architecture▌

Production-ready React Native patterns with Expo, navigation, offline-first architecture, and native module integration. \n \n Covers Expo Router for file-based navigation, authentication flows with secure token storage, and route protection patterns \n Includes offline-first data sync using React Query with AsyncStorage persistence and online status detection \n Demonstrates native module integration for haptics, biometrics, push notifications, and platform-specific code patterns \n Provides pe

Use this skill to pick the best Swift architecture playbook for SwiftUI/UIKit codebases and apply it to the user’s task.

Serverless architecture enables building complete applications without managing servers. Design event-driven, scalable systems using managed compute services, databases, and messaging systems. Pay only for actual usage with automatic scaling.

Analyzes coupling between modules using the three-dimensional model (strength, distance, volatility) from "Balancing Coupling in Software Design". Use when asking "are these modules too coupled?", "show me dependencies", "analyze integration quality", "which modules should I decouple?", "coupling report", or evaluating architectural health. Do NOT use for domain boundary analysis (use domain-analysis) or component sizing (use component-identification-sizing).

Use this skill for system-level design decisions rather than implementation details within a single service or component.

React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes. Do NOT use for React/Next.js performance optimization (use react-best-practices instead).

Information Architecture creates logical structures that help users find and understand information easily.

Analyzes codebases to generate comprehensive architectural documentation with diagrams and implementation patterns. \n \n Auto-detects technology stacks (.NET, Java, React, Angular, Python, Node.js, Flutter) and architectural patterns (Clean Architecture, Microservices, Layered, MVVM, Hexagonal, Event-Driven, Serverless, Monolithic) \n Generates C4, UML, Flow, or Component diagrams at multiple abstraction levels showing subsystems, dependencies, and data flow \n Documents core components, layers

$23

RWKV (RwaKuv) combines Transformer parallelization (training) with RNN efficiency (inference).