Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add ReScienceLab/opc-skills --skill "banner-creator"
Install specific skill from multi-skill repository
# Description
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, or cover image.
# SKILL.md
name: banner-creator
description: 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, or cover image.
triggers:
- "banner"
- "header"
- "hero image"
- "cover image"
- "create banner"
- "github banner"
- "twitter header"
- "readme banner"
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/<yyyy-mm-dd-summaryname>/
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:
1. 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 README3:1(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 <nanobanana_skill_dir>/scripts/generate.py "{style} banner for {brand}, {description}, {text elements}" \
--ratio 21:9 -o .skill-archive/banner-creator/<date-name>/banner-01.png
# Batch generate 20 banners
python3 <nanobanana_skill_dir>/scripts/batch_generate.py "{style} banner for {brand}, {description}, {text elements}" \
-n 20 --ratio 21:9 -d .skill-archive/banner-creator/<date-name> -p banner
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 <nanobanana_skill_dir>/scripts/generate.py "add {logo character} to the left side of the banner" \
-i /path/to/existing-logo.png --ratio 21:9 -o banner-with-logo.png
Step 3: Create HTML Preview
Copy the preview template and open in browser:
cp <skill_dir>/templates/preview.html .skill-archive/banner-creator/<yyyy-mm-dd-summaryname>/preview.html
Then open in default browser:
open .skill-archive/banner-creator/<yyyy-mm-dd-summaryname>/preview.html
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:
python3 <skill_dir>/scripts/crop_banner.py {input.png} {output.png} --ratio 2:1 --width 1280
Common targets:
- GitHub README: --ratio 2:1 --width 1280 β 1280x640
- Twitter header: --ratio 3:1 --width 1500 β 1500x500
- Website hero: --ratio 16:9 --width 1920 β 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
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.