Form Input Design System
Generate accessible, token-ready form components with full validation and interactive states.
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Works with the AI tools you already use
See it in action
You say
Read ./tokens/tokens.css and generate a signup form with email, password with strength indicator, and a 'Terms' checkbox. Use a two-column layout.
Your agent does
I've generated 'signup-form.html' and accompanying CSS/JS.
- Email: includes RFC 5322 validation.
- Password: features a JS-powered strength bar and visibility toggle.
- Layout: 2-column grid utilizing your --color-primary and --space-md tokens.
- A11y: All fields linked via aria-describedby.
What you get
About this skill
The problem
Building accessible, validated forms is a repetitive chore that often results in inconsistent UI and poor UX. Developers frequently waste hours manual-coding focus states, error messages, and ARIA attributes for every new project.
What it does
- Generates 12+ production-ready component types including file uploads, phone inputs, and multi-column layouts.
- Provides 8 distinct interactive states per input, including loading, success, and error handling.
- Automatically integrates with your project's existing CSS custom properties for brand consistency.
- Includes vanilla JS logic for async form submission, password toggles, and drag-and-drop file zones.
- Implements comprehensive A11y features like aria-describedby, role="alert", and logical tab ordering.
Frameworks & tools
Framework-agnostic. Outputs BEM-standard HTML, CSS, and vanilla JS. Works with React, Vue, Svelte, Astro, or static HTML.
Why this beats prompting it yourself
General prompts often miss critical accessibility requirements or fail to map correctly to your design tokens. This skill enforces a strict state machine for every input, ensuring error states and dark mode logic are never forgotten or hallucinated.
Use cases
- Building a multi-step registration flow with complex password strength requirements.
- Creating a responsive contact form with file upload and country-specific phone inputs.
- Rapidly prototyping a themed settings dashboard using an existing design system.
Known limitations
Server-side validation logic is not included. Custom select menus and drag-and-drop zones require the generated vanilla JS files to function.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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219+ total installs · 30 skills on Agensi
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