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agno-multimodal

Develop multimodal AI agents that process images, audio, and video.

4|Updated Feb 19, 2026
Search Tags:#ai agents#multimodal#audio processing#image analysis#video analysis#agno
One-click install
npx skills add https://github.com/ajshedivy/agno-cookbook --skill agno-multimodal
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agno-multimodal
Source: https://github.com/ajshedivy/agno-cookbook/tree/main/plugins/agno-framework/skills/agno-multimodal
Command: npx skills add https://github.com/ajshedivy/agno-cookbook --skill agno-multimodal

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables the creation of advanced AI agents capable of understanding and processing various media types beyond text, including images, audio, and video.

Core Features & Use Cases

  • Image Analysis: Agents can interpret and describe images from URLs or local files, identifying objects and details.
  • Audio Processing: Handle audio input for transcription and summarization, and generate audio output for spoken responses.
  • Video Analysis: Process video files to provide descriptions of their content.
  • Structured Data Extraction: Extract specific information from images into predefined data structures (e.g., Pydantic models).
  • Use Case: An agent can analyze a photograph of a product, identify its features, and then use a web search tool to find pricing and reviews, providing a comprehensive report.

Quick Start

Use the agno-multimodal skill to describe the image located at 'https://example.com/photo.jpg'.

Frequently Asked Questions about agno-multimodal

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

FAQPage Schema
How do I build AI agents that process images, audio, and video?▼

To build multimodal AI agents that process images, audio, and video, you can use this Skill to enable agents to analyze visual inputs from URLs or local files, transcribe audio, and describe video content.

What is structured data extraction from images using Pydantic models?▼

Structured data extraction from images using Pydantic models involves parsing visual inputs to identify specific details and mapping them into predefined data structures for organized analysis.

Can I use local image files for multimodal agent analysis?▼

Yes, multimodal agents can analyze local image files as well as images from URLs, allowing them to interpret pictures, identify objects, and extract details from local visual assets.

Does audio processing support both transcription and generation?▼

Yes, audio processing supports both transcribing input audio for summarization and generating audio output to provide spoken responses from the multimodal agent.

How do I extract product features from a photo and search for pricing?▼

You can extract product features from a photo by having the multimodal agent analyze the image, identify details, and use integrated web search tools to find pricing and reviews for a comprehensive report.

What are the limitations when analyzing video content with multimodal agents?▼

The primary capability for video content is generating descriptions of the video's visual elements, meaning complex temporal reasoning or deep audio-visual correlation within the video may be limited.

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