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Agent Skill · 图像处理

image-generation(图像生成)

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。

image-generation 是图像处理类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在图像处理类的 1,562 个 Skill 里排第 181。

总安装 19,545周安装 831GitHub Stars 89下载 6,847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
unknown

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:image-generation(图像生成)
来源仓库:https://github.com/claude-office-skills/skills
仓库路径:skills/image-generation
安装命令:
npx skills add https://github.com/claude-office-skills/skills --skill image-generation
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/claude-office-skills/skills --skill image-generation

这个 Skill 是做什么的

图像处理类 Skill 处理生成、裁剪、压缩和批量转换图片的任务。

用于 AI 图像生成提示词编写,适配 DALL-E、Midjourney 等平台特性。可优化风格关键词、规避负面元素并调整宽高比参数。不直接输出图像,仅提供符合各模型规范的文本指令集。使用时应注明版权归属、商用许可与使用范围限制。

image-generation 属于图像处理类 Skill,可作为该场景下的辅助能力补充。人物、品牌或敏感内容生成需额外审查伦理与法律边界。

来源仓库内路径:skills/image-generation

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/claude-office-skills/skills --skill image-gene…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

image-generation 怎么安装?

在终端执行 npx skills add https://github.com/claude-office-skills/skills --skill image-generation。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

image-generation 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

image-generation 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

image-generation 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

image-generation 用的人多吗?

公开数据是累计安装 19,545 次,近一周安装 831 次,下载 6,847 次,GitHub 89 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。

image-generation 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,想直接扩展它能力的人。
  • 需要处理图像处理类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

图像处理类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
ai-image-generation

AI 图像生成 · Codex、Claude

4,365,552382调用外部服务未明确有提醒
openai-image-gen

OpenAI 图像生成 · OpenClaw

1,906,88432需要联网MIT-0有提醒
image

图像 · OpenClaw

525,99926需要联网MIT-0通过
baoyu-cover-image

宝玉封面图 · Codex、Claude

474,24016,779只读MIT有提醒
baoyu-image-gen

宝玉图像生成器 · Codex、Claude

468,00716,778接触敏感数据MIT通过
image-generation

图像生成 · 本页

19,54589只读未明确通过

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

Image Generation Skill

Overview

I help you create effective prompts for AI image generation tools like DALL-E, Midjourney, and Stable Diffusion. I understand the nuances of different platforms and can help you achieve specific visual styles.

What I can do:

  • Write detailed image generation prompts
  • Optimize prompts for specific AI tools
  • Suggest style keywords and modifiers
  • Create negative prompts to avoid unwanted elements
  • Adapt prompts for different aspect ratios
  • Generate variations and alternatives

What I cannot do:

  • Generate images directly
  • Guarantee exact output from AI tools
  • Predict how AI will interpret prompts
  • Bypass content policies of AI tools

How to Use Me

Step 1: Describe Your Vision

Tell me:

  • What you want to see in the image
  • The purpose (presentation, social media, marketing)
  • Style preferences (realistic, artistic, minimalist)
  • Mood or emotion to convey

Step 2: Choose the Platform

  • DALL-E 3: Best for clarity and instruction-following
  • Midjourney: Best for artistic and aesthetic images
  • Stable Diffusion: Most customizable, local options

Step 3: Specify Parameters

  • Aspect ratio (1:1, 16:9, 4:3, etc.)
  • Quality level
  • Style references
  • Things to avoid

Prompt Engineering Framework

Basic Prompt Structure

[Subject] + [Action/State] + [Environment] + [Style] + [Technical Parameters]

Detailed Template

[Main Subject]
- Who/what is the focus?
- What are they doing?

[Environment/Setting]
- Where is this taking place?
- Time of day? Weather? Season?

[Composition]
- Camera angle (eye-level, bird's eye, low angle)
- Framing (close-up, medium shot, wide shot)
- Focus (depth of field)

[Style]
- Art style (photorealistic, watercolor, oil painting, etc.)
- Artist reference (optional)
- Era/period

[Lighting]
- Type (natural, studio, dramatic, soft)
- Direction (backlit, side-lit, front-lit)

[Color]
- Palette (warm, cool, monochrome)
- Specific colors to include

[Mood/Atmosphere]
- Emotion to evoke
- Overall feeling

[Technical]
- Quality modifiers
- Aspect ratio
- Negative prompts

Platform-Specific Tips

DALL-E 3

Strengths:

  • Follows complex instructions well
  • Good at text in images
  • Natural language understanding

Prompt Style: Write naturally, be descriptive

A professional photograph of a modern office space with floor-to-ceiling
windows overlooking a city skyline at sunset. The room features a minimalist
wooden desk with a laptop, a potted monstera plant, and warm ambient lighting
from a designer floor lamp. The mood is productive yet peaceful.

Midjourney

Strengths:

  • Exceptional aesthetics
  • Strong artistic styles
  • Good at specific looks

Prompt Style: Use keywords, parameters, and style references

modern office space, floor-to-ceiling windows, city skyline sunset,
minimalist wooden desk, monstera plant, warm ambient lighting,
productive atmosphere --ar 16:9 --style raw --v 6

Key Parameters:

  • --ar X:Y Aspect ratio
  • --v 6 Version
  • --style raw Less stylized
  • --q 2 Quality
  • --s 250 Stylize amount

Stable Diffusion

Strengths:

  • Highly customizable
  • Local/private generation
  • Extensive community models

Prompt Style: Weighted tokens, negative prompts essential

(modern office:1.2), (floor-to-ceiling windows:1.1), city skyline,
golden hour sunset, minimalist wooden desk, laptop, monstera plant,
(warm ambient lighting:1.3), professional photograph, 8k, detailed

Negative: cartoon, drawing, illustration, (worst quality:1.4),
(low quality:1.4), blurry, watermark

Style Keywords Reference

Photography Styles

StyleKeywords
Portraitportrait photography, headshot, bokeh, 85mm lens
Productproduct photography, studio lighting, white background
Landscapelandscape photography, golden hour, dramatic sky
Streetstreet photography, candid, urban, documentary
Fashionfashion editorial, vogue style, high fashion

Art Styles

StyleKeywords
Realisticphotorealistic, hyperrealistic, 8k, detailed
Illustrationdigital illustration, vector art, flat design
Watercolorwatercolor painting, soft edges, flowing colors
Oil Paintingoil painting, brush strokes, impasto
Animeanime style, manga, cel shading
3D Render3D render, octane render, blender, CGI

Mood/Atmosphere

MoodKeywords
Professionalcorporate, business, clean, modern
Cozywarm, inviting, comfortable, hygge
Dramaticcinematic, high contrast, moody lighting
Cheerfulbright, colorful, happy, vibrant
Minimalistsimple, clean, whitespace, zen

Lighting

TypeKeywords
Naturalnatural light, soft daylight, golden hour
Studiostudio lighting, softbox, rim light
Dramaticchiaroscuro, dramatic shadows, volumetric
Neonneon lights, cyberpunk, colorful glow

Output Format

# Image Generation Prompts: [Concept]

**Purpose**: [What the image is for]
**Target Platform**: [DALL-E / Midjourney / SD]
**Aspect Ratio**: [X:Y]

---

## Primary Prompt

### For DALL-E 3:

[Natural language prompt with full description]

### For Midjourney:

[Keyword-based prompt with parameters]

### For Stable Diffusion:

[Weighted prompt]

Negative: [Things to avoid]

---

## Variations

### Variation 1: [Description]

[Prompt]

### Variation 2: [Description]

[Prompt]

### Variation 3: [Description]

[Prompt]

---

## Style Alternatives

### Option A: [Style Name]
Add these keywords: `[keywords]`

### Option B: [Style Name]
Add these keywords: `[keywords]`

---

## Tips for This Image

1. [Specific tip for achieving desired result]
2. [Tip]
3. [Tip]

---

## Iteration Suggestions

If the result isn't quite right:
- Try: [Adjustment 1]
- Try: [Adjustment 2]
- Try: [Adjustment 3]

Common Use Cases

Business/Corporate

Professional headshot, corporate portrait, business casual attire,
neutral background, studio lighting, confident expression,
sharp focus, high resolution

Marketing/Social Media

Lifestyle product photography, natural setting, soft natural light,
pastel color palette, Instagram aesthetic, flat lay composition,
millennial pink, minimalist

Presentation Graphics

Abstract business concept, isometric illustration, blue and white
color scheme, clean design, corporate style, flat design,
technology theme, professional

Blog/Article Headers

Wide banner image, [topic] concept art, editorial style,
cinematic composition, 16:9 aspect ratio, headline-friendly
(space for text overlay), muted colors

Tips for Better Results

  1. Be specific - "golden retriever" > "dog"
  2. Describe what you want, not what you don't (use negative prompts separately)
  3. Use quality modifiers - "professional", "detailed", "8k"
  4. Reference styles - "in the style of [artist/genre]"
  5. Specify composition - "close-up", "wide shot", "bird's eye view"
  6. Include lighting - dramatically affects mood
  7. Iterate - refine based on results
  8. Use consistent seeds for variations (when possible)

Limitations

  • Cannot generate images directly
  • Results vary between AI platforms
  • Some concepts are restricted by platform policies
  • Exact output is unpredictable
  • May require multiple iterations

*Built by the Claude Office Skills community. Contributions welcome!*

平台分布

Codex

37.81%
按下载量换算2,589

Claude

29.7%
按下载量换算2,034

Cursor

19.38%
按下载量换算1,327

Gemini CLI

9.6%
按下载量换算657

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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