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Dryui Build

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rob-balfre
dryui-build

Experimental DryUI layout-only skill that prioritizes app shell chrome, rails, and persistent navigation before content blocks. Use when testing responsive page layout extraction from web app screenshots.

Overview

Publisherrob-balfre
Repositorydryui
Skill namedryui-build
Stars
9
Forks
0
Bundled files
Instructions only
LicenseMIT
Links
  • 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 rob-balfre on GitHub. Read the source before you install it.

Installation

Install the Dryui Build 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/rob-balfre/dryui/tree/main/reports/skill-experiments/2026-05-11/batch-6/v2-chrome-first
  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/rob-balfre/dryui.git /tmp/dryui
mkdir -p .claude/skills
cp -r /tmp/dryui/reports/skill-experiments/2026-05-11/batch-6/v2-chrome-first .claude/skills/dryui-build
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dryui Build 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 Dryui Build 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 Dryui Build 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.

DryUI Layout Blocks: Chrome First

Build a layout-only colored block prototype. Do not build the actual app UI.

Edit only src/routes/+page.svelte and src/layout.css. Do not import anything. Do not use DryUI components, icons, SVGs, images, charts, tables, forms, buttons, inputs, or realistic widgets.

Extraction Order

When a design image is supplied, identify shell chrome before content:

  1. Top app bar/header.
  2. Left rail, sidebar, section nav, or bottom mobile nav.
  3. Right inspector/help/AI/account panel.
  4. Sticky footer/action bar.
  5. Main content/workspace.
  6. Secondary lists, KPI strips, activity, utilities.

If a desktop reference has a dark left navigation rail or sidebar, the desktop layout must include a left rail/side nav region. If mobile shows that navigation as top/bottom chrome, represent it as top/bottom chrome in the base layout and move it to the side only at desktop.

Shell Pattern

svelte
<main data-layout="<name>-shell">
	<div data-layout-area="page">
		<header data-layout-area="topbar">...</header>
		<nav data-layout-area="navigation">...</nav>
		<section data-layout-area="primary">...</section>
	</div>
</main>

Add only meaningful direct child regions. No generic wrapper areas.

CSS Pattern

In src/layout.css:

css
[data-layout='<name>-shell'] {
	container: <name> / inline-size;
}

[data-layout='<name>-shell'] [data-layout-area='page'] {
	display: grid;
	grid-template-areas:
		'topbar'
		'navigation'
		'primary';
}

@container <name> (min-width: 48rem) {
}
@container <name> (min-width: 72rem) {
}

The named container and @container name must match.

Responsive Rules

  • Mobile base: one column; nav is a top, tab, or bottom block.
  • Tablet: preserve shell chrome, then let primary and one support region share width if the reference does.
  • Desktop: place persistent rails first in the grid template. Common shapes:
    • navigation topbar topbar
    • navigation primary secondary
    • navigation footer footer
  • For desktop rails, use fixed-ish tracks such as 12rem to 16rem; use minmax(0, 1fr) for primary content.
  • Do not flatten a desktop app shell into a plain full-width form or list if the reference has a strong side rail.

Spacing Decision

Use gap: 0 for attached shell chrome and contiguous panes. Use tokenized gaps only where the reference has visible gutters. Do not show white/body background between attached panes.

Visual Styling

In the route <style>, use distinct colored blocks and readable labels. Make chrome blocks visually different from content blocks: rails/nav can be dark, primary content can be larger/lighter.

Failure Gates

  • Missing desktop rail when one appears in the reference.
  • Side rail appears on mobile before desktop.
  • Primary content loses dominance to chrome/support blocks.
  • src/layout.css lacks matched container: and @container names.
  • Any import, real component, icon, image, chart, table, form, button, or input.
  • Horizontal overflow or clipped labels at 390px, 820px, or 1440px.

Frequently asked questions

What does the Dryui Build AI skill do?

Experimental DryUI layout-only skill that prioritizes app shell chrome, rails, and persistent navigation before content blocks. Use when testing responsive page layout extraction from web app screenshots.

Why use Dryui Build on TypingMind?

Because you install it once and use it with any model. Dryui Build 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 Dryui Build in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rob-balfre/dryui/tree/main/reports/skill-experiments/2026-05-11/batch-6/v2-chrome-first. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dryui Build?

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 Dryui Build?

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

Is the Dryui Build AI skill free?

Yes. It is published on GitHub by rob-balfre under the MIT license. 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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