Brokle Testing

关于

The Brokle Testing skill provides expert guidance for building robust, maintainable test suites specifically tailored for AI observability platforms. It centers on a pragmatic philosophy that emphasizes testing complex business logic, batch processing, and error handling while intentionally skipping low-value CRUD and framework-level tests. By leveraging standardized table-driven patterns, complete mock interface implementations, and clear coverage guidelines, this skill helps developers maintain a healthy test-to-code ratio and ensures critical system workflows are reliably validated.

主要功能

• Standardized table-driven test patterns for Go services
• High-value integration test templates for complex workflows
• Coverage targets and test-to-code ratio recommendations
• Pragmatic 'Business Logic First' testing philosophy and guidelines
• Comprehensive mock repository implementation and verification patterns
• 3 GitHub stars

使用场景

• Ensuring consistent error handling and retry logic across the platform
• Refactoring test suites to eliminate redundant CRUD validation
• Developing service-layer tests for complex AI metric aggregations