Skill UI

This tool orchestrates the complete workflow for addressing defects, ensuring a robust fix process. It guides the user through reproducing a bug as a failing regression test, applying the necessary fix until the test passes (goes green), and managing the subsequent code review and gated commit phases. Ideal for systems where existing functionality is broken, incorrect, or exhibiting regression.

This skill orchestrates complex, behavior-preserving code refactoring. It is designed to improve code structure—such as extracting modules, eliminating duplication, or reducing nesting—without changing the core functionality. The process follows a rigorous, multi-phase gate system, ensuring existing tests remain green throughout the entire development lifecycle, culminating in a behavior-neutral commit.

This optimizer guides the acceleration of complex, multi-stage processes, such as CI/CD pipelines, large-scale refactoring, or data validation. It instructs users to decompose large tasks into independent execution lanes, build a dependency graph, batch read/check operations, and manage writes with strict isolation to maximize speed without sacrificing correctness. Ideal for optimizing development workflows and testing cycles.

This skill is designed for orchestrating complex, multi-step processes. It helps manage workflows, coordinate different components, and ensure systematic execution of tasks from planning to completion. Ideal for complex automation scenarios and structured project management.

This skill is intended to analyze and improve the quality of codebases, ensuring adherence to best practices and coding standards. Note: This specific file is a translation placeholder, and the core functionality description should refer to the original skill file for details.

A comprehensive guide covering advanced patterns, common pitfalls, and optimization techniques for using Prisma ORM in TypeScript backend applications. Learn best practices for schema design, handling transactions, optimizing queries (include vs select), and managing connection pools in production environments.

A comprehensive guide detailing the architectural standards, technology stack, file structure, and coding patterns for building modern, AI-driven full-stack applications. It covers best practices for Next.js, FastAPI, database interaction (Supabase), and structured AI integration (Claude), ensuring consistency and scalability across the development lifecycle.

Master professional Python testing practices using the pytest framework. This guide covers Test-Driven Development (TDD) methodology, advanced features like fixtures (with different scopes), parametrization, assertion techniques, and achieving high code coverage, ensuring robust and maintainable software.

This comprehensive guide covers security best practices for building robust Quarkus applications. It details how to implement secure authentication (JWT, OIDC), role-based authorization (RBAC), robust input validation (Bean Validation), and advanced protection against vulnerabilities like SQL injection and CSRF. Essential for securing resource access and managing application secrets.

A comprehensive guide to best practices for building production-ready React Native and Expo applications. Covers core concepts including Expo Router navigation, state management separation, robust data fetching with TanStack Query and Zod, efficient list rendering, styling consistency, and accessing native APIs.

A comprehensive guide detailing advanced performance optimization patterns for React 18/19 and Next.js. Adapted from Vercel Engineering's best practices, this skill organizes 70+ critical rules across eight categories—including eliminating waterfalls, optimizing bundle size, improving server-side rendering, and managing client-side re-renders. Use this when developing, reviewing, or refactoring high-performance React applications.

This guide provides comprehensive patterns for behavior-focused testing of React components, custom hooks, and pages. It covers best practices using React Testing Library (RTL), including accessibility assertions, simulating user interactions (userEvent), and network mocking with MSW. It also helps developers define clear test boundaries between unit component tests and full E2E flows.