World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.
5.1
Rating
0
Installs
Machine Learning
Category
This skill uses a generic senior engineer template that does not match its stated computer vision specialization. The description promises expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers for tasks like object detection and segmentation, but SKILL.md provides only boilerplate content about 'world-class senior professional' responsibilities without concrete computer vision guidance. The structure is clear and references external files appropriately, but the content lacks specificity: the tech stack lists generic ML tools rather than CV-specific ones (no OpenCV, YOLO, SAM mentioned), code examples are placeholder commands unrelated to vision tasks, and performance targets (latency/throughput) are generic service metrics not vision-specific. While the referenced .md files may contain relevant CV content, the main SKILL.md fails to provide actionable computer vision knowledge a CLI agent could use for invocation. Novelty is low because standard CV libraries and pre-trained models can handle most described tasks without requiring a specialized skill wrapper.
davila7
Skill Author
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