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nano-bananaNano Banana 图像生成

Agent Skill

nano-banana 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

94

周安装

4

GitHub Stars

公开资料未说明

下载量

33
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:nano-banana(Nano Banana 图像生成)
来源仓库:https://github.com/carolmonroe22/nano-banana
仓库路径:skills/nano-banana
安装命令:
npx skills add carolmonroe22/nano-banana --skill "nano-banana"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add carolmonroe22/nano-banana --skill "nano-banana"

简介

nano-banana 用于图像生成,支持创意设计与视觉素材制作。

  • 适用于 Codex、Claude、Cursor、Gemini CLI 等平台中多媒体内容创作场景。
  • 通过 npx skills add carolmonroe22/nano-banana --skill "nano-banana" 命令安装。
  • 生成图像质量取决于提示词设计,需多次迭代优化效果。
  • 注意版权归属问题,商用前请确认许可条款。

SKILL.md

Nano Banana

Generate images using Google Generative AI API. Supports any image type: illustrations, realistic photos, product mockups, logos, scenes, patterns, UI concepts, and more.

Setup (first time only)

If GOOGLE_AI_API_KEY is not set:

  1. Go to https://aistudio.google.com/apikey
  2. Click "Create API Key" (free, no credit card needed)
  3. Add to shell profile: echo 'export GOOGLE_AI_API_KEY="your-key-here"' >> ~/.zshrc source ~/.zshrc

Interactive Workflow

  1. Ask for concept - What image do you want to create?
  2. Ask for type - Illustration, photo, mockup, logo, etc.
  3. Ask for quality level - nano-banana-2 (fast, good quality) or nano-banana-pro (best quality, slower)?
  4. Ask for size - What dimensions/aspect ratio?
  5. Ask for style - User describes their aesthetic, colors, or picks a preset
  6. Build prompt - Combine type + style + concept + size into a generation prompt
  7. Generate - Run scripts/generate.py
  8. Preview - Open in default viewer

Models & Cost

Present these options and confirm cost before generating:

ModelFlagCost/imageBest for
Nano Banana 2 (default)-m nano-banana-2~$0.04Latest, fastest, good quality
Nano Banana Pro-m nano-banana-pro~$0.06Best quality, slower
Nano Banana (legacy)-m nano-banana~$0.04Original model

Always confirm: "This will cost approximately $X.XX. Proceed?"

Sizes

Ask user what size they need. Add the size instruction to the END of the prompt:

SizeUse casePrompt suffix
Square (1:1)Blog posts, socialSquare 1:1 aspect ratio.
Wide (16:9)Headers, banners, YouTubeWide format 16:9 aspect ratio.
Portrait (9:16)Stories, mobilePortrait 9:16 aspect ratio.
Landscape (3:2)Photos, cardsLandscape 3:2 aspect ratio.

Building the Prompt

If user has brand/style preferences

Ask: "Do you have specific colors, aesthetic, or brand style you'd like?"

Use their answer to build the prompt with this structure:

[IMAGE TYPE], [AESTHETIC/STYLE], [COLOR PALETTE].

[CONCEPT DESCRIPTION]

[STYLE CONSTRAINTS]. [ASPECT RATIO]

Image Type Presets

Illustrations

Watercolor - Soft, whimsical, hand-drawn

Whimsical hand-drawn watercolor illustration, soft [USER_COLOR] palette with warm accents.

Simple composition with ONE/TWO main elements:
[CONCEPT]

Style: Simple and clean like Notion illustrations. NOT complex. NOT busy.
NO text. Cream background. Square 1:1.

Monochromatic - Single color, clean lines

MONOCHROMATIC [USER_COLOR] illustration - use ONLY shades of [USER_HEX] throughout. Ultra high quality.

[CONCEPT]

Style: Clean lines, modern like Notion/Slack. NO other colors.

Flat/Editorial - Detailed, informative

Detailed flat illustration in [USER_COLOR] palette, editorial quality.

[CONCEPT]

Style: Clean linework. Modern editorial feel. High detail.
Wide format 16:9.

Minimal line art - Simple outlines, one accent

Minimal line art, thin black outlines with [USER_COLOR] as single accent color.

[CONCEPT]

Style: Minimal, lots of whitespace. NO fills except accent. White background.

Photos / Realistic

Product photo - Clean, studio-style

Professional product photography, studio lighting, clean [white/colored] background.

[PRODUCT DESCRIPTION]

Ultra high quality, sharp focus, soft shadows. [ASPECT RATIO]

Lifestyle photo - Natural, contextual

Lifestyle photography, natural lighting, [warm/cool] tones.

[SCENE DESCRIPTION]

Authentic feel, shallow depth of field. [ASPECT RATIO]

Scene / Environment - Places, spaces

[Photorealistic/Cinematic] scene, [LIGHTING DESCRIPTION], [MOOD].

[SCENE DESCRIPTION]

High detail, professional photography quality. [ASPECT RATIO]

Design & Branding

Logo concept - Clean, symbolic

Minimalist logo design on white background. Clean vector style.

[BRAND/CONCEPT DESCRIPTION]

Simple, memorable, works at small sizes. NO text. Square 1:1.

UI mockup - Interface concepts

Clean UI design mockup, modern interface, [light/dark] theme.

[SCREEN/COMPONENT DESCRIPTION]

Style: Modern SaaS aesthetic, clean typography, subtle shadows. [ASPECT RATIO]

Pattern / Texture - Repeating visuals

Seamless [PATTERN TYPE] pattern, [USER_COLOR] palette.

[PATTERN DESCRIPTION]

Tileable, consistent spacing, high quality. Square 1:1.

Generation

Single image

python3 scripts/generate.py "<full_prompt>" -o ~/Desktop/<filename>.png -m <model> --open
  • -m selects the model (default: nano-banana-2)
  • --open opens the image in the default viewer after generation
  • Use descriptive kebab-case filenames (e.g., laptop-notifications.png)
  • If user doesn't like the result, tweak the prompt and regenerate

Batch generation (same style)

When user needs multiple images in a consistent style (e.g., blog series, icon set, product shots):

  1. Define the style prompt once (colors, aesthetic, constraints)
  2. Ask user for a list of concepts/subjects
  3. Generate each image reusing the same style prefix, only changing the concept
  4. Save all to the same folder with numbered or descriptive names

Example batch flow:

# Same style, different concepts
python3 scripts/generate.py "<STYLE PREFIX> A laptop with sparkles. <STYLE SUFFIX>" -o ~/Desktop/batch/01-laptop.png -m nano-banana-2
python3 scripts/generate.py "<STYLE PREFIX> A rocket launching. <STYLE SUFFIX>" -o ~/Desktop/batch/02-rocket.png -m nano-banana-2
python3 scripts/generate.py "<STYLE PREFIX> A lightbulb moment. <STYLE SUFFIX>" -o ~/Desktop/batch/03-lightbulb.png -m nano-banana-2

Confirm total cost before starting: "This batch of N images will cost approximately $X.XX total. Proceed?"

Tips for Better Results

  • Keep concepts focused: describe the main subject clearly
  • Specify what you DON'T want (no text, no watermarks, no blurry elements)
  • Include aspect ratio (1:1 for social, 16:9 for headers, 9:16 for stories)
  • Add "Ultra high quality" or "High detail" for sharper output
  • For illustrations: reference styles (Notion, Slack, Linear, Dribbble)
  • For photos: describe lighting, angle, and mood
  • For logos/design: emphasize simplicity and scalability
  • If result isn't right, iterate: adjust the prompt and regenerate

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Cursor

91.68%
按下载量换算30

安全审计

暂无安全审计结果可展示。

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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