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Agent Skill · 开发

skywork-design(天空设计)

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。

skywork-design 是开发类 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,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 1,035。

总安装 43,068周安装 1,850GitHub Stars 19下载 15,096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
1.0.8

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:skywork-design(天空设计)
来源仓库:https://github.com/gxcun17/skywork-design
安装命令:
openclaw skills install skywork-design
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 skywork-design

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

skywork-design 用于图像生成与编辑,支持海报、徽标和视觉资产生成。适合在 OpenClaw 中辅助界面设计、品牌物料制作或创意内容产出。通过 clawhub 安装,需调用 Skywork Image API 并遵循其约束条件。安装前应确认 API 密钥和配额,避免超限导致服务不可用。

生成结果需人工校验,确保符合品牌规范和设计意图。

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 skywork-design;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

skywork-design 怎么安装?

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

skywork-design 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。

skywork-design 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。

skywork-design 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。

skywork-design 用的人多吗?

公开数据是累计安装 43,068 次,近一周安装 1,850 次,下载 15,096 次,GitHub 19 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。

skywork-design 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

  • 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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
skywork-design

天空设计 · 本页

43,06819接触敏感数据MIT-0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

name
Skywork Design
description
Skywork Design (skywork) - Generate or edit images via the Skywork Image API. Use for image creation, poster design, logo design, visual asset generation, or image modification requests. Supports text-to-image and image-to-image editing with aspect ratio and resolution control.
metadata
openclaw
requires
bins
env
primaryEnv
SKYWORK_API_KEY

Visual Design — Image Generation & Editing

Generate new images or edit existing ones via the backend image API. Be patient, it takes about 2 minutes to generate an image each time.


Prerequisites

API Key Configuration (Required First)

This skill requires a SKYWORK_API_KEY to be configured before use.

If you don't have an API key yet, please visit: https://skywork.ai

For detailed setup instructions, see: references/apikey-fetch.md

Usage

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

Generate new image:

python3 <SKILL_DIR>/scripts/generate_image.py --prompt "description" --filename "output.png" [--aspect-ratio 3:4] [--resolution 1K|2K|4K]

Edit existing image:

python3 <SKILL_DIR>/scripts/generate_image.py --prompt "edit instructions" --filename "output.png" --input-image "source.png" [--aspect-ratio 3:4] [--resolution 2K]

Edit with multiple reference images:

python3 <SKILL_DIR>/scripts/generate_image.py --prompt "combine these styles" --filename "output.png" -i "ref1.png" -i "ref2.png"

Always run from the user's working directory so images save there.

When to Generate vs Edit

  • Generation (--prompt only): Creating new images from scratch — posters, logos, illustrations, photos, infographics.
  • Editing (--prompt + --input-image): User provides existing image(s) and wants modifications — style changes, element addition/removal, color adjustments, format conversion.

- Notice: Edit api supports character resemblance of up to 4 characters and the fidelity of up to 10 objects in a single workflow

If the user uploads/references images and wants changes, always use --input-image.

Resolution

  • 1K — ~1024px, fast drafts
  • 2K (default) — ~2048px, good for most deliverables
  • 4K — ~4096px, final high-res output

Map user requests: "low/draft" → 1K, "normal/medium/2K" → 2K, "high-res/hi-res/4K/ultra" → 4K.

Aspect Ratio

Supported ratios: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9.

Selection guidance:

  • 1:1 — Social media avatars, icons, album covers
  • 3:4 / 4:3 — General posters, presentations
  • 4:5 / 5:4 — Instagram posts, portraits
  • 9:16 / 16:9 — Mobile stories / desktop wallpapers, video covers
  • 2:3 / 3:2 — Print posters, book covers
  • 21:9 — Ultra-wide banners, cinema format

If the user doesn't specify, omit --aspect-ratio and let the API decide.

Filename Convention

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

Examples:

  • "A serene Japanese garden" → 2026-03-10-14-23-05-japanese-garden.png
  • "sunset over mountains" → 2026-03-10-15-30-12-sunset-mountains.png
  • Unclear context → 2026-03-10-17-12-48-x9k2.png

Preflight

  • command -v python3 (must exist)
  • If editing: verify each --input-image file exists

Common Failures

  • Error: Input image not found: → wrong path; verify --input-image file exists
  • HTTP error 500 → backend service error; retry or check server status
  • Request failed: Connection refused → backend service unavailable; ensure the service is running
  • Insufficient benefit: The script or log may show a message like Insufficient benefit. Please upgrade your account at {url}, meaning the user's benefit level does not meet the requirement for this skill.

How to reply when benefit is insufficient

When you detect the above, reply in the user's current language — do not echo the English message. Use this pattern:

  • Convey: "Sorry, image generation failed. This skill requires upgrading your Skywork membership to use." then a single call-to-action link.
  • Format: One short sentence in the user's language + a link like [Upgrade now →](url) or the equivalent in their language.
  • URL: Extract the upgrade URL from the log/script output (e.g. the at https://... part).
Note: Only suggest upgrading when the error is Insufficient benefit. For auth errors like NO_TOKEN / INVALID_TOKEN / 401 / “invalid API key”, keep the error code / raw message and guide users to update SKYWORK_API_KEY. Do not suggest upgrading membership.

Output

  • Script prints the local file path and the OSS URL.
  • Depending on the platform, use the most appropriate way to deliver the image (e.g. send as image message, display inline, or print the URLs). By default, return both the local path and OSS URL to the user. The OSS URL ensures cross-platform accessibility.

Design Scenarios

Match the user's request to a scenario and read the corresponding file for specialized workflow:

Prompt Engineering

Prompts Best Practices

Follow these principles for quality prompts using the image API for generation or editing:

  • Describe the scene, don't just list keywords. A narrative, descriptive paragraph produces much better results than disconnected words. The model's core strength is deep language understanding.

- Weak: "cat, sunset, beach" - Strong: "A ginger tabby cat sitting on a sandy beach at golden hour, facing the camera with soft warm backlighting, shallow depth of field, ocean waves blurred in the background"

  • Be hyper-specific. The more detail you provide, the more control you have. Include all visual details: style, colors, composition, lighting, background, textures.
  • Provide context and intent. Explain the purpose of the image — the model's understanding of context influences the output.
  • Use step-by-step instructions for complex scenes with many elements. Break the prompt into layers: foreground, middle ground, background.
  • Use "semantic negative prompts." Instead of "no cars," describe positively: "an empty, deserted street with no signs of traffic."
  • Control the camera. Use photographic and cinematic terms: "wide-angle shot", "macro shot", "low-angle perspective", "bird's eye view", "rule of thirds", "shallow depth of field".
  • Time perception. If the result needs real-time timeliness, mention the current time context in the prompt.
  • Text in images. Place text content within double quotation marks:

> A movie poster with the title "INCEPTION" in large silver metallic letters at the top

  • Clearly specify and emphasize the elements that require modification. Describe reference images by their order (first image, second image), not by filename.

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

90.53%
按下载量换算13,666

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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