Is it safe for production database environments?

The skill enforces a safety-first workflow including mandatory backups, non-production testing, and the creation of rollback procedures before any production deployment.

Can I use this to update existing procedures?

Absolutely. The skill includes tools to read, grep, and edit existing code, allowing you to refactor or enhance current database functions.

Does this skill help with database performance?

Yes, it includes a validation step that compares performance metrics against baselines and optimizes queries to prevent resource constraints.

What databases are supported by the Stored Procedure Generator?

The skill can generate stored procedures for various SQL-based databases by analyzing your specific architecture and requirements during the initial assessment phase.

Stored Procedure Generator

Name: Stored Procedure Generator
Author: BbgnsurfTech

byBbgnsurfTech

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Database Management

Automates the creation of optimized, production-ready SQL stored procedures and database functions with built-in best practices.

About

The Stored Procedure Generator skill empowers Claude to architect and implement complex database logic through automated code generation and a structured deployment workflow. It guides users through a comprehensive process—from initial requirement assessment and risk mitigation to implementation and performance validation—ensuring that generated SQL procedures are secure, efficient, and fully documented. This skill is ideal for database administrators and backend developers who need to standardize database logic across environments while maintaining high performance, observability, and clear operational runbooks.

Key Features

Built-in error handling for permissions, network, and resource constraints
3 GitHub stars
Automated SQL stored procedure and database function generation
Comprehensive generation of documentation, test results, and runbooks
Structured 5-step implementation workflow from assessment to deployment
Integrated monitoring and observability configuration for database logic

Use Cases

Standardizing CRUD operations and data validation functions across a new database schema
Automating the creation of database maintenance scripts and background tasks with full audit trails
Migrating complex business logic from application layers into high-performance database procedures

About

Key Features

Built-in error handling for permissions, network, and resource constraints
3 GitHub stars
Automated SQL stored procedure and database function generation
Comprehensive generation of documentation, test results, and runbooks
Structured 5-step implementation workflow from assessment to deployment
Integrated monitoring and observability configuration for database logic

Use Cases

Standardizing CRUD operations and data validation functions across a new database schema
Automating the creation of database maintenance scripts and background tasks with full audit trails
Migrating complex business logic from application layers into high-performance database procedures