testing-data

What problem does it solve?

Manage and validate HILDA test data requirements. Use when users need to check test data completeness, set up missing datasets, understand data requirements for different test categories, or troubleshoot test failures due to missing data. Also triggered when users mention test data, dataset setup, or Phase 0 requirements.

Core Features & Use Cases

• Data validation: verify completeness and integrity of test datasets (Isabela, Mavic 2 Pro, Matrice 4E, orthomosaics, annotations, models).
• Dataset setup & troubleshooting: guide users to create or fix missing data, reproduce end-to-end test scenarios, and ensure production-like readiness.
• Test-data maintenance: provide steps for validation, updates, and consistency checks across datasets and models.
• Example: A QA engineer runs the test-data management skill to ensure Isabela and Mavic datasets are ready before integration tests.

Quick Start

Use this skill to validate and set up missing HILDA test data for end-to-end pipeline testing.