Can I use this to set up an MQTT broker?

Absolutely. It contains standardized Docker Compose configurations for Mosquitto and client-side logic for robust pub/sub communication.

Does it include support for edge processing?

Yes, it includes specialized patterns for offloading logic to the edge using Cloudflare Workers and managing stateful device data with Durable Objects.

What hardware platforms does this skill support?

This skill provides guidance and code patterns for popular platforms including ESP32, Arduino, and Raspberry Pi, covering both MicroPython and C++ implementations.

Is this skill suitable for production IoT environments?

Yes, it focuses on industry-standard protocols like MQTT with QoS 1, secure authentication patterns, and scalable edge architectures suitable for professional deployments.

Edge Computing & IoT Integration

Name: Edge Computing & IoT Integration
Author: miles990

bymiles990

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Cloud Infrastructure

Architects robust IoT solutions using MQTT protocols, edge computing functions, and embedded system integration for hardware devices.

About

The Edge-IoT skill empowers Claude to design and implement end-to-end Internet of Things architectures, bridging the gap between physical hardware and cloud services. It provides specialized knowledge for configuring MQTT brokers like Mosquitto, developing edge processing logic via Cloudflare Workers, and writing firmware for popular microcontrollers including ESP32 and Arduino. Whether you are building smart home systems, industrial monitoring tools, or low-latency telemetry pipelines, this skill ensures best practices in device communication, data aggregation, and real-time command handling.

Key Features

Edge data processing patterns using Cloudflare Workers and Durable Objects
Device telemetry simulation for testing and prototyping IoT workflows
Firmware development for ESP32/Arduino using MicroPython and C++
1 GitHub stars
MQTT broker orchestration and secure client implementation in Node.js
Standardized hardware-to-cloud communication and data ingestion patterns

Use Cases

Building scalable MQTT-based architectures for smart home or industrial automation
Developing real-time sensor monitoring systems with low-latency edge processing
Implementing hardware-to-cloud bridges for secure telemetry and device management

About

Key Features

Edge data processing patterns using Cloudflare Workers and Durable Objects
Device telemetry simulation for testing and prototyping IoT workflows
Firmware development for ESP32/Arduino using MicroPython and C++
1 GitHub stars
MQTT broker orchestration and secure client implementation in Node.js
Standardized hardware-to-cloud communication and data ingestion patterns

Use Cases

Building scalable MQTT-based architectures for smart home or industrial automation
Developing real-time sensor monitoring systems with low-latency edge processing
Implementing hardware-to-cloud bridges for secure telemetry and device management