ros2_control Skill

SkillDev tools

Hardware abstraction and controller management using ros2_control framework

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the ros2_control Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/robotics-simulation/skills/ros2-control/SKILL.md and read by ahel’s review.

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

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: ros2-control-skill
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter