Results for “service-design”

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Expert knowledge for Azure Copilot development including troubleshooting, decision making, architecture & design patterns, security, configuration, and integrations & coding patterns. Use when sizing VMs, generating Bicep/Terraform, configuring Cosmos DB storage, or debugging App Service/VM disks, and other Azure Copilot related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure Machine Learning (use azure-machine-learning), Azure AI Search (use azure-cognitive-search), Azure AI Bot Service (use azure-bot-service).

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Use to design VIP or tiered support programmes and to test whether higher tiers actually deliver better outcomes. Trigger for "VIP support programme", "service tiering", queue priority for premium customers, entitlement vs priority, tier inflation, or "does our enterprise tier get faster support".

Design and implement production-grade gRPC services in Go with Protobuf contracts, mTLS, streaming, and OpenTelemetry observability.

Use this when reviewing a full system design, architecture plan, or cross-service implementation for operational risk, boundary clarity, security posture, deployability, and maintainability.

Expert knowledge for Azure Functions development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building trigger/binding workflows, Durable Functions, containerized apps, Flex/Consumption plans, or CI/CD deploys, and other Azure Functions related development tasks. Not for Azure App Service (use azure-app-service), Azure Logic Apps (use azure-logic-apps), Azure Container Apps (use azure-container-apps), Azure Kubernetes Service (AKS) (use azure-kubernetes-service).

Expert knowledge for Azure Web PubSub development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using WebSockets/MQTT, Socket.IO, Functions bindings, geo-replication, or Premium autoscale in Web PubSub, and other Azure Web PubSub related development tasks. Not for Azure SignalR Service (use azure-signalr-service), Azure Event Hubs (use azure-event-hubs), Azure Service Bus (use azure-service-bus), Azure Relay (use azure-relay).

Use this when the backend is TypeScript-first and needs architecture for services, APIs, workers, serverless handlers, validation boundaries, and runtime-aware module design.

Expert knowledge for Azure Spring Apps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring ASA networking/security, Tanzu tools, observability/APM, CI/CD deployments, or blue‑green releases, and other Azure Spring Apps related development tasks. Not for Azure App Service (use azure-app-service), Azure Container Apps (use azure-container-apps), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Functions (use azure-functions).

Guides the creation of high-quality MCP servers that enable LLMs to interact with external services through well-designed tools, covering planning, implementation, testing, and evaluation.

Designs incremental migration strategies, identifies service boundaries, produces dependency maps and migration roadmaps, and generates API facade designs for aging codebases.

Use when a Supabase app needs Row Level Security policies for multi-tenant access, ownership checks, roles, service paths, or safe data exposure. Trigger on requests to design or review Supabase RLS and SQL authorization logic.

Build high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services. Covers design principles, architecture, implementation patterns, and evaluation-driven development.

Expert knowledge for Azure Reliability development including best practices, decision making, architecture & design patterns, and limits & quotas. Use when choosing Azure regions/zones, AKS/DB/queue designs, Web PubSub scaling, or DR/failover architectures, and other Azure Reliability related development tasks. Not for Azure Resiliency (use azure-resiliency), Azure Monitor (use azure-monitor), Azure Service Health (use azure-service-health), Azure Sre Agent (use azure-sre-agent).

Use this when reviewing a feature, service, API, auth design, integration, job system, or deployment plan for security weaknesses, unsafe trust assumptions, input risks, or privilege issues.

Use this when planning or refining an Express or Express-style Node.js API with route groups, middleware boundaries, validation, auth, error handling, and service layering.

Guides the creation of MCP servers that enable LLMs to interact with external services through well-designed tools.

Guides the creation of high-quality MCP servers that enable LLMs to interact with external services through well-designed tools, covering planning, implementation, and refinement for Python or Node/TypeScript.

Design asynchronous messaging patterns in Azure using Service Bus, Event Hubs, Event Grid, and Storage Queues. Use this skill when users ask for queueing, pub-sub, event streaming, retries, or decoupled system design. Covers delivery semantics, dead-lettering, idempotency, and monitoring.

Designs effective alerting and incident management for production services, covering alert rules, on-call rotations, runbooks, and incident response workflows.

Offer design and packaging for Nick's products and services. Use when shaping pricing, packages, guarantees, feature bundles, positioning, or making an offer more compelling and easier to buy.

Use when designing or rewriting a high-converting landing page (single-offer page) for SaaS/apps/services. Covers structure, layout patterns, conversion strategies, copywriting, SEO/AEO, and common pitfalls.

Use this when reviewing or designing how secrets, API keys, service credentials, signing keys, tokens, and environment-specific credentials are stored, loaded, rotated, and kept out of untrusted runtimes.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate exte...

Use when voice AI API design, integration architecture, API management, or voice service APIs is needed. This agent specializes in voice AI API architecture within the VoiceForge AI ecosystem.

Expert knowledge for Azure Service Bus development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when securing namespaces, configuring queues/topics, using JMS clients, geo-DR/replication, or NServiceBus, and other Azure Service Bus related development tasks. Not for Azure Event Hubs (use azure-event-hubs), Azure Event Grid (use azure-event-grid), Azure Queue Storage (use azure-queue-storage), Azure Relay (use azure-relay).

Expert knowledge for Azure Arc development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing Arc-enabled Kubernetes, servers/VMs, data services, resource bridge, or Edge RAG workloads, and other Azure Arc related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Virtual Machines (use azure-virtual-machines), Azure Stack Edge (use azure-stack-edge), Azure VMware Solution (use azure-vmware-solution).

Compare tradeoffs and recommend architectural patterns — dependency injection, service-oriented architecture, repository, domain events, circuit breaker, and anti-corruption layer. Use when choosing between design patterns, planning microservices boundaries, evaluating system design alternatives, or asking 'which pattern should I use' for a specific coupling or resilience problem.

Use when designing a new system, choosing between architectural patterns, planning how components will connect, evaluating scalability and reliability trade-offs, or reviewing an existing system for structural problems. For system design, service boundaries, database design, API structure, monolith vs microservices decisions, and architecture decision records (ADRs). Activate when user says "how should I structure this", "design the system", "is this architecture right", or "plan the backend".

Guides the creation of high-quality MCP servers, covering design, implementation, testing, and evaluation for integrating external services with LLMs.

Use this when designing or scaffolding serverless functions for APIs, webhooks, background handlers, or small trusted services across cloud runtimes. Trigger on requests about serverless handlers, event functions, or function-level architecture.

Design, build, and manage AWS Step Functions state machines for serverless workflow orchestration, including error handling, parallel execution, and integration with AWS services.

Design, operate, and troubleshoot OCI services including OKE, IoT, Functions, and Enterprise AI with OCI Generative AI models, agents, RAG, and cost estimation.