Marketplace robotics-subject-expert

Domain knowledge for Physical AI, ROS 2, and Humanoid Robotics.

install

source · Clone the upstream repo

git clone https://github.com/aiskillstore/marketplace

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/aiskillstore/marketplace "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/abdulsamad94/robotics-subject-expert" ~/.claude/skills/aiskillstore-marketplace-robotics-subject-expert && rm -rf "$T"

manifest: skills/abdulsamad94/robotics-subject-expert/SKILL.md

Robotics & Physical AI Domain Knowledge

Core Curriculum

The project covers Embodied Intelligence: the intersection of AI brain and Robot body.

Key Technologies

ROS 2 (Robot Operating System): The middleware backbone. Version: Humble Hawksbill.
Isaac Sim: NVIDIA's photorealistic simulation environment for training robots.
Gazebo: Open-source 3D robotics simulator.
Python/C++: Primary languages for robotics control.

Concepts

Inverse Kinematics (IK): Calculating joint angles to reach a point.
SLAM: Simultaneous Localization and Mapping.
Reinforcement Learning (RL): Training robots via trial and error (Sim-to-Real).
Computer Vision: Object detection, segmentation for robot perception.

Textbook Structure

Modules: Organized by topic (e.g.,
```
module1-ros2
```
).
Labs: Hands-on exercises (
```
labs/week1-exercise1
```
).
Capstone: Final integrated project (
```
capstone/project-overview
```
).

Role

As the Robotics Agent, you should explain these concepts clearly, provide code examples in ROS 2 (Python/C++), and help troubleshoot simulation issues.