iot-developer

Name: iot-developer
Availability: InStock
Author: daffy0208

Integrate sensors and devices into IoT systems using MQTT and WebSocket communications.

34|7|Updated Oct 22, 2025

Search Tags:#IoT #real-time #Arduino #industrial IoT #smart home #ESP32 #MQTT #sensors

Ready to run

npx skills add https://github.com/daffy0208/ai-dev-standards --skill iot-developer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: iot-developer
Source: https://github.com/daffy0208/ai-dev-standards/tree/main/SKILLS/iot-developer
Command: npx skills add https://github.com/daffy0208/ai-dev-standards --skill iot-developer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mqtt.

What problem does it solves? This Skill simplifies the development of Internet of Things (IoT) solutions, enabling seamless integration of physical devices, sensors, and actuators with digital platforms for smart homes, industrial automation, and real-time data collection.

Core Features & Use Cases

Device Integration: Guides programming microcontrollers (Arduino, ESP32) to read sensor data and control smart devices.
MQTT Communication: Implements the MQTT protocol for efficient, lightweight messaging between IoT devices and cloud platforms.
Real-time Dashboards: Builds interactive dashboards to visualize sensor data and control connected devices in real-time.

Quick Start

Real-time sensor dashboard

mqtt.subscribe('home/temperature', (temp) => { setTemperature(temp) })

Frequently Asked Questions about iot-developer

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

FAQPage Schema

How do I connect Arduino and ESP32 microcontrollers to send sensor data over MQTT?▼

MQTT is a lightweight messaging protocol designed for IoT devices. Use MQTT libraries on Arduino or ESP32 to publish sensor readings to a broker, establishing reliable communication between microcontrollers and cloud platforms or dashboards for real-time data collection.

What's the best way to build a real-time dashboard to visualize sensor data from connected devices?▼

Real-time dashboards subscribe to MQTT topics from your sensors and actuators, displaying live data and enabling remote device control. This skill covers integrating sensor feeds with interactive visualization tools to monitor smart home and industrial IoT systems instantly.

Can I use MQTT to control smart home devices and read sensor data simultaneously?▼

Yes. MQTT publish-subscribe patterns enable bidirectional communication: devices publish sensor data on specific topics while subscribers send control commands back. This supports both data acquisition and actuator control across smart homes and industrial automation.

How do I integrate multiple sensors and actuators across different platforms into one IoT system?▼

Cross-platform integration uses MQTT as a central messaging layer connecting diverse devices—Arduino, ESP32, and edge devices—to a unified system. This approach standardizes device communication, enabling seamless coordination of sensors and actuators regardless of hardware differences.

What are the limitations of MQTT for real-time IoT applications at scale?▼

MQTT excels for lightweight messaging but becomes constrained under extreme latency requirements or massive device counts without proper broker architecture. Consider network topology, broker capacity, and whether WebSocket alternatives better suit your specific real-time dashboard or industrial automation scale.