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Step-by-step ROS 2 Humble Hawksbill guidance for the Humanoid AI Studio curriculum. Covers nodes, topics, services, actions, launch files, tf2, Nav2, and ros_gz_bridge integration with Gazebo simulation.
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Based on SOC occupation classification
Walks learners through robotics Python, YAML, SDF, and launch file code in the Humanoid AI Studio curriculum. Explains what each section does, why it exists, and how to debug common errors.
Generates a personalized version of any curriculum chapter adapted to the learner's skill level, professional background, and language preference. Uses the learner's profile from Neon Postgres combined with Qdrant-retrieved chapter content.
Retrieval-Augmented Generation tutor that answers learner questions using Qdrant vector search over the Humanoid AI Studio curriculum. Grounds every answer in the course content before generating a response via Google Gemini.
Translates Humanoid AI Studio curriculum content to Urdu (RTL) or other supported languages. Code blocks, ROS 2 package names, topic names, and CLI commands are always preserved in English.
Detects bugs in Better Auth + OAuth 2.1 PKCE login flows. Use this skill when the user reports login failures, "page not found" on auth routes, sign-up/sign-in not working, token issues, or CORS/session errors in a Better Auth + Docusaurus + FastAPI stack. Runs a static analysis script and matches symptoms against a curated bug reference.
Performs comprehensive frontend runtime verification including dev server status, dependency integrity, error scanning, asset validation, routing checks, and automatic fixes for common issues.
| name | ros2-guide |
| description | Step-by-step ROS 2 Humble Hawksbill guidance for the Humanoid AI Studio curriculum. Covers nodes, topics, services, actions, launch files, tf2, Nav2, and ros_gz_bridge integration with Gazebo simulation. |
| license | MIT |
| allowed-tools | qdrant_search gemini_generate |
| metadata | {"author":"Ayesha Khalid","version":"1.0.0","category":"education","domain":"robotics","ros_distro":"humble","python_version":"3.10+","platform":"ubuntu-22.04"} |
Provide accurate, runnable ROS 2 Humble guidance grounded in the Humanoid AI Studio curriculum. Every code example must be executable in the Standard Testing Environment (Ubuntu 22.04 + ROS 2 Humble Hawksbill).
ros2 topic echo command)Always prefix with:
source /opt/ros/humble/setup.bash
| Topic | Module | Lessons |
|---|---|---|
| ROS 2 workspace setup | Module 1 | Lesson 1 |
| Publishers & Subscribers | Module 1 | Lesson 2 |
| Services & Clients | Module 1 | Lesson 3 |
| Launch files | Module 1 | Lesson 4 |
| tf2 transforms | Module 1 | Lesson 5 |
| Nav2 navigation stack | Module 1 | Lesson 6+ |
| Gazebo world creation | Module 2 | Lesson 1 |
| SDF robot models | Module 2 | Lesson 2 |
| ros_gz_bridge setup | Module 2 | Lesson 3 |
| Sensor simulation | Module 2 | Lesson 4 |
| Isaac Sim + Isaac ROS | Module 3 | All lessons |
| VLA model integration | Module 4 | All lessons |
# Source ROS 2
source /opt/ros/humble/setup.bash
# Create a package
ros2 pkg create --build-type ament_python <package_name>
# Build
cd ~/ros2_ws && colcon build --symlink-install
# Run a node
ros2 run <package_name> <node_name>
# List topics
ros2 topic list
# Echo a topic
ros2 topic echo /topic_name
# Launch file
ros2 launch <package_name> <launch_file.py>
source /opt/ros/humble/setup.bash before any ROS 2 command