Documentation Generation
Documentation is often neglected in data projects because it's time-consuming to write descriptions for every model and column. Teams frequently postpone documentation or conduct separate "documentation sprints" that take days to complete.
DinoAI Agent can automatically generate comprehensive documentation for entire folders of models, complete with column descriptions and appropriate tests.
Example Prompt
I have a bunch of new files in my Marts folder. Can you document this for me?

How It Works
After you enter your prompt:
DinoAI scans all models in the specified directory
It analyzes each model's structure, column names, and relationships
It generates schema.yml files with model descriptions, column descriptions, and tests
If configured, DinoAI follows your .dinorules documentation standards
Example Output
DinoAI will generate professional quality documentation (.yml files). See example below:
Key Benefits
Comprehensive Coverage: Generates documentation for all models at once
Consistency: Maintains a uniform documentation style across projects
Test Integration: Automatically adds appropriate tests based on data types and relationships
Time Savings: Turns days of documentation work into minutes
Adoption: Makes it easy to keep documentation up-to-date as models evolve
When to Use This
Before sharing models with stakeholders
When preparing for project handovers
During documentation clean-up efforts
After creating new models or making significant changes
When implementing testing strategies
Last updated
Was this helpful?