Database Schema Documentation

The database-schema-documentation skill enables AI agents to read raw SQL or NoSQL schema definitions and generate clear, human-readable documentation. It automatically extracts table structures, column data types, constraints, and relationships to produce organized reference guides.

When to use it

• Onboarding new developers who need to understand complex backend architectures quickly.
• Generating API reference materials for frontend teams consuming database-driven services.
• Creating maintenance logs or changelogs when refactoring legacy database structures.
• Documenting internal tools where schema details are critical for troubleshooting data issues.

Key capabilities

• Parses raw SQL CREATE TABLE statements and NoSQL JSON schemas.
• Identifies foreign keys, primary keys, and unique constraints within the source code.
• Outputs formatted Markdown tables summarizing fields, types, and descriptions.
• Highlights relationships between different entities in the database.

Example prompts

• "Analyze this SQL file and generate a comprehensive documentation page for our user management module."
• "Read the attached JSON schema and create a table listing all data types and their constraints."
• "Convert this raw ERD definition into a clean Markdown document explaining how orders link to customers."

Tips & gotchas

Ensure the input source contains valid syntax; malformed SQL or incomplete schema definitions may result in missing relationship details. For best results, provide context about specific business rules if they aren't explicitly defined in the schema constraints.