Skill UI

This comprehensive guide details how to build robust, production-grade NoSQL microservices using Python and Azure Cosmos DB. It emphasizes following architectural best practices, including the Service Layer pattern, TDD principles, secure authentication (DefaultAzureCredential), and implementing graceful degradation, making it ideal for developing enterprise-level backend systems.

This guide provides comprehensive patterns and best practices for writing robust unit tests for shell scripts using Bats (Bash Automated Testing System). It is ideal for developers implementing Test-Driven Development (TDD) for shell utilities, setting up robust automated testing in CI/CD pipelines, and validating edge cases and error conditions in shell environments.

This skill provides comprehensive guidelines based on Clean Code principles, transforming merely functional code into highly readable, maintainable, and robust software. It covers best practices for naming conventions, function design (small, single responsibility), error handling (exceptions over return codes), formatting, and adhering to Test-Driven Development (TDD). Use this skill when writing new features, reviewing pull requests, or refactoring legacy systems to improve overall code quality.

This skill guides the execution of development tasks defined in a structured implementation plan, strictly following the Test-Driven Development (TDD) workflow. It manages the entire development lifecycle, including pre-flight checks, context loading, task identification, writing failing tests, implementing minimal code, refactoring, committing changes, and performing phase-wise verification. Ideal for managing complex, structured software development projects.

A comprehensive, end-to-end workflow bundle guiding developers through the entire software development lifecycle. It covers project scaffolding, frontend development (React/Next.js), robust backend architecture, database design, rigorous testing (TDD, E2E), code quality review, and modern CI/CD deployment practices for web and mobile applications.

Provides Django testing strategies combining pytest-django, factory_boy, DRF helpers, mocking, and coverage so teams can adopt TDD workflows for models, views, serializers, and APIs.

Documented Go testing workflow covering TDD, table-driven cases, subtests, helpers, mocking, and HTTP handler verification so teams can ensure robust unit and integration coverage for their Go services.

This comprehensive guide provides patterns and best practices for implementing robust testing strategies in modern JavaScript and TypeScript applications. It covers setting up test infrastructure, writing unit tests for functions and classes, creating integration tests for APIs, and implementing end-to-end tests for user flows, supporting TDD and CI/CD integration.

This elite workflow simulates the comprehensive process of a Senior Software Engineer and Product Designer. It enforces a rigorous development pipeline: starting with planning, solid architecture, and TDD implementation, through clean code practices, and technical auditing. Crucially, it includes mandatory, pixel-perfect UX visual validation to ensure the output is flawless, consistent, and production-grade.

This advanced workflow emulates an elite Senior Software Engineer and Senior Product Designer, ensuring maximum quality output. It enforces a rigorous, multi-step process including ultra-fast planning, solid architecture design, TDD implementation, clean code refactoring, technical auditing, and crucially, mandatory pixel-perfect UI/UX validation. Use this for complex projects demanding both robust code and flawless visual presentation.

This skill automates the entire software development process overnight. By leveraging mandatory Git hooks, it strictly enforces Test-Driven Development (TDD). Use this when complex features need building, large codebases need refactoring, or bugs need fixing autonomously, guaranteeing that every commit passes rigorous testing cycles and meets high production-ready standards.

Provides a comprehensive pytest-focused testing strategy for Python applications, covering TDD cycles, fixtures, parametrization, coverage tools, and test infrastructure setup for reliable suites.