Skill UI

Implements Apollo.io reference architecture guidelines for building production-grade sales intelligence apps, including layered services, Bull jobs, TypeORM models, REST APIs, and CRM/event-driven integrations.

Guides building production-ready Azure Cosmos DB NoSQL services with FastAPI, enforcing clean code, security best practices, and TDD-friendly layers for client setup, service logic, and model conversion.

This skill defines mandatory architectural standards and best practices for developing robust, scalable, and observable backend services using Node.js, Express, and TypeScript. It mandates layered architecture (Routes → Controllers → Services → Repositories), strong error handling, dependency injection, and input validation (Zod) to ensure maintainability and reliability in production environments. Use when designing or refactoring core API logic.

This skill guides the definition of relationships and integration contracts between distinct bounded contexts within a complex system using Domain-Driven Design (DDD) patterns. It is crucial for preventing domain leakage, planning anti-corruption layers (ACLs), and clarifying ownership boundaries when multiple services interact, ensuring a robust and scalable system architecture.

Provides advanced Docker containerization guidance, covering multi-stage builds, layered caching, security hardening, orchestration awareness, and production deployment validation so teams can ship optimized, secure services.

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.

Provides reference architecture patterns for building scalable, maintainable Gamma integrations across UI, service, and event-driven layers to guide enterprise teams as they design, plan, and document multi-platform systems.

Step-by-step guide to replatforming services via Groq, covering assessment, adapter layer, data migration, traffic shifting, rollback, and validation workflows for major upgrades or switches.

Guides setting up production-ready Mistral AI integrations with layered layout, a singleton client, Zod-based config, custom errors, caching-aware service layer, health endpoints, and prompt templates.

Provides production-ready reference architecture patterns for Obsidian plugin development, guiding project layout, service layers, and event management so teams can organize new builds and reviews consistently with best practices.

Provides a layered reference architecture for building clinical AI integrations with OpenEvidence, covering project layout, compliant client/service layers, FHIR/CDS Hooks integration, and typed configuration management.

Guides Java engineers through Spring Boot backend architecture, REST API design, service layering, repository patterns, caching, async handlers, logging, middleware, and resilience practices for scalable production services.