Token导航 LogoToken导航TokenDH.com
待分类敏感数据github未标认证来源可访问clear审计通过

nano-bananaNano Banana 图像生成

Agent Skill

nano-banana 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

65

周安装

17

GitHub Stars

19

下载量

140
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

3

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/roasbeef/claude-files
仓库路径:skills/nano-banana
安装命令:
npx skills add https://github.com/roasbeef/claude-files --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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/roasbeef/claude-files --skill nano-banana

简介

用于处理 GitHub 仓库与协作信息,支持 Issue 与 PR 管理。

  • 可提取仓库状态与代码变更详情,辅助开发流程跟踪。
  • 通过 npx 命令从 claude-files 仓库安装,路径明确。
  • 分类标记为“待分类”,建议查看原始文档确认实际功能。
  • nano-banana 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Nano Banana - Gemini Image Generation

This skill provides comprehensive access to Gemini's image generation capabilities, including text-to-image generation, image editing, multi-turn refinement, batch processing, and high-resolution output.

Prerequisites

  • API key set as GOOGLE_API_KEY or GEMINI_API_KEY environment variable
  • The scripts include a bundled virtual environment (.venv/) with google-genai pre-installed
  • Scripts can be called directly: ~/.claude/skills/nano-banana/scripts/generate_image.py

Available Models

ModelIDBest For
Flashgemini-2.5-flash-imageFast generation, high volume, low latency
Progemini-3-pro-image-previewProfessional quality, 4K, advanced reasoning

Capabilities Overview

CapabilityScriptDescription
Image Generationgenerate_image.pyCreate images from text prompts
Image Editingedit_image.pyModify existing images with instructions
Batch Generationbatch_generate.pyGenerate multiple images in parallel
Multi-turn Editingchat_session.pyIterative refinement via conversation

Quick Start

Generate a Single Image

python scripts/generate_image.py "a sunset over mountains" sunset.png

With options:

python scripts/generate_image.py "modern office" office.png --model pro --aspect 16:9 --size 4K

Edit an Existing Image

python scripts/edit_image.py photo.png "remove the background" result.png

Batch Generation

Create a prompts file (prompts.json):

[
    {"prompt": "slide 1: intro graphic", "filename": "slide_01.png", "aspect": "16:9"},
    {"prompt": "slide 2: data visualization", "filename": "slide_02.png", "aspect": "16:9"}
]

Generate all:

python scripts/batch_generate.py prompts.json ./output/ --parallel 3

Or use a simple text file (one prompt per line):

python scripts/batch_generate.py prompts.txt ./output/ --aspect 16:9

Multi-turn Editing Session

Start an interactive session:

python scripts/chat_session.py --output-dir ./images/

Resume a previous session:

python scripts/chat_session.py --session-file session.json

Send a single refinement:

python scripts/chat_session.py --session-file session.json --message "make it more vibrant"

Script Reference

generate_image.py

Generate a single image from a text prompt.

Usage: python scripts/generate_image.py "prompt" output.png [options]

Options:
  --model, -m    Model: flash (default) or pro
  --aspect, -a   Aspect ratio: 1:1 (default), 16:9, 9:16, 21:9, 4:3, 3:4
  --size, -s     Resolution (pro only): 1K, 2K, 4K

edit_image.py

Edit an existing image using text instructions.

Usage: python scripts/edit_image.py input.png "instructions" output.png [options]

Options:
  --model, -m    Model: flash (default) or pro

batch_generate.py

Generate multiple images from a prompts file.

Usage: python scripts/batch_generate.py prompts.json output_dir/ [options]

Options:
  --model, -m     Model: flash (default) or pro
  --aspect, -a    Default aspect ratio: 1:1 (default)
  --parallel, -p  Number of parallel workers: 1 (default)
  --json          Output results as JSON

chat_session.py

Multi-turn image generation/editing session.

Usage: python scripts/chat_session.py [options]

Options:
  --model, -m        Model: flash (default) or pro
  --session-file, -s Path to session state file (JSON)
  --output-dir, -o   Directory for output images: . (default)
  --initial, -i      Initial prompt to start with
  --message          Send single message (non-interactive)

Best Practices

Prompting Tips

  1. Be specific: "A red sports car on a mountain road at sunset" works better than "a car".
  2. Describe style: Include art style, mood, lighting, and camera angle.
  3. Use negative space: Describe what should NOT be in the image when needed.

Editing Tips

  1. Target specific elements: "Change only the sky to purple" is better than "make it purple".
  2. Reference the original: "Keep the composition but change the color scheme".
  3. Iterative refinement: Use multi-turn sessions for complex edits.

Performance

  • Use flash model for quick iterations and high volume.
  • Use pro model for final production assets and 4K output.
  • Use batch generation with --parallel for multiple images.

Additional Resources

For detailed API documentation, see references/gemini-api.md. For prompting techniques, see references/prompt-guide.md. For common editing patterns, see references/editing-patterns.md.

适合场景

01

文本生成图片

02

图片风格化

03

产品图和创意图

04

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

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

Claude Code

30.54%
按下载量换算43

Antigravity

22.45%
按下载量换算31

Gemini CLI

15.51%
按下载量换算22

windsurf

12.95%
按下载量换算18

trae

6.85%
按下载量换算10

OpenCode

3.19%
按下载量换算4

安全审计

Gen Agent Trust Hub

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。

来源信息

继续浏览同类 Skills