A personalized IoT weather monitor that bridges ESP32 sensor data with your AI agent for real-time environmental insights.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install weather-esp32
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install weather-esp32 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 ESP32 Weather Assistant?
The ESP32 Weather Assistant is a specialized integration designed to transform raw sensor data into actionable environmental insights. By connecting to an ESP32 microcontroller equipped with a BMP280 sensor, this tool allows Openclaw Skills to provide hyper-local updates on temperature, atmospheric pressure, and altitude. This bridge between hardware and AI enables users to query their physical environment using natural language, making smart home monitoring more intuitive and accessible.
Whether you are managing a home laboratory or simply want to know the exact temperature of your server room, this skill provides a direct interface to your hardware. It eliminates the need for complex dashboards by allowing you to ask questions naturally and receive data-driven responses instantly.
ESP32 Weather Assistant Use Cases
- Monitoring indoor or outdoor temperature using personal ESP32 hardware.
- Checking atmospheric pressure for local weather forecasting and altitude tracking.
- Verifying IoT sensor health and connectivity status remotely.
- Receiving contextual clothing or comfort advice based on real-time environmental readings.
How ESP32 Weather Assistant Works
- The user provides the IP address or public URL of their ESP32 device to the AI agent.
- When a weather-related query is triggered, the skill initiates an HTTP GET request to the device's /reading endpoint.
- The ESP32 hardware returns a JSON payload containing precise metrics for temperature, pressure, and altitude.
- The skill parses this data and compares the temperature against predefined thresholds to generate contextual advice.
- The final environmental report is delivered to the user in a natural, conversational response.
ESP32 Weather Assistant Setup
To deploy the ESP32 Weather Assistant with Openclaw Skills, follow these steps:
- Ensure your ESP32 is flashed with firmware that serves JSON data at the
/readingand/healthendpoints. - Connect your ESP32 to your local network or expose it via a secure tunnel.
- Configure the device IP by telling the assistant:
Set ESP32 IP to [YOUR_DEVICE_IP]
- Verify the connection by running the health check command:
Check sensor
ESP32 Weather Assistant Data Schema & Taxonomy
The skill expects a JSON response from the ESP32 device with the following structure:
| Field | Type | Description |
|---|---|---|
| temperature | Float | Current temperature in Celsius |
| pressure | Float | Atmospheric pressure in hPa |
| altitude | Float | Estimated altitude in meters based on pressure |
The /health endpoint should return uptime data and the total number of readings served to track device stability.
ESP32 Weather Assistant Advanced Features
- Automated health monitoring via the /health endpoint to ensure hardware reliability.
- Contextual logic that provides specific advice (e.g., hydration or jacket reminders) based on temperature ranges.
- Support for remote sensor access through Cloudflare tunnels or dynamic DNS.
- Persistent configuration of device endpoints for seamless integration across multiple sessions in Openclaw Skills.
SKILL.md
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