docusaurus-style
Provides comprehensive guidelines for writing and formatting MDX content, frontmatter, and Docusaurus-specific components for the Physical AI & Humanoid Robotics textbook.
exercise-patterns
Structure for creating hands-on exercises in the Physical AI textbook.
frontend-architect
Build production-grade UI/UX with React (Next.js, Docusaurus), CSS architecture (Tailwind, Modules, Global), animations, theming, performance optimization, state management, and testing. Use when creating React components, building layouts, refactoring CSS, implementing animations, auditing accessibility, optimizing performance, setting up state management, or writing component tests.
isaac-patterns
NVIDIA Isaac Sim and Isaac ROS integration patterns for Physical AI applications.
ros2-code-example-writer
Generate working Python/rclpy code examples for Physical AI & Humanoid Robotics textbook with tier-specific variants (Simulation/Jetson/Robot).
ros2-standards
Authoritative guidelines for writing production-grade ROS 2 (Humble) Python 3.11+ code (leveraging 3.12+ features where compatible) for Physical AI applications.
sim-to-real
Provides guidelines and principles for bridging the gap between simulated robotics environments and real-world hardware deployment in Physical AI.
vla-patterns
Vision-Language-Action model integration patterns for cognitive robotics with ROS 2.