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Ardot Ui Design

Community
crane-in-clear-sky
ardot_ui_design

"Use this skill for Ardot canvas design tasks whose deliverable is a UI / interface design — web pages, web apps, dashboards, landing pages, marketing sites, official sites, homepages, mobile app screens (iOS / Android / 小程序), forms, tables, components, and design systems / design tokens / component libraries. Trigger phrases: generate/create/design a page, design a screen, create a landing page, make a dashboard, design a login screen, build a UI, generate homepage, design a form, design an App, WebApp, 设计页面, 创建界面, 生成页面, 生成网站, 设计App, 做一个页面, 画一个页面, 设计后台, 组件库规范, 设计系统, Design System, Design Token, 移动端, 手机App, 小程序. Pairs with ardot-design-core (injected alongside). NOT for slides/posters/design-to-code (separate Ardot skills) and NOT for PowerPoint .pptx files (pptx skill)."

Overview

Publishercrane-in-clear-sky
RepositoryWorkWit-AI-Agent
Skill nameardot_ui_design
Stars
118
Forks
5
Bundled files
Instructions only
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by crane-in-clear-sky on GitHub. Read the source before you install it.

Installation

Install the Ardot Ui Design AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/crane-in-clear-sky/WorkWit-AI-Agent/tree/main/workwit/backend/builtin_skills/ardot_ui_design
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/crane-in-clear-sky/WorkWit-AI-Agent.git /tmp/WorkWit-AI-Agent
mkdir -p .claude/skills
cp -r /tmp/WorkWit-AI-Agent/workwit/backend/builtin_skills/ardot_ui_design .claude/skills/ardot_ui_design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ardot Ui Design in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ardot Ui Design on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ardot Ui Design is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

⚠️ 环境适配：本技能面向 Ardot UI 画布，当前系统无画布；UI 视觉稿产出用 generate_image 辅助，方法论可参考。

📎 参考文件说明：正文中引用的 references/、rules/、workflows/ 等子文件未随技能导入（系统仅存单 SKILL.md），请直接依据本文方法论执行，不要尝试读取不存在的参考文件。

Ardot UI Design

Domain guidelines for UI / interface deliverables on the Ardot canvas: web pages, web apps, dashboards, landing pages, mobile app screens, tables, forms, components, and design systems.

The general workflow and hard rules live in ardot-design-core, which is injected alongside this skill. This skill only adds the domain-specific guidelines for UI work. Follow ardot-design-core for the step sequence (Step 0 file-open → Step 8 validate), schema, editing rules, effects, and screenshot verification.

Domain Guidelines (load in Step 3)

Load one or more guideline based on the deliverable, first match wins:

PriorityTriggerFile
1any mobile app design task — mobile, app, iOS, Android, app UI, 移动端, 手机 App, 移动应用, 小程序{SKILL_ROOT}/references/guidelines-mobile-app.md
2any website task — landing, marketing, SaaS, product site, official site, homepage, 网站, 官网, 落地页, 营销{SKILL_ROOT}/references/guidelines-landing-page.md
3table, dashboard with tables, 表格{SKILL_ROOT}/references/guidelines-table.md
4(web app / design system / generic UI, default){SKILL_ROOT}/references/guidelines-web-app.md
  • Design system / component library / design tokens tasks use the default guidelines-web-app.md as the base, applying the same component/typography/color discipline at library scope (build a token set, component states, spacing scale).
  • Image-to-UI (reproducing a UI from a reference image): follow the same guidelines, but treat the supplied image as the layout/visual source of truth and reproduce its structure faithfully before restyling.

When code generation is also involved, load guidelines-code.md / guidelines-tailwind.md from the ardot-design-to-code skill alongside the chosen guideline above.

Frequently asked questions

What does the Ardot Ui Design AI skill do?

"Use this skill for Ardot canvas design tasks whose deliverable is a UI / interface design — web pages, web apps, dashboards, landing pages, marketing sites, official sites, homepages, mobile app screens (iOS / Android / 小程序), forms, tables, components, and design systems / design tokens / component libraries. Trigger phrases: generate/create/design a page, design a screen, create a landing page, make a dashboard, design a login screen, build a UI, generate homepage, design a form, design an App, WebApp, 设计页面, 创建界面, 生成页面, 生成网站, 设计App, 做一个页面, 画一个页面, 设计后台, 组件库规范, 设计系统, Design System, Design T...

Why use Ardot Ui Design on TypingMind?

Because you install it once and use it with any model. Ardot Ui Design is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ardot Ui Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/crane-in-clear-sky/WorkWit-AI-Agent/tree/main/workwit/backend/builtin_skills/ardot_ui_design. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ardot Ui Design?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ardot Ui Design?

As many as you like. As long as a model supports skills, you can use Ardot Ui Design with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ardot Ui Design AI skill free?

It is published on GitHub by crane-in-clear-sky. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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