Claude Skills Guide

Claude Skills for Robotics ROS2 Development Workflow

Developing robotics applications with ROS2 requires managing complex build systems, hardware interfaces, and distributed architectures. Claude Code skills can significantly streamline this workflow by automating repetitive tasks, generating boilerplate code, and maintaining documentation. This guide shows you how to integrate Claude skills into your ROS2 development pipeline effectively.

Setting Up Your ROS2 Development Environment

Before incorporating Claude skills, ensure your ROS2 workspace is properly initialized. A typical ROS2 workspace structure includes your source packages, build artifacts, and installation files. When you start a new robotics project, use the workspace setup as your foundation:

mkdir -p ~/ros2_ws/src
cd ~/ros2_ws
colcon build
source install/setup.bash

With your environment ready, you can begin using Claude skills throughout the development lifecycle.

Essential Claude Skills for ROS2 Development

Several Claude skills enhance robotics development specifically. tdd skill proves invaluable when building ROS2 nodes, ensuring your implementation follows test-driven development principles. Activate it in your Claude session before writing node code:

/tdd

The skill guides you through writing tests first, then implementing the node functionality to pass those tests. This approach catches interface mismatches between your nodes early—a common pain point in ROS2 development where message types and service definitions must align across packages.

For documentation generation, the pdf skill helps create comprehensive technical documentation. Robotics projects often require detailed API documentation and hardware interface specifications. Generate clean PDFs directly from your markdown notes:

/pdf Convert docs/robot-arm-api.md to a formatted PDF and save it as docs/robot-arm-api.pdf

The supermemory skill serves as a project-specific knowledge base. Store hardware specifications, calibration parameters, and wiring diagrams within it for quick retrieval during development:

/supermemory store: Dynamixel MX-64 servo configuration: ID 1, Baud 57600, Protocol 2.0

When designing robot user interfaces or visualization dashboards, the frontend-design skill generates clean, functional interfaces for monitoring robot state and sending commands.

Automating ROS2 Package Generation

One of the most time-consuming aspects of ROS2 development is creating new packages with proper structure. While the ros2 pkg create command handles basic setup, you can enhance it with Claude skills for more sophisticated scaffolding.

Create a custom ROS2 package generator skill by placing a .md file in ~/.claude/skills/ros2-package.md. This skill can be invoked with /ros2-package to scaffold new packages that match your project conventions. This eliminates repetitive setup tasks for each new node:

# ros2-package skill
When invoked, create a new ROS2 package with:
- CMakeLists.txt with proper dependencies
- package.xml with maintainer info
- Standard node templates
- Launch file examples
- Test directory structure

After invoking the skill, your new package includes all necessary files with your preferred coding patterns already applied.

Implementing Test-Driven Development for Robots

The tdd skill integrates smoothly with ROS2 testing frameworks. When developing perception pipelines or control algorithms, write your test cases first to define expected behavior:

/tdd
Write tests for a laser scan filter node that removes readings below 0.1m and above 10m, publishing the filtered scan on /scan/filtered topic.

The skill generates appropriate gtest or pytest cases depending on your language preference. For C++ nodes, you get Google Test formatted tests; for Python nodes, pytest cases that follow ROS2 conventions.

Running tests becomes straightforward with colcon:

colcon test --packages-select your_package --event-handlers console_direct+

This test-first approach catches bugs before they manifest in live robot behavior—a critical consideration when hardware is involved.

Code Review and Documentation Workflows

Robotics codebases benefit from rigorous documentation. Use the docx skill to generate specification documents, design proposals, and technical reports. Export your markdown documentation to formatted Word documents for stakeholder reviews:

/docx
Convert architecture-design.md to a formatted Word document for stakeholder reviews.

For inline documentation within your code, maintain clear docstrings following ROS2 conventions:

def laser_scan_callback(self, msg: LaserScan) -> None:
    """Process incoming laser scan data and publish filtered results.
    
    Args:
        msg: LaserScan message from /scan topic
        
    Returns:
        None: Publishes to /scan/filtered topic
    """
    filtered_data = self.filter_ranges(msg.ranges)
    self.scan_pub.publish(filtered_data)

The tdd skill encourages comprehensive documentation during development, reducing technical debt in long-term robotics projects.

Managing Complex Hardware Configurations

Robotics projects often involve multiple hardware components with specific configurations. The supermemory skill stores and retrieves these configurations efficiently. Before starting development sessions, query your stored knowledge:

/supermemory What do you know about the camera calibration settings?

This returns previously stored calibration data, wiring notes, and driver configurations—information that typically lives scattered across README files and personal notes.

For version-controlled hardware documentation, maintain a dedicated repository with device specifications. The pdf skill can generate hardware datasheets from your notes, ensuring team members have offline access to critical specifications.

Building Visualization and UI Components

Robot operator interfaces require careful design for effective human-robot interaction. The frontend-design skill helps generate monitoring dashboards and control panels:

// Example: Robot status panel structure
const robotStatusPanel = {
  components: [
    { type: 'battery-gauge', source: '/robot_state/battery' },
    { type: 'connection-status', source: '/diagnostics' },
    { type: 'joystick', destination: '/cmd_vel' }
  ]
};

Generate these interfaces systematically rather than hand-coding each component, maintaining consistency across your development team’s tools.

Continuous Integration for ROS2 Projects

Integrate Claude skills into your CI/CD pipeline for automated quality assurance. A typical workflow includes:

# .github/workflows/ros2-ci.yml
- name: Run tests with TDD skill guidance
  run: |
    colcon test --packages-select ${{ matrix.package }}
    
- name: Generate documentation
  run: |
    pandoc docs/api.md -o build/api.pdf
    
- name: Archive artifacts
  uses: actions/upload-artifact@v4
  with:
    name: ${{ matrix.package }}-artifacts

This approach ensures documentation stays current and tests run consistently across your development workflow.

Practical Integration Example

Consider a robot arm control project. Start your session by activating relevant skills:

/tdd
/supermemory What do you know about the arm servo configuration?

Write tests defining your arm’s expected motion profiles. Implement the control node to satisfy those tests. Use frontend-design to create an operator interface for manual control. Document everything with pdf skill exports.

This integrated approach reduces context switching and maintains consistency across your entire robotics development process.

Claude skills transform ROS2 development and scattered documentation into an organized, automated workflow. By incorporating skills like tdd, pdf, supermemory, frontend-design, and docx into your robotics projects, you accelerate development cycles while maintaining code quality and comprehensive documentation.

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