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.
WHAT YOU BECOME
Perfect for these scenarios
Extract insights and citations from academic papers stored in NotebookLM.
Generate concise summaries with source links from meeting transcripts.
Quickly find code examples and API references from dev notebooks.
Search legal texts for precedents with accurate citations.
MEASURED GAIN
Proven benefits and measurable impact
Find answers faster with direct NotebookLM integration.
Source-grounded responses eliminate AI-generated inaccuracies.
Seamless workflow between Claude Code and NotebookLM.
WHAT YOU GET
Files, tags and the three-step install
Tip: Read the documentation and the code before first use, so you know what it does and which permissions it needs.
NEXT SCRIPTS
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