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jarvis-skills

JARVIS AI Skills

Stars
15
Source
dvcrn/openclaw-skills-marketplace
Updated
2026-05-29
Slug
dvcrn--openclaw-skills-marketplace--jarvis-skills
View on GitHubRaw SKILL.md

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/dvcrn/openclaw-skills-marketplace/HEAD/plugins/aly-joseph--jarvis-skills/skills/jarvis-skills/SKILL.md -o .claude/skills/jarvis-skills.md

Drops the SKILL.md into .claude/skills/jarvis-skills.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

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

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