Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
JARVIS AI Skills
Control robotic arms and grippers via voice or code with OpenClaw, supporting precise 6-DOF movement, force sensing, collision detection, and simulation.
skill openclawclawhub Free
Control robotic arms and grippers via voice or code with OpenClaw, supporting precise 6-DOF movement, force sensing, collision detection, and simulation.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- skill.json, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- Aly-Joseph
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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
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 StΓ€ubli Custom embedded systems
Performance
Reach: 2-3 meters (model-dependent) Payload: 3-500 kg (model-dependent) Precision: Β±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
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Config
- SKILL.md
- skill.json