Bridges the gap between ROS2 and web browsers with patterns for REST APIs, WebSockets, and video streaming. Covers when to use rosbridge_suite for quick prototypes versus building a custom FastAPI or Flask bridge for production with proper auth and rate limiting. You get latency comparisons, code for streaming compressed images over WebSocket, handling the rclpy executor alongside an async web server without deadlocks, and practical advice on exposing only specific topics instead of your entire robot graph to the internet. If you're building a robot dashboard or need to pipe sensor data to a browser, this walks through the tradeoffs and gives you working examples for both the throwaway demo and the thing you'll actually deploy.
npx -y skills add arpitg1304/robotics-agent-skills --skill ros2-web-integration --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills
moizibnyousaf/ai-agent-skills
github/awesome-copilot