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Dryui Build Experiment A

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rob-balfre
dryui-build-experiment-a

Experimental DryUI UI build workflow using branch-first task lists by target type. Use when testing whether explicit page/section/component branches improve layout correctness.

Overview

Publisherrob-balfre
Repositorydryui
Skill namedryui-build-experiment-a
Stars
9
Forks
0
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by rob-balfre on GitHub. Read the source before you install it.

Installation

Install the Dryui Build Experiment A 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/variant-a-branching-task-list
  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/variant-a-branching-task-list .claude/skills/dryui-build-experiment-a
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dryui Build Experiment A 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 Experiment A 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 Experiment A 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 Build Experiment A: Branching Task List

Start Here

Before writing code, identify the target:

  • Full page
  • Section of a page
  • Repeated component or list item
  • Form or workflow
  • Dashboard or data surface
  • Polish pass

If more than one applies, follow the most specific branch first. For a dashboard page, follow Dashboard or data surface, then Full page.

Full Page

  1. Create one root wrapper with a specific data-layout="<page-name>".
  2. In src/layout.css, create the matching selector.
  3. Add container: <page-name> / inline-size to the page wrapper.
  4. Put all page-level display: grid and display: flex in src/layout.css.
  5. Use mobile-first base layout.
  6. Use @container <page-name> (...) for responsive shifts.
  7. Do not use @media for layout breakpoints.
  8. Do not put color, background, border, shadow, text, position, z-index, width, height, or inline-size in src/layout.css.
  9. Use data-layout-area for children that participate in named grid areas.
  10. Verify mobile and desktop screenshots.

Dashboard Or Data Surface

  1. Name the primary user task: monitor, compare, triage, configure, report, or act.
  2. Choose density: compact, standard, or spacious.
  3. Define regions before markup:
    • header
    • filters/actions
    • summary metrics
    • primary visualization
    • data table or detail list
    • secondary detail/action area if needed
  4. Use named grid areas when regions need stable placement.
  5. Prefer data hierarchy over decorative cards.
  6. Use cards only for distinct interactive or comparable units.
  7. Use Table or DataGrid for tabular data.
  8. Use Chart or Sparkline for chart content.
  9. Include loading, empty, error, disabled, and dense-data states.
  10. Test long labels, many rows, narrow containers, and primary action visibility after collapse.

Section Of A Page

  1. Add a specific data-layout="<section-name>".
  2. Scope section layout in src/layout.css.
  3. Use the parent page container unless the section needs independent responsive behavior.
  4. Do not create a second container query by default.
  5. Ensure the section works when surrounding content changes.

Repeated Component Or List Item

  1. Prefer component CSS for visual styling.
  2. Use data-layout only for structural raw elements.
  3. Add a component-level container only if it must adapt to allocated space.
  4. Avoid page assumptions inside reusable components.

Form Or Workflow

  1. Use DryUI form primitives.
  2. Wrap controls in field/label structure.
  3. Group fields by task.
  4. Include validation, disabled, loading, success, and error states.
  5. Keep the primary submit action obvious and keyboard accessible.

Polish Pass

  1. Check hierarchy.
  2. Check spacing rhythm.
  3. Check states.
  4. Check responsive collapse.
  5. Only then adjust visual styling.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Dryui Build Experiment A AI skill do?

Experimental DryUI UI build workflow using branch-first task lists by target type. Use when testing whether explicit page/section/component branches improve layout correctness.

Why use Dryui Build Experiment A on TypingMind?

Because you install it once and use it with any model. Dryui Build Experiment A 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 Experiment A 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/variant-a-branching-task-list. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Dryui Build Experiment A?

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 Experiment A?

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

Is the Dryui Build Experiment A 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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