Microservices

python-resilience is a guidance skill for safer Python failure handling with retries, exponential backoff, jitter, timeouts, and bounded retry windows. Use it to install practical resilience patterns for external calls and apply tenacity-style wrappers with clearer retry rules.

Use the distributed-tracing skill to design and explain request tracing across microservices with Jaeger and Tempo. Covers install basics, trace and span concepts, Kubernetes setup patterns, context propagation, and practical usage for observability and latency debugging.

nodejs-backend-patterns is a practical guide for building Node.js backend services with Express or Fastify, covering middleware, auth, error handling, repository layers, DI, caching, and database integration for production-minded APIs.

istio-traffic-management helps teams draft Istio traffic policies like VirtualService, DestinationRule, Gateway, and ServiceEntry for canary, retries, circuit breaking, and mirroring. Use it to translate deployment intent into clear routing and resilience manifests with practical prompts and review checks.

workflow-orchestration-patterns helps design durable Temporal workflows for distributed systems. Learn when to use it, how to install it, and how to model workflow vs activity boundaries, compensation, retries, and determinism.

projection-patterns helps teams design CQRS read models and event-stream projections, with practical guidance on projection types, replay, checkpointing, and usage for Backend Development.

saga-orchestration helps backend teams design distributed transactions with ordered steps, compensations, timeouts, retries, and stuck-saga recovery. Use it to evaluate fit, read key files, install from the parent repo, and apply the skill to practical microservice workflows.

Use the microservices-patterns skill to plan service boundaries, communication styles, data ownership, and resilience patterns for distributed systems and monolith migrations.

architecture-patterns helps backend teams design or refactor services with Clean, Hexagonal, Onion, and DDD approaches. Learn how to add the skill from the wshobson/agents repo, review SKILL.md and advanced references, and apply it to layering, bounded contexts, interfaces, dependency rules, and refactor plans.

cqrs-implementation helps backend teams design CQRS architectures, separate command and query models, and plan read/write scaling, events, and gradual adoption.

event-store-design helps Backend Development teams design event stores for event-sourced systems, covering streams, ordering, concurrency, snapshots, metadata, subscriptions, and operational tradeoffs. Use it to shape a practical event store design before implementation.

azure-servicebus-py is a Microsoft skill for Azure Service Bus in Python. It covers queues, topics, subscriptions, dead-letter handling, and backend development workflows. Use it when you need guided azure-servicebus-py usage, installation steps, auth notes, and repo-backed references for reliable messaging and admin tasks.

c4-architecture helps create Markdown-friendly software architecture documentation with Mermaid C4 diagrams. Use it to generate context, container, component, deployment, and dynamic views, follow a clear workflow, avoid common modeling mistakes, and support Technical Writing with versioned docs.

Architecture is a diagramming skill for building layered system views in HTML and CSS, with color-coded sections, grid layouts, and clear component hierarchy. It is best for user/application/data/infrastructure diagrams, microservices maps, and enterprise architecture. Use it instead of generic prompts when you want fast, editable architecture for Diagramming output.

The cloud-solution-architect skill helps an agent act like an Azure Cloud Solution Architect for Cloud Architecture decisions. Use it to review designs, choose architecture styles, compare Azure services, and apply design principles, patterns, and best practices with less guesswork than a generic prompt.