ai-multimodal

Process multimedia inputs for multimodal analysis, transcription, captioning, and generation.

3|2|Updated Dec 2, 2025
One-click install
npx skills add https://github.com/hotriluan/ai-command-center --skill ai-multimodal-hotriluan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-multimodal
Source: https://github.com/hotriluan/ai-command-center/tree/main/ai-multimodal
Command: npx skills add https://github.com/hotriluan/ai-command-center --skill ai-multimodal-hotriluan

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Working with multimodal AI (images, video, audio) often involves complex processing, optimization, and integration with specific AI models. This skill provides guidance and scripts for leveraging multimodal AI capabilities, including vision understanding, image/video generation, and audio processing, simplifying complex media tasks.

Core Features & Use Cases

  • Vision Understanding: Techniques for analyzing images and videos to extract insights, objects, and context.
  • Image & Video Generation: Strategies for generating high-quality images and videos using AI models.
  • Audio Processing: Guides on processing audio data, including transcription, analysis, and generation.
  • Media Optimization: Scripts for optimizing media files for AI processing and efficient storage.
  • Use Case: An AI needs to analyze a video of a product demonstration, extract key actions, generate a summary, and create a new promotional image based on the video's content. This skill can provide Python scripts for media optimization and batch processing with Gemini, along with references on video analysis and image generation, enabling a comprehensive multimodal workflow.

Quick Start

Analyze the attached image 'product_showcase.jpg' and describe its key visual elements and context.

Frequently Asked Questions about ai-multimodal

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

FAQPage Schema
How do I analyze images and videos with AI to extract text, objects, and context?

Image and video analysis uses computer vision to identify objects, extract text via OCR, detect scenes, and answer questions about visual content. This skill provides Python scripts leveraging Gemini's vision capabilities to process images and video frames, enabling captioning, object detection, and temporal analysis for multimedia understanding.

Can I transcribe audio and extract insights from video in a single workflow?

Audio transcription with timestamps and video analysis can be combined into multimodal workflows. This skill covers audio transcription, summarization, and music analysis alongside video scene detection and temporal analysis, orchestrated via Python scripts and Gemini integration for end-to-end media processing.

What's the best way to optimize media files like images and videos before processing with AI?

Media optimization reduces file size and ensures compatibility with AI models through format conversion and compression. This skill includes ffmpeg and Pillow-based scripts for optimizing images and videos while respecting token limits and media format constraints required by Gemini and generation models.

How do I generate images and videos from text prompts using AI models?

Image and video generation creates visual content from text descriptions using dedicated AI models. This skill provides guidance on leveraging Imagen 4 for image generation and Veo 3 for video generation, with Python orchestration and structured output formatting for production workflows.

Can I process PDFs, forms, and documents alongside images and video with the same tool?

Multimodal processing handles documents, images, and video together by extracting content and analyzing structure. This skill covers PDF and document analysis including form and chart extraction, integrated with image and video analysis via Gemini's multimodal capabilities and File API inputs.

Does this work with batch processing and command-line orchestration for large media files?

CLI batch orchestration processes multiple media files programmatically without manual intervention. This skill provides Python scripts for batch processing images, videos, and audio through Gemini with structured JSON and CSV output, handling media optimization and token limits at scale.