by dbwls99706 · Codex Skill · ★ 59
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ros2-engineering-skills Agent skill for production-grade ROS 2 development — from first workspace to fleet deployment. Works with Claude Code, Codex, Cursor, Gemini CLI, and any agent supporting the Agent Skills standard. What this is A -based knowledge module that gives AI coding agents deep ROS 2 engineering expertise. Instead of a shallow cheat sheet, it provides: Decision frameworks — when to use rclcpp vs rclpy, which QoS profile, lifecycle vs plain node Progressive disclosure — compact routing in , detailed patterns in Full spectrum — workspace setup through real-time tuning, Nav2, MoveIt 2, ros2control, DDS configuration, cross-compilation, and CI/CD Distro-aware — explicit Humble / Jazzy / Kilted / Rolling differences with migration paths Anti-pattern documentation — what breaks in production and why How it differs from existing ROS 2 skills No
| Stars | 59 |
| Forks | 6 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 57.508/100 |
| Last Updated | 2026-04-29 |
| Created | 2026-03-16 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~45k |
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ros2-engineering-skills is Agent skill for production-grade ROS 2 development. Progressive-disclosure SKILL.md covering workspace, nodes, executors, QoS, ros2_control, Nav2, MoveIt 2, real-time, and deployment. Works with Claud. It is categorized as a Codex Skill with 59 GitHub stars.
ros2-engineering-skills is primarily written in Python. It covers topics such as agent-skill, claude, claude-code.
You can find installation instructions and usage details in the ros2-engineering-skills GitHub repository at github.com/dbwls99706/ros2-engineering-skills. The project has 59 stars and 6 forks, indicating an active community.
ros2-engineering-skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to ros2-engineering-skills on Agent Skills Hub include shodh-memory, Mck-ppt-design-skill, skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.