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Smart City IoT Solution Planner

Plans end-to-end Azure IoT and Smart City solutions: requirements, architecture, security, cost and phased delivery.

Source Download skill
Repository
github/awesome-copilot
Stars
40,703
Licence
MIT
Files
2 files

What it does

When installed, the agent works through a structured process for designing an Azure-based Internet of Things (IoT) platform for a city, such as traffic, lighting, parking or waste systems. It asks about scope, scale, latency, privacy rules and existing systems, then produces a reference architecture, a security and governance checklist, a cost and scaling strategy, and a phased implementation backlog. It also tells the agent to point to Microsoft's Azure IoT Edge documentation before making edge computing decisions and to clearly label assumptions.

Great for

  • Architects or engineers planning a smart city or IoT project on Microsoft Azure
  • Teams that need a written roadmap, backlog and risk list before building
  • Consultants who want a consistent template for city-scale proposals

Skip it if

  • Deploying or changing live Azure resources: the skill is planning-focused and its guidance says to validate prerequisites before deployment, so it will not replace careful operational work (reason: planning output is not tested infrastructure code)
  • Projects that do not use Azure: the referenced services and workflow are Azure-specific
  • Final cost or compliance sign-off: the skill gives estimates and checklists, not verified pricing or legal advice (reason: it relies on the user's inputs and on other tools for pricing)

Try asking

  • “I want to build a smart traffic and lighting platform on Azure. Help me scope it and draft the architecture.”
  • “Create a phased delivery plan with exit criteria and KPIs for a pilot district waste-monitoring project.”
  • “How should we connect thousands of street sensors to analytics and alerts on Azure?”
  • “Give me a security and governance checklist for an urban air-quality IoT platform.”
Step-by-step guide: how to use Smart City IoT Solution PlannerInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 2 original files, the MIT licence and an attribution note.

    azure-smart-city-iot-solution-builder.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip azure-smart-city-iot-solution-builder.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip azure-smart-city-iot-solution-builder.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Give concrete numbers up front (device count, telemetry frequency, regions, retention) so the agent can size the design instead of guessing.
  • Ask the agent to label assumptions separately from confirmed facts, and check them with your city stakeholders.
  • Treat the output as a starting draft: have an Azure architect review security, region redundancy and cost before any deployment.

What's inside

  • references/smart-city-solution-template.md
  • SKILL.md

Redistributed unmodified from github/awesome-copilot under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.