Best use case
Robotic Control Skill (OpenClaw) is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
## Overview
Teams using Robotic Control Skill (OpenClaw) should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/jarvis-skills/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Robotic Control Skill (OpenClaw) Compares
| Feature / Agent | Robotic Control Skill (OpenClaw) | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
## Overview
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Robotic Control Skill (OpenClaw) ## Overview The Robotic Control skill integrates OpenClaw for physical robotic arm and gripper manipulation through voice commands and programmatic control. ## Slug robotic-control ## Features - Robotic arm movement (6-DOF) - Gripper grab/release operations - Precise positioning and orientation - Force/torque sensing - Collision detection and safety - Action sequence execution - Hardware auto-detection - Simulation mode support ## Implementation - **Module**: `openclaw_control.py` - **Primary Library**: `OpenClaw SDK` - **Communication**: USB Serial, Ethernet, ROS ## Configuration ```python from openclaw_control import init_claw, get_claw # Initialize claw claw = init_claw() # Control operations claw.grab(force=50.0) claw.move_to(10, 20, 30) claw.release() ``` ## Voice Commands - "Jarvis, grab the object" - "Jarvis, move to 10 20 30" - "Jarvis, rotate 45 degrees" - "Jarvis, release" - "Jarvis, return to home" - "Jarvis, claw status" ## Hardware Support - Universal Robots (UR) - ABB Robotics - KUKA - Stäubli - Custom embedded systems ## Performance - Reach: 2-3 meters (model-dependent) - Payload: 3-500 kg (model-dependent) - Precision: ±0.03-0.1 mm - Speed: 1-7000 mm/s - Response Time: <10ms ## Dependencies - openclaw - pyserial - numpy ## Author Aly-Joseph ## Version 2.0.0 ## Last Updated 2026-01-31
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