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generate-image生成图像

Agent Skill

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

总安装

3,574

周安装

146

GitHub Stars

19,838

下载量

1,156
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:generate-image(生成图像)
来源仓库:https://github.com/k-dense-ai/scientific-agent-skills
仓库路径:skills/generate-image
安装命令:
npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill generate-image
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/k-dense-ai/scientific-agent-skills --skill generate-image

简介

generate-image 用于辅助图像生成、编辑和视觉素材处理。

  • 适合让 Agent 根据文本生成图片或调用图像工具完成工作流。
  • 使用时需确认输入图片、版权来源及输出格式限制。
  • 涉及人物或品牌素材时应核对授权与内容合规边界。
  • 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

Generate Image

Generate and edit high-quality images using OpenRouter's image generation models including FLUX.2 Pro and Gemini 3.1 Flash Image Preview.

When to Use This Skill

Use generate-image for:

  • Photos and photorealistic images
  • Artistic illustrations and artwork
  • Concept art and visual concepts
  • Visual assets for presentations or documents
  • Image editing and modifications
  • Any general-purpose image generation needs

Use scientific-schematics instead for:

  • Flowcharts and process diagrams
  • Circuit diagrams and electrical schematics
  • Biological pathways and signaling cascades
  • System architecture diagrams
  • CONSORT diagrams and methodology flowcharts
  • Any technical/schematic diagrams

Quick Start

Use the scripts/generate_image.py script to generate or edit images:

# Generate a new image
python scripts/generate_image.py "A beautiful sunset over mountains"

# Edit an existing image
python scripts/generate_image.py "Make the sky purple" --input photo.jpg

This generates/edits an image and saves it as generated_image.png in the current directory.

API Key Setup

CRITICAL: The script requires an OpenRouter API key. Before running, check if the user has configured their API key:

  1. Look for a .env file in the project directory or parent directories
  2. Check for OPENROUTER_API_KEY=<key> in the .env file
  3. If not found, inform the user they need to:

- Create a .env file with OPENROUTER_API_KEY=your-api-key-here - Or set the environment variable: export OPENROUTER_API_KEY=your-api-key-here - Get an API key from: https://openrouter.ai/keys

The script will automatically detect the .env file and provide clear error messages if the API key is missing.

Model Selection

Default model: google/gemini-3.1-flash-image-preview (high quality, recommended)

Available models for generation and editing:

  • google/gemini-3.1-flash-image-preview - High quality, supports generation + editing
  • black-forest-labs/flux.2-pro - Fast, high quality, supports generation + editing

Generation only:

  • black-forest-labs/flux.2-flex - Fast and cheap, but not as high quality as pro

Select based on:

  • Quality: Use gemini-3.1-flash-image-preview or flux.2-pro
  • Editing: Use gemini-3.1-flash-image-preview or flux.2-pro (both support image editing)
  • Cost: Use flux.2-flex for generation only

Common Usage Patterns

Basic generation

python scripts/generate_image.py "Your prompt here"

Specify model

python scripts/generate_image.py "A cat in space" --model "black-forest-labs/flux.2-pro"

Custom output path

python scripts/generate_image.py "Abstract art" --output artwork.png

Edit an existing image

python scripts/generate_image.py "Make the background blue" --input photo.jpg

Edit with a specific model

python scripts/generate_image.py "Add sunglasses to the person" --input portrait.png --model "black-forest-labs/flux.2-pro"

Edit with custom output

python scripts/generate_image.py "Remove the text from the image" --input screenshot.png --output cleaned.png

Multiple images

Run the script multiple times with different prompts or output paths:

python scripts/generate_image.py "Image 1 description" --output image1.png
python scripts/generate_image.py "Image 2 description" --output image2.png

Script Parameters

  • prompt (required): Text description of the image to generate, or editing instructions
  • --input or -i: Input image path for editing (enables edit mode)
  • --model or -m: OpenRouter model ID (default: google/gemini-3.1-flash-image-preview)
  • --output or -o: Output file path (default: generated_image.png)
  • --api-key: OpenRouter API key (overrides.env file)

Example Use Cases

For Scientific Documents

# Generate a conceptual illustration for a paper
python scripts/generate_image.py "Microscopic view of cancer cells being attacked by immunotherapy agents, scientific illustration style" --output figures/immunotherapy_concept.png

# Create a visual for a presentation
python scripts/generate_image.py "DNA double helix structure with highlighted mutation site, modern scientific visualization" --output slides/dna_mutation.png

For Presentations and Posters

# Title slide background
python scripts/generate_image.py "Abstract blue and white background with subtle molecular patterns, professional presentation style" --output slides/background.png

# Poster hero image
python scripts/generate_image.py "Laboratory setting with modern equipment, photorealistic, well-lit" --output poster/hero.png

For General Visual Content

# Website or documentation images
python scripts/generate_image.py "Professional team collaboration around a digital whiteboard, modern office" --output docs/team_collaboration.png

# Marketing materials
python scripts/generate_image.py "Futuristic AI brain concept with glowing neural networks" --output marketing/ai_concept.png

Error Handling

The script provides clear error messages for:

  • Missing API key (with setup instructions)
  • API errors (with status codes)
  • Unexpected response formats
  • Missing dependencies (requests library)

If the script fails, read the error message and address the issue before retrying.

Notes

  • Images are returned as base64-encoded data URLs and automatically saved as PNG files
  • The script supports both images and content response formats from different OpenRouter models
  • Generation time varies by model (typically 5-30 seconds)
  • For image editing, the input image is encoded as base64 and sent to the model
  • Supported input image formats: PNG, JPEG, GIF, WebP
  • Check OpenRouter pricing for cost information: https://openrouter.ai/models

Image Editing Tips

  • Be specific about what changes you want (e.g., "change the sky to sunset colors" vs "edit the sky")
  • Reference specific elements in the image when possible
  • For best results, use clear and detailed editing instructions
  • Both Gemini 3.1 Flash Image Preview and FLUX.2 Pro support image editing through OpenRouter

Integration with Other Skills

  • scientific-schematics: Use for technical diagrams, flowcharts, circuits, pathways
  • generate-image: Use for photos, illustrations, artwork, visual concepts
  • scientific-slides: Combine with generate-image for visually rich presentations
  • latex-posters: Use generate-image for poster visuals and hero images

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

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

32.93%
按下载量换算381

Claude

29.47%
按下载量换算341

Cursor

19.12%
按下载量换算221

Gemini CLI

8.56%
按下载量换算99

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。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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