leehyunbin0131/claude-ros2-skills — explained in plain English
Analysis updated 2026-07-26
Help Claude Code generate ROS 2 Jazzy code that runs without runtime errors.
Verify AI-written robot code against a live ROS 2 installation before deployment.
Reduce broken publisher and subscriber pairs caused by mismatched communication settings.
Test generated robotics code in a Gazebo simulation environment.
| leehyunbin0131/claude-ros2-skills | aim-uofa/reasonmatch | airbone42/360-data-athlete | |
|---|---|---|---|
| Stars | 12 | 12 | 12 |
| Language | Python | Python | Python |
| Setup difficulty | moderate | hard | hard |
| Complexity | 3/5 | 5/5 | 4/5 |
| Audience | developer | researcher | general |
Figures from each repo's GitHub metadata at analysis time.
Requires ROS 2 Jazzy Jalisco installed on Ubuntu 24.04, plus a Gazebo simulation for full verification workflows.
This repository provides a set of skills for Claude Code, an AI coding assistant, to help it work more reliably with ROS 2 Jazzy Jalisco. ROS 2 is a robotics framework used to build robot software, and Jazzy is a specific version of it. The skills are designed to prevent common mistakes that happen when AI generates robotics code. The README is written for developers who already use AI assistants to write robot code and want fewer broken results. The main problem the project addresses is that AI often writes code that looks correct but fails at runtime. For example, a subscriber and publisher might use incompatible communication settings, or the robot moves backward because a coordinate frame is inverted. These issues pass code review and compile without errors, but the robot behaves incorrectly. The skills add a protocol that makes the AI identify missing information, verify assumptions against the installed system, and prove the code actually ran before declaring the task complete. The repository contains 11 skills, a 28-line always-loaded protocol, 32 documentation links checked by continuous integration, 4 physical robot verification scripts, and evaluation results comparing performance with and without the skills. The skills follow a three-step loop: inspect the system, write incremental changes, and confirm execution through observed evidence. The project targets ROS 2 Jazzy on Ubuntu 24.04 only, rather than claiming support for multiple versions. The evaluation section reports results from A/B tests where the same prompt was run with and without the skills in fresh Claude Code sessions. Outputs were checked against pinned upstream sources, a live ROS 2 installation, and a live Gazebo simulation, and then executed against running publishers. Most tests had a sample size of one, which the README acknowledges openly. One task was repeated 13 times and that repetition retracted a conclusion the single run had supported, so the write-up keeps both the claim and the retraction. The full README is longer than what was shown.
Skills for the Claude Code AI assistant that help it write robot software for ROS 2 Jazzy without common runtime mistakes like inverted coordinates or broken communication settings.
Mainly Python. The stack also includes Python, ROS 2 Jazzy, Ubuntu 24.04.
The explanation does not mention the license, so the terms of use are unknown.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.