A high-performance skill that leverages Raspberry Pi native hardware PWM interfaces to provide smooth and precise servo motor control.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install raspberry-pi-servo
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install raspberry-pi-servo using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill allows AI agents to interface directly with the Raspberry Pi kernel hardware PWM modules. Unlike software-based PWM which can suffer from jitter due to CPU overhead, this Openclaw Skills integration ensures stable signals for sensitive hardware components.
It is specifically designed for developers building robotics, automated camera mounts, or any IoT device requiring exact angular positioning. By leveraging the rpi-hardware-pwm Python library, it provides a professional-grade interface for physical automation directly from your agent environment.
To get started with this skill on your device, first check if the hardware interface is enabled:
ls /sys/class/pwm/
If the directory is empty, add dtoverlay=pwm-2chan to your /boot/firmware/config.txt and reboot. Then, install the necessary components for Openclaw Skills integration:
python3 -m venv ~/.venv
source ~/.venv/bin/activate
pip install rpi-hardware-pwm
The skill manages hardware state and configuration through the following schema:
| Attribute | Type | Description |
|---|---|---|
| pwm_channel | Integer | The hardware channel (0, 1, 2, or 3 depending on model) |
| hz | Integer | The frequency of the PWM signal (default 60Hz for servos) |
| duty_cycle | Float | The percentage of the pulse width (0 to 100) |
| chip | Integer | The hardware PWM chip index (usually 0) |
Loading
Shaper is a project management skill that enables AI agents to execute the Shape Up methodology by interacting with workspaces, pitches, and hill charts via MCP.

E-SafeNet provides a secure, encrypted environment for AI agents to handle sensitive credentials and private data during automated workflows.

A specialized skill enabling AI agents to manage leads, automate email campaigns, and track customer interactions via Followup.

A context-saving navigation utility for Openclaw Skills that builds compact indexes to prevent AI agents from rereading large source files.

A specialized text refiner that eliminates AI patterns and adapts writing for specific social platforms with natural human rhythm.

A global e-commerce search tool that automatically injects affiliate tracking codes into product links to generate passive commission income.








































