Translate natural-language commands into JSON-backed ROS 2 actions.
npx skills add https://github.com/adityakamath/ros2-skill --skill ros2-skill
Please help me install this Agent Skill. Skill: ros2-skill Source: https://github.com/adityakamath/ros2-skill/tree/main Command: npx skills add https://github.com/adityakamath/ros2-skill --skill ros2-skill
AI agents require a natural way to interact with ROS 2 systems; ros2-skill enables these agents to control ROS 2 robots through natural-language commands by translating intents into ROS 2 CLI actions and returning JSON outputs.
Ask your AI to perform an action like listing topics or moving the robot; the skill will translate it into ROS 2 commands and return JSON results.
High-intent search queries and answers about installing and using this skill.
You can control ROS 2 robots by loading the skill into your AI agent, which translates natural language commands into ros2_cli.py invocations and returns structured JSON results for each operation.
AI agents can manage ROS 2 topics, services, nodes, parameters, and actions, enabling tasks like listing topics, publishing velocity, calling services, or monitoring sensor data.
You can integrate NLP with rclpy by loading the skill's SKILL.md into your agent's system prompt, allowing it to dynamically translate intents into rclpy-backed ROS 2 CLI actions in-context.
Yes, rclpy is a required dependency, as the skill relies on it to translate natural language intents into executable ros2_cli.py actions and return structured JSON outputs.
When an AI agent queries ROS 2 topics or monitors sensors, the skill translates the request into a CLI action and returns the operation results as structured JSON data.
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