Postgresql Optimization

🏢Official
by github · vlatest · Repository

Official github skill covering PostgreSQL, optimization for working with databases and data persistence.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add postgresql-optimization npx -- -y @trustedskills/postgresql-optimization
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "postgresql-optimization": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/postgresql-optimization"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill helps optimize PostgreSQL databases by analyzing query performance, suggesting index improvements, and identifying inefficient queries. It provides actionable recommendations to enhance database speed and reduce resource usage.

When to use it

  • When slow query performance is affecting application responsiveness
  • Before deploying a new PostgreSQL-based application to ensure optimal setup
  • After noticing high CPU or memory usage from the database server

Key capabilities

  • Analyzes query execution plans
  • Recommends index creation for frequently queried columns
  • Identifies and suggests fixes for poorly written SQL queries
  • Provides insights into table statistics and vacuuming needs

Example prompts

  • "Analyze this slow PostgreSQL query: SELECT * FROM orders WHERE customer_id = 123"
  • "Suggest index improvements for the 'users' table in my PostgreSQL database"
  • "Review the performance of my PostgreSQL database and provide optimization recommendations"

Tips & gotchas

  • Ensure you have access to PostgreSQL logs or EXPLAIN output for accurate analysis.
  • Some optimizations may require schema changes, so test them in a staging environment first.

Tags

🛡️

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Details

Version
vlatest
License
Author
github
Installs
4.2k

🏢 Official

Published by the company or team that built the technology.