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nano-banana-pro纳米香蕉专业版

Agent Skill

nano-banana-pro 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

642

周安装

27

GitHub Stars

19

下载量

225
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

unknown

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-pro(纳米香蕉专业版)
来源仓库:https://github.com/buildatscale-tv/gemini-skills
仓库路径:skills/nano-banana-pro
安装命令:
npx skills add https://github.com/buildatscale-tv/gemini-skills --skill nano-banana-pro
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。

skills.shnpx skills
npx skills add https://github.com/buildatscale-tv/gemini-skills --skill nano-banana-pro

简介

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合围绕仓库状态、代码变更或协作事项进行整理。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否触发联网或文件读写。
  • nano-banana-pro 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Nano Banana Pro - Gemini Image Generation

Generate custom images using Google's Gemini 2.5 Flash model for integration into frontend designs.

Prerequisites

Set the GEMINI_API_KEY environment variable with your Google AI API key.

Image Generation Workflow

Step 1: Generate the Image

Use scripts/image.py with uv. The script is located in the skill directory at skills/nano-banana-pro/scripts/image.py:

uv run "${SKILL_DIR}/scripts/image.py" \
  --prompt "Your image description" \
  --output "/path/to/output.png"

Where ${SKILL_DIR} is the directory containing this SKILL.md file.

Options:

  • --prompt (required): Detailed description of the image to generate
  • --output (required): Output file path (PNG format)
  • --aspect (optional): Aspect ratio - "square", "landscape", "portrait" (default: square)
  • --reference (optional): Path to a reference image for style, composition, or content guidance

Using a Reference Image

To generate an image based on an existing reference:

uv run "${SKILL_DIR}/scripts/image.py" \
  --prompt "Create a similar abstract pattern with warmer colors" \
  --output "/path/to/output.png" \
  --reference "/path/to/reference.png"

The reference image helps Gemini understand the desired style, composition, or visual elements you want in the generated image.

Step 2: Integrate with Frontend Design

After generating images, incorporate them into frontend code:

HTML/CSS:

<img src="./generated-hero.png" alt="Description" class="hero-image" />

React:

import heroImage from './assets/generated-hero.png';
<img src={heroImage} alt="Description" className="hero-image" />

CSS Background:

.hero-section {
  background-image: url('./generated-hero.png');
  background-size: cover;
  background-position: center;
}

Crafting Effective Prompts

Write detailed, specific prompts for best results:

Good prompt:

A minimalist geometric pattern with overlapping translucent circles in coral, teal, and gold on a deep navy background, suitable for a modern fintech landing page hero section

Avoid vague prompts:

A nice background image

Prompt Elements to Include

  1. Subject: What the image depicts
  2. Style: Artistic style (minimalist, abstract, photorealistic, illustrated)
  3. Colors: Specific color palette matching the design system
  4. Mood: Atmosphere (professional, playful, elegant, bold)
  5. Context: How it will be used (hero image, icon, texture, illustration)
  6. Technical: Aspect ratio needs, transparency requirements

Integration with Frontend-Design Skill

When used alongside the frontend-design skill:

  1. Plan the visual hierarchy - Identify where generated images add value
  2. Match the aesthetic - Ensure prompts align with the chosen design direction (brutalist, minimalist, maximalist, etc.)
  3. Generate images first - Create visual assets before coding the frontend
  4. Reference in code - Use relative paths to generated images in your HTML/CSS/React

Example Workflow

  1. User requests a landing page with custom hero imagery
  2. Invoke nano-banana-pro to generate the hero image with a prompt matching the design aesthetic
  3. Invoke frontend-design to build the page, referencing the generated image
  4. Result: A cohesive design with custom AI-generated visuals

Output Location

By default, save generated images to the project's assets directory:

  • ./assets/ for simple HTML projects
  • ./src/assets/ or ./public/ for React/Vue projects
  • Use descriptive filenames: hero-abstract-gradient.png, icon-user-avatar.png

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

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

展示第三方安全扫描或审计结果

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

Codex

34.59%
按下载量换算78

Claude

31.96%
按下载量换算72

Cursor

20.22%
按下载量换算45

Gemini CLI

10.04%
按下载量换算23

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

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

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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