Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when (SKILL.md metadata excerpt)
Comprehensive testing approaches for Temporal workflows using pytest, progressive disclosure resources for specific testing scenarios. (SKILL.md metadata excerpt)
Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance with TensorBoard - Google's ML visualization toolkit (SKILL.md metadata excerpt)
Terraform module creation for AWS — reusable modules, state management, and HCL best practices. Use when building or reviewing Terraform AWS infrastructure. (SKILL.md metadata excerpt)
Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) (Publisher-index excerpt; file read separately)
Terraform infrastructure as code workflow for provisioning cloud resources, creating reusable modules, and managing infrastructure at scale. (SKILL.md metadata excerpt)
Build reusable Terraform modules for AWS, Azure, GCP, and OCI infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud (SKILL.md metadata excerpt)
Use when writing, reviewing, or debugging Terraform/OpenTofu modules, tests, CI, scans, or state ops - diagnoses failure mode (identity churn, secrets, blast (SKILL.md metadata excerpt)