bdd-features

What problem does it solve?

Manually writing Gherkin feature files for Databricks workloads is time-consuming and often fails to align with Databricks-specific service behaviors, leading to invalid or ineffective acceptance tests.

Core Features & Use Cases

• Databricks-Specific Gherkin Generation: Creates valid Given/When/Then feature files tailored for Unity Catalog permissions, Lakeflow SDP pipelines, Databricks Apps, Jobs, and SQL data quality checks.
• Pre-Built Pattern Library: Includes reusable Gherkin patterns for common Databricks scenarios, including permission grants, pipeline lifecycle testing, and API endpoint validation.
• Best Practice Enforcement: Automatically applies Gherkin best practices like declarative step writing, strategic tagging, and avoids common Behave step matching pitfalls such as curly brace conflicts.
• Use Case Example: If you need to test that a group has SELECT access to a Unity Catalog table, this skill generates a complete, valid feature file with all required steps and assertions.

Quick Start

Use the bdd-features skill to generate a Gherkin feature file for testing SELECT permissions on a Unity Catalog table named 'customers'.