gemini-image-gen
Scannednpx machina-cli add skill freitasp1/claude-code-skills/gemini-image-gen --openclawGemini 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
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
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:
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, Gemini Image Generation powers:
- AI-generated OEE dashboard visuals in PPTX exports
- Hero images for executive manufacturing reports
- Marketing materials for LinkedIn posts
Source
git clone https://github.com/freitasp1/claude-code-skills/blob/main/skills/gemini-image-gen/SKILL.mdView on GitHub Overview
Generates images via Google Gemini API using Claude Code CLI. Choose gemini-2.5-flash-image for speed or gemini-3-pro-image-preview for higher quality, making it ideal for social media graphics, marketing visuals, and infographics.
How This Skill Works
Set up with a Google Gemini API key and the google-genai package. Create a client and call generate_content with the chosen model and prompt contents; then parse the response to extract image data from response.candidates[0].content.parts and save it as a file (e.g., output.png).
When to Use It
- Creating social media graphics
- Producing marketing materials
- Designing infographics
- Generating banners for Reddit/Discord
- Building presentation slides
Quick Start
- Step 1: Install dependencies and set API key (pip install google-genai pillow python-dotenv; export GOOGLE_AI_API_KEY=your_key)
- Step 2: Create a client and call client.models.generate_content with model (gemini-2.5-flash-image for fast) and contents=[prompt]
- Step 3: Extract image bytes from response.candidates[0].content.parts and save as output.png
Best Practices
- Choose gemini-2.5-flash-image for fast drafts and gemini-3-pro-image-preview for final assets
- Craft clear, specific prompts in the contents list to guide visuals
- Iterate with quick prompt variations to refine style and layout
- Compress images before embedding in PPTX to avoid silent failures
- Maintain design consistency (themes, colors, typography) across assets
Example Use Cases
- AI-generated OEE dashboard visuals in PPTX exports
- Hero images for executive manufacturing reports
- Marketing materials for LinkedIn posts
- Social media graphics for campaigns
- Infographics for product or process stories
