ros2_control Skill
Hardware abstraction and controller management using ros2_control framework
npx skills add a5c-ai/babysitter --skill ros2-control --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Overview
- Capabilities
- Target Processes
- Dependencies
- Usage Context
- Output Artifacts
What does the ros2_control Skill skill do?
Hardware abstraction and controller management using ros2_control framework
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill ros2-control --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.