Ux Login Signup logo

Ux Login Signup

Organization
Uxcel-Lab
ux-login-signup

Design or critique a login / sign-up screen. Applies the always-true core (separate pages, minimal fields, inline validation, full password-reset flow) and gates context-dependent choices (social login, 2FA, "stay logged in", username vs. email) with trade-offs. Trigger when designing auth screens, sign-up forms, registration flows, or password recovery.

Overview

PublisherUxcel-Lab
Repositoryproduct-skills
Skill nameux-login-signup
Stars
35
Forks
8
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 Uxcel-Lab on GitHub. Read the source before you install it.

Installation

Install the Ux Login Signup 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/Uxcel-Lab/product-skills/tree/main/ux/screens/login-signup
  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/Uxcel-Lab/product-skills.git /tmp/product-skills
mkdir -p .claude/skills
cp -r /tmp/product-skills/ux/screens/login-signup .claude/skills/ux-login-signup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ux Login Signup 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 Ux Login Signup 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 Ux Login Signup 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.

Login & Sign-up Screen Skill

How this skill behaves (read first)

This is a generative skill, so it does not blindly apply every best practice — login/sign-up has a set of context-dependent levers (social login, "stay logged in", username vs. email, 2FA) where applying everything is wrong for some products and right for others. Auto-applying all of them produces a bloated, insecure, or privacy-hostile screen.

So the skill works in three moves:

  1. Establish context (one quick question if it's not already known).
  2. Apply the always-true core — the patterns that are correct for essentially every auth screen.
  3. Surface the context-dependent decisions with their trade-offs and a recommendation, and let the user choose — don't silently pick.

Then it hands the result to the audit skills for validation: call the heuristics audit (ux-heuristics-audit) and the accessibility audit (ux-accessibility-audit) on the generated screen. This skill deliberately does not re-derive contrast/keyboard/screen-reader rules — that's the accessibility skill's job.


Step 0 — Establish context before designing

Auth design changes sharply with these. If they aren't known, ask:

  • Platform — mobile (tight horizontal space → top-aligned/floating labels, contextual keypads, ≥38px touch targets) vs. desktop.
  • Security sensitivity — casual consumer app vs. banking/health/enterprise. This is the single biggest driver of the gated decisions below.
  • Audience — mainstream consumers (favor social login, low friction) vs. security-conscious or regulated users.

State the assumption if you proceed without an answer (e.g. "Assuming a standard consumer SaaS on web").


The always-apply core (correct for almost every auth screen)

Structure

  • Separate login and sign-up into distinct pages/views. Don't merge them — users try the wrong one and get frustrated.
  • Make switching obvious: a clear title states which page you're on, and a "Don't have an account? Sign up" (or vice-versa) link sits above the inputs where users look. Social buttons appear on both pages.
  • Keep sign-up to one short screen. Ask only the essentials (identifier + password). Collect everything else later, contextually, after the user has experienced value.

CTAs

  • Visually distinct labels. Avoid the "Sign in" / "Sign up" near-collision — prefer "Log in" vs. "Sign up" or "Register".
  • Button hierarchy: the primary action gets the brand/primary color and weight; the secondary action is muted or a text button. One dominant action per screen.
  • CTA visible without scrolling; on long mobile forms, fix it to the bottom.

Password field

  • Show/hide toggle (eye icon) that works both ways — typo prevention, especially on mobile. This also lets you drop the "confirm password" field.
  • Password requirements visible while typing (a live checklist), not revealed only on error.

Password recovery (the most-abandoned path — design the whole flow, not just a link)

  1. Reset link below the password field, where users expect it, clearly labeled (it's the "emergency exit" — Nielsen's user control & freedom).
  2. Ask for only 1–2 fields (email or phone) to verify identity.
  3. Confirmation page telling the user what happens next ("check your inbox").
  4. Clear next-step instructions in the email/SMS — a prominent link or code, minimal text.
  5. Reset page with the new-password input and requirements visible.
  6. Success acknowledgement, then redirect to login (or the intended destination).

Validation & submit states

  • Inline validation as the user leaves each field — never wait until Submit to reveal all errors. Show the result next to the field; green check for success, red for failure.
  • Submit shows a loading state, then a success message or a clear error.
  • Security caveat on errors: use a generic "Invalid username or password" rather than revealing which one was wrong.
  • Error copy is plain, polite, specific — what went wrong + how to fix it. No jargon, no ALL CAPS, no blame.

Form mechanics (mobile-sensitive)

  • Top-aligned or floating labels — never placeholder-only (placeholders vanish on focus and force recall).
  • Helper text below fields that need it (e.g. why a phone number is required).
  • Contextual keypads (numeric pad for phone/code) and input masks for formatted data.
  • Touch targets ≥ ~38px; inputs 32–40px tall; primary button width matched to inputs for balance.

The context-dependent decisions (surface, don't auto-apply)

For each, present the trade-off and a recommendation tied to the Step 0 context, then let the user decide. Applying all of these by default is a mistake.

DecisionApply whenAvoid / adapt whenDefault recommendation
Social login (Google/Apple/etc.)Mainstream consumer apps — ~80% of users prefer it; cuts friction, verifies email for youPrivacy-sensitive audiences, enterprise SSO contexts, or where you need data controlOffer it for consumer apps; pair with an email option. Ask before adding.
Identifier: email/phone vs. usernameUsername only if social identity/handles matter to the productUsername as a requirement — harder to recall, more failed loginsDefault to email or phone; offer username only as an option
"Keep me logged in" / "Remember me"Low-stakes apps where re-entry is annoyingBanking/health/enterprise — auto-logout after inactivity; remember the username only, not the sessionSensitivity-dependent — this is why Step 0 matters
2FA / biometricsHigh-stakes or regulated data; biometrics for quick secure mobile loginCasual low-risk apps where it adds needless frictionRecommend for sensitive data; optional elsewhere
Single screen vs. progressive profilingAlmost always start minimal—Minimal now, ask more contextually later

When the product is high-security (banking, health), the convenience levers (stay-logged-in, social) flip toward the secure choice and 2FA/biometrics become recommended rather than optional.


Validate the result (orchestration)

Hand-offs name each lens by its installable skill name. Invoke one only if that skill is installed; if it isn't, this skill's own core already carries these rules — proceed without it rather than blocking.

After generating or revising, hand the result to the audit lenses rather than declaring it done. These are candidate lenses — posture is set by docs/orchestration-policy.md, or route the whole thing through ux-design-review. Here, heuristics and dark-patterns are Tier A (auto-run); accessibility and aesthetics are Tier B (offered) — under an existing design system aesthetics is suppressed and accessibility narrows to usage. If the user invoked this skill for one specific thing, respect that scope.

  • ux-heuristics-audit (Tier A) — checks feedback/status on submit, error recovery, consistency, recognition (e.g. visible password requirements).
  • ux-accessibility-audit (Tier B — offer; narrow under a design system) — label/contrast/keyboard/focus specifics, which this skill intentionally defers.
  • ux-aesthetics-audit (Tier B — offer; suppress under a design system) — visual hierarchy and the overdesign check: did the gated levers (social buttons, 2FA, password rules) clutter the screen or bury the primary action?
  • ux-dark-patterns-audit (Tier A) — if sign-up adds marketing opt-ins, forced social connect, or over-broad permissions: checks for preselection, forced action, and confirmshaming.

If the audits surface a conflict (e.g. you added social login, a "remember me", 2FA prompt, and a long password policy, and minimalism now suffers), resolve back toward the primary task: getting the user in.


Common do/don't patterns

❌ Don't✅ Do
Merge login and sign-up into one ambiguous formSeparate pages with a clear title and an above-the-form switch link
"Sign in" next to "Sign up""Log in" vs. "Sign up" / "Register" — visually distinct
Ask for many fields at sign-upIdentifier + password only; collect the rest contextually later
Placeholder-only fieldsTop-aligned or floating labels that persist
Reveal all errors after SubmitInline validation as the user leaves each field
"Error: invalid input" / ALL CAPSPlain, polite, specific message next to the field
Reveal whether the username or password was wrongGeneric "Invalid username or password"
Hide the password with no reveal optionEye icon to show/hide; drop "confirm password"
Just a "Forgot password?" link with no flowDesign the full recovery flow through to success + redirect
Auto-apply social login + stay-logged-in everywhereSurface them as context-dependent choices with trade-offs
Keep users logged into a banking app indefinitelyAuto-logout on inactivity; remember username only
Ship without checkingHand off to the heuristics + accessibility audits

Source lessons (Uxcel)

Frequently asked questions

What does the Ux Login Signup AI skill do?

Design or critique a login / sign-up screen. Applies the always-true core (separate pages, minimal fields, inline validation, full password-reset flow) and gates context-dependent choices (social login, 2FA, "stay logged in", username vs. email) with trade-offs. Trigger when designing auth screens, sign-up forms, registration flows, or password recovery.

Why use Ux Login Signup on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Uxcel-Lab/product-skills/tree/main/ux/screens/login-signup. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ux Login Signup?

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 Ux Login Signup?

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

Is the Ux Login Signup AI skill free?

Yes. It is published on GitHub by Uxcel-Lab 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇