Ardot Design To Code

Community

crane-in-clear-sky

ardot_design_to_code

"Use this skill for Ardot canvas tasks that convert a design into frontend code, or extract a design system / style guide from a website. Covers: design-to-code, design → HTML/CSS/JS, export as webpage, pixel-perfect reproduction, generate an Application from a design, slide transitions, responsive scaling; and website → design-guide / design-token extraction. Trigger phrases: convert design to code, design to HTML, export as webpage, pixel-perfect reproduction, design to App, generate Application, create design system from website, extract design tokens, 设计稿转代码, 转为前端代码, 生成HTML, 导出为网页, 一比一还原, 复刻设计稿, 设计稿出码, 设计稿转应用, 转应用, 网站风格转设计稿, 提取设计风格, 生成设计指南, 提取设计 token. Pairs with ardot-design-core (injected alongside)."

Overview

Publisher	crane-in-clear-sky
Repository	`WorkWit-AI-Agent`
Skill name	`ardot_design_to_code`
Stars	118
Forks	5
Bundled files	Instructions only
Links	Skill source Repository

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 Design To Code AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
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_design_to_code
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/crane-in-clear-sky/WorkWit-AI-Agent/tree/main/workwit/backend/builtin_skills/ardot_design_to_code

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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_design_to_code .claude/skills/ardot_design_to_code

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ardot Design To Code 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 Design To Code 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 Design To Code 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 设计转代码，当前系统无 Ardot 画布；方法论可参考，实际产出用沙箱 run_temp_code 生成前端代码。

📎 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 Design-to-Code & Style Extraction

Domain workflows for design → frontend code conversion and website → style-guide extraction on the Ardot canvas.

The general workflow and hard rules live in ardot-design-core, which is injected alongside this skill. Follow ardot-design-core for the step sequence, schema, editing rules, effects, and screenshot verification. This skill carries the specialized conversion/extraction workflows and implementation guidelines.

Specialized Workflows (follow strictly — do NOT improvise the procedure)

Design → frontend code → {SKILL_ROOT}/workflows/design-to-code-workflow.md — design → HTML/CSS/JS, generate Application, to code, slide transitions, responsive scaling.
Website → style guide extraction → {SKILL_ROOT}/workflows/extract-style-guide-from-web.md — pull a design guide / tokens from an existing website.

Implementation Guidelines (load alongside a design-type guideline when generating code)

{SKILL_ROOT}/references/guidelines-code.md — design-to-code implementation rules.
{SKILL_ROOT}/references/guidelines-tailwind.md — Tailwind v4 implementation (load alongside guidelines-code.md).

Files referenced by these workflows that live in the core skill are read from the ardot-design-core skill root — its absolute path is provided in the same prompt that injected this skill. This includes design-rules.md etc. and the shared tool-usage guides (tool-usage/batch-edit.md, tool-usage/apply-variables.md), which now live in ardot-design-core because batch_edit / apply_variables are used by every Ardot task.

Frequently asked questions

What does the Ardot Design To Code AI skill do?

Why use Ardot Design To Code on TypingMind?

Because you install it once and use it with any model. Ardot Design To Code 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 Design To Code 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_design_to_code. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ardot Design To Code?

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 Design To Code?

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

Is the Ardot Design To Code 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Ardot Design-to-Code & Style Extraction

Specialized Workflows (follow strictly — do NOT improvise the procedure)

Implementation Guidelines (load alongside a design-type guideline when generating code)

Frequently asked questions

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