Skill UI

Provides expert AWS architecture, security, and implementation guidance backed by MCP tooling, helping teams choose services, migrate workloads, and troubleshoot production issues.

AWS development with infrastructure automation and cloud architecture patterns

AWS development with infrastructure automation and cloud architecture patterns

Guides teams through visibility, right-sizing, pricing models, architecture, tagging, and monitoring to reduce AWS/Azure/GCP spend while keeping performance stable.

Provides a workflow for building cloud-ready .NET 8 services, covering minimal APIs, clean architecture layering, EF Core data access, MediatR CQRS, JWT auth, and AOT-ready microservices deployments.

Offers production-ready reference architecture patterns for designing scalable, maintainable Evernote integrations, including microservices layout, cloud setups, messaging, caching, implementation steps, and scaling guidance.

This comprehensive skill covers the full scope of Firebase services, including Authentication, Firestore, Cloud Functions, and Hosting. It goes beyond basic implementation, focusing on critical architectural principles: adopting a query-first, denormalized NoSQL mindset. Key insights include mandatory security rule design, optimal data modeling for performance, and correctly utilizing modular SDKs to build scalable and secure backends.

Provides enterprise reference architecture patterns for Guidewire InsuranceSuite Cloud deployments, guiding system design, integration choices, security hardening, and scalability plans for production and multi-environment setups.

Provides expert multi-cloud architecture guidance, best practices, and validation for complex hybrid deployments spanning AWS, Azure, GCP, OpenStack, VMware, and edge environments.

Provides Java architecture guidance for Spring Boot 3 microservices, reactive WebFlux, JPA tuning, and security setups to build resilient cloud-native enterprise services.

Guides distributed system architecture by decomposing monoliths, defining bounded contexts, selecting communication protocols, and recommending resilience, observability, and deployment strategies for cloud-native microservices.

Provides a decision framework and best practices for architecting workloads across AWS, Azure, and GCP, covering patterns, service comparisons, migration phases, cost optimization, and cloud-agnostic infrastructure guidance.