This repository provides specialized "skills" in the form of SKILL.md files designed to augment AI coding assistants, enabling them to generate production-grade robotics software. It addresses the common gap where general AI models understand ROS syntax but miss critical robotics engineering nuances like Quality of Service (QoS), lifecycle management, and robust testing. The target audience is robotics engineers and researchers seeking to improve the reliability and quality of AI-generated ROS1/ROS2 code.

How It Works

The project's core approach involves creating structured, context-rich SKILL.md files that AI agents can ingest. These files encapsulate best practices, design patterns (SOLID, fail-safe defaults), and specific robotics failure modes (e.g., QoS mismatches, unsafe shutdowns). By providing this domain-specific knowledge, the skills guide AI agents to produce safer nodes, correctly configure QoS settings, implement lifecycle patterns, and generate comprehensive tests, significantly enhancing the output compared to using the agent without these specialized skills.

Quick Start & Requirements

To install, clone the repository and run the provided install.sh script, targeting your AI agent's skill directory (e.g., ~/.claude/skills/). Alternatively, skills can be manually copied.

git clone https://github.com/arpitg1304/robotics-agent-skills.git
cd robotics-agent-skills
./install.sh --target /path/to/your/robot/.claude/skills --skills ros2 robotics-testing robot-bringup

No non-default prerequisites are explicitly listed beyond the need for a compatible AI agent framework (e.g., Claude Code, Cursor, Copilot) and a ROS development environment.

Highlighted Details

• Comprehensive support for both ROS1 and ROS2 development, including middleware specifics, design patterns, and security.
• Detailed skills cover perception systems, Docker integration for ROS2, web interfaces, system bringup, and robust testing strategies.
• Evaluations demonstrate substantial improvements in generated code architecture, QoS handling, sensor management, and test coverage when skills are applied.
• Offers curated bundles for common use cases like "ROS2 application," "Production robot," and "Robot perception."

Maintenance & Community

The repository outlines a roadmap for future high-impact skills, including navigation, manipulation, control, and simulation. Specific details on active contributors, community channels (like Discord/Slack), or sponsorships are not provided in the README.

Licensing & Compatibility

The license type and any compatibility notes for commercial use or closed-source linking are not explicitly stated in the provided README content.

Limitations & Caveats

The effectiveness of these skills is dependent on the AI agent's ability to correctly interpret and apply the provided SKILL.md context. The license and commercial use terms require clarification. Several advanced robotics domains, such as navigation and manipulation, are planned for future development rather than being immediately available.