image

Queue image files for injection into multimodal LLM context windows.

Updated Jun 22, 2026
One-click install
npx skills add https://github.com/alangeb/tau --skill image-alangeb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: image
Source: https://github.com/alangeb/tau/tree/main/src/skills/image
Command: npx skills add https://github.com/alangeb/tau --skill image-alangeb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill bridges the gap between text-based AI and visual data, allowing the agent to interpret screenshots, photos, and diagrams to provide context-aware assistance.

Core Features & Use Cases

  • Multimodal Analysis: Enables the agent to "see" and describe images, screenshots, or diagrams provided by the user.
  • Vision Model Integration: Seamlessly routes image data to compatible vision models like Gemma 4 or Qwen 3.6.
  • Use Case: Upload a screenshot of a complex software interface or a whiteboard diagram and ask the agent to explain the components or suggest improvements based on the visual layout.

Quick Start

Use the image skill to analyze the screenshot named dashboard_v1.png and describe the primary UI elements.

Frequently Asked Questions about image

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze a screenshot with an AI agent?

To analyze a screenshot, you can use multimodal image processing to queue the file for injection into a vision model's context window. This allows the agent to interpret visual data like UI layouts and describe the components.

What image formats are supported for multimodal LLM context injection?

Supported image formats for multimodal LLM context injection include JPEG, PNG, and WebP. These common formats are processed to enable visual inspection and screenshot analysis within compatible vision models.

Can I use image analysis with non-vision models?

Image analysis with non-vision models is handled through graceful error handling to ensure system stability. The skill prevents crashes during multimodal operations by managing incompatible model contexts safely.

How does computer vision integration work for software interface diagrams?

Computer vision integration works by routing image data of software interfaces or diagrams to compatible multimodal models. This enables the AI agent to see the visual layout and suggest improvements or explain components.

Do I need a specific vision model to process image files?

You need a compatible vision model to process image files effectively. The skill seamlessly routes visual data to models like Gemma 4 or Qwen 3.6 to provide context-aware assistance based on the image content.

What is the best way to extract text from a whiteboard diagram using AI?

The best way to extract text from a whiteboard diagram is multimodal image analysis, which queues the image for the AI agent to interpret. This bridges text-based AI and visual data to explain the diagram's contents.