Keboola Data App Developer FAQs

Name: Keboola Data App Developer
Author: keboola

Question 1

How does this skill utilize Keboola MCP?

Accepted Answer

It uses the Keboola MCP to inspect table schemas, verify exact column names, and test SQL queries against live data sources before any Python code is actually written.

Question 2

How is Playwright automation used in the workflow?

Accepted Answer

Playwright is used in the 'Verify' phase to automatically navigate the application, take screenshots of components, and test interactive elements like filters to ensure the UI behaves as expected.

Question 3

Does this skill handle differences between local and production environments?

Accepted Answer

Yes, it implements specific patterns for environment parity, handling credentials and data access consistently whether you are working in a local IDE or a Keboola production workspace.

Question 4

What is a SQL-first architecture in this context?

Accepted Answer

It refers to a design pattern where heavy data computation, aggregation, and filtering are performed at the database level rather than loading large datasets into Python memory, ensuring your Keboola apps remain fast and scalable.

Question 5

Can I use this for non-Keboola Streamlit apps?

Accepted Answer

While specifically optimized for Keboola's architecture and MCP tools, the Streamlit best practices, modular design patterns, and SQL-first principles are broadly applicable to any data application development.

Keboola Data App Developer

Keboola Data App Developer

Key Features

Use Cases

Key Features

Use Cases