processing-computer-vision-tasks

## Overview This skill empowers Claude to leverage the computer-vision-processor plugin to analyze images, detect objects, and extract meaningful information. It automates computer vision workflows, optimizes performance, and provides detailed insights based on image content. ## How It Works 1. **Analyzing the Request**: Claude identifies the need for computer vision processing based on the user's request and trigger terms. 2. **Generating Code**: Claude generates the appropriate Python code to interact with the computer-vision-processor plugin, specifying the desired analysis type (e.g., object detection, image classification). 3. **Executing the Task**: The generated code is executed using the `/process-vision` command, which processes the image and returns the results. ## When to Use This Skill This skill activates when you need to: - Analyze an image for specific objects or features. - Classify an image into predefined categories. - Segment an image to identify different regions or objects. ## Examples ### Example 1: Object Detection User request: "Analyze this image and identify all the cars and pedestrians." The skill will: 1. Generate code to perform object detection on the provided image using the computer-vision-processor plugin. 2. Return a list of bounding boxes and labels for each detected car and pedestrian. ### Example 2: Image Classification User request: "Classify this image. Is it a cat or a dog?" The skill will: 1. Generate code to perform image ...