Works with
Senior Computer Vision
Computer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment with ONNX/TensorRT. Includes PyTorch, torchvision, Ultralytics, Detectron2, and MMDetection frameworks. Use when building detection pipelines, training custom models, optimizing infer
Optimized workflow
This edition turns the source methodology into a repeatable agent workflow with explicit inputs, checkpoints and deliverables.
Quality standard
- Confirm scope and missing inputs before execution
- Ground decisions in available evidence and preserve source constraints
- Return an actionable result with assumptions, risks and next steps
Agent compatibility
The same core method is packaged for Claude, Codex, GPT, Gemini, Cursor and OpenCode.
Permissions & security
Source verified · conversion tested · security signals reviewed