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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

272

周安装

11

GitHub Stars

14

下载量

85
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(Nano Banana 图像生成)
来源仓库:https://github.com/connorads/dotfiles
仓库路径:skills/nano-banana
安装命令:
npx skills add https://github.com/connorads/dotfiles --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。

skills.shnpx skills
npx skills add https://github.com/connorads/dotfiles --skill nano-banana

简介

nano-banana 用于图像生成与编辑,基于 Google Gemini 的 Nano Banana 2 模型,提供低成本、高效率的图片创作能力。

  • 它支持新图像生成、现有图像编辑,并允许指定分辨率和输出文件名。
  • 使用时需通过绝对路径运行脚本,不能先切换至技能目录。
  • 安装前建议确认 API 密钥配置、网络访问权限及文件写入范围。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Nano Banana Image Generation & Editing

Generate new images or edit existing ones using Google's Gemini image API.

Default model: Nano Banana 2 (gemini-3.1-flash-image-preview) — cheaper, faster, more features. Legacy model: Nano Banana Pro (gemini-3-pro-image-preview) — available via --model nano-banana-pro, deprecated 9 March 2026.

Usage

Run the script using absolute path (do NOT cd to skill directory first):

Generate new image:

uv run ~/.claude/skills/nano-banana/scripts/generate_image.py --prompt "your image description" --filename "output.png" [--resolution 0.5K|1K|2K|4K] [--aspect-ratio 16:9] [--thinking high] [--api-key KEY]

Edit existing image:

uv run ~/.claude/skills/nano-banana/scripts/generate_image.py --prompt "editing instructions" --filename "output.png" --input-image "path/to/input.png" [--resolution 0.5K|1K|2K|4K] [--api-key KEY]

Multi-reference generation (up to 14 images):

uv run ~/.claude/skills/nano-banana/scripts/generate_image.py --prompt "combine these styles" --filename "output.png" --input-image "ref1.png" --input-image "ref2.png"

Important: Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.

Model Selection

Flag valueModel IDNotes
nano-banana-2 (default)gemini-3.1-flash-image-previewCheaper, faster, 0.5K support, aspect ratio, thinking, 14 ref images
nano-banana-progemini-3-pro-image-previewDeprecated 9 March 2026

Resolution Options

Uppercase K required:

  • 0.5K — ~512px (cheapest, Nano Banana 2 only)
  • 1K (default) — ~1024px
  • 2K — ~2048px
  • 4K — ~4096px

Map user requests:

  • "thumbnail", "small", "cheap", "low resolution" → 0.5K
  • No mention / "1080", "1080p", "1K" → 1K
  • "2K", "2048", "medium resolution" → 2K
  • "high resolution", "high-res", "hi-res", "4K", "ultra" → 4K

When editing, resolution auto-detects from input image size if not specified.

Aspect Ratio

14 supported ratios (Nano Banana 2 only). Omit to let the API decide.

Map user requests:

  • "landscape", "wide" → 16:9
  • "portrait", "phone", "story", "reel" → 9:16
  • "square" → 1:1
  • "cinematic", "ultrawide" → 21:9
  • "photo portrait" → 3:4 or 2:3

Thinking

Controls reasoning effort for complex prompts (Nano Banana 2 only). Omit for fastest/cheapest.

  • --thinking minimal — slightly better quality, low latency impact
  • --thinking high — best for complex composition, text rendering, detailed scenes

Note: thinking tokens are billed regardless of level.

Reference Images

Up to 14 input images via repeated --input-image flags. Use cases:

  • Style transfer — provide style reference + subject
  • Character consistency — provide character reference images
  • Object reference — provide object images to include
  • Image editing — provide single image + editing instructions in prompt

Resolution auto-detects from the first input image when --resolution not specified.

API Key

Checked in order:

  1. --api-key argument
  2. GEMINI_API_KEY environment variable

Filename Generation

Pattern: yyyy-mm-dd-hh-mm-ss-name.png

  • Timestamp: current date/time, 24-hour format
  • Name: descriptive lowercase with hyphens (1-5 words)
  • Unclear context: use random identifier (e.g., x9k2)

Examples:

  • "A serene Japanese garden" → 2026-03-01-14-23-05-japanese-garden.png
  • Unclear → 2026-03-01-17-12-48-x9k2.png

Image Editing

  1. Check if user provides an image path or references an image in the current directory
  2. Use --input-image with the path
  3. Pass editing instructions in --prompt
  4. Common tasks: add/remove elements, change style, adjust colours, blur background

Prompt Handling

For generation: Pass user's image description as-is to --prompt. Only rework if clearly insufficient.

For editing: Pass editing instructions in --prompt (e.g., "add a rainbow in the sky", "make it look like a watercolour painting")

Preserve user's creative intent in both cases.

Output

  • Saves PNG to current directory (or specified path if filename includes directory)
  • Script outputs the full path to the generated image
  • Do not read the image back — just inform the user of the saved path

Pricing (Paid Tier Only)

No free tier for image generation.

Nano Banana 2 (gemini-3.1-flash-image-preview) — default

ResolutionStandardBatch
0.5K (512px)$0.045$0.022
1K$0.067$0.034
2K$0.101$0.050
4K$0.151$0.076

Google Search grounding: 5,000 prompts/month free, then $14/1,000 queries.

Nano Banana Pro (gemini-3-pro-image-preview) — deprecated 9 Mar 2026

ComponentStandardBatch
Input (per image)$0.0011$0.0006
Output 1K/2K$0.134$0.067
Output 4K$0.24$0.12

Examples

Generate with aspect ratio:

uv run ~/.claude/skills/nano-banana/scripts/generate_image.py --prompt "Cinematic landscape at golden hour" --filename "2026-03-01-10-00-00-landscape.png" --resolution 2K --aspect-ratio 21:9

Generate with thinking for complex prompt:

uv run ~/.claude/skills/nano-banana/scripts/generate_image.py --prompt "A detailed infographic about climate change with text labels" --filename "2026-03-01-10-05-00-infographic.png" --thinking high --resolution 4K

Multi-reference style transfer:

uv run ~/.claude/skills/nano-banana/scripts/generate_image.py --prompt "A portrait in this artistic style" --filename "2026-03-01-10-10-00-styled-portrait.png" --input-image "style-ref.png" --input-image "subject.png"

Budget thumbnail:

uv run ~/.claude/skills/nano-banana/scripts/generate_image.py --prompt "Simple icon of a house" --filename "2026-03-01-10-15-00-house-icon.png" --resolution 0.5K

Edit existing image:

uv run ~/.claude/skills/nano-banana/scripts/generate_image.py --prompt "make the sky more dramatic with storm clouds" --filename "2026-03-01-14-25-30-dramatic-sky.png" --input-image "original-photo.jpg" --resolution 2K

Use legacy model:

uv run ~/.claude/skills/nano-banana/scripts/generate_image.py --prompt "A serene Japanese garden" --filename "2026-03-01-14-23-05-japanese-garden.png" --model nano-banana-pro --resolution 4K

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

39.29%
按下载量换算33

Claude

27.76%
按下载量换算24

Cursor

18.78%
按下载量换算16

Gemini CLI

8.73%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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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