND created_at > '2024-01-01'
Covering Index:
CREATE INDEX idx ON users (email) INCLUDE (name, created_at);
-- Avoids table lookup for SELECT email, name, created_at
Partial Index:
CREATE INDEX idx ON users (email) WHERE deleted_at IS NULL;
-- Smaller index, only includes active users
RLS Policy (Optimized):
CREATE POLICY policy ON orders
USING ((SELECT auth.uid()) = user_id); -- Wrap in SELECT!
UPSERT:
INSERT INTO settings (user_id, key, value)
VALUES (123, 'theme', 'dark')
ON CONFLICT (user_id, key)
DO UPDATE SET value = EXCLUDED.value;
Cursor Pagination:
SELECT * FROM products WHERE id > $last_id ORDER BY id LIMIT 20;
-- O(1) vs OFFSET which is O(n)
Queue Processing:
UPDATE jobs SET status = 'processing'
WHERE id = (
SELECT id FROM jobs WHERE status = 'pending'
ORDER BY created_at LIMIT 1
FOR UPDATE SKIP LOCKED
) RETURNING *;
Anti-Pattern Detection
-- Find unindexed foreign keys
SELECT conrelid::regclass, a.attname
FROM pg_constraint c
JOIN pg_attribute a ON a.attrelid = c.conrelid AND a.attnum = ANY(c.conkey)
WHERE c.contype = 'f'
AND NOT EXISTS (
SELECT 1 FROM pg_index i
WHERE i.indrelid = c.conrelid AND a.attnum = ANY(i.indkey)
);
-- Find slow queries
SELECT query, mean_exec_time, calls
FROM pg_stat_statements
WHERE mean_exec_time > 100
ORDER BY mean_exec_time DESC;
-- Check table bloat
SELECT relname, n_dead_tup, last_vacuum
FROM pg_stat_user_tables
WHERE n_dead_tup > 1000
ORDER BY n_dead_tup DESC;
Configuration Template
-- Connection limits (adjust for RAM)
ALTER SYSTEM SET max_connections = 100;
ALTER SYSTEM SET work_mem = '8MB';
-- Timeouts
ALTER SYSTEM SET idle_in_transaction_session_timeout = '30s';
ALTER SYSTEM SET statement_timeout = '30s';
-- Monitoring
CREATE EXTENSION IF NOT EXISTS pg_stat_statements;
-- Security defaults
REVOKE ALL ON SCHEMA public FROM public;
SELECT pg_reload_conf();
Related
- Agent:
database-reviewer- Full database review workflow - Skill:
clickhouse-io- ClickHouse analytics patterns - Skill:
backend-patterns- API and backend patterns
Based on Supabase Agent Skills (credit: Supabase team) (MIT License)
FAQ
What is an index?
An index is like a book's index; it helps the database find information faster without reading everything.
What's the difference between `text` and `varchar`?
For long strings, `text` is generally more efficient in PostgreSQL. `varchar(255)` is often an unnecessary limitation.
What is RLS?
RLS stands for Row Level Security. It allows you to define who can see or modify which data directly within the database.
Details
Original description by the author
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices. Use when designing PostgreSQL schemas, indexes, or RLS policies, or when a query is too slow.
repo: affaan-m/ECC
Popularity
- GitHub stars
- 280k
- Ranking position
- #98
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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