Can it generate triggers for auditing data changes?

Yes, it can create complex triggers designed to log inserts, updates, and deletes to audit tables for data compliance.

Which database systems are supported by this skill?

The skill currently supports the generation of code for PostgreSQL, MySQL, and Microsoft SQL Server.

Is the generated SQL code safe to deploy immediately?

The skill follows best practices for transaction safety and logic; however, it is always recommended to review the generated code for your specific environment and security requirements before deployment.

How does using stored procedures improve database performance?

Stored procedures run directly on the database server, which reduces the number of network round trips between your application and the database, especially for complex operations.

Database Stored Procedure Generator

Name: Database Stored Procedure Generator
Author: BbgnsurfTech

byBbgnsurfTech

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Database Management

Generates production-grade stored procedures, functions, and triggers across major SQL databases to streamline complex backend logic and data integrity.

About

This skill empowers Claude to architect and write efficient, secure database logic for PostgreSQL, MySQL, and SQL Server. It automates the creation of stored procedures, triggers, and functions, allowing developers to enforce data integrity, optimize performance by reducing network overhead, and implement complex business rules directly within the database layer. By handling the syntax nuances of different SQL dialects, it accelerates backend development and ensures consistent implementation of transactional safety.

Key Features

Multi-database support for PostgreSQL, MySQL, and SQL Server
Database-level business logic implementation
Performance optimization via minimized network round-trips
Automated generation of production-ready triggers and functions
Transactional safety and data integrity enforcement
1 GitHub stars

Use Cases

Optimizing high-frequency database operations by moving logic from the app to the DB
Automating complex multi-table order processing workflows in PostgreSQL
Creating automated audit logs using triggers to track data changes for compliance

About

Key Features

Multi-database support for PostgreSQL, MySQL, and SQL Server
Database-level business logic implementation
Performance optimization via minimized network round-trips
Automated generation of production-ready triggers and functions
Transactional safety and data integrity enforcement
1 GitHub stars

Use Cases

Optimizing high-frequency database operations by moving logic from the app to the DB
Automating complex multi-table order processing workflows in PostgreSQL
Creating automated audit logs using triggers to track data changes for compliance