pg-aiguide

🥇Gold

pg-aiguide is a powerful MCP server and Claude plugin designed to enhance PostgreSQL coding. It provides comprehensive documentation and tools to help AI coding tools generate optimized PostgreSQL code efficiently.

1,562770Updated Today

Intermediate15 minutes to implementdevelopment

Saves ~45 min per use

Quick InstallView Source

claude install timescale/pg-aiguide

Works with:

Claude

Overview

About This Skill

https://mcp.tigerdata.com/docs

Use Cases

Generate optimized PostgreSQL queries that follow best practices.

Automate the generation of complex database schemas tailored to specific applications.

Provide comprehensive documentation on PostgreSQL features and best practices.

Assist developers in debugging and refining PostgreSQL code for better performance.

Best For

GrowthRevOps

Setup & Installation

Quick Install

Terminal

claude install timescale/pg-aiguide

Alternative Install (Git Clone)

git clone https://github.com/timescale/pg-aiguide

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Help me generate optimized PostgreSQL code for [COMPANY]'s [INDUSTRY] database. I need to [DATA] and ensure it is efficient and follows best practices.

Example Output

### Optimized PostgreSQL Code for [COMPANY]

```sql
-- This query retrieves the top 10 customers by total spend
SELECT customer_id, SUM(order_total) AS total_spend
FROM orders
WHERE order_date >= '2023-01-01'
GROUP BY customer_id
ORDER BY total_spend DESC
LIMIT 10;
```

#### Explanation:
- **Purpose**: To identify the top customers based on their spending in 2023.
- **Efficiency**: The query uses `GROUP BY` and `ORDER BY` to ensure minimal processing time.
- **Best Practices**: Proper indexing on `customer_id` and `order_date` is recommended to enhance performance.