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Skill267 estrellas del repoactualizado 18d ago

ros2-development

This Claude Code skill provides comprehensive guidance for developing Robot Operating System 2 (ROS2) applications in Python and C++. Use it when building ROS2 packages, nodes, and frameworks, configuring middleware and Quality of Service profiles, defining custom messages and services, implementing managed nodes, working with specialized frameworks like Nav2 and MoveIt2, debugging connectivity and build issues, or setting up production deployments and CI/CD pipelines for robotics systems.

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git clone --depth 1 https://github.com/arpitg1304/robotics-agent-skills /tmp/ros2-development && cp -r /tmp/ros2-development/skills/ros2 ~/.claude/skills/ros2-development
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SKILL.md

# ROS2 Development Skill

## When to Use This Skill
- Building ROS2 packages, nodes, or component containers
- Setting up colcon workspaces, ament_cmake, or ament_python packages
- Writing CMakeLists.txt, package.xml, or setup.py for ROS2
- Defining custom messages, services, or actions
- Writing Python launch files with conditional logic
- Configuring DDS middleware and QoS profiles
- Implementing lifecycle (managed) nodes
- Working with Nav2, MoveIt2, or other ROS2 frameworks
- Debugging DDS discovery, QoS mismatches, or build failures
- Deploying ROS2 to production or embedded systems (micro-ROS)
- Setting up CI/CD for ROS2 packages

## Core Architecture

### 1. Node Design Patterns

**Basic Node (rclpy)**:
```python
#!/usr/bin/env python3
import rclpy
from rclpy.node import Node
from rclpy.qos import QoSProfile, ReliabilityPolicy, HistoryPolicy
from std_msgs.msg import String

class PerceptionNode(Node):
    def __init__(self):
        super().__init__('perception_node')

        # 1. Declare parameters with types and descriptions
        self.declare_parameter('rate_hz', 30.0,
            descriptor=ParameterDescriptor(
                description='Processing rate in Hz',
                floating_point_range=[FloatingPointRange(
                    from_value=1.0, to_value=120.0, step=0.0
                )]
            ))
        self.declare_parameter('confidence_threshold', 0.7)
        self.declare_parameter('frame_id', 'camera_link')

        # 2. Read parameters
        rate_hz = self.get_parameter('rate_hz').value
        self.threshold = self.get_parameter('confidence_threshold').value
        self.frame_id = self.get_parameter('frame_id').value

        # 3. Set up QoS profiles
        sensor_qos = QoSProfile(
            reliability=ReliabilityPolicy.BEST_EFFORT,
            history=HistoryPolicy.KEEP_LAST,
            depth=1
        )
        reliable_qos = QoSProfile(
            reliability=ReliabilityPolicy.RELIABLE,
            history=HistoryPolicy.KEEP_LAST,
            depth=10
        )

        # 4. Publishers first, then subscribers
        self.det_pub = self.create_publisher(
            DetectionArray, 'detections', reliable_qos)

        self.image_sub = self.create_subscription(
            Image, 'camera/image_raw', self.image_callback, sensor_qos)

        # 5. Timers for periodic work
        self.timer = self.create_timer(1.0 / rate_hz, self.timer_callback)

        # 6. Parameter change callback
        self.add_on_set_parameters_callback(self.param_callback)

        self.get_logger().info(
            f'Perception node started at {rate_hz}Hz, '
            f'threshold={self.threshold}')

    def param_callback(self, params):
        """Handle runtime parameter changes (replaces dynamic_reconfigure)"""
        for param in params:
            if param.name == 'confidence_threshold':
                self.threshold = param.value
                self.get_logger().info(f'Threshold updated to {param.value}')
        return SetParametersResult(successful=True)

    def image_callback(self, msg):
        # Process incoming images
        pass

    def timer_callback(self):
        # Periodic work
        pass

def main(args=None):
    rclpy.init(args=args)
    node = PerceptionNode()
    try:
        rclpy.spin(node)
    except KeyboardInterrupt:
        pass
    finally:
        node.destroy_node()
        rclpy.shutdown()

if __name__ == '__main__':
    main()
```

**Basic Node (rclcpp)**:
```cpp
#include <rclcpp/rclcpp.hpp>
#include <sensor_msgs/msg/image.hpp>
#include <vision_msgs/msg/detection2_d.hpp>
#include <memory>

class PerceptionNode : public rclcpp::Node {
public:
    PerceptionNode() : Node("perception_node") {
        // Declare and get parameters
        this->declare_parameter("rate_hz", 30.0);
        this->declare_parameter("confidence_threshold", 0.7);
        double rate_hz = this->get_parameter("rate_hz").as_double();

        // QoS
        auto sensor_qos = rclcpp::SensorDataQoS();
        auto reliable_qos = rclcpp::QoS(10).reliable();

        // Publishers and subscribers
        det_pub_ = this->create_publisher<vision_msgs::msg::Detection2D>("detections", reliable_qos);
        image_sub_ = this->create_subscription<sensor_msgs::msg::Image>(
            "camera/image_raw", sensor_qos, [this](const std::shared_ptr<const sensor_msgs::msg::Image>& msg){
                this->image_callback(msg);
            });

        timer_ = this->create_wall_timer(
            std::chrono::milliseconds(static_cast<int>(1000.0 / rate_hz)),
            [this](){ this->timer_callback(); });

        RCLCPP_INFO(this->get_logger(), "Perception node started at %.1fHz", rate_hz);
    }

private:
    void image_callback(const std::shared_ptr<const sensor_msgs::msg::Image>& msg) {
        // Use shared_ptr for zero-copy potential
    }
    void timer_callback() {}

    rclcpp::Publisher<vision_msgs::msg::Detection2D>::SharedPtr det_pub_;
    rclcpp::Subscription<sensor_msgs::msg::Image>::SharedPtr image_sub_;
    rclcpp::TimerBase::SharedPtr timer_;
};

int main(int argc, char** argv) {
    rclcpp::init(argc, argv);
    rclcpp::spin(std::make_shared<PerceptionNode>());
    rclcpp::shutdown();
    return 0;
}
```

### 2. Lifecycle (Managed) Nodes

Use lifecycle nodes for production systems where you need deterministic startup, shutdown, and error recovery. This is one of ROS2's most important features over ROS1.

**State Machine**: `Unconfigured → Inactive → Active → Finalized`

```python
from rclpy.lifecycle import Node as LifecycleNode, TransitionCallbackReturn

class ManagedPerception(LifecycleNode):
    def __init__(self):
        super().__init__('managed_perception')
        self.get_logger().info('Node created (unconfigured)')

    def on_configure(self, state) -> TransitionCallbackReturn:
        """Load params, allocate memory, set up pubs/subs (but don't activate)"""
        self.declare_parameter('model_path', '')
        model_path = self.g