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Agent Skill · 图像处理

design-image-studio(设计影像工作室)

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

design-image-studio 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,第三方扫描有提醒项,按安装量在图像处理类的 1,562 个 Skill 里排第 1,394。

总安装 356周安装 15GitHub Stars 88下载 125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:design-image-studio(设计影像工作室)
来源仓库:https://github.com/kangarooking/design-image-studio
仓库路径:skills/design-image-studio
安装命令:
npx skills add https://github.com/kangarooking/design-image-studio --skill design-image-studio
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/kangarooking/design-image-studio --skill design-image-studio

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。

用于生成高质量设计图像,基于 Claude 设计系统编译图像模型提示词。适合将设计逻辑转化为简洁的图像生成指令,保持视觉风格一致。使用时需优先读取 claude-design-sys-prompt-full.txt 作为主要设计依据。

安装方式:GitHub,命令为 npx skills add https://github.com/kangarooking/design-image-studio --skill design-image-studio。注意:依赖本地设计系统文件,确保引用路径正确以避免生成偏差。

来源仓库内路径:skills/design-image-studio

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/kangarooking/design-image-studio --skill desig…;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

design-image-studio 怎么安装?

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

design-image-studio 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。

design-image-studio 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。

design-image-studio 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。

design-image-studio 用的人多吗?

公开数据是累计安装 356 次,近一周安装 15 次,下载 125 次,GitHub 88 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。

design-image-studio 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 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 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
design-image-studio

设计影像工作室 · 本页

35688只读未明确有提醒

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

Design Image Studio

Generate design-quality images directly. This skill preserves the full Claude design-system prompt as the upstream design brain, then compiles that design logic into a shorter image-model prompt.

Primary Source of Truth

Do not treat references/design-principles.md as the whole design system. It is only an index.

The primary design source is:

  • references/claude-design-sys-prompt-full.txt

Always read that file first for substantive design work. Then use:

  • references/claude-design-map.md
  • references/design-compiler.md
  • the task-specific reference file for the current request

This skill should preserve as much of the original design-system prompt as possible at the reasoning layer, while stripping away HTML/tool-specific noise before handing a prompt to the image model.

When to Use

Use this skill when the user wants any of the following:

  • Poster generation
  • Product hero images, ad visuals, or e-commerce scenes
  • PPT cover art, chapter art, or slide illustrations
  • Infographic-style visuals
  • Teaching/demo diagrams or explanatory scenes
  • Visual concept exploration with stronger art direction than a generic image prompt

Do not use this skill for pixel-accurate UI recreation, editable charts, or layouts that require precise text rendering. For those, generate HTML/SVG/PPT assets instead.

Default Workflow

  1. Classify the request into one of: poster, product, ppt, infographic, teaching, or auto
  2. Read the full design system prompt:

- references/claude-design-sys-prompt-full.txt

  1. Read the compiler references:

- references/claude-design-map.md - references/design-compiler.md - references/model-routing.md

  1. Read the matching task file, such as references/poster.md
  2. If the user wants refinement or the first result is weak, also read:

- references/anti-slop-and-failure-patterns.md

  1. Compile the full design system into a design_reasoning layer:

- purpose - audience - channel - context/brand strategy - visual system - hierarchy strategy - safe-zone or text-zone logic - anti-filler rules - anti-slop rules - task-specific design constraints

  1. Condense the reasoning into a compiled_brief
  2. Translate the compiled brief into the shortest useful image prompt
  3. Run scripts/design_image.py to generate directly, unless the user explicitly asks for prompt-only output
  4. Iterate by changing one major variable at a time: direction, hierarchy, palette, lighting, realism, or density

What Must Be Preserved From the Full Prompt

These must survive the compilation process:

  • Start from purpose, audience, and channel
  • Create a coherent visual system up front
  • Treat hierarchy and whitespace as design decisions
  • Avoid filler content and decorative noise
  • Avoid AI-slop tropes
  • Respect brand/context when available
  • If no context exists, still commit to a strong direction instead of averaging styles
  • Prefer multiple directions for ambiguous work, usually conservative, balanced, and bold

Primary Command

Use the wrapper script first. It is the opinionated entry point for this skill.

python3 scripts/design_image.py \
  --task poster \
  --brief "为 AI 训练营生成一张高冲击力招生海报,强调增长、实战和速度" \
  --direction balanced \
  --aspect 3:4 \
  --quality final \
  --output training-poster.png

Prompt-Only Mode

If the user only wants prompts, do:

python3 scripts/design_image.py \
  --task product \
  --brief "高端陶瓷咖啡杯广告图,适合电商首图" \
  --prompt-only

The wrapper prints:

  • design_reasoning
  • compiled_brief
  • final prompt

Use those intermediate layers to judge whether the full design-system prompt has actually been preserved.

Task References

  • references/poster.md — posters, key visuals, covers
  • references/product-image.md — product ads, hero shots, e-commerce visuals
  • references/ppt-visual.md — slide cover art, chapter visuals, concept illustrations
  • references/infographic.md — infographic-like visuals and structured information compositions
  • references/teaching-demo.md — educational and explanatory diagrams/scenes
  • references/claude-design-map.md — which sections of the full design prompt matter for image generation
  • references/design-compiler.md — how to compile the full prompt into design reasoning, a compiled brief, and a final image prompt

Execution Notes

  • Prefer Seedream 5.0 lite as the default final model
  • Use lower-cost draft settings before premium reruns when the direction is still unclear
  • Use image-to-image or multi-image fusion when the user provides source materials
  • For infographic or teaching visuals, avoid asking the model to render dense, tiny text accurately; prefer text placeholders or low-text compositions
  • The wrapper script is not the design brain; it is the compiler between the full design system and the image model
  • Do not collapse the full design prompt into a few style adjectives unless the user explicitly wants a minimal prompt

Files

  • scripts/design_image.py — design compiler and prompt builder
  • scripts/generate.py — bundled Volcengine generation engine
  • references/claude-design-sys-prompt-full.txt — full upstream design-system prompt
  • references/claude-design-map.md — section map for image use
  • references/design-compiler.md — compilation workflow
  • references/models.md — model and resolution reference
  • references/troubleshooting.md — common error handling

平台分布

Codex

35.09%
按下载量换算44

Claude

31.9%
按下载量换算40

Cursor

17.89%
按下载量换算22

Gemini CLI

8.28%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。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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