add-image-vision

Process WhatsApp image attachments into multimodal content blocks for NanoClaw agents.

1|21|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/arnaudjnn/nanoclaw-railway --skill add-image-vision-arnaudjnn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: add-image-vision
Source: https://github.com/arnaudjnn/nanoclaw-railway/tree/main/.claude/skills/add-image-vision
Command: npx skills add https://github.com/arnaudjnn/nanoclaw-railway --skill add-image-vision-arnaudjnn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sharp, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill allows NanoClaw agents to process and understand image attachments sent through WhatsApp, enabling multimodal communication.

Core Features & Use Cases

  • Image Processing: Downloads, resizes, and processes WhatsApp image attachments.
  • Multimodal Content: Sends images to Claude as base64-encoded multimodal content blocks.
  • Use Case: When a user sends an image in a WhatsApp chat, the agent can now analyze its content and respond contextually, just as if it were text.

Quick Start

Send an image in a registered WhatsApp group and verify the agent responds with understanding of the image content.

Frequently Asked Questions about add-image-vision

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

FAQPage Schema
How do I add image vision capabilities to my AI agent for WhatsApp image attachments?

Image vision for AI agents works by downloading, resizing, and processing WhatsApp image attachments into base64-encoded multimodal content blocks. These blocks are sent to Claude, allowing the agent to analyze the image content directly.

Do I need the sharp library to process images for multimodal AI agents?

Yes, the sharp library is required to process images for multimodal AI agents. It handles the image manipulation and resizing needed before encoding images into multimodal content blocks for analysis.

Can I use NanoClaw agents to analyze images sent in a WhatsApp chat?

Yes, you can use NanoClaw agents to analyze images sent in a WhatsApp chat. The agent processes image attachments and responds with an understanding of the image content, enabling multimodal communication.

What is the best way to convert WhatsApp images into base64-encoded multimodal content for Claude?

The best way to convert WhatsApp images into base64-encoded multimodal content for Claude is using this image processing skill. It downloads, resizes, and encodes images into multimodal content blocks for AI analysis.

What are the limitations of processing WhatsApp images with AI agents?

A limitation of processing WhatsApp images with AI agents is that images must be resized and encoded into base64 multimodal content blocks before analysis. This requires the sharp library and integration with the WhatsApp channel.