banner-creator
Create banners using AI image generation. Discuss format/style, generate variations, iterate with user feedback, crop to target ratio. Use when user wants to create a banner, header, hero image, cover image, GitHub banner, Twitter header, or readme banner.
By resciencelab · 1,768 installs
npx skills add resciencelab/opc-skills --skill banner-creator
Source repository · Upstream listing
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](https://aistudio.google.com/apikey)
Required Skills:
nanobanana AI image generation (Gemini 3 Pro Image)
File Output Location
All generated files should be saved to the .skill archive directory:
Example:
Workflow
Step 1: Discovery & Requirements
Before generating, gather requirements from user:
Ask about:
1. Purpose Where will the banner be used?
GitHub README
Twitter/X header
LinkedIn banner
Website hero
YouTube channel art
2. Target ratio/size See [references/formats.md](./references/formats.md):
2:1 (1280x640) GitHub README
3:1 (1500x500) Twitter header
16:9 (1920x1080) Website hero
3. Style preference :
Match existing logo/brand?
Pixel art / 8 bit retro
Minimalist / flat design
Gradient / modern
Illustrated / artistic
4. Content elements :
Brand name / project name?
Tagline / slogan?
Logo character to include?
5. 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:
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):
Step 3: Create HTML Preview
Copy the preview template and open in browser:
Then open in default browser:
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:
1. Generate 10 20 more variations of favorite styles
2. Use naming: banner {original} v{n}.png (e.g., banner 03 v1.png )
3. Update HTML preview
4. Repeat until user selects final banner
Step 5: Crop to Target Ratio
Once user approves a banner, crop to target size:
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:
Quick Reference
Common Prompt Patterns
With Text:
With Character:
Abstract/Gradient:
Scene based:
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](./references/formats.md) Common banner sizes by platform
[examples/opc banner creation.md](./examples/opc banner creation.md) Full example conversation