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edge-iot

Develop edge computing and IoT solutions with MQTT, MicroPython, and C++ for ESP32.

20|5|Updated Jan 5, 2026
Search Tags:#edge computing#firmware#iot#esp32#embedded systems#device management#mqtt
One-click install
npx skills add https://github.com/miles990/claude-software-skills --skill edge-iot
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: edge-iot
Source: https://github.com/miles990/claude-software-skills/tree/main/development-stacks/edge-iot
Command: npx skills add https://github.com/miles990/claude-software-skills --skill edge-iot

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables the development and integration of applications for edge devices, IoT protocols, and embedded systems, bridging the gap between the physical and digital worlds.

Core Features & Use Cases

  • MQTT Protocol: Implement robust communication with brokers for device-to-cloud and device-to-device messaging.
  • Embedded Systems: Develop firmware for microcontrollers like ESP32 using MicroPython and C++.
  • Edge Functions: Deploy serverless logic at the edge using platforms like Cloudflare Workers for real-time data processing.
  • Device Management: Register, configure, and command IoT devices.
  • Use Case: Build a smart home system where sensors (e.g., temperature, humidity) on ESP32 devices send data via MQTT to a central broker, which is then processed by an edge function for real-time alerts and historical data aggregation.

Quick Start

Use the edge-iot skill to set up a Mosquitto MQTT broker using Docker.

Frequently Asked Questions about edge-iot

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

FAQPage Schema
How do I implement MQTT communication for ESP32 embedded systems?▼

MQTT communication for ESP32 embedded systems is facilitated by providing firmware examples in MicroPython and C++ that connect to brokers for device-to-cloud messaging. The skill includes scripts to set up a Mosquitto broker via Docker.

What is the best way to deploy edge functions for real-time IoT data processing?▼

Deploying edge functions for real-time IoT data processing is supported by integrating serverless logic execution at the edge, using platforms like Cloudflare Workers to process data streams from MQTT brokers for immediate alerts and aggregation.

Can I use MicroPython and C++ for ESP32 device management?▼

Yes, ESP32 device management is supported using both MicroPython and C++ to develop firmware. You can register, configure, and command IoT devices by bridging physical hardware interfaces with digital protocol integration.

Does this skill support setting up a local Mosquitto MQTT broker?▼

Yes, setting up a local Mosquitto MQTT broker is supported. The skill provides a quick start approach to deploy the broker using Docker, enabling immediate device-to-device and device-to-cloud messaging for your IoT solutions.

How do I build a smart home system with edge computing and IoT protocols?▼

Building a smart home system with edge computing involves connecting ESP32 sensors via MQTT to a central broker. Edge functions then process the real-time data stream to trigger alerts and aggregate historical sensor readings.

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