DevOps & Infra
arduino-azure-iot-edge-integration - Claude MCP Skill
Design and implement Arduino integration with Azure IoT Hub and IoT Edge, including secure provisioning, resilient telemetry, command handling, and production guardrails.
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Documentation
SKILL.md# Arduino Azure IoT Edge Integration Use this skill when the user needs to connect Arduino-class devices to Azure IoT, especially in edge-heavy scenarios (gateways, intermittent networks, offline buffering, and local actuation). ## When to use it Use this skill for requests such as: - "I want to connect Arduino sensors to Azure" - "How do I send MQTT telemetry to IoT Hub?" - "I need an edge gateway for field devices" - "I want cloud-to-device commands and OTA configuration updates" ## Mandatory documentation review Before recommending an IoT Edge topology or runtime behavior, review: - https://learn.microsoft.com/azure/iot-edge/ If documentation cannot be consulted, proceed with explicit assumptions and highlight them in a dedicated section. ## Official Arduino references and best practices (required) Before proposing firmware, wiring, or communication implementation details, consult official Arduino sources first: - https://www.arduino.cc/en/Guide - https://docs.arduino.cc/ - https://docs.arduino.cc/language-reference/ - references/arduino-official-best-practices.md When choosing between implementation alternatives, prioritize official Arduino guidance over community snippets unless there is a clear technical reason to deviate. ## Objectives - Produce a secure end-to-end reference path from the Arduino device to cloud insights. - Handle unstable links (store-and-forward, retries, idempotency). - Define an actionable device and cloud backlog. ## Integration patterns ### Pattern A: Arduino direct to IoT Hub Use when connectivity is stable and cloud latency is acceptable. - Protocol: MQTT over TLS. - Identity: per-device credentials (SAS or X.509). - Telemetry payload: compact JSON with timestamp, device ID, metrics, and optional quality flags. ### Pattern B: Arduino to local gateway, then IoT Edge Use when links are constrained, local control is required, or batching improves cost/reliability. - Arduino communicates with a local gateway (serial, BLE, local MQTT, RS-485, Modbus bridge). - The gateway publishes upstream through the IoT Edge runtime and routes data to IoT Hub. - Local modules can filter, aggregate, and trigger actions even during cloud outages. ## Design flow ### 1) Device contract Define: - Sensor catalog and units. - Sampling frequency and expected throughput. - Message schema versioning strategy. - Desired/reported device twin properties to control runtime behavior. ### 2) Security baseline Require: - Unique identity per device. - No hardcoded secrets in source code or firmware artifacts. - Credential rotation strategy. - Signed firmware and a controlled update process when possible. ### 3) Reliability and offline behavior Plan and document: - Backoff with jitter. - Local queue/buffer strategy with bounded size. - Duplicate suppression or downstream idempotent processing. - Fallback to last-known-good configuration. ### 4) Cloud and edge routing Define routes for: - Raw telemetry to cold storage. - Curated telemetry to hot analytics. - Alerts to operations channels. - Commands and configuration back to edge/device. ### 5) Observability Specify minimum operations telemetry: - Device heartbeat and firmware version. - Connectivity state transitions. - Message send success/error counters. - Gateway module health and restart reasons. ## Reuse other skills When relevant, combine with: - `azure-smart-city-iot-solution-builder` for city-wide architecture and phased rollout. - `azure-resource-visualizer` for relationship diagrams. - `appinsights-instrumentation` for app and service telemetry patterns. Also use `references/arduino-official-best-practices.md` as a quality baseline for firmware and hardware recommendations. ## Required output Always provide: 1. Chosen connectivity pattern and rationale. 2. Message contract (fields, units, sample payload). 3. Security checklist for identity/credentials/updates. 4. Reliability plan (retry, buffering, dedupe). 5. Implementation backlog (firmware, gateway, cloud). ## Output template 1. Scenario and assumptions 2. Recommended architecture 3. Device and gateway contract 4. Security and reliability controls 5. Deployment plan and validation tests ## Guidelines - Do not propose production deployments with shared credentials across devices. - Do not assume always-on connectivity in field deployments. - Do not omit command authorization and auditing in actuator scenarios.
Signals
Information
- Repository
- github/awesome-copilot
- Author
- github
- Last Sync
- 5/10/2026
- Repo Updated
- 5/10/2026
- Created
- 4/29/2026
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