ai-multimodal

Process and synthesize images, audio, video, and documents via Gemini multimodal APIs.

2|Updated Jan 9, 2026
One-click install
npx skills add https://github.com/NammDev/Goads-Krea --skill ai-multimodal-nammdev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-multimodal
Source: https://github.com/NammDev/Goads-Krea/tree/main/.claude/skills/ai-multimodal
Command: npx skills add https://github.com/NammDev/Goads-Krea --skill ai-multimodal-nammdev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-genai, python-dotenv, Pillow, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Multimodal data flows across images, audio, video, and documents are often handled by disparate tools and piecemeal pipelines. This Skill unifies vision, audio, text, and document analysis and generation through Gemini's multimodal APIs to enable cohesive, scalable workflows.

Core Features & Use Cases

  • Unified multimodal analysis and generation across image, audio, video, and text inputs using Gemini APIs.
  • Batch processing with robust error handling, model selection, and optional resource references (scripts and references) for extended workflows.
  • Quick-start example: ingest a batch of media to produce a summarized report with optional generated assets.

Quick Start

Install dependencies, configure GEMINI_API_KEY, and run the batch processor to begin multimodal analysis.

Frequently Asked Questions about ai-multimodal

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

FAQPage Schema
How do I process images, audio, and video together using Gemini APIs?

You can process multimodal inputs by configuring the GEMINI_API_KEY and running the batch processor to synthesize images, audio, video, and documents into actionable outputs using Gemini APIs.

Can I use Python to automate transcription and OCR from multiple media files?

Yes, Python automation supports transcription and OCR by ingesting batches of media files, applying robust error handling and model selection to extract text across media types.

What do I need to configure before running multimodal analysis tasks?

You need to install Python dependencies like google-genai and Pillow, then configure your GEMINI_API_KEY and model defaults to ensure resilient operation during multimodal analysis.

How does unified multimodal analysis handle errors during batch generation?

Unified multimodal analysis handles errors during batch generation by implementing robust error handling and key rotation to ensure resilient operation across media types.

Are there limitations when generating images and video from text inputs?

Limitations include managing API key rotation and error handling for resilient operation, though the Skill supports image and video generation alongside document analysis within scalable workflows.