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Dryui Build

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rob-balfre
dryui-build

Experimental DryUI design-to-page skill that compares layout interpretations mentally, implements the best one, and performs screenshot-driven repair. Use when testing robust full-page generation from design references.

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-8/v11e-qa-tournament
  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-8/v11e-qa-tournament .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 Full Page: QA Tournament

Build a finished DryUI page from the supplied app mockup image. Use a short internal tournament before coding: consider three layouts, pick the strongest, then implement and repair.

Experiment Harness Rule

Run bun run build before finishing. Do not run bun run dev, bun run check, or a long-running screenshot/browser server during the agent step; the experiment harness performs browser capture and visual scoring after you finish.

Only edit src/routes/+page.svelte, src/layout.css, and src/app.css if necessary.

Internal Tournament

Consider three candidates:

  • Faithful: closest to the visual shell in the image.
  • Dense: best use of desktop and tablet space.
  • Mobile-first: best mobile order and reduction.

Pick the candidate that best satisfies:

  • primary task is obvious;
  • responsive behavior is clear;
  • desktop fills the canvas;
  • mobile is useful;
  • DryUI components can represent the details without brittle APIs.

Do not write the tournament into the UI.

Implementation Stages

Stage 1: layout map

  • classify page as dashboard, board, CRM, settings, or knowledge;
  • choose shell regions;
  • choose mobile order, tablet split, desktop grid;
  • decide guttered vs contiguous sections.

Stage 2: real DryUI page

  • import @dryui/ui;
  • use at least three of Button, Input, Badge, Table, Tabs, Separator;
  • use simple static blocks for charts, document surfaces, boards, and previews;
  • use concise invented content aligned to the app type;
  • avoid copying exact mockup numbers, dates, names, and paragraphs.

Stage 3: repair

  • run bun run build;
  • check 390px, 820px, and 1440px;
  • repair overflow, blank space, dark-on-dark surfaces, over-large side panels, and poor mobile order.

Required Shell Contract

svelte
<main data-layout="<type>-shell">
	<div data-layout-area="page">
		<header data-layout-area="topbar">...</header>
		<nav data-layout-area="navigation">...</nav>
		<section data-layout-area="primary">...</section>
		<aside data-layout-area="secondary">...</aside>
	</div>
</main>
  • page, primary, and one of topbar/navigation are required.
  • Optional shell areas: rail, summary, secondary, utility, actions.
  • Each shell area appears once.
  • data-layout-area is only for [data-layout-area='page'] and direct shell children.
  • Nested groups use data-layout, not data-layout-area.

CSS Contract

src/layout.css:

  • exact container: page / inline-size;
  • exact @container page (min-width: 48rem);
  • exact @container page (min-width: 72rem);
  • all display/grid/flex/container/layout breakpoint rules;
  • direct shell child selectors only;
  • grid-template-areas at each breakpoint that changes the shell;
  • minmax(0, 1fr) tracks;
  • DryUI spacing tokens or gap: 0 when panes touch.

Route <style>:

  • visual only;
  • no display, grid-*, flex-*, container, @container, @media;
  • no :global(), !important, inline styles, or style directives.

Visual Quality Bar

  • App-like density, not landing-page composition.
  • Shell content starts near the top; no dead first viewport.
  • Primary surface is largest on desktop.
  • Tablet is not just stretched mobile.
  • Mobile is not an exhaustive desktop dump.
  • Text fits and contrast is readable.
  • The page remains light-readable under default DryUI theme imports.

Frequently asked questions

What does the Dryui Build AI skill do?

Experimental DryUI design-to-page skill that compares layout interpretations mentally, implements the best one, and performs screenshot-driven repair. Use when testing robust full-page generation from design references.

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-8/v11e-qa-tournament. 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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