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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 Claude Code, Codex, Cursor, Gemini CLI.

10
3
100% credibility
Found Mar 19, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A collection of expert knowledge, templates, and validation tools that empowers AI coding assistants to generate production-grade robotics software following ROS 2 best practices.

How It Works

1
🔍 Discover the Robot Software Guide

You're excited to build smart robot programs using your AI coding helper and find this special guide that makes it expert-level.

2
📥 Add the Guide to Your AI Helper

With a simple copy or link, you connect this guide to tools like your AI chat or coding app, so it knows all the pro tips.

3
💬 Ask Your AI for Robot Help

You tell your AI helper what robot feature you need, like a moving arm or sensor reader, and it uses the guide to create perfect code.

4
🔧 Check and Polish Your Code

Use the handy checkers to spot any issues in connections or setups, making sure everything matches perfectly.

5
Run Your Robot Software

Your programs start up smoothly, with reliable communication and no surprises, just like pro engineers build.

🎉 Enjoy Reliable Robot Magic

Your robot behaves predictably in real tests, ready for teams or products, thanks to the smart guide.

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Star Growth

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AI-Generated Review

What is ros2-engineering-skills?

This Python-based agent skills repo equips AI coding agents—like those in Claude Code, Cursor, GitHub Copilot for VSCode or IntelliJ, Codex from OpenAI, or Gemini CLI—with production-grade ROS 2 expertise. Plug it into any agent supporting the Agent Skills io standard, and it delivers decision frameworks for workspaces, nodes, QoS profiles, ros2_control, Nav2, MoveIt 2, real-time tuning, and fleet deployment. Developers get anti-pattern warnings, distro-specific advice (Humble to Rolling), and utilities like package scaffolding, launch validation, and QoS compatibility checks.

Why is it gaining traction?

Unlike basic ROS 2 cheat sheets, it offers progressive disclosure: compact entry points expanding to detailed patterns on DDS vendors, security, micro-ROS, and CI/CD—complete with troubleshooting tables. Agent GitHub actions and Copilot Reddit threads highlight its edge in generating tested, deployable code via agent skills library examples from Anthropic or Microsoft. High test coverage and eval configs ensure reliable outputs in agent skills marketplace integrations.

Who should use this?

ROS 2 engineers building real robots—hardware interface devs chaining controllers, Nav2 integrators tuning costmaps, or fleet operators handling DDS discovery at scale. Ideal for teams using agent GitHub Copilot in IntelliJ, Cursor for manipulation pipelines, or Claude Code for sim-to-real transfers, especially if you're migrating from ROS 1 or targeting embedded/real-time.

Verdict

Solid pick for serious ROS 2 work despite 10 stars and 1.0% credibility score—99% code coverage, 137 tests, and polished docs signal maturity beyond the numbers. Pair it with your agent GitHub repo workflow if production reliability matters; skip if you're just prototyping.

(198 words)

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