Skill UI

Expert guide for building durable distributed systems with the Temporal Go SDK, covering deterministic workflow rules, mTLS worker configuration, advanced patterns, and testing/observability strategies for production workloads.

Master Temporal workflow orchestration using the Python SDK. Covers durable workflows, saga patterns, and distributed transactions. Includes guidance on async/await execution models, worker configuration, activity implementation, error handling, retry policies, and production deployment strategies. Ideal for building reliable, scalable distributed systems with long-running processes and deterministic coding practices.

This skill provides comprehensive testing approaches for Temporal workflows using pytest. It covers unit testing with time-skipping, integration testing with mocked activities, replay testing for determinism, and local development setup. It helps achieve high test coverage and fast feedback loops for Python-based Temporal applications.

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.

A comprehensive, multi-phase workflow designed for Infrastructure as Code (IaC) using Terraform. It guides users through provisioning cloud resources, creating reusable modules, managing complex state, handling multi-environment deployments, and integrating robust CI/CD pipelines and security practices. Ideal for establishing scalable, repeatable, and auditable cloud infrastructure.

Generate production-ready Terraform modules for AWS, Azure, and GCP. Standardize cloud resource provisioning, implement infrastructure as code best practices, and ensure multi-cloud compatibility for scalable infrastructure management.

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. This skill covers self-healing tests, CI/CD integration, and quality engineering strategies. Learn TDD, performance testing, and low-code platforms to build scalable testing ecosystems. Optimize test execution with predictive analytics and intelligent data management for high-quality 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.