CHO YEON JIN
Community@three1324
CHO YEON JIN provides 100+ ROS2/Nav2 robotics engineering skills covering navigation, SLAM, perception, simulation, security, and Clean Architecture scaffolding.
Agent Skills by CHO YEON JIN
Showing 96 vetted skills indexed across 1 GitHub repositories.
three1324dwb-critics
Configure DWB local planner critic plugins for ROS2 trajectory scoring.
three1324ROS2 Launch & Configuration
Creates modular Python launch files and YAML parameter configurations for ROS2 nodes.
three1324lidar-odometry
Configure lidar-based ego-motion estimation using rf2o_laser_odometry or KISS-ICP in ROS 2.
three1324ros2-web-integration
Integrate ROS2 systems with web technologies using rosbridge, FastAPI, Flask, and WebSocket bridges.
three1324vda5050_integration
Bridge VDA 5050 fleet-control protocol onto Nav 2 using Clean Architecture layers.
three1324ROS2 Diagnostics
Implements ROS2 diagnostic_updater health monitoring within Clean Architecture layers.
three1324costmap-filters
Configure Nav2 costmap filters for keepout zones, speed limits, and binary region triggers.
three1324backup-behavior
Configure Nav2 BackUp recovery behavior for reverse motion when robots are stuck.
three1324ekf-sensor-fusion
Configure robot_localization EKF to fuse odometry, IMU, and GPS sensor data.
three1324amcl-tuning
Tune AMCL particle filter parameters for ROS2 Nav2 robot localization.
three1324mapping-best-practices
Guides SLAM mapping runs with driving, sensor, and map cleanup practices.
three1324robotics-security
Harden ROS2 robot systems with SROS2 encryption, network segmentation, and safety isolation.
three1324regulated-pure-pursuit
Configure Nav2 Regulated Pure Pursuit controller parameters for path tracking.
three1324ros2-engineering-skills
Provides API reference patterns and code templates for ROS 2 development.
three1324ros2_control_hardware_interface
Scaffolds ros2_control hardware interface plugins with URDF wiring, controllers.yaml, and launch bringup.
three1324new_nav2_plugin
Scaffolds Nav 2 plugins with pluginlib registration, lifecycle parameters, and integration tests.
three1324lidar-filtering
Configure laser_filters chains to clean LaserScan data for ROS2 robots.
three1324nav2-simple-commander
Sends navigation goals and monitors Nav2 tasks through the BasicNavigator Python API.
three1324keepout-zones
Configure Nav2 keepout zones using PGM filter masks and costmap plugins.
three1324obstacle-layer
Configure Nav2 obstacle layer parameters for laser and pointcloud obstacle marking and clearing.
three1324new_ros2_package
Scaffolds ROS 2 packages with a Clean Architecture directory layout in colcon workspaces.
three1324voxel-layer
Configure Nav2 VoxelLayer for 3D obstacle detection with depth cameras and lidar.
three1324nav2_planners
Configure and tune Nav2 global planner plugins for ROS2 robot navigation.
three1324localization-recovery
Diagnose and recover AMCL localization failures in ROS2 Nav2 robots.
Frequently Asked Questions About CHO YEON JIN
FAQPage SchemaWhat tasks can I accomplish with three1324's robotics skills?▼
You can scaffold ROS2 packages, nodes, lifecycle nodes, and ros2_control hardware interfaces; configure Nav2 planners, controllers, costmap layers, and behavior trees; tune SLAM Toolbox, AMCL, and EKF/UKF sensor fusion; process LiDAR and depth-camera data; and build gz-sim plugins, Docker-based deployments, and systemd robot bringup.
Who are these ROS2 and Nav2 skills designed for?▼
Robotics software engineers, autonomy developers, and fleet integrators working with ROS2 Humble/Iron/Jazzy, Nav2, MoveIt2, Gazebo, and ros2_control. They suit practitioners building mobile robots, AMRs, perception pipelines, or VDA 5050 fleet bridges who want Clean Architecture-compliant, production-grade code patterns.
How do I install and run these skills in practice?▼
Clone the repository and place the skill folders into your agent's skills directory (e.g., .claude/skills). Skills trigger automatically on ROS2, Nav2, colcon, DDS, or Gazebo mentions. Runtime requires a ROS2 workspace with colcon, and some skills expect bash, git, Docker, or yt-dlp/ffmpeg for the video skill.
Are these robotics skills open source and free to use?▼
The skills are published in a public GitHub repository under three1324 and are free to inspect and reuse. The bundled 'watch' skill explicitly carries an MIT license; other skills carry no stated license, so verify repository terms before commercial redistribution.
What prerequisites and dependencies do these skills require?▼
A working ROS2 installation (Humble, Iron, or Jazzy) with colcon, ament_cmake/ament_python, and Nav2 is the core requirement. Specific skills need Gazebo/gz-sim, Docker with NVIDIA Container Toolkit, BehaviorTree.CPP, ros2_control, SROS2 keystores, or MQTT brokers for VDA 5050 integration.