Agent skill · product strategy · github
azure-smart-city-iot-solution-builder
Design and plan end-to-end Azure IoT and Smart City solutions: requirements, architecture, security, operations, cost, and a phased delivery plan with concrete implementation artifacts.
Why this skill is useful
Provides detailed architectural patterns and implementation artifacts specific to Azure IoT and Smart City solutions that the AI wouldn't reliably generate on its own.
What it needs
About 3k tokens when loaded. Last updated 2026-08-07. 37,534 stars on the source repository.
What this skill does
Azure Smart City IoT Solution Builder Use this skill to rebuild and standardize a complete workflow for Azure IoT and Smart City solutions. When to use it Use this skill when the user asks for things like: "I want to build an IoT solution on Azure" "Smart City architecture for traffic, lighting, or waste" "How do I connect devices, analytics, and alerts?" "I need a roadmap and backlog for an urban platform" Objectives Convert a high-level idea into a deployable architecture. Reuse existing Azure-focused skills whenever possible. Produce concrete artifacts the team can implement. Workflow 0) Mandatory documentation review (before any architecture) Before proposing architecture or technology decisions that involve edge computing, review Azure IoT Edge documentation first: https://learn.microsoft.com/azure/iot-edge/ Minimum pages to review: What is Azure IoT Edge Runtime architecture Supported systems Version history/release notes Relevant Linux/Windows quickstarts for the scenario If documentation cannot be consulted, state this explicitly and continue with clearly marked assumptions. 1) Scope and constraints Collect and confirm: City domain: mobility, parking, air quality, water, energy, public safety, waste, etc. Scale: number of devices, telemetry frequency, retention, regions. Latency and availability objectives. Regulatory and privacy constraints. Existing systems to integrate (SCADA, GIS, ERP, ticketing, APIs). 2) Capability map Split the platform into layers: Device and edge: onboarding, identity, firmware, OTA, edge processing. Ingestion and messaging: command and control, event routing, buffering. Data and analytics: hot path vs cold path, dashboards, historical analysis. Operations: observability, incident flow, SLOs. Governance: RBAC, secrets, policies, network isolation. 3) Azure service selection (reference) Device connectivity: Azure IoT Hub, Azure IoT Operations, IoT Edge. Event streaming: Event Hubs, Service Bus, Event Grid. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills github/azure-smart-city-iot-solution-builder