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gemini-image-gen
Imported from https://github.com/Svenja-dev/claude-code-skills.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Stars
30
Hot score
89
Updated
March 20, 2026
Overall rating
C3.0
Composite score
3.0
Best-practice grade
D40.0
Install command
npx @skill-hub/cli install svenja-dev-claude-code-skills-gemini-image-gen
Repository
Svenja-dev/claude-code-skills
Skill path: skills/gemini-image-gen
Imported from https://github.com/Svenja-dev/claude-code-skills.
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Svenja-dev.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install gemini-image-gen into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Svenja-dev/claude-code-skills before adding gemini-image-gen to shared team environments
- Use gemini-image-gen for development workflows
Works across
Claude CodeCodex CLIGemini CLIOpenCode
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
---
name: gemini-image-gen
description: Image generation with Google Gemini API. Models: gemini-2.5-flash-image (fast) or gemini-3-pro-image-preview (quality). For social media graphics, marketing, infographics.
---
# Gemini Image Generation
Generate images directly from Claude Code CLI using Google's Gemini API.
## Setup
**API Key:** https://aistudio.google.com/apikey
**Environment Variable:** `GOOGLE_AI_API_KEY`
**Install:** `pip install google-genai pillow python-dotenv`
## Basic Usage
```python
import os
from google import genai
client = genai.Client(api_key=os.environ.get("GOOGLE_AI_API_KEY"))
response = client.models.generate_content(
model="gemini-2.5-flash-image", # Fast
# model="gemini-3-pro-image-preview", # Quality
contents=["Your image prompt here"]
)
# Extract and save image from response
for part in response.candidates[0].content.parts:
if hasattr(part, 'inline_data') and part.inline_data:
with open("output.png", "wb") as f:
f.write(part.inline_data.data)
```
## Models
| Model | Speed | Quality | Use Case |
|-------|-------|---------|----------|
| `gemini-2.5-flash-image` | Fast (~5s) | Good | Drafts, iterations |
| `gemini-3-pro-image-preview` | Slower (~15s) | Excellent | Final assets |
## Use Cases
- Social media graphics
- Marketing materials
- Infographics
- Reddit/Discord banners
- Presentation slides
- Manufacturing dashboards (OEE gauges, SPC charts)
## Advanced: Manufacturing Dashboard Example
```python
prompt = """
Create a professional manufacturing OEE dashboard showing:
- Large OEE gauge at 85% (green zone)
- Three smaller KPI cards below:
- Availability: 92%
- Performance: 88%
- Quality: 99.2%
- Dark theme with blue/cyan accents
- Modern, executive-style design
"""
response = client.models.generate_content(
model="gemini-3-pro-image-preview",
contents=[prompt]
)
```
## Image Compression for PPTX
When embedding in PowerPoint, compress images to avoid silent failures:
```python
from PIL import Image
import io
def compress_image(data: bytes, max_size_kb: int = 200) -> bytes:
img = Image.open(io.BytesIO(data))
img = img.convert('RGB')
img.thumbnail((1280, 720))
buffer = io.BytesIO()
img.save(buffer, format='JPEG', quality=75, optimize=True)
return buffer.getvalue()
```
## Real-World Usage
At [fabrikIQ.com](https://app.fabrikiq.com), Gemini Image Generation powers:
- AI-generated OEE dashboard visuals in PPTX exports
- Hero images for executive manufacturing reports
- Marketing materials for LinkedIn posts