IoT Assistant for Openclaw

A technical guide and automation resource for designing, securing, and integrating IoT devices into smart home ecosystems.

ivangdavila
v1.0.0
Feb 11, 2026
3
2.4k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install iot

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install iot using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is IoT Assistant?

The IoT skill provides a comprehensive framework for developers looking to master the complexities of the Internet of Things. It covers the entire lifecycle of a smart device, from initial protocol selection and firmware development on ESP32 or ESP8266 platforms to integration with centralized hubs like Home Assistant. By leveraging this resource within Openclaw Skills, developers can ensure their deployments are not only functional but also secure and power-efficient.

This skill emphasizes local-first control to prevent vendor lock-in, teaching users how to use protocols like MQTT, Zigbee, and CoAP. It prioritizes security hardening, offering guidance on TLS encryption, VLAN isolation, and signed firmware updates to protect connected environments from modern cyber threats.

IoT Assistant Use Cases

  • Building low-power sensor networks using ESP32 deep sleep and solar charging.
  • Configuring secure MQTT brokers for real-time, lightweight messaging across a local network.
  • Integrating off-the-shelf smart devices into Home Assistant using Tasmota or Zigbee2MQTT.
  • Implementing Over-The-Air (OTA) firmware update systems for remote device maintenance.
  • Designing resilient home automation logic that functions without cloud dependency.

How IoT Assistant Works

  1. Evaluate the hardware requirements based on power availability (battery vs. wired) and range needs.
  2. Choose an appropriate communication protocol, such as MQTT for sensors or WebSocket for real-time dashboards.
  3. Implement security protocols including unique device credentials and network segmentation on a dedicated IoT VLAN.
  4. Develop device firmware using PlatformIO or ESP-IDF, incorporating watchdog timers for reliability.
  5. Deploy the device and monitor connectivity via heartbeat pings and MQTT debug topics.

IoT Assistant Setup

To begin using this skill for development, ensure you have a local MQTT broker installed and the PlatformIO CLI ready for hardware flashing.

# Install Mosquitto broker on Linux
sudo apt install mosquitto mosquitto-clients

# Install ESPHome for rapid Home Assistant integration
pip install esphome

# Initialize a new project
esphome wizard my_device.yaml

IoT Assistant Data Schema & Taxonomy

The skill organizes IoT data using hierarchical structures and reliable messaging patterns:

Component Format/Method Purpose
Topic Hierarchy location/room/device/sensor Logical data organization
Payload JSON or Plaintext Data transmission format
Storage NVS / EEPROM Persistent state across power cycles
Time Sync NTP Critical for accurate sensor logging
QoS Levels 0, 1, or 2 Ensures message delivery reliability

IoT Assistant Advanced Features

  • Multi-protocol bridging using Zigbee2MQTT and Matter support.
  • Advanced power management with microamp-level deep sleep optimization.
  • Automated discovery for Home Assistant using the native MQTT discovery format.
  • Signed firmware validation to prevent unauthorized code execution.
  • Graceful degradation logic for offline-first local control.

SKILL.md


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