Can I use this on a production database?

While possible, the skill's instructions recommend assessing and implementing changes in a non-production environment first to ensure stability and performance.

Which database systems are supported by this skill?

This skill supports PostgreSQL, MySQL, and MongoDB via their respective CLI tools (psql, mysql, and mongosh).

Does it require specific permissions?

Yes, you must ensure Claude has the required credentials and read/write permissions for the specific database operations you intend to document.

What kind of output does the documentation generator produce?

It produces implementation scripts, comprehensive architecture documentation, validation test results, and operational runbooks.

Database Documentation Generator

Name: Database Documentation Generator
Author: BbgnsurfTech

byBbgnsurfTech

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Database Management

Automatically generates comprehensive database schema documentation, architecture guides, and operational runbooks using SQL and NoSQL CLI tools.

About

The Database Documentation Generator skill streamlines the creation and maintenance of technical documentation for complex database systems. By leveraging native CLI tools for PostgreSQL, MySQL, and MongoDB, this skill can assess current schemas, identify dependencies, and produce high-quality artifacts like data dictionaries and ER diagrams. It follows a structured 5-step implementation process to ensure that all documentation is accurate, tested, and aligned with best practices, making it an essential tool for teams managing evolving data architectures.

Key Features

Dependency and integration point analysis
Built-in error handling for permission and connectivity issues
Automated schema extraction for SQL and NoSQL databases
Generation of operational runbooks and troubleshooting guides
1 GitHub stars
Support for PostgreSQL, MySQL, and MongoDB environments

Use Cases

Generating automated data dictionaries during CI/CD workflows
Documenting a legacy database schema for developer onboarding
Creating disaster recovery runbooks and maintenance procedures

About

Key Features

Dependency and integration point analysis
Built-in error handling for permission and connectivity issues
Automated schema extraction for SQL and NoSQL databases
Generation of operational runbooks and troubleshooting guides
1 GitHub stars
Support for PostgreSQL, MySQL, and MongoDB environments

Use Cases

Generating automated data dictionaries during CI/CD workflows
Documenting a legacy database schema for developer onboarding
Creating disaster recovery runbooks and maintenance procedures