本文へ移動
cccskills
無料GitHub で公開

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.

インストール方法を見る

含まれるファイル(16)

  • SKILL.md5.2 KB
  • .claude-plugin/plugin.json706 B
  • examples/images/banner-01.png126.6 KB
  • examples/images/banner-02.png270.6 KB
  • examples/images/banner-03.png237.3 KB
  • examples/images/banner-04.png91.1 KB
  • examples/images/banner-05.png476.4 KB
  • examples/images/banner-06.png384.9 KB
  • examples/images/github-banner-01.png1.3 MB
  • examples/images/github-banner-02.png1.5 MB
  • examples/images/github-banner-03.png1.2 MB
  • examples/images/opc-banner-final.png152.7 KB
  • examples/opc-banner-creation.md1.6 KB
  • references/formats.md2.3 KB
  • scripts/crop_banner.py4.0 KB
  • templates/preview.html6.4 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Banner Creator Skill

Create professional banners through AI image generation with an iterative design process.

Prerequisites

Required API Keys (set in environment):

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:

    • 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

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Checklist and automation guide for adding a new skill to the OPC Skills project. Ensures all required files, metadata, logos, and listings are created before release. Use when adding a new skill, publishing a skill, or preparing a skill for release.

日本語の概要は準備中です。原文の説明を表示しています。

ReScienceLab/opc-skills1,8512026年10月10日 更新

archive

無料

Archive session learnings, debugging solutions, and deployment logs to .archive/yyyy-mm-dd/ as indexed markdown with searchable tags. Use when completing a significant task, resolving a tricky bug, deploying, or when the user says "archive this". Maintains .archive/MEMORY.md index for cross-session knowledge reuse.

日本語の概要は準備中です。原文の説明を表示しています。

ReScienceLab/opc-skills1,8512026年10月10日 更新

Search domains, compare prices, find promo codes, get purchase recommendations. Use when user wants to buy a domain, check domain prices, find domain deals, compare registrars, or search for .ai/.com domains.

日本語の概要は準備中です。原文の説明を表示しています。

ReScienceLab/opc-skills1,8512026年10月10日 更新

Create logos using AI image generation. Discuss style/ratio, generate variations, iterate with user feedback, crop, remove background, and export as SVG. Use when user wants to create a logo, icon, favicon, brand mark, mascot, emblem, or design a logo.

日本語の概要は準備中です。原文の説明を表示しています。

ReScienceLab/opc-skills1,8512026年10月10日 更新

Generate and edit images using Google Gemini 3 Pro Image (Nano Banana Pro). Supports text-to-image, image editing, various aspect ratios, and high-resolution output (2K/4K). Use when user wants to generate images, create images, use Gemini image generation, or do AI image generation.

日本語の概要は準備中です。原文の説明を表示しています。

ReScienceLab/opc-skills1,8512026年10月10日 更新

Search and retrieve content from Product Hunt. Get posts, topics, users, and collections via the GraphQL API. Use when user mentions Product Hunt, PH, or product launches.

日本語の概要は準備中です。原文の説明を表示しています。

ReScienceLab/opc-skills1,8512026年10月10日 更新

ReScienceLab のスキルをすべて見る

このスキルの問題を報告する