sql-pro

Analyze and optimize SQL queries and schemas across PostgreSQL, MySQL, SQL Server, and Oracle.

8|11|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/belokonm/claude-supercode-skills --skill sql-pro-belokonm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sql-pro
Source: https://github.com/belokonm/claude-supercode-skills/tree/main/sql-pro-skill
Command: npx skills add https://github.com/belokonm/claude-supercode-skills --skill sql-pro-belokonm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Write robust, high-performance SQL across PostgreSQL, MySQL, SQL Server, and Oracle by combining design, optimization, and cross-platform patterns to reduce latency and improve maintainability.

Core Features & Use Cases

  • Schema analysis and normalization guidance for scalable databases.
  • Query optimization, indexing strategies, and execution plan interpretation.
  • Cross-platform migrations and compatibility checks for ANSI SQL benchmarks.
  • Real-world use: optimize a slow join-heavy query on Postgres or migrate a schema between DBs.

Quick Start

Analyze a slow query and generate an optimization plan for PostgreSQL.

Frequently Asked Questions about sql-pro

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

FAQPage Schema
How do I optimize slow SQL queries and analyze execution plans for PostgreSQL?

Optimize slow SQL queries by analyzing execution plans, applying indexing strategies, and enforcing platform-specific best practices for PostgreSQL to reduce latency and improve maintainability in production environments.

What is the best way to migrate a database schema across MySQL and SQL Server?

Migrate database schemas across MySQL, SQL Server, Oracle, and PostgreSQL by running cross-platform compatibility checks against ANSI SQL benchmarks to ensure data integrity and validate structural equivalence.

Does this approach support schema design and normalization for high-performance databases?

Schema design and normalization guidance supports scalable databases by analyzing existing architectures and enforcing best practices to improve data integrity and query performance across multiple database platforms.

How do I interpret execution plans and apply indexing strategies for complex query optimization?

Interpret execution plans and apply indexing strategies for complex query optimization by rigorously validating data integrity, reducing latency on join-heavy queries, and enforcing cross-platform best practices.

Can I use this for performance tuning on Oracle and SQL Server in production environments?

Performance tuning applies to Oracle, SQL Server, PostgreSQL, and MySQL in production environments by interpreting execution plans, validating indexing strategies, and enforcing platform-specific optimizations for complex query design.