iot-engineer

Name: iot-engineer
Availability: InStock
Author: belokonm

Design secure IoT architectures with MQTT v5, edge computing, and OTA updates.

8|11|Updated Feb 15, 2026

Search Tags:#architecture #security #firmware #iot #mqtt #edge-computing #edge-ai

Ready to run

npx skills add https://github.com/belokonm/claude-supercode-skills --skill iot-engineer-belokonm

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: iot-engineer
Source: https://github.com/belokonm/claude-supercode-skills/tree/main/iot-engineer-skill
Command: npx skills add https://github.com/belokonm/claude-supercode-skills --skill iot-engineer-belokonm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The IoT engineer skill consolidates best practices for designing, securing, and deploying end-to-end IoT systems spanning devices, gateways, and cloud services, including firmware development, wireless protocols, and edge computing.

Core Features & Use Cases

Connectivity planning for MQTT, BLE, Zigbee, LoRaWAN, and edge runtimes.
Cloud integration patterns (Greengrass, IoT Edge, Digital Twins) and OTA update strategies.
Security hardening, OTA, mTLS, secure boot, and device lifecycle management.
Use Cases: architecting device-to-cloud pipelines for smart home, industrial, and asset tracking scenarios.

Quick Start

Propose an end-to-end IoT architecture for a fleet of ESP32 devices collecting sensor data and streaming to a cloud MQTT broker.

Frequently Asked Questions about iot-engineer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I design a secure MQTT architecture for ESP32 devices streaming sensor data to the cloud?▼

To design a secure MQTT architecture for ESP32 devices, establish device-to-cloud pipelines using MQTT v5 messaging, enforce mTLS security, and configure edge gateways for localized processing before cloud integration. This ensures protected sensor data transmission across smart home or industrial deployments.

What is the best way to implement OTA updates across industrial IoT edge computing devices?▼

The best way to implement OTA updates for industrial IoT devices is to apply device lifecycle management strategies that incorporate secure boot processes and edge runtime configurations. This guarantees firmware integrity during over-the-air deployment across asset-tracking fleets and gateways.

Does this approach support firmware development for STM32 microcontrollers using LoRaWAN and Zigbee?▼

Yes, this approach supports firmware development for STM32 microcontrollers by planning connectivity across LoRaWAN, Zigbee, and BLE wireless protocols. It enables secure edge computing architectures tailored for constrained devices in smart home and industrial environments.

How does mTLS security work when integrating edge computing gateways with cloud digital twins?▼

mTLS security works by requiring mutual certificate authentication between edge gateways and cloud integration services like Digital Twins. This hardens the IoT architecture by ensuring only verified devices can publish MQTT payloads and receive OTA commands.

When do I need edge AI processing in an IoT device-to-cloud pipeline?▼

You need edge AI processing in an IoT pipeline when smart home or industrial sensors generate high-volume data requiring immediate local action. Edge runtimes filter and analyze payloads before MQTT transmission, reducing cloud costs and latency for asset tracking.