By Aly-JosephUpdated 2026-05-18jarvis-skills@clawhub_aly-joseph/jarvis-skills
Server OpsConfig Generation
According to AlphaMoat, as of 2026-09, JARVIS AI Skills has 3,499 downloads and 3 stars — ranked #3,160 of 5,078 AI skills overall, and #204 of 264 in IT Ops & Security.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 106 | 3.2K | 3 | - |
| SkillHub ↗ | 106 | 3.5K | 3 | — |
Platforms count differently and update at different times.
The primary lists arm movement, grasp and release, positioning, force/torque sensing, collision detection, and simulation mode, but the accompanying card says the package lacks its declared control implementation. Do not infer that real hardware operation is safe. Consider supervised use only after the implementation is supplied and audited, workspace and force limits are configured, and an emergency stop is confirmed; until then treat it as a simulation or documentation example.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.5K | — | 3 |
| 2026-08 | 3.2K | +4.6% | 3 |
| 2026-07 | 3.1K | — | 3 |
| 2026-05 | 2.7K | — | 3 |
| 2026-03 | 2.2K | — | 3 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
# 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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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.