Skill UI

Provision and manage AWS cloud infrastructure using Terraform Infrastructure as Code (IaC). Create reusable modules, manage state files, and implement best practices for declarative resource deployment. Suitable for DevOps workflows requiring automated server, network, and storage setup.

Expert guidance for creating reusable Terraform modules for AWS, covering state management, HCL best practices, and production-grade patterns. Use for building or reviewing Terraform infrastructure.

Provision and manage Azure infrastructure with Terraform using the AzureRM provider, covering provider configuration, remote state, resource groups, VNets, AKS, Key Vault, examples, and production workflows.

Provision and manage Google Cloud Platform infrastructure using Terraform with the hashicorp/google provider. Define repeatable, auditable IaC for VPC, GKE, Cloud SQL, IAM, and multi-environment CI/CD deployments.

This skill provides production-ready Terraform module patterns for AWS, Azure, and GCP infrastructure. It helps build reusable infrastructure components, standardize cloud resource provisioning, and implement infrastructure as code best practices. Users can create multi-cloud compatible modules and establish organizational Terraform standards. Includes guidance on module structure, variables, outputs, and testing with Terratest.

Expert in Terraform and OpenTofu for Infrastructure as Code (IaC). Covers advanced module design, state management, multi-cloud deployments, and CI/CD automation. Ensures secure, scalable, and compliant enterprise infrastructure patterns through policy-as-code and GitOps workflows.

Master AI-powered test automation using modern frameworks like Playwright and Selenium. Implement self-healing tests, CI/CD integration, and quality engineering strategies. Covers TDD, performance testing, and cross-platform validation for scalable software delivery.

This skill provides a systematic, multi-step approach to identify and resolve all failing unit tests within a codebase. It guides the user through smart error grouping (e.g., grouping by ImportError or AttributeError), prioritizing fixes from infrastructure to business logic, and ensuring thorough verification to prevent regressions. Ideal for use after major refactoring, debugging CI/CD failures, or when explicitly tasked with making the test suite pass.

Migrates and converts test automation scripts between Selenium, Playwright, Puppeteer, and Cypress. Applies API mappings, lifecycle changes, and pattern conversions to port tests seamlessly.

This skill reviews generated or changed test code against universal testing rules before deployment. It prevents common failure modes like mock-heavy unit tests, near-duplicate test bodies, and tests that re-verify the framework. It enforces best practices such as testing behavior over implementation, justifying mocks at system boundaries, and ensuring every test has a clear justification. Use it when reviewing diffs, new test files, or when writing new tests to ensure high-quality, maintainable test suites.

Build end-to-end tests with TestDriver.ai, an AI code reviewer that runs every pull request in a real desktop sandbox, finds bugs, and creates regression tests for web, Electron, and native apps.

Jest testing patterns including factory functions, mocking strategies, TDD workflow, and best practices for component and data testing. Useful for writing unit tests, creating reusable test factories, and following red-green-refactor cycles.