ros2_control Skill

Hardware abstraction and controller management using ros2_control framework

509 stars

Best use case

ros2_control Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Hardware abstraction and controller management using ros2_control framework

Teams using ros2_control Skill should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/ros2-control/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/robotics-simulation/skills/ros2-control/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/ros2-control/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How ros2_control Skill Compares

Feature / Agentros2_control SkillStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Hardware abstraction and controller management using ros2_control framework

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# ros2_control Skill

## Overview

Expert skill for configuring the ros2_control framework for hardware abstraction, controller management, and real-time robot control.

## Capabilities

- Configure hardware interfaces (GPIO, system, actuator, sensor)
- Set up controller manager and controller lifecycle
- Implement position, velocity, and effort controllers
- Configure joint trajectory controller
- Set up diff_drive and ackermann controllers
- Implement custom hardware interfaces
- Configure transmission interfaces
- Set up joint limits and saturation
- Implement combined robot controllers
- Debug controller loading and activation

## Target Processes

- robot-system-design.js
- mpc-controller-design.js
- moveit-manipulation-planning.js
- robot-bring-up.js

## Dependencies

- ros2_control
- ros2_controllers
- hardware_interface

## Usage Context

This skill is invoked when processes require hardware abstraction layer setup, controller configuration, or real-time control system integration.

## Output Artifacts

- Hardware interface configurations
- Controller YAML parameters
- URDF ros2_control tags
- Custom hardware interface code
- Controller launch files
- Transmission configurations

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