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skywork-design天空设计

Agent Skill

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。

总安装

17,641

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10,701
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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:skywork-design(天空设计)
来源仓库:https://github.com/skyworkai/skywork-skills
仓库路径:skills/skywork-design
安装命令:
npx skills add https://github.com/skyworkai/skywork-skills --skill '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 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/skyworkai/skywork-skills --skill 'Skywork Design'

简介

skywork-design 用于辅助界面设计、视觉规范和布局优化。

  • 适合让 Agent 整理页面结构、生成 UI 方案或改进组件层级。
  • 使用时需结合现有品牌和用户任务,避免堆砌装饰元素。
  • 涉及真实页面改动时应通过截图检查文本溢出和对齐表现。
  • 适用于响应式设计和交互体验提升场景。skywork-design 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

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 in OpenClaw.

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

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02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

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能力 3

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能力 4

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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

34.28%
按下载量换算3,668

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30.31%
按下载量换算3,243

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17.77%
按下载量换算1,902

Gemini CLI

8.46%
按下载量换算905

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敏感数据

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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。

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