Can I edit existing images with this skill?

Yes, you can upload existing images and provide text instructions to add elements, change styles, or modify specific parts of the image conversationally.

Does it support wide or vertical aspect ratios?

Yes, it supports a wide range of ratios including 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, and 21:9.

Which Gemini model does this skill use?

It uses the gemini-3-pro-image-preview model, which is optimized for high-fidelity image generation, editing, and multi-modal understanding.

Why does the skill recommend saving files as .jpg?

The Gemini API returns images in JPEG format by default. Saving them with a .jpg extension prevents media type mismatch errors common with .png extensions.

What is the maximum resolution supported?

The skill supports 1K, 2K, and 4K resolutions. 1K is the default for speed, while 4K provides maximum quality for final assets.

Gemini Image Studio

Name: Gemini Image Studio
Author: kylesnowschwartz

bykylesnowschwartz

•

Herramientas de Diseño

Generates and edits high-resolution images using the Google Gemini API directly within your AI-assisted development workflow.

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Gemini Image Studio is a specialized skill for Claude Code that integrates Google's Gemini Pro Vision capabilities for comprehensive image generation and manipulation. It allows developers to create visual assets from text prompts, perform iterative edits via conversational refinement, and compose new images from up to 14 reference sources. With native support for resolutions up to 4K, diverse aspect ratios, and Google Search grounding, this skill is ideal for rapid prototyping, UI mockup creation, and generating stylized assets without leaving the development environment.

Características Principales

High-resolution image generation from 1K to 4K quality
Support for 10+ aspect ratios including 16:9, 9:16, and 21:9
80 GitHub stars
Conversational multi-turn image refinement and editing
Multi-image composition using up to 14 reference files
Real-time visual data generation via Google Search grounding

Casos de Uso

Generating product mockups and logos during the design phase
Iteratively refining application icons and stickers through natural language
Creating photorealistic or stylized assets for frontend placeholders

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Características Principales

High-resolution image generation from 1K to 4K quality
Support for 10+ aspect ratios including 16:9, 9:16, and 21:9
80 GitHub stars
Conversational multi-turn image refinement and editing
Multi-image composition using up to 14 reference files
Real-time visual data generation via Google Search grounding

Casos de Uso

Generating product mockups and logos during the design phase
Iteratively refining application icons and stickers through natural language
Creating photorealistic or stylized assets for frontend placeholders