Agent skill · Backend & API

gemini-image-gen

Guide for implementing Google Gemini API image generation - create high-quality images from text prompts using gemini-2.5-flash-image model. Use when generating images, creating visual content, or implementing text-to-image features. Supports text-to-image, image editing, multi-image composition, and iterative refinement.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill gemini-image-gen-alex-tgk-saasquatch --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Version: 1.0.0
Allowed tools: -Bash-Read-Write
Path: skills/ai-llm/gemini-image-gen-alex-tgk-saasquatch/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Gemini Image Generation Skill Generate high-quality images using Google's Gemini 2.5 Flash Image model with text prompts, image editing, and multi-image composition capabilities. ## When to Use This Skill Use this skill when you need to: - Generate images from text descriptions - Edit existing images by adding/removing elements or changing styles - Combine multiple source images into new compositions - Iteratively refine images through conversational editing - Create visual content for documentation, design, or creative projects ## Prerequisites ### API Key Setup The skill automatically detects your `GEMINI_API_KEY` in this order: 1. **Process environment**: `export GEMINI_API_KEY="your-key"` 2. **Skill directory**: `.claude/skills/gemini-image-gen/.env` 3. **Project directory**: `./.env` (project root) **Get your API key**: Visit [Google AI Studio](https://aistudio.google.com/apikey) Create `.env` file with: ```bash GEMINI_API_KEY=your_api_key_here ``` ### Python Setup Install required package: ```bash pip install google-genai ``` ## Quick Start ### Basic Text-to-Image Generation ```python from google import genai from google.genai import types import os # API key detection hand

What's inside
Steps it walks through
  1. When to Use This Skill
  2. Prerequisites
  3. API Key Setup
  4. Python Setup
  5. Quick Start
  6. Basic Text-to-Image Generation
  7. Using the Helper Script
  8. Key Features
  9. Aspect Ratios
  10. Response Modalities
  11. Image Editing
  12. Multi-Image Composition
  13. Prompt Engineering Tips
  14. Safety Settings
Ships with 1 file
  • metadata.json
Commands it runs
pip install google-genai
Generate single image
python .claude/skills/gemini-image-gen/scripts/generate.py \
Generate with specific modalities
Create directory if needed
mkdir -p ./docs/assets
Check environment variables
echo $GEMINI_API_KEY
Verify .env file exists
cat .claude/skills/gemini-image-gen/.env
More from claude-skill-registry
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About this skill
What does the gemini-image-gen skill do?

Guide for implementing Google Gemini API image generation - create high-quality images from text prompts using gemini-2.5-flash-image model. Use when generating images, creating visual content, or implementing text-to-image features. Supports text-to-image, image editing, multi-image composition, and iterative refinement.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill gemini-image-gen-alex-tgk-saasquatch --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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