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Forms Ux

Community
RealTask
forms-ux

Design accessible, resilient forms and multi-step input flows with sensible validation, clear errors, preserved data, and safe submission behavior.

Overview

PublisherRealTask
RepositoryMAX-DESIGN
Skill nameforms-ux
Stars
4
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 RealTask on GitHub. Read the source before you install it.

Installation

Install the Forms Ux 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/RealTask/MAX-DESIGN/tree/main/skills/forms-ux
  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/RealTask/MAX-DESIGN.git /tmp/MAX-DESIGN
mkdir -p .claude/skills
cp -r /tmp/MAX-DESIGN/skills/forms-ux .claude/skills/forms-ux
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Forms Ux 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 Forms Ux 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 Forms Ux 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.

Forms and input UX

When to use

Use for registration, settings, search forms, onboarding, checkout, profile editing, payments, surveys, filters, or any flow where people enter, change, or confirm data.

Workflow

1. Clarify the task and data

Identify the user goal, required fields, optional fields, data sensitivity, validation rules, consequences of submission, and whether the task can be saved or resumed. Ask only for information needed at this step. Explain why unusually sensitive or unexpected data is required.

2. Choose a safe structure

Group related fields by user mental model. Use a single page when the task is short and easy to review. Split longer tasks into meaningful steps only when this reduces cognitive load, and show progress and a way to review or return. Do not use a wizard merely to increase clicks.

3. Use appropriate controls

Prefer native labels, inputs, selects, checkboxes, radios, and buttons. Choose a control that matches the answer type and expected number of choices. Keep labels persistent; placeholders are examples or hints, not replacements for labels. Mark required and optional fields clearly and provide input examples in a format users can follow.

4. Validate with useful timing

Validate format and business rules at a time that helps recovery. Use client-side checks for quick feedback but repeat authoritative validation on the server. Avoid presenting errors before a user has had a reasonable chance to answer. Distinguish field errors from form-level or service errors.

5. Make errors recoverable

Associate each error with its field and provide a plain-language correction. On failed submission, preserve safe, already-entered values; move focus or provide an error summary when useful; and make errors available to assistive technology. Never imply data was saved when submission failed.

6. Handle submission states

Design idle, invalid, submitting, success, retry, offline, and server-error states. Prevent duplicate submissions when appropriate, but do not leave the button permanently disabled after a recoverable failure. Explain whether changes were saved, are pending, or were discarded. Add confirmation for destructive or high-consequence actions in proportion to risk.

7. Support autofill and varied devices

Use correct input types, autocomplete tokens, and input modes when relevant. Make focus order logical, target sizes comfortable, keyboard behavior native, and errors understandable at zoom. Test long text, pasted values, password managers, mobile keyboards, slow networks, and interrupted submissions.

8. Verify the whole flow

Test a valid path, every important validation failure, server rejection, repeated submission, and recovery. Review the form with keyboard navigation and automated accessibility checks where available. A passing linter does not prove a usable form.

Quality gates

  • Only necessary information is requested, with purpose explained when needed.
  • Labels, instructions, required/optional markers, and validation are programmatically associated.
  • Errors explain the correction and preserve safe user input.
  • Submission states accurately reflect real system status.
  • Keyboard, autofill, paste, zoom, and mobile input are considered.
  • Server-side validation remains authoritative.
  • Risky or irreversible actions receive proportionate safeguards.

Frequently asked questions

What does the Forms Ux AI skill do?

Design accessible, resilient forms and multi-step input flows with sensible validation, clear errors, preserved data, and safe submission behavior.

Why use Forms Ux on TypingMind?

Because you install it once and use it with any model. Forms Ux 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 Forms Ux in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RealTask/MAX-DESIGN/tree/main/skills/forms-ux. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Forms Ux?

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 Forms Ux?

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

Is the Forms Ux AI skill free?

Yes. It is published on GitHub by RealTask 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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