raspberry-pi

This skill enables the AI to interact with Raspberry Pi devices for IoT tasks, including remote management, hardware prototyping, and edge computing operations.

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Install skill "raspberry-pi" with this command: npx skills add alphaonedev/openclaw-graph/alphaonedev-openclaw-graph-raspberry-pi

raspberry-pi

Purpose

This skill enables the AI to interact with Raspberry Pi devices for IoT tasks, including remote management, hardware prototyping, and edge computing operations.

When to Use

Use this skill for scenarios involving hardware setup, such as deploying sensors in a smart home, running lightweight servers for data processing, or testing embedded applications on a compact Linux board.

Key Capabilities

  • Establish SSH connections to execute commands on Raspberry Pi.

  • Configure hardware settings, like GPIO pins, for physical interactions.

  • Manage software installations and updates via apt.

  • Monitor system resources and logs for edge computing tasks.

  • Integrate with Python libraries for automation, e.g., RPi.GPIO for pin control.

Usage Patterns

To accomplish tasks, first authenticate via SSH using environment variables like $RASPI_HOST and $RASPI_SSH_KEY . Then, run commands directly or invoke scripts. For repeated tasks, wrap commands in Python functions. Always check device connectivity before proceeding. For GPIO work, import relevant libraries and set pin modes explicitly.

Common Commands/API

  • Connect via SSH: ssh pi@$RASPI_HOST -i $RASPI_SSH_KEY

  • Access configuration tool: sudo raspi-config (use options like "Boot Options" with flag --expand-rootfs for storage)

  • Control GPIO pins in Python: import RPi.GPIO as GPIO GPIO.setmode(GPIO.BCM) GPIO.setup(17, GPIO.OUT) GPIO.output(17, GPIO.HIGH)

  • Update and install packages: sudo apt update && sudo apt install -y package-name (e.g., apache2 for a web server)

  • Check system status: vcgencmd measure_temp to get CPU temperature, or top for resource usage.

  • Config format for /boot/config.txt: Add lines like dtparam=i2c_arm=on to enable I2C, then reboot.

Integration Notes

When integrating with other systems, set auth variables in your environment, e.g., export RASPI_HOST=raspberrypi.local and export RASPI_SSH_KEY=/path/to/private.key . For API-like interactions, use SSH wrappers in scripts. Ensure network compatibility; if behind a firewall, forward ports like 22 for SSH. For IoT ecosystems, pair with MQTT brokers by installing mosquitto and configuring via /etc/mosquitto/mosquitto.conf with lines like listener 1883 .

Error Handling

If SSH fails, verify connectivity with ping $RASPI_HOST and check key permissions (e.g., chmod 600 $RASPI_SSH_KEY ). For GPIO errors, ensure RPi.GPIO is installed via pip install RPi.GPIO and handle exceptions like GPIO.error in code:

try: GPIO.setup(17, GPIO.OUT) except RuntimeError as e: print("Error: " + str(e) + " - Check user permissions")

For apt issues, use apt --fix-broken install to resolve dependencies. Always log errors with timestamps, e.g., via echo "$(date): Error message" >> error.log .

Usage Examples

Set up and blink an LED on GPIO pin 17: First, SSH in with ssh pi@$RASPI_HOST -i $RASPI_SSH_KEY , then create a script file with nano blink.py and add:

import RPi.GPIO as GPIO import time GPIO.setmode(GPIO.BCM) GPIO.setup(17, GPIO.OUT) for _ in range(5): GPIO.output(17, True) time.sleep(1) GPIO.output(17, False) time.sleep(1)

Run it with python blink.py to toggle the LED.

Deploy a basic web server for IoT monitoring: SSH into the device, update packages with sudo apt update , install Apache via sudo apt install -y apache2 , then edit the default page at /var/www/html/index.html by adding content like <h1>IoT Status: OK</h1> . Access it via http://$RASPI_HOST in a browser, and monitor logs with tail -f /var/log/apache2/access.log .

Graph Relationships

  • Related to cluster: iot

  • Connected skills: sensors (for GPIO integration), actuators (for hardware control), edge-computing (for resource monitoring)

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