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Agent Skill · 效率

morfeo-nano-banana-pro(莫菲奥纳米香蕉专业版)

morfeo-nano-banana-pro 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。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。

morfeo-nano-banana-pro 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 1,377。

总安装 46,414周安装 1,896GitHub Stars 3下载 14,865核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:morfeo-nano-banana-pro(莫菲奥纳米香蕉专业版)
来源仓库:https://github.com/pauldelavallaz/morfeo-nano-banana-pro
安装命令:
openclaw skills install morfeo-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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install morfeo-nano-banana-pro

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

使用 Google 的 Nano Banana Pro (Gemini 3 Pro Image) API 生成和编辑图像。当用户要求生成、创建、编辑、修改、更改、更改或更新图像时使用。当用户引用现有图像文件并要求以任何方式修改它时也可使用(例如,“修改此图像”、“更改背景”、“用 Y 替换 X”)。

支持文本到图像生成和图像到图像编辑,分辨率可配置(默认为 1K,高分辨率为 2K 或 4K)。不要先读取图像文件 - 直接通过 --input-image 参数使用此技能。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install morfeo-nano-banana-pro;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

morfeo-nano-banana-pro 怎么安装?

在终端执行 openclaw skills install morfeo-nano-banana-pro。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

morfeo-nano-banana-pro 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

morfeo-nano-banana-pro 需要什么权限?

权限级别是接触敏感数据。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。

morfeo-nano-banana-pro 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

morfeo-nano-banana-pro 用的人多吗?

公开数据是累计安装 46,414 次,近一周安装 1,896 次,下载 14,865 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

morfeo-nano-banana-pro 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
morfeo-nano-banana-pro

莫菲奥纳米香蕉专业版 · 本页

46,4143接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
nano-banana-pro
description
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.

Nano Banana Pro Image Generation & Editing

Generate new images or edit existing ones using Google's Nano Banana Pro API (Gemini 3 Pro Image).

API Technical Specification

Endpoints & Authentication

Google AI Studio (Public Preview):

POST https://generativelanguage.googleapis.com/v1beta/models/gemini-3-pro-image-preview:generateContent?key=${API_KEY}

Vertex AI (Enterprise):

POST https://${REGION}-aiplatform.googleapis.com/v1/projects/${PROJECT_ID}/locations/${REGION}/publishers/google/models/gemini-3-pro-image-preview:predict

Model IDs

  • API: gemini-3-pro-image-preview
  • SDK interno: nanobanana-pro-001

Parameters

ParameterValuesDescription
aspect_ratio1:1, 4:3, 3:4, 16:9, 9:16Output aspect ratio
output_mime_typeimage/png, image/jpegOutput format
reference_imagesArray (max 14)Reference images for consistency
reference_typeCHARACTER, STYLE, SUBJECTHow to use reference
person_generationALLOW_ADULT, DONT_ALLOW, FILTER_SENSITIVEPerson generation policy
image_size1K, 2K, 4KOutput resolution

Reference Types

  • STYLE: Transfer visual style, color palette, mood from reference
  • CHARACTER: Maintain facial features, traits consistency across images
  • SUBJECT: Keep the subject/product consistent (use for product photography!)

Advanced Capabilities

  • Text Rendering: Native text rendering without spelling errors
  • In-context Editing: Send existing image + modification prompt (automatic in-painting)
  • High Resolution: Native upscale to 4K via upscale: true

Usage

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

Generate new image:

uv run ~/.clawdbot/skills/nano-banana-pro/scripts/generate_image.py \
  --prompt "your image description" \
  --filename "output-name.png" \
  [--resolution 1K|2K|4K] \
  [--api-key KEY]

Edit existing image:

uv run ~/.clawdbot/skills/nano-banana-pro/scripts/generate_image.py \
  --prompt "editing instructions" \
  --filename "output-name.png" \
  --input-image "path/to/input.png" \
  [--resolution 1K|2K|4K]

With reference image (product/style/character consistency):

uv run ~/.clawdbot/skills/nano-banana-pro/scripts/generate_image.py \
  --prompt "your description" \
  --filename "output-name.png" \
  --reference-image "path/to/reference.jpg" \
  --reference-type SUBJECT|STYLE|CHARACTER \
  [--resolution 1K|2K|4K]

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

Resolution Options

  • 1K (default) - ~1024px resolution
  • 2K - ~2048px resolution (recommended for most uses)
  • 4K - ~4096px resolution (high quality)

Map user requests:

  • No mention → 1K
  • "low resolution", "1080", "1080p", "1K" → 1K
  • "2K", "2048", "normal", "medium resolution" → 2K
  • "high resolution", "high-res", "hi-res", "4K", "ultra" → 4K

API Key

The script checks for API key in this order:

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

Filename Generation

Format: {timestamp}-{descriptive-name}.png

  • Timestamp: yyyy-mm-dd-hh-mm-ss (24-hour format)
  • Name: Descriptive lowercase with hyphens

Examples:

  • 2025-11-23-14-23-05-japanese-garden.png
  • 2025-11-23-15-30-12-sunset-mountains.png

Prompt Engineering Framework

You are an expert Prompt Engineer specializing in Nano Banana Pro. Transform basic user ideas and reference images into high-fidelity, descriptive prompts.

1. Input Analysis

When provided with a user idea and reference images, evaluate:

  • Subject Matter: Identify primary actors, objects, or focal points
  • Reference Utility: Determine if image provides composition (layout), style (aesthetic/texture), or character (specific features)
  • Text Requirements: Note any specific text to render within the image

2. Prompt Construction Framework

Structure optimized prompts using this hierarchy:

Core Subject & Action

Clear description of "who" or "what" is doing "what."

Style & Medium

Specify artistic medium:

  • Hyper-realistic photography
  • Oil painting
  • 3D render
  • Minimalist vector
  • Commercial food photography
  • Editorial style

Reference Integration

Explicitly instruct on how to use uploaded images:

"Retain the product packaging from the reference image as the hero element" "Apply the warm lighting aesthetic from Reference A"

Technical Details

Lighting:

  • Cinematic rim lighting
  • Soft diffused sunlight
  • Harsh strobes
  • Warm tungsten lighting
  • Golden hour warmth

Composition:

  • Wide-angle shot
  • Macro detail
  • Bird's-eye view
  • Shallow depth of field
  • Product as hero element

Color Theory:

  • Monochromatic blue
  • High-contrast complementary
  • Warm amber tones
  • Dark moody palette

Text Rendering: Use double quotes for specific text:

"The word 'FUTURE' written in bold, brushed-metal 3D lettering across the center"

3. Optimization Rules

DO:

  • Use descriptive positive language
  • Expand vague terms ("cool" → "iridescent", "pretty" → "ethereal", "realistic" → "photorealistic 8k texture")
  • Maintain consistency with reference images
  • Use powerful adjectives for mood ("gritty," "serene," "industrial," "whimsical")
  • Specify "8k texture detail" or "8k photorealistic detail" for quality

DON'T:

  • Use negative prompts (say what you want, not what you don't)
  • Contradict visual data in reference images
  • Use vague terms without expansion

4. Product Photography Best Practices

When generating images with products as protagonists:

  1. Always use --reference-type SUBJECT to maintain product consistency
  2. Describe the product prominently in the prompt:

> "Milkaut Crematto container with blue label and red lid prominently displayed"

  1. Position product as hero element:

> "the product container as co-star product placement" > "product container in sharp focus"

  1. Include product in scene naturally:

> "positioned next to", "beside", "prominently arranged"

Example Product Photography Prompt:

Hyper-realistic commercial food photography with a [PRODUCT NAME] container 
prominently displayed next to [FOOD ITEM], [food description], 
[setting/background], [lighting style], the [product] as hero element, 
8k photorealistic detail

5. Output Format

Provide the optimized prompt in English, without additional commentary.


Examples

Product + Food Scene

uv run ~/.clawdbot/skills/nano-banana-pro/scripts/generate_image.py \
  --prompt "Hyper-realistic commercial food photography with a Milkaut Crematto container prominently displayed next to a gourmet double smash burger with perfectly melted cheddar cheese cascading down juicy beef patties, artisan brioche bun, wisps of steam rising, dark moody background with dramatic rim lighting, the cream cheese container as hero product placement, 8k texture detail" \
  --filename "2026-01-28-product-burger.png" \
  --reference-image "product-photo.jpg" \
  --reference-type SUBJECT \
  --resolution 2K

Style Transfer

uv run ~/.clawdbot/skills/nano-banana-pro/scripts/generate_image.py \
  --prompt "Using the warm golden hour aesthetic from the reference, create a serene Japanese garden with cherry blossoms, koi pond reflecting soft pink petals, traditional wooden bridge, ethereal morning mist, 8k photorealistic detail" \
  --filename "2026-01-28-japanese-garden.png" \
  --reference-image "style-reference.jpg" \
  --reference-type STYLE \
  --resolution 2K

Image Editing

uv run ~/.clawdbot/skills/nano-banana-pro/scripts/generate_image.py \
  --prompt "Change the background to a dramatic sunset over mountains, maintain the subject in sharp focus" \
  --filename "2026-01-28-edited-sunset.png" \
  --input-image "original.jpg" \
  --resolution 2K

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

平台分布

OpenClaw

87.18%
按下载量换算12,959

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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