Skill UI

This skill helps refine vague, raw ideas into sharp, actionable concepts. It guides users through structured divergent thinking (expanding options, generating variations) and convergent thinking (stress-testing assumptions, clustering directions). The process culminates in a detailed one-pager including Problem Statements, MVP Scope, and key assumptions to validate, ensuring focus and clarity before development.

This skill provides a comprehensive guide to using the Mockito package for advanced unit testing in Dart and Flutter. Learn how to correctly distinguish between real objects, fakes, and mocks. Master techniques for stubbing methods, verifying interactions, capturing arguments, and ensuring test isolation, leading to more reliable and maintainable tests.

Master the art of unit testing in Dart and Flutter using the Mocktail package. This guide details best practices for mocking dependencies, differentiating between mocks, fakes, and real objects, stubbing methods, verifying interactions, and handling complex argument matchers. Learn how to write robust, reliable, and maintainable tests that isolate the component under test.

Master advanced state management using Riverpod in Flutter and Dart. This guide covers setting up providers, defining different provider types (Future, Stream), utilizing reactive reading (ref.watch) and one-time access (ref.read), handling lifecycles, combining providers, and implementing proper testing strategies. Learn best practices for building scalable and maintainable Flutter applications.

This meta-skill set provides a structured framework covering the entire software development lifecycle (SDLC). It guides developers through every phase, from initial concept refinement and requirement specification to incremental implementation, testing, code review, and deployment. It enforces critical professional behaviors like surfacing assumptions, managing ambiguity, and maintaining scope discipline to ensure high-quality, robust engineering outcomes.

Enables structured cloud penetration testing across Azure, AWS, and GCP by guiding reconnaissance, authentication, enumeration, exploitation, and persistence workflows for authorized assessments.

Guides learners through reconnaissance, scanning, vulnerability analysis, exploitation, and reporting phases of authorized penetration testing, pairing command examples with tool choices and professional deliverables.

This comprehensive guide outlines best practices for writing high-quality, scalable, and maintainable code in .NET/C#. It covers core architectural principles, including SOLID, dependency injection, and design patterns (e.g., Command Handler). Furthermore, it addresses modern challenges such as structured logging, async/await patterns, secure coding, robust testing standards, and advanced AI integration using Semantic Kernel.

This comprehensive guide provides best practices for developing robust and efficient data access layers using Entity Framework Core. It covers critical areas including DbContext design, performance optimization (e.g., AsNoTracking, Select projection), secure querying techniques, migration strategies, and testing methodologies, ensuring the creation of scalable and maintainable applications.

This skill teaches users to apply the scientific method to software debugging. Instead of random changes, it guides the process through five steps: Observation, Hypothesizing, Prediction, Testing, and Analysis. By systematically forming and testing specific, measurable hypotheses, users can efficiently isolate failing components and confirm the true root cause of technical issues.

This guide provides comprehensive best practices for writing robust and effective unit tests using JUnit 5 in Java. It covers standard test structures (Arrange-Act-Assert), advanced data-driven testing using parameterized methods, best assertion practices (including AssertJ), and dependency isolation using mocking frameworks like Mockito. Ideal for developers aiming to improve code coverage and test reliability.

This comprehensive guide outlines established best practices for developing robust, scalable, and high-quality enterprise applications using Spring Boot and Java. It covers structuring projects, implementing dependency injection, designing RESTful APIs, managing transactions, securing endpoints, and utilizing advanced testing strategies (Unit, Integration). Ideal for developers aiming for industry-standard code quality.