Point Cloud Processing Skill

This skill provides deep learning models for object detection and segmentation in robotics, including YOLO, Detectron2, and 3D detection implementations. It enables real-time performance with TensorRT optimization and integrates with ROS vision pipelines. Use it when you need to deploy or optimize perception models for robotic systems requiring object identification and tracking.

This skill provides specialized computer vision capabilities for robotics, including camera calibration, feature detection/tracking, and stereo vision processing. Developers should use it for implementing visual perception pipelines like visual servoing, SLAM, or sensor calibration tasks. It supports key tools like OpenCV for markers, optical flow, and depth estimation from stereo imagery.

This skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.

This skill enables developers to build applications with the Polymarket prediction markets platform, including API integration for trading and market data. It also provides real-time data streaming via WebSocket to monitor live trades and market activity. Use it for implementing trading strategies or creating tools that process live market updates.