Build production computer vision pipelines for object detection, tracking, and video analysis. Handles drone footage, wildlife monitoring, and real-time detection. Supports YOLO, Detectron2, TensorFlow, PyTorch. Use for archaeological surveys, conservation, security. Activate on "object detection", "video analysis", "YOLO", "tracking", "drone footage". NOT for simple image filters, photo editing, or face recognition APIs.
Quickly install computer-vision-pipeline AI skill to your development environment via command line
Source: curiositech/some_claude_skills.
Expert in building production-ready computer vision systems for object detection, tracking, and video analysis.
| Model | Speed (FPS) | Accuracy (mAP) | Use Case |
| YOLOv8 | 140 | 53.9% | Real-time detection | | Detectron2 | 25 | 58.7% | High accuracy, research | | EfficientDet | 35 | 55.1% | Mobile deployment | | Faster R-CNN | 10 | 42.0% | Legacy systems |
Build production computer vision pipelines for object detection, tracking, and video analysis. Handles drone footage, wildlife monitoring, and real-time detection. Supports YOLO, Detectron2, TensorFlow, PyTorch. Use for archaeological surveys, conservation, security. Activate on "object detection", "video analysis", "YOLO", "tracking", "drone footage". NOT for simple image filters, photo editing, or face recognition APIs. Source: curiositech/some_claude_skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/curiositech/some_claude_skills --skill computer-vision-pipelineBuild production computer vision pipelines for object detection, tracking, and video analysis. Handles drone footage, wildlife monitoring, and real-time detection. Supports YOLO, Detectron2, TensorFlow, PyTorch. Use for archaeological surveys, conservation, security. Activate on "object detection", "video analysis", "YOLO", "tracking", "drone footage". NOT for simple image filters, photo editing, or face recognition APIs. Source: curiositech/some_claude_skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/curiositech/some_claude_skills --skill computer-vision-pipeline Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/curiositech/some_claude_skills