Banner Creator Skill
Create professional banners through AI image generation with an iterative design process.
Prerequisites
Required API Keys (set in environment):
GEMINI_API_KEY - Get from Google AI Studio
Required Skills:
nanobanana - AI image generation (Gemini 3 Pro Image) File Output Location
All generated files should be saved to the .skill-archive directory:
.skill-archive/banner-creator/
Example:
.skill-archive/banner-creator/2026-01-19-opc-banner/ banner-01.png banner-02.png ... banner-03-cropped.png preview.html
Workflow Step 1: Discovery & Requirements
Before generating, gather requirements from user:
Ask about:
Purpose - Where will the banner be used?
GitHub README Twitter/X header LinkedIn banner Website hero YouTube channel art
Target ratio/size - See references/formats.md:
2:1 (1280x640) - GitHub README 3:1 (1500x500) - Twitter header 16:9 (1920x1080) - Website hero
Style preference:
Match existing logo/brand? Pixel art / 8-bit retro Minimalist / flat design Gradient / modern Illustrated / artistic
Content elements:
Brand name / project name? Tagline / slogan? Logo character to include?
Color preferences:
Existing brand colors? Let AI decide?
Wait for user confirmation before proceeding!
Step 2: Generate Banner Variations
Generate 20 banner variations using the nanobanana skill:
Generate single banner
python3
Batch generate 20 banners
python3
Guidelines:
Generate at 21:9 ratio (widest available), crop later to target Use batch_generate.py for multiple variations (includes auto-delay) Use sequential naming: banner-01.png, banner-02.png, etc.
Image Editing (for incorporating existing logo):
python3
Step 3: Create HTML Preview
Copy the preview template and open in browser:
cp
Then open in default browser:
open .skill-archive/banner-creator/
IMPORTANT: Update the HTML to include the correct number of banners generated.
Step 4: Iterate with User
Ask user which banners they prefer:
"Which banners do you like? (e.g., #3, #7, #15)" "What do you like about them?" "Any changes you'd want?"
Based on feedback:
Generate 10-20 more variations of favorite styles Use naming: banner-{original}-v{n}.png (e.g., banner-03-v1.png) Update HTML preview Repeat until user selects final banner Step 5: Crop to Target Ratio
Once user approves a banner, crop to target size:
python3
Common targets:
GitHub README: --ratio 2:1 --width 1280 → 1280x640 Twitter header: --ratio 3:1 --width 1500 → 1500x500 Website hero: --ratio 16:9 --width 1920 → 1920x1080 Step 6: Deliver Final Assets
Present final deliverables:
Final Banner Assets
| File | Description | Size |
|---|---|---|
| banner-03.png | Original (21:9) | 2016x864 |
| banner-03-cropped.png | GitHub README (2:1) | 1280x640 |
All files saved to: .skill-archive/banner-creator/<yyyy-mm-dd-summaryname>/
Copy final banner to user's desired location.
Quick Reference Common Prompt Patterns
With Text:
Wide banner for {brand}, {style} style, featuring "{text}" prominently displayed, {colors}, {scene/elements}
With Character:
Wide banner featuring {character description}, {style} style, {scene}, text "{brand name}" on {position}, {colors}
Abstract/Gradient:
Abstract {style} banner, {colors} gradient, geometric patterns, modern tech feel, text "{brand}" centered
Scene-based:
{Style} illustration banner, {scene description}, {character} in {action}, "{brand}" text overlay, {colors}
Supported Aspect Ratios
Generate at widest ratio, then crop:
21:9 - Ultra-wide (recommended for generation) 16:9 - Wide 3:2 - Standard wide References references/formats.md - Common banner sizes by platform examples/opc-banner-creation.md - Full example conversation