Skill UI

A comprehensive reference for managing Uncloud, a decentralized self-hosting platform. This guide details using the `uc` CLI to deploy services, configure Caddy ingress, manage ports (HTTP/HTTPS/TCP/UDP), scale workloads, and inspect logs across a WireGuard mesh cluster. Ideal for setting up resilient, self-owned microservices infrastructure.

A comprehensive guide for designing and building large-scale, resilient platforms using the evolutionary modular monolith approach. It enforces strong logical boundaries using DDD principles (bounded contexts, flat-by-aggregate) and implements necessary patterns like Anti-Corruption Layers and transactional outboxes. Use this when defining a system's structure, choosing between monolith and microservices, or ensuring robust decoupling from external vendors (e.g., ERP, AI).

This tool analyzes your entire codebase, assessing project identity, team size, test maturity, and existing architectural signals. It then recommends the most appropriate, AI-assisted development methodology stack (e.g., Microservices, Enterprise-Gov) and asks targeted questions to refine the plan, providing a concrete quick start guide.

Provides a hardened FastAPI endpoint for OpenMed's core functionalities: clinical Named Entity Recognition (NER), Personally Identifiable Information (PII) extraction, and de-identification. Designed for self-hosted microservices, it handles inference requests, model lifecycle management, and supports dynamic batching, ensuring secure, on-device processing of sensitive clinical data.

This skill provides expert-level review and guidance for complex software systems. It covers modern architecture patterns like microservices, event-driven design, and clean architecture. The architect evaluates scalability, resilience, security, and maintainability. It helps ensure architectural integrity and compliance with best practices across distributed systems and cloud-native environments.

Master proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems. This skill helps in designing new backend systems, refactoring monolithic applications, and establishing architecture standards for your team. It is suitable for migrating from tightly coupled to loosely coupled architectures and planning microservices decomposition.

Guides building serverless APIs, Lambda functions, microservices, and event-driven workflows on AWS using Well-Architected principles and services like Step Functions, SNS, SQS, DynamoDB, and EventBridge.

Deploy and manage production-grade Kubernetes clusters on Azure using AKS. Covers cluster creation, node pool configuration, networking, ingress controllers, monitoring, and security. Includes Terraform provisioning and best practices for microservices orchestration with auto-scaling and Azure AD integration.

This Python SDK enables centralized configuration management, feature flags, and dynamic settings for Azure applications. It supports authentication via connection strings or Entra ID, allowing developers to manage settings across environments like development and production. Features include setting read-only locks, creating snapshots for rollbacks, and handling feature flags for gradual rollouts. Ideal for microservices and cloud-native architectures requiring secure, scalable configuration control.

This skill provides expert guidance on designing scalable backend systems, APIs, and microservices. It covers service boundaries, API contracts, resilience patterns, event-driven architecture, security, and observability. Ideal for planning robust, maintainable infrastructure from day one.

This skill guides the architectural definition of complex business domains using Domain-Driven Design (DDD). It helps in defining core subdomains, separating services by bounded contexts, and establishing a unified ubiquitous language. It is essential for decomposing monoliths, structuring microservices, and aligning team ownership with clear domain boundaries.

Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices. Configure OpenTelemetry SDK and exporters to diagnose latency and errors. Ensure secure context propagation without logging sensitive data. Verify trace spans and sampling strategies for production observability.