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postgresql

Guide PostgreSQL operations covering SQL syntax, JSON support, full-text search, and performance tuning.

610|93|Updated Jan 16, 2026
Search Tags:#query optimization#database#postgresql#json#sql#performance tuning
One-click install
npx skills add https://github.com/partme-ai/full-stack-skills --skill postgresql-partme-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: postgresql
Source: https://github.com/partme-ai/full-stack-skills/tree/main/skills/postgresql
Command: npx skills add https://github.com/partme-ai/full-stack-skills --skill postgresql-partme-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive guidance and operational support for PostgreSQL databases, enabling users to effectively manage, query, and optimize their data.

Core Features & Use Cases

  • SQL Syntax and Advanced Features: Learn and apply complex SQL queries, including window functions and CTEs.
  • JSON Support: Work with JSON data types, including querying and indexing.
  • Full-Text Search: Implement and optimize full-text search capabilities.
  • Performance Tuning: Get advice on indexing, query optimization, and configuration.
  • Use Case: A user needs to write a complex query to find all customers who have placed orders in the last month and whose total order value exceeds $500, using JSON data for product details.

Quick Start

Use the postgresql skill to generate a SQL query for finding all users who registered in the last 7 days.

Frequently Asked Questions about postgresql

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize PostgreSQL query performance for slow database operations?▼

To optimize PostgreSQL query performance, apply indexing strategies and query tuning configurations. This Skill provides specific guidance on constructing efficient SQL queries and adjusting database configurations to resolve slow operational bottlenecks.

What is the best way to query JSON data in PostgreSQL?▼

Querying JSON data in PostgreSQL involves using specific JSON data types and indexing methods. You can construct complex SQL queries to extract product details from JSON fields while filtering based on associated relational columns.

How do I implement full-text search in a PostgreSQL database?▼

Implementing full-text search in a PostgreSQL database requires applying specific search functions and optimization techniques. This Skill provides guidance on setting up and tuning search capabilities directly within your SQL queries.

How do I write complex SQL queries using CTEs and window functions in PostgreSQL?▼

Writing complex SQL queries with CTEs and window functions in PostgreSQL allows for advanced data aggregation across related tables. You can construct these queries to analyze customer order values and registration dates effectively.

Does PostgreSQL performance tuning require specific database configurations for high-value queries?▼

PostgreSQL performance tuning for high-value queries requires adjusting database configurations and applying proper indexing. This approach ensures efficient execution when filtering complex datasets, such as finding recent orders exceeding specific thresholds.

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