How does Claude interact with the vision plugin?

Claude identifies the user's intent, generates the necessary Python code to handle the image, and executes it using the /process-vision command.

Can I use this for custom image datasets?

Yes, you can provide specific images and ask Claude to perform analysis, identify features, or classify them based on your unique requirements.

Is performance optimization handled automatically?

The skill includes best practices for performance, helping Claude choose the most efficient techniques and parameters for the specific visual task requested.

What core computer vision tasks can this skill perform?

This skill supports object detection (finding items), image classification (categorizing images), and image segmentation (mapping specific regions).

What are the trigger terms for this skill?

You can activate it by asking Claude to 'analyze image', 'perform object detection', 'classify this image', or simply by providing an image and asking for insights.

Computer Vision Processor

Name: Computer Vision Processor
Author: jeremylongshore

byjeremylongshore

•

883

Data Science & ML

Analyzes and processes visual data using advanced computer vision techniques like object detection, image classification, and segmentation.

About

The Computer Vision Processor skill empowers Claude to interpret and extract meaningful data from images directly within your development workflow. By leveraging a specialized plugin, it automates the generation of Python code to perform complex visual tasks such as identifying specific objects, categorizing images into predefined classes, and segmenting regions of interest. This skill is essential for developers building AI-driven media applications, automated quality control systems, or any project requiring deep visual intelligence and automated metadata extraction.

Key Features

Automated Python code generation for custom vision workflows
Detailed image segmentation to identify specific regions or features
Seamless execution via the dedicated /process-vision command
Precise object detection with bounding box and label generation
High-confidence image classification for automated tagging
883 GitHub stars

Use Cases

Extracting spatial data and visual insights from raw imagery for research
Identifying and counting specific objects like vehicles or pedestrians in datasets
Classifying large volumes of images for content moderation or organization

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills computer-vision-processor

For use in Claude.ai and ChatGPT

Download Skill

GitHub