ck:ai-multimodal

Analyze images, audio, and video with Google Gemini's multimodal API.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/droppii/droppii-agents --skill ck-ai-multimodal-droppii
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ck:ai-multimodal
Source: https://github.com/droppii/droppii-agents/tree/main/cursor/skills/ai-multimodal
Command: npx skills add https://github.com/droppii/droppii-agents --skill ck-ai-multimodal-droppii

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Process multimedia content using Google Gemini's multimodal API to analyze, transcribe, extract actionable data, and generate assets.

Core Features & Use Cases

  • Analyze media (images, audio, video) with Gemini's multimodal models for insights, captions, and classifications.
  • Transcribe audio/video, perform OCR, extract structured data, and generate images/videos as needed.
  • Use in workflows for media QA, design briefs, or automated asset creation in content pipelines.

Quick Start

Use this skill to analyze a media file with Gemini and return structured results.

Frequently Asked Questions about ck:ai-multimodal

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

FAQPage Schema
How do I analyze images, audio, and video using Gemini's multimodal API?

To analyze media with Gemini's multimodal API, you process images, audio, and video through provided Python scripts to extract structured insights, perform transcription, OCR, and generate multimedia assets.

Do I need a Gemini API key to run batch transcription and OCR scripts?

Yes, a Gemini API key is required. The Python scripts use this key to orchestrate batch processing, key rotation, and token management for transcription, OCR, and content extraction tasks.

Can I generate images and videos automatically within a content pipeline?

Yes, you can generate images and videos automatically. The skill orchestrates media asset generation alongside transcription and classification within multimedia content workflows using Gemini's API.

What is the best way to extract structured data from multimedia files?

The best way to extract structured data from multimedia files is using Gemini's multimodal models to analyze media content, yielding structured outputs like captions, classifications, and extracted text.

Does this approach support key rotation and token management for large-scale media processing?

Yes, the provided Python scripts handle key rotation and token management, allowing you to orchestrate batch processing of media files efficiently without hitting standard API limits.

Why use Python scripts for media QA and automated asset creation?

Python scripts automate media QA and asset creation by leveraging Gemini's multimodal API to process diverse media formats, producing actionable data, design briefs, and generated media assets.