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)
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Comprehensive testing approaches for Temporal workflows using pytest, progressive disclosure resources for specific testing scenarios. (SKILL.md metadata excerpt)
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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)
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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)
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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)
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Terraform infrastructure as code workflow for provisioning cloud resources, creating reusable modules, and managing infrastructure at scale. (SKILL.md metadata excerpt)
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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)
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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)
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