Agent-Skills.md

Agent Skills: Robotics & Physical AI Domain Knowledge

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

UncategorizedID: aiskillstore/marketplace/robotics-subject-expert

Repository

aiskillstore/marketplace
aiskillstore
23014

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pnpm dlx add-skill https://github.com/aiskillstore/marketplace/tree/HEAD/skills/abdulsamad94/robotics-subject-expert

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

Skill Metadata

Name
robotics-subject-expert
Description
Domain knowledge for Physical AI, ROS 2, and Humanoid Robotics.

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.