PostgreSQL Skill
The world's most advanced open source relational database.
Ecosystem Graph Preview
graph LR
postgresql["postgresql"]:::core
classDef core fill:#f9f,stroke:#333,stroke-width:4px;
drizzle -- "integrates with" --> postgresql
mysql -- "alternative to" --> postgresql
postgresql -- "extended by" --> neon
postgresql -- "integrates with" --> prisma
postgresql -- "integrates with" --> drizzle
postgresql -- "alternative to" --> mysql
prisma -- "integrates with" --> postgresql
Recommended Next Skills
- mysql (Score: 0.93) Why: Direct relationship, Both are Databases, Shared ecosystem (database), Can deploy to aws, Similar network profile
- drizzle (Score: 0.74) Why: Direct relationship, Both are Databases, Similar network profile
- prisma (Score: 0.73) Why: Direct relationship, Both are Databases, Similar network profile
Quick Start
PostgreSQL is the gold standard for relational data. It supports advanced JSONB querying, vector similarity (pgvector), and complex window functions.
docker run -d -p 5432:5432 -e POSTGRES_PASSWORD=secret postgres:16
Production Patterns
Connection Pooling
Postgres spawns a new OS process per connection (unlike MySQL's threads). In serverless environments, this quickly exhausts memory. You MUST use a connection pooler like PgBouncer or a managed serverless Postgres like Neon/Supabase to multiplex connections.
Architecture & Scaling
JSONB vs Relational
Use JSONB for unstructured metadata (like user preferences), but do not store core domain entities in JSONB. You lose foreign key constraints and standard indexing performance.
Error Recovery
If transactions frequently deadlock, ensure all your application transactions acquire locks in the exact same deterministic order, and keep transactions as short as possible.
Security Notes
Never connect as the postgres superuser from your application. Create a dedicated application user with strictly limited schema access (GRANT SELECT, INSERT ON ALL TABLES...).
References
Why use this skill
Use this when your agent works with postgresql — structured patterns beat pasted docs and prevent common hallucinations.
AI pitfalls
- Inventing column names or schema fields
- Using deprecated driver methods or wrong connection strings
- Omitting connection pooling or transaction boundaries
Production checklist
- Migrations version-controlled and applied via CI
- Connection limits and pooling configured
- Backups and restore procedure documented
Related skills
Last Verified: 2026-07-02