Form Labelling logo

Form Labelling

Community
Owl-Listener
form-labelling

Design form labels, instructions, and grouping that work for screen readers and cognitive accessibility. Use when designing or reviewing forms, input fields, checkboxes, radio buttons, select menus, or any data entry interface. Triggers on: form label, label, input label, fieldset, legend, placeholder, form instructions, form group, radio group, checkbox group, required field, form accessibility.

Overview

PublisherOwl-Listener
Repositoryinclusive-design-skills
Skill nameform-labelling
Stars
108
Forks
28
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 Owl-Listener on GitHub. Read the source before you install it.

Installation

Install the Form Labelling 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/Owl-Listener/inclusive-design-skills/tree/main/accessible-content/skills/form-labelling
  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/Owl-Listener/inclusive-design-skills.git /tmp/inclusive-design-skills
mkdir -p .claude/skills
cp -r /tmp/inclusive-design-skills/accessible-content/skills/form-labelling .claude/skills/form-labelling
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Form Labelling 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 Form Labelling 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 Form Labelling 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.

Form Labelling

Every form field needs a visible, persistent label that is programmatically associated with the input. This is the single most common accessibility failure on the web — and the easiest to fix.

Core Rules

Every Input Has a Visible Label

  • Use element with for/id association
  • The label must be visible at all times — not just as placeholder text that disappears on focus
  • Labels go above the input (most accessible and most scannable)
  • Never use placeholder text as the only label — it disappears when the user starts typing

Labels Describe What to Enter

  • Good: "Email address"
  • Bad: "Enter your info here"
  • Good: "Date of birth (DD/MM/YYYY)"
  • Bad: "Date"
  • Include format hints in the label or help text, not just in placeholder

Required Fields Are Clear

  • Mark required fields with visible text: "required" or *
  • If using , explain it at the top of the form: " = required"
  • Use aria-required="true" for programmatic indication
  • Better: make most fields required by design and mark the optional ones instead — "Company name (optional)"

Grouping Patterns

Related Fields Need Fieldsets

  • Group related fields with and
  • Radio buttons: always group with fieldset
    • Legend: "Preferred contact method"
    • Options: Email, Phone, Text
  • Checkboxes: group when they share a question
    • Legend: "Which topics interest you?"
    • Options: Design, Engineering, Product
  • Address fields: group under "Delivery address" or "Billing address"

When You Have Multiple Forms

  • Each form section should have a heading or legend
  • Sections should be visually and structurally separated
  • Progress indicators help users understand where they are

Instruction Patterns

Help Text

  • Place help text between the label and the input
  • Associate with aria-describedby so screen readers announce it
  • Good: "Must be at least 8 characters with one number"
  • Keep instructions concise — one sentence

Error Association

  • Error messages must be programmatically linked to the field (aria-describedby or aria-errormessage)
  • Place error text directly below the field, not in a remote banner
  • Include the field label in the error: "Email address: please enter a valid email"

Common Mistakes

  • Placeholder as label — disappears on input, invisible to many screen readers
  • Icon-only labels — a magnifying glass without text "Search" label
  • Labels far from inputs — spatial separation breaks the visual association
  • Labels that change — don't change label text based on input state
  • Unlabelled buttons — every button needs visible text or aria-label

Assessment Checklist

  • Every input has a visible associated with for/id
  • No placeholder-only labels
  • Required fields are indicated visually and programmatically
  • Related fields are grouped with fieldset/legend
  • Help text is associated with aria-describedby
  • Error messages are linked to their field
  • All buttons have visible text labels

Frequently asked questions

What does the Form Labelling AI skill do?

Design form labels, instructions, and grouping that work for screen readers and cognitive accessibility. Use when designing or reviewing forms, input fields, checkboxes, radio buttons, select menus, or any data entry interface. Triggers on: form label, label, input label, fieldset, legend, placeholder, form instructions, form group, radio group, checkbox group, required field, form accessibility.

Why use Form Labelling on TypingMind?

Because you install it once and use it with any model. Form Labelling 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 Form Labelling in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Owl-Listener/inclusive-design-skills/tree/main/accessible-content/skills/form-labelling. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Form Labelling?

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 Form Labelling?

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

Is the Form Labelling AI skill free?

Yes. It is published on GitHub by Owl-Listener 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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