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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

43,068

周安装

1,850

GitHub Stars

19

下载量

15,096
OpenClaw

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

MIT-0

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/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

简介

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。

SKILL.md

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

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

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

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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