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/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.

From plugin
opc-skills
1.9k10 skills

Claude Code

$ npx -y skills add ReScienceLab/opc-skills --skill banner-creator --agent claude-code

SKILL.md

banner-creator.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, cover image, GitHub banner, Twitter header, or 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](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:

.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

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:

# 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` → 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](./references/formats.md) - Common banner sizes by platform
  • [examples/opc-banner-creation.md](./examples/opc-banner-creation.md) - Full example conversation
Read more
@resciencelab
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AI Agent Skills for Solopreneurs, Indie Hackers, and One-Person Companies Extend Claude Code, Cursor, Codex, and more with automation skills.

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Questions about banner-creator.

Which coding agents can use banner-creator?
banner-creator installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.