Mantine Form logo

Mantine Form

Organization
mantinedev
mantine-form

Build forms using @mantine/form in the mantine-9 repository. Use this skill when: (1) setting up a form with useForm, (2) adding validation rules or async validation, (3) working with nested object or array fields, (4) sharing form state across components with createFormContext, (5) using uncontrolled mode for performance, (6) using the standalone useField hook, or (7) any task involving useForm, getInputProps, onSubmit, insertListItem, or form validation.

Overview

Publishermantinedev
Repositoryskills
Skill namemantine-form
Stars
62
Forks
2
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by mantinedev on GitHub. Read the source before you install it.

Installation

Install the Mantine Form 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.
  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/mantinedev/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/mantine-form .claude/skills/mantine-form
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mantine Form 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 Mantine Form 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 Mantine Form 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.

Mantine Form Skill

Core Workflow

1. Set up the form

tsx
const form = useForm({
  mode: 'controlled',       // or 'uncontrolled' for large forms
  initialValues: {
    email: '',
    age: 0,
  },
  validate: {
    email: isEmail('Invalid email'),
    age: isInRange({ min: 18 }, 'Must be at least 18'),
  },
});

2. Wire inputs with getInputProps

tsx
<TextInput {...form.getInputProps('email')} label="Email" />
<NumberInput {...form.getInputProps('age')} label="Age" />

For checkboxes pass { type: 'checkbox' }:

tsx
<Checkbox {...form.getInputProps('agreed', { type: 'checkbox' })} label="I agree" />

3. Handle submission

tsx
<form onSubmit={form.onSubmit((values) => console.log(values))}>
  ...
  <Button type="submit">Submit</Button>
</form>

onSubmit only calls the handler when validation passes. To handle failures:

tsx
form.onSubmit(
  (values) => save(values),
  (errors) => console.log('Validation failed', errors)
)

Validation

Rules object (most common)

tsx
validate: {
  name: isNotEmpty('Required'),
  email: isEmail('Invalid email'),
  password: hasLength({ min: 8 }, 'Min 8 chars'),
  confirmPassword: matchesField('password', 'Passwords do not match'),
}

Function (for cross-field logic)

tsx
validate: (values) => ({
  endDate: values.endDate < values.startDate ? 'End must be after start' : null,
})

When to validate

tsx
validateInputOnChange: true,        // validate all fields on every change
validateInputOnChange: ['email'],    // validate specific fields only
validateInputOnBlur: true,          // validate on blur instead

Modes

ModeState storageRe-rendersInput props
'controlled' (default)React stateOn every changevalue + onChange
'uncontrolled'RefsNonedefaultValue + onChange

In uncontrolled mode, use form.key('fieldPath') as the React key prop when you need to force a re-render of an input.

References

  • references/api.md — Full API: useForm options, complete return value, useField, createFormContext, createFormActions, all built-in validators, key types
  • references/patterns.md — Code examples: nested objects, array fields, async validation, form context across components, transformValues, useField standalone

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 Mantine Form AI skill do?

Build forms using @mantine/form in the mantine-9 repository. Use this skill when: (1) setting up a form with useForm, (2) adding validation rules or async validation, (3) working with nested object or array fields, (4) sharing form state across components with createFormContext, (5) using uncontrolled mode for performance, (6) using the standalone useField hook, or (7) any task involving useForm, getInputProps, onSubmit, insertListItem, or form validation.

Why use Mantine Form on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mantinedev/skills/tree/master/skills/mantine-form. 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 Mantine Form?

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 Mantine Form?

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

Is the Mantine Form AI skill free?

Yes. It is published on GitHub by mantinedev 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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