add-image-vision

Download, resize, and encode WhatsApp images as base64 multimodal content blocks.

50|4|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/sliamh11/Deus --skill add-image-vision-sliamh11
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: add-image-vision
Source: https://github.com/sliamh11/Deus/tree/main/.claude/skills/add-image-vision
Command: npx skills add https://github.com/sliamh11/Deus --skill add-image-vision-sliamh11

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deus agents previously could not interpret image attachments from WhatsApp; this skill downloads, resizes with sharp, and passes images to the agent as base64-encoded multimodal content blocks, enabling understanding of visual content.

Core Features & Use Cases

  • Image download from WhatsApp attachments into the group workspace
  • Resize images using sharp for consistent processing
  • Encode images as base64 and pass to agent as multimodal content blocks
  • WhatsApp MCP package integration for group workflows

Quick Start

Install the skill, verify sharp can be built, and restart the Deus service to enable image vision.

Frequently Asked Questions about add-image-vision

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

FAQPage Schema
How do I enable image vision for WhatsApp agents to understand group image attachments?

To enable image vision for WhatsApp agents, this skill downloads image attachments, resizes them using sharp, and encodes them as base64 multimodal content blocks passed directly to the agent for interpretation.

How does image processing work when passing WhatsApp images to a multimodal agent?

Image processing works by downloading WhatsApp attachments into the workspace, resizing them with sharp for consistent dimensions, and converting them into base64-encoded multimodal content blocks the agent can visually interpret.

Do I need the WhatsApp MCP package to use image vision in group workflows?

Yes, integrating the WhatsApp MCP package is required to enable image vision for group workflows, as it handles message routing and attachment downloads before sharp processes the images into base64 content blocks.

What is the best way to classify and interpret images sent in WhatsApp groups?

The best way to classify and interpret WhatsApp group images is downloading attachments, resizing them with sharp, and passing base64-encoded multimodal content blocks to the agent for descriptive understanding and response generation.

Why does my agent fail to interpret images sent over WhatsApp?

Agents fail to interpret WhatsApp images without a skill to download attachments, resize them using sharp, and pass them as base64-encoded multimodal content blocks to enable visual understanding.

What prerequisites are needed to set up agent vision for WhatsApp images?

To set up agent vision, you need the WhatsApp MCP package integration, the sharp image processing library successfully built, and a restart of the Deus service to activate image downloading and base64 encoding.