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Multimodal AI processing using Google Gemini. Use for analyzing PDFs, images, videos, YouTube links, and other large documents. Ideal when you need to extract information from files that require vision or multimodal understanding.

Install Skill

Shared

Installs to .agents/skills, used by Codex, Amp, Warp, Cursor, OpenCode, and more.

CodexAmp
Warp
CursorOpenCode
Cline
Gemini CLI
GitHub Copilot
Personal

Available across projects.

$npx skills-installer add @majiayu000/claude-skill-registry/gem --client shared
Project

Writes to .agents/skills.

$npx skills-installer add @majiayu000/claude-skill-registry/gem -p --client shared
Note: Review the skill instructions before using it.

SKILL.md

name gem
description Multimodal AI processing using Google Gemini. Use for analyzing PDFs, images, videos, YouTube links, and other large documents. Ideal when you need to extract information from files that require vision or multimodal understanding.

Gemini Multimodal Tool

Use the ai-gem CLI tool for multimodal AI processing via Google's Gemini API.

Usage

# Text queries
ai-gem "Write a haiku about Python programming"

# Analyze documents
ai-gem "Summarize this document" document.pdf

# Analyze images
ai-gem "What's in this image?" photo.jpg

# Process YouTube videos
ai-gem "Create a 5-point summary" "https://youtu.be/VIDEO_ID"

# Compare multiple files
ai-gem "Compare these files" file1.pdf file2.png

# Web search
ai-gem "Current AI news" --search

Requirements

  • GEMINI_API_KEY environment variable must be set
  • The hamel package must be installed: pip install hamel

Supported Input Types

  • PDFs
  • Images (PNG, JPEG, GIF, WebP)
  • Videos (MP4, etc.)
  • YouTube URLs
  • Plain text files
  • Multiple files for comparison