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Building Forms

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ancoleman
building-forms

Builds form components and data collection interfaces including contact forms, registration flows, checkout processes, surveys, and settings pages. Includes 50+ input types, validation strategies, accessibility patterns (WCAG 2.1), multi-step wizards, and UX best practices. Provides decision trees from data type to component selection, validation timing guidance, and error handling patterns. Use when creating forms, collecting user input, building surveys, implementing validation, designing multi-step workflows, or ensuring form accessibility.

Overview

Publisherancoleman
Repositoryai-design-components
Skill namebuilding-forms
Stars
523
Forks
73
Bundled files
42
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.

  • 42 bundled files

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

  • Open source

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

Installation

Install the Building Forms 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/ancoleman/ai-design-components.git /tmp/ai-design-components
mkdir -p .claude/skills
cp -r /tmp/ai-design-components/skills/building-forms .claude/skills/building-forms
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Building Forms 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 Building Forms 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 Building Forms 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 Systems & Input Patterns

Build accessible, user-friendly forms with systematic component selection, validation strategies, and UX best practices.

Purpose

Forms are the primary mechanism for user data input in web applications. This skill provides systematic guidance for:

  • Selecting appropriate input types based on data requirements
  • Implementing validation strategies that enhance user experience
  • Ensuring WCAG 2.1 AA accessibility compliance
  • Creating complex patterns (multi-step wizards, conditional fields, dynamic forms)

When to Use This Skill

Triggers:

  • Building contact forms, login/registration flows, checkout processes
  • Implementing surveys, questionnaires, or settings pages
  • Adding validation to user inputs
  • Creating multi-step workflows or wizards
  • Ensuring form accessibility
  • Collecting structured data (addresses, credit cards, dates)

Common Requests:

  • "Create a registration form with validation"
  • "Build a multi-step checkout flow"
  • "Add inline validation to email input"
  • "Make this form accessible for screen readers"
  • "Implement a survey with conditional questions"

Universal Form Concepts

Component Selection Framework

The Golden Rule: Data Type → Input Component → Validation Pattern

Start by identifying the data type to collect, then select the appropriate component:

Quick Reference:

  • Short text (<100 chars) → Text input, Email input, Password input
  • Long text (>100 chars) → Textarea, Rich text editor, Code editor
  • Numeric → Number input, Currency input, Slider
  • Date/Time → Date picker, Time picker, Date range picker
  • Boolean → Checkbox, Toggle switch
  • Single choice → Radio group (2-7 options), Select dropdown (>7 options), Autocomplete (>15 options)
  • Multiple choice → Checkbox group, Multi-select, Tag input
  • File/Media → File upload, Image upload
  • Structured → Address input, Credit card input, Phone number input

For detailed decision tree: See references/decision-tree.md

Validation Timing Strategies

Recommended Default: On Blur with Progressive Enhancement

Field pristine (never touched): No validation
User typing: No errors shown
On blur (field loses focus): Validate and show errors
After first error: Switch to onChange for that field
On fix: Show success immediately

Validation Modes:

  1. On Submit - Validate when form submitted (simple forms)
  2. On Blur - Validate when field loses focus (RECOMMENDED for most forms)
  3. On Change - Validate as user types (password strength, availability checks)
  4. Debounced - Validate after user stops typing (API-based validation)
  5. Progressive - Start with on-blur, switch to on-change after first error

For complete validation guide: See references/validation-concepts.md

Accessibility Requirements (WCAG 2.1 AA)

Critical Accessibility Patterns:

Labels and Instructions:

  • Every input must have an associated <label> or aria-label
  • Labels must be visible and descriptive
  • Required fields clearly indicated (not by color alone)
  • Never use placeholder text as label replacement
  • Provide help text for complex inputs

Keyboard Navigation:

  • Logical, sequential tab order
  • All inputs keyboard accessible
  • Custom components support arrow keys
  • Escape key dismisses modals/popovers
  • Focus visible (outline or custom indicator)

Error Handling:

  • Errors programmatically associated with inputs (aria-describedby)
  • Error messages clear and actionable
  • Errors announced by screen readers (aria-live)
  • Focus moves to first error on submit
  • Errors not conveyed by color alone

ARIA Attributes:

  • aria-required="true" for required fields
  • aria-invalid="true" when validation fails
  • aria-describedby linking to help/error text
  • role="group" for related inputs
  • aria-live="polite" for validation messages

For complete accessibility checklist: See references/accessibility-forms.md

UX Best Practices

Modern Form UX Principles (2024-2025):

  1. Progressive Disclosure - Show only essential fields initially, reveal advanced options on demand
  2. Smart Defaults - Pre-fill known information, suggest values based on context
  3. Inline Validation with Positive Feedback - Show green checkmark on valid input, provide helpful error messages
  4. Mobile-First - Large touch targets (44px minimum), appropriate keyboard types
  5. Reduce Cognitive Load - Group related fields, use clear labels, provide examples
  6. Error Prevention - Constraints prevent invalid input, autocomplete reduces typos
  7. Autosave and Recovery - Save draft state automatically, warn before losing data

For detailed UX patterns: See references/ux-patterns.md

Error Message Best Practices

Good Error Message Formula:

  1. What's wrong - "Email address is not valid"
  2. Why it matters - "We need this to send your receipt"
  3. How to fix - "Format: name@example.com"

Examples:

Bad: "Invalid input" ✅ Good: "Email address must include @ symbol (e.g., name@example.com)"

Bad: "Error" ✅ Good: "Password must be at least 8 characters long"

Bad: "Field required" ✅ Good: "Please enter your email address so we can send order confirmation"

Tone Guidelines:

  • Conversational, not robotic
  • Helpful, not blaming
  • Specific, not generic
  • Actionable, not just descriptive

Language-Specific Implementations

This skill provides universal form concepts above, with language-specific implementations below.

JavaScript/React (PRIMARY)

Recommended Stack:

  • React Hook Form - Form state management (best performance, 8KB bundle)
  • Zod - TypeScript-first schema validation
  • Radix UI or React Aria - Accessible component primitives

Quick Start:

tsx
import { useForm } from 'react-hook-form';
import { zodResolver } from '@hookform/resolvers/zod';
import * as z from 'zod';

// Define validation schema
const schema = z.object({
  email: z.string().email('Invalid email address'),
  password: z.string().min(8, 'Password must be at least 8 characters'),
});

type FormData = z.infer<typeof schema>;

function LoginForm() {
  const { register, handleSubmit, formState: { errors } } = useForm<FormData>({
    resolver: zodResolver(schema),
    mode: 'onBlur', // Validate on blur (recommended)
  });

  const onSubmit = (data: FormData) => {
    console.log(data);
  };

  return (
    <form onSubmit={handleSubmit(onSubmit)}>
      <label htmlFor="email">Email</label>
      <input id="email" {...register('email')} type="email" />
      {errors.email && <span role="alert">{errors.email.message}</span>}

      <label htmlFor="password">Password</label>
      <input id="password" {...register('password')} type="password" />
      {errors.password && <span role="alert">{errors.password.message}</span>}

      <button type="submit">Login</button>
    </form>
  );
}

Detailed JavaScript/React Documentation:

  • references/javascript/react-hook-form.md - Complete React Hook Form guide
  • references/javascript/zod-validation.md - Zod schema validation patterns
  • references/javascript/examples/ - Working code examples

Python (PRIMARY)

Recommended Stack:

  • Pydantic - Data validation and settings management (runtime validation, type-safe)
  • FastAPI - Modern async web framework with automatic validation
  • WTForms - Flask/Django form handling (when using traditional frameworks)

Quick Start (FastAPI + Pydantic):

python
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel, EmailStr, Field, validator

app = FastAPI()

# Define validation schema
class LoginForm(BaseModel):
    email: EmailStr  # Validates email format
    password: str = Field(..., min_length=8, description="Password must be at least 8 characters")

    @validator('password')
    def validate_password_strength(cls, v):
        if not any(char.isdigit() for char in v):
            raise ValueError('Password must contain at least one number')
        if not any(char.isupper() for char in v):
            raise ValueError('Password must contain at least one uppercase letter')
        return v

@app.post("/api/login")
async def login(form_data: LoginForm):
    # Pydantic automatically validates incoming data
    # If validation fails, returns 422 with error details
    return {"message": "Login successful", "email": form_data.email}

# Example error response (automatic):
# {
#   "detail": [
#     {
#       "loc": ["body", "email"],
#       "msg": "value is not a valid email address",
#       "type": "value_error.email"
#     }
#   ]
# }

Detailed Python Documentation:

  • references/python/pydantic-forms.md - Pydantic validation patterns
  • references/python/wtforms.md - WTForms for Flask/Django
  • references/python/examples/ - Working code examples

Rust (FUTURE)

Planned Libraries:

  • validator - Struct field validation
  • Leptos / Yew - Reactive web frameworks

Rust implementation will be added when needed.

Go (FUTURE)

Planned Libraries:

  • Templ - Type-safe HTML templating
  • html/template - Standard library templating

Go implementation will be added when needed.

Component Tiers

Tier 1: Basic Input Components

Text-Based:

  • Text field (single-line)
  • Textarea (multi-line)
  • Email input (with validation)
  • Password input (with visibility toggle)
  • Number input (with step controls)
  • Tel input (with formatting)
  • URL input (with protocol validation)
  • Search input (with clear button)

Selection:

  • Radio group (2-7 options)
  • Checkbox (boolean or multiple)
  • Toggle switch (clear on/off states)
  • Select dropdown (many options)
  • Multi-select (multiple selections)

Date & Time:

  • Date picker (calendar interface)
  • Time picker (hour/minute)
  • Date range picker (start and end)
  • DateTime picker (combined)

Tier 2: Rich Input Components

Advanced Selection:

  • Autocomplete/Combobox (type to filter)
  • Tag input (multiple tags)
  • Transfer list (move items between lists)
  • Listbox (keyboard-navigable)

Specialized:

  • Color picker (hex, RGB, HSL)
  • File uploader (single, multiple, drag-drop)
  • Image uploader (crop, resize, preview)
  • Slider/Range (single or range)
  • Rating input (stars, numeric, emoji)
  • Rich text editor (formatting, media)
  • Code editor (syntax highlighting)
  • Markdown editor (preview, toolbar)

Structured Data:

  • Address input (multi-field)
  • Credit card input (formatted)
  • Phone number (international)
  • Currency input (symbol, decimal)

Tier 3: Complex Form Patterns

Multi-Step Forms:

  • Linear wizard (step 1 → 2 → 3)
  • Branching wizard (conditional steps)
  • Progress indicators
  • Save and resume (draft state)
  • Review and submit page

Dynamic Forms:

  • Conditional fields (show/hide)
  • Repeating sections (add/remove)
  • Field arrays (dynamic list)
  • Nested forms (complex objects)

Advanced Patterns:

  • Inline editing (click to edit)
  • Bulk editing (multiple records)
  • Autosave (periodic or on change)
  • Optimistic updates
  • Undo/redo functionality

Integration with Design Tokens

All form components use the design-tokens skill for visual styling, enabling theme switching (light/dark/high-contrast/custom brands).

Key Token Categories:

  • Color - Input backgrounds, borders, text, error/success states
  • Spacing - Padding, gaps between fields, label margins
  • Typography - Font sizes, weights for inputs, labels, errors
  • Borders - Border width, radius, focus ring
  • Shadows - Focus indicators, elevation

See: skills/design-tokens/ for complete theming documentation.

Common Use Cases

Contact Form

tsx
// Basic contact form with validation
// See: references/javascript/examples/basic-form.tsx

Registration Flow

tsx
// Multi-step registration with password strength
// See: references/javascript/examples/multi-step-wizard.tsx

Inline Validation

tsx
// Real-time validation with debouncing
// See: references/javascript/examples/inline-validation.tsx

Survey with Conditional Logic

tsx
// Dynamic form with conditional fields
// See: references/javascript/examples/conditional-form.tsx

Settings Page

tsx
// Mixed input types with autosave
// See: references/javascript/examples/settings-form.tsx

Quick Decision Guide

Question: What input should I use? → See references/decision-tree.md for complete decision tree

Question: When should I validate? → Use on-blur with progressive enhancement (on-change after first error) → See references/validation-concepts.md for all strategies

Question: How do I make my form accessible? → Use semantic HTML, label all inputs, support keyboard navigation → See references/accessibility-forms.md for WCAG 2.1 checklist

Question: How do I handle complex validation? → Use schema validation (Zod for TypeScript, Yup for JavaScript) → See references/javascript/zod-validation.md for patterns

Question: How do I build a multi-step form? → Use state management with progress tracking → See references/javascript/examples/multi-step-wizard.tsx

Best Practices Summary

  1. Start with semantic HTML - Use native <input>, <select>, <textarea> when possible
  2. Label everything - Every input needs a visible, descriptive label
  3. Validate on blur - Best UX balance for most forms
  4. Provide helpful errors - Explain what's wrong and how to fix it
  5. Support keyboard navigation - Tab order, arrow keys, escape to dismiss
  6. Mobile-first - Large touch targets, appropriate keyboards
  7. Progressive disclosure - Don't overwhelm with all fields at once
  8. Autosave when possible - Prevent data loss
  9. Test with screen readers - Ensure ARIA attributes work correctly
  10. Use design tokens - Consistent styling, theme support

Additional Resources

  • references/decision-tree.md - Complete component selection framework
  • references/validation-concepts.md - All validation strategies and patterns
  • references/accessibility-forms.md - WCAG 2.1 AA compliance checklist
  • references/ux-patterns.md - Modern form UX best practices
  • references/javascript/ - JavaScript/React implementation guides

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 Building Forms AI skill do?

Builds form components and data collection interfaces including contact forms, registration flows, checkout processes, surveys, and settings pages. Includes 50+ input types, validation strategies, accessibility patterns (WCAG 2.1), multi-step wizards, and UX best practices. Provides decision trees from data type to component selection, validation timing guidance, and error handling patterns. Use when creating forms, collecting user input, building surveys, implementing validation, designing multi-step workflows, or ensuring form accessibility.

Why use Building Forms on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ancoleman/ai-design-components/tree/main/skills/building-forms. 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 Building Forms?

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 Building Forms?

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

Is the Building Forms AI skill free?

Yes. It is published on GitHub by ancoleman 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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