Skill UI

Auto-activated guidance for flaky test detection within automated testing workflows, covering best practices, mocking, and configuration to stabilize unit and integration suites.

This expert guides the development of high-performance, cross-platform mobile applications using Flutter 3+ and Dart. It covers best practices for state management (Riverpod, Bloc), UI widget creation, navigation (GoRouter), performance optimization, and thorough testing (unit/widget tests).

This expert specializes in scaffolding complete, production-ready, accessible, and performant React and React Native components. It generates full boilerplate code including TypeScript definitions, unit tests, styles (CSS Modules, Styled-Components, Tailwind), and accessibility hooks, ensuring adherence to modern best practices for scalable frontend architecture.

This skill guides the full lifecycle of game development, from architecture design (ECS, component systems) to high-performance implementation. It covers integrating Unity/Unreal Engine features, implementing complex physics, multiplayer networking with lag compensation, and achieving consistent 60+ FPS performance. Key techniques include object pooling, state machines, and rigorous profiling to ensure production-ready, scalable game systems.

This guide details how to configure Continuous Integration/Continuous Deployment (CI/CD) pipelines for Gamma-powered applications using GitHub Actions. It covers setting up automated unit testing, running specialized Gamma API integration tests, and ensuring the application quality throughout the build process. Ideal for developers setting up robust, automated testing workflows.

Automatically produce mocks, stubs, spies, or fakes for unit tests by analyzing dependencies and using frameworks like Jest or Sinon, so you can isolate modules quickly without hand-writing boilerplate doubles.

Automatically analyzes source files, detects or honors the requested testing framework, and produces comprehensive unit tests with mocks, edge cases, and assertions for Jest, pytest, JUnit, and other frameworks whenever users ask to generate tests.

This skill orchestrates a comprehensive, multi-stage Git development workflow, simulating the process from code commit to PR preparation. It leverages specialized AI agents (code reviewers, test automators, prompt engineers) to systematically enforce best practices. Key functions include code quality assessment, breaking change analysis, running unit/integration/E2E tests, and generating Conventional Commit messages, ensuring code readiness and high quality before merging.

Automates Go test creation across unit, integration, and mocked scenarios while enforcing best practices for test automation workflows.

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.

Configure robust CI/CD pipelines for Groq API integrations using GitHub Actions. This guide covers setting up unit tests (mocked), live integration tests, and automated model deprecation checks. It ensures that your LLM-powered application remains stable and compatible as models evolve.

A comprehensive guide to setting up a fast, reproducible local development workflow for Groq applications. This setup includes structured project scaffolding, implementing singleton clients, defining model constants, and providing isolated unit tests with mocking, alongside live integration tests. Ideal for developers building low-latency LLM applications and ensuring rapid iteration cycles.