本文へ移動
cccskills
無料GitHub で公開

nanobanana-skill

Generate or edit images via Google Gemini (nanobanana). This is the DEFAULT image skill — use whenever the user asks to generate, create, or edit an image and does NOT name another provider. Triggers: "nanobanana", "generate image", "create image", "edit image", "图片生成", "生成图片", "AI绘图", "图片编辑". Do NOT use for diagrams (架构图/流程图/时序图) — draw those with Mermaid or code instead.

インストール方法を見る

含まれるファイル(3)

  • SKILL.md4.3 KB
  • nanobanana.py5.1 KB
  • requirements.txt47 B

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。

Nanobanana Image Generation Skill

Generate or edit images using Google Gemini API through the nanobanana tool.

Requirements

  1. GEMINI_API_KEY: Must be configured in ~/.nanobanana.env or export GEMINI_API_KEY=<your-api-key>
  2. Python3 with dependent packages installed: google-genai, Pillow, python-dotenv. They could be installed via python3 -m pip install -r ${CLAUDE_SKILL_DIR}/requirements.txt if not installed yet.
  3. Executable: ${CLAUDE_SKILL_DIR}/nanobanana.py

Instructions

For image generation

  1. Ask the user for:

    • What they want to create (the prompt)
    • Desired aspect ratio/size (optional, defaults to 9:16 portrait)
    • Output filename (optional, auto-generates UUID if not specified)
    • Model preference (optional, defaults to gemini-3.1-flash-image-preview)
    • Resolution (optional, defaults to 1K)
  2. Run the nanobanana script with appropriate parameters:

    python3 ${CLAUDE_SKILL_DIR}/nanobanana.py --prompt "description of image" --output "filename.png"
    
  3. Show the user the saved image path when complete

For image editing

  1. Ask the user for:

    • Input image file(s) to edit
    • What changes they want (the prompt)
    • Output filename (optional)
  2. Run with input images:

    python3 ${CLAUDE_SKILL_DIR}/nanobanana.py --prompt "editing instructions" --input image1.png image2.png --output "edited.png"
    

Available Options

Aspect Ratios (--size)

  • 1024x1024 (1:1) - Square
  • 832x1248 (2:3) - Portrait
  • 1248x832 (3:2) - Landscape
  • 864x1184 (3:4) - Portrait
  • 1184x864 (4:3) - Landscape
  • 896x1152 (4:5) - Portrait
  • 1152x896 (5:4) - Landscape
  • 768x1344 (9:16) - Portrait (default)
  • 1344x768 (16:9) - Landscape
  • 1536x672 (21:9) - Ultra-wide

Models (--model)

  • gemini-3.1-flash-image-preview (default) - Latest, fast generation
  • gemini-3-pro-image-preview - Higher quality, supports thinking/reasoning

Resolution (--resolution)

  • 1K (default)
  • 2K
  • 4K

Other Options

  • --no-search - Disable Google Search grounding (enabled by default)
  • --no-think - Disable thinking/reasoning mode

Examples

Generate a simple image

python3 ${CLAUDE_SKILL_DIR}/nanobanana.py --prompt "A serene mountain landscape at sunset with a lake"

Generate with specific size and output

python3 ${CLAUDE_SKILL_DIR}/nanobanana.py \
  --prompt "Modern minimalist logo for a tech startup" \
  --size 1024x1024 \
  --output "logo.png"

Generate landscape image with high resolution

python3 ${CLAUDE_SKILL_DIR}/nanobanana.py \
  --prompt "Futuristic cityscape with flying cars" \
  --size 1344x768 \
  --resolution 2K \
  --output "cityscape.png"

Edit existing images

python3 ${CLAUDE_SKILL_DIR}/nanobanana.py \
  --prompt "Add a rainbow in the sky" \
  --input photo.png \
  --output "photo-with-rainbow.png"

Use pro model for higher quality

python3 ${CLAUDE_SKILL_DIR}/nanobanana.py \
  --prompt "Detailed portrait of a cat in watercolor style" \
  --model gemini-3-pro-image-preview \
  --output "cat-portrait.png"

Error Handling

If the script fails:

  • Check that GEMINI_API_KEY is exported or set in ~/.nanobanana.env
  • Verify input image files exist and are readable
  • Ensure the output directory is writable
  • If no image is generated, try making the prompt more specific about wanting an image

Best Practices

  1. Be descriptive in prompts - include style, mood, colors, composition
  2. For logos/graphics, use square aspect ratio (1024x1024)
  3. For social media posts, use 9:16 for stories or 1:1 for posts
  4. For wallpapers, use 16:9 or 21:9
  5. Start with 1K resolution for testing, upgrade to 2K/4K for final output
  6. Use gemini-3-pro-image-preview for best quality, gemini-3.1-flash-image-preview (default) for speed

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

Explore user intent, requirements, and design options through collaborative dialogue before implementation. Use before building new features, components, or systems — whenever the user describes something to build and design decisions are involved. Triggers: "brainstorm", "help me design", "think through the requirements", "头脑风暴", "设计方案", "梳理需求". Not for bug fixes, config changes, or tasks with an obvious implementation path.

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。

feiskyer/claude-code-settings1,6602026年9月28日 更新

Leverage OpenAI Codex/GPT models for autonomous code implementation, code review, and plan review. Triggers: "codex", "use gpt", "gpt-5", "let openai", "full-auto", "adversarial review", "second opinion review", "用codex", "让gpt实现", "对抗式审查", "让codex审查计划", "第二意见". Use this skill whenever the user wants to delegate coding tasks to OpenAI models, run code or plan reviews via codex, get a second-opinion review from a different model, or execute tasks in a sandboxed environment.

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。

feiskyer/claude-code-settings1,6602026年9月28日 更新

Multi-agent research orchestration: split a research goal into parallel sub-goals, run each via headless `claude -p` subprocesses, aggregate results into a polished report file. Use for systematic web/document research, competitive or industry analysis, batch link/dataset processing, and long-form evidence synthesis. Triggers: "深度调研", "deep research", "wide research", "多 Agent 调研", "系统调研".

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。

feiskyer/claude-code-settings1,6602026年9月28日 更新

Fix GitHub issues end-to-end — analysis, branch creation, implementation, testing, and PR submission. Use whenever the user mentions fixing a GitHub issue, says "fix issue

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。

feiskyer/claude-code-settings1,6602026年9月28日 更新

Review GitHub pull requests with detailed, multi-perspective code analysis using parallel subagents. Use this skill whenever the user wants to review a PR, asks for code review on a pull request, mentions "review PR", "check this PR", "look at pull request", or references a PR number or GitHub PR URL. Do NOT use for local uncommitted changes — this skill only reviews pull requests on GitHub.

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。

feiskyer/claude-code-settings1,6602026年9月28日 更新

Generate or edit images using OpenAI GPT Image API (gpt-image-2, gpt-image-1, etc). Use ONLY when the user explicitly names OpenAI or GPT as the provider: "gpt image", "openai image", "generate image with openai", "用 openai 画图", "用 GPT 生成图片". For generic image requests without a provider, use nanobanana-skill instead. Do NOT use for diagrams (架构图/流程图) — draw those with Mermaid or code.

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。

feiskyer/claude-code-settings1,6602026年9月28日 更新

feiskyer のスキルをすべて見る

このスキルの問題を報告する