Skill UI

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 specialist provides expert architectural guidance for designing and implementing scalable modular monolith backends using NestJS. It leverages Domain-Driven Design (DDD), Clean Architecture, and event-driven patterns to establish clear bounded contexts and module boundaries. Use this skill when building complex systems that require high modularity, maintainability, and a planned path toward microservices, ensuring state isolation and loose coupling within a single deployment unit.

Blueprint for building SEO-optimized pages at scale using data-driven templates, focused on unique value, clean architecture, indexing, and quality governance. Ideal for teams creating directory, comparison, or location landing pages.

This skill acts as an expert guide for developing clean, idiomatic, and highly performant Ruby code. It specializes in the entire Rails ecosystem, covering metaprogramming, ActiveRecord patterns, gem development, and comprehensive testing using RSpec/Minitest. Use it to ensure best practices, optimal code structure, and maintainable architecture in Ruby projects.

This skill provides comprehensive guidelines for architecting and developing high-quality, maintainable software. It is deeply rooted in Clean Architecture and Domain-Driven Design (DDD) principles. It covers best practices for code decomposition, naming conventions, separation of concerns, and avoiding common anti-patterns. Use this skill when designing, analyzing, or developing complex, domain-specific software systems.

A guide to building robust, type-safe, and highly testable backend services using functional programming patterns in Node.js or Deno. This pattern utilizes fp-ts and ReaderTaskEither to manage dependency injection, compose complex business logic, and handle typed errors gracefully, promoting clean service layer architecture.

Provides actionable guidance and review checklists for modern clean UI/UX, emphasizing CRAP principles, task-first flows, information architecture, system feedback, consistency, and refined iconography.

Aggregates Uncle Bob’s Clean Code, Architecture, Coder, Agile, and design-pattern guidance to evaluate reviews, refactors, and architecture decisions, and to surface professionalism heuristics without replacing your linter or formatter.

A comprehensive guide to implementing Clean Architecture patterns for both Android and Kotlin Multiplatform (KMP) projects. It covers robust module structuring, dependency inversion rules, defining UseCases and Repositories, and designing the data layer using technologies like Room, SQLDelight, and Ktor. Learn how to separate concerns, maintain platform independence, and manage complex data flows.

A comprehensive guide to idiomatic and robust Dart/Flutter patterns. Covers essential topics including null safety, immutable state management (Freezed), advanced state solutions (BLoC, Riverpod, Provider), reactive routing with GoRouter, secure networking using Dio, and implementing Clean Architecture principles. Ideal for setting up new, scalable Flutter projects.

This skill provides a comprehensive, evidence-based inventory and overlap audit workflow for enterprise automation. It helps users determine which jobs, hooks, connectors, or wrappers are currently live, broken, redundant, or missing before making critical changes, ensuring reliable system architecture and clean code practices.

A comprehensive guide for structuring robust Go applications, covering best practices for new projects, from CLI tools to complex microservices and monorepos. It details directory conventions (cmd, internal, pkg), naming rules, adopting 12-Factor App principles, and choosing appropriate architectures (Clean, DDD, Hexagonal).