Ux Onboarding logo

Ux Onboarding

Organization
Uxcel-Lab
ux-onboarding

Design or critique a user-onboarding flow — the first-run experience that gets users to value fast. Gates context-dependent choices (onboarding method, progressive profiling, product tours) and applies the always-true core. Trigger when designing welcome screens, first-run experiences, product tours, activation flows, or when onboarding drop-off needs improving.

Overview

PublisherUxcel-Lab
Repositoryproduct-skills
Skill nameux-onboarding
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 Onboarding 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/flows/onboarding
  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/flows/onboarding .claude/skills/ux-onboarding
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ux Onboarding 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 Onboarding 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 Onboarding 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.

Onboarding Flow Skill

How this skill behaves (read first)

This is a generative skill, and onboarding is a prime over-design trap: the default instinct is a multi-screen tour nobody reads plus a wall of upfront questions and "enable all permissions" prompts — which actively blocks the product and drives drop-off. The lessons are blunt: most apps don't need a tutorial; users learn by using. So this skill gates hard:

  1. First gate: does this even need onboarding? Often the answer is "barely" — and the best onboarding is the lightest one that gets users to value.
  2. Apply the always-true core — the principles that hold for any first-run experience.
  3. Choose the method and asks deliberately — surface the context-dependent decisions with trade-offs; don't default to a 6-screen carousel.

Then hand off to the audits — especially dark-patterns (onboarding is where forced permissions/notifications and friend-spam concentrate).


Step 0 — Establish context, starting with the gate

Gate — does it need onboarding? Per the lessons, onboarding is warranted mainly when:

  • the app is complex (explain features as users reach them, not upfront), or
  • you genuinely need data to function (e.g. a banking app), or
  • workflows are unique/unfamiliar, or
  • a tutorial is expected (e.g. mobile gaming).

If none hold, recommend the lightest touch — empty-state nudges and contextual tips — over a tour. Then capture:

  • Product complexity — learn-by-doing vs. genuinely needs explanation.
  • What's truly required to start — the minimum data/permissions, if any.
  • Audience — novice vs. expert; one persona or several (drives persona-based branching).
  • Platform — mobile (system permission prompts, tight space) vs. web.

State assumptions if proceeding without answers.


The always-apply core (true for any onboarding)

  • Front-load value; deliver an early win. Show the benefit before asking for anything. Duolingo ends onboarding with two real sentences. Early success drives retention.
  • Keep it short. ~4–5 screens max; most users expect onboarding to take ≤60 seconds. If it feels like a lecture, users skip it.
  • Ask for the minimum, and say why. Don't bombard with questions before trust is built. Every field/permission needs a clear "why now"; if you can't justify it at launch, collect it later, contextually.
  • One thing at a time. One contextual tip at a time; introduce features at the pace users meet them. Less is more.
  • Apply progressive disclosure. Primary/most-common features first; reveal advanced options on request. Keep to ≤2 levels of depth.
  • Always skippable, with visible progress. Tell users how many steps and where they are; let them exit. Never trap them in the tour.
  • Use empty states and success states. A blank screen is an onboarding opportunity (educational content + a clear CTA); a success state early creates a positive first connection.
  • End with a clear, relevant CTA — the next logical action ("Start shopping", "Create your first project").
  • Don't re-show completed onboarding. Track state; repeating tips after completion is friction.

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

Present each with its trade-off and a recommendation tied to Step 0. Defaulting to "full walkthrough + ask everything" is the failure mode.

DecisionApply whenAvoid / adapt whenDefault recommendation
Onboard at all (and how heavy)App is complex, data-required, unfamiliar, or tutorial-expectedSimple learn-by-doing appsLightest touch that reaches value; prefer empty-state + contextual tips over a tour
Method (walkthrough / interactive tour / contextual tips / checklist / empty-state-led / permission priming)Match to need: interactive tour for hands-on learning, checklist for multi-step setup, contextual tips for discoverable featuresA static swipe-through carousel at first launch (usually skipped)Interactive/contextual over static; see method notes below
Customization / persona questionsAnswers genuinely change the experience (e.g. proficiency level, freelancer vs. enterprise)Asking for data you won't use, or visual customization at first launchAsk only if it reshapes onboarding; explain why; else defer
Permission / notification timingContextually, at the moment of value, with permission priming (explain benefit before the system prompt)Requesting all permissions / "enable all notifications" upfrontContextual + primed — never force-all (→ dark-patterns)
Registration timingAccount genuinely needed before valueForcing signup before users see anythingGradual engagement — let users preview/try first (delaying registration can lift signups ~29%)
Feature / instructional onboardingUnique or newly-released features; genuinely unfamiliar workflowsAt first launch for a self-evident appPromote new features contextually, not in a launch tutorial

Method notes (the picker's menu)

  • Interactive tour — hands-on, triggered in context (learn by doing).
  • Contextual tips — minimal cues, one at a time, at point of need.
  • Checklist — guided setup with progress; good sense of accomplishment for multi-step products.
  • Empty-state-led — the screen itself teaches the first action; lightest touch.
  • Permission priming — a value-explaining screen before the system permission dialog.
  • Walkthrough (static screens) — only if necessary; ≤4–5 screens, focus on the few most exciting/essential things.

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, dark-patterns, heuristics, and microcopy 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-dark-patterns-audit (Tier A) — the onboarding-specific traps: forced/upfront permissions, "enable all notifications", friend-spam contact access, confirmshaming a skip option. Onboarding should respect autonomy (mindful onboarding).
  • ux-aesthetics-audit (Tier B — offer; suppress under a design system) — do the tips/overlays/tour screens create clutter or bury the primary action?
  • ux-heuristics-audit (Tier A) — user control (skippable), visibility (progress, success states), recognition, help & documentation.
  • ux-accessibility-audit (Tier B — offer; narrow under a design system) — tooltips/overlays reachable by keyboard and screen readers; the flow is skippable without a mouse.
  • ux-microcopy-audit (Tier A) — onboarding copy (tips, CTAs, empty/success states) is clear, action-based, and on-voice.

If an audit flags overload or a forced action, resolve toward the gate: the lightest flow that still reaches value.


Common do/don't patterns

❌ Don't✅ Do
Add a tutorial because every app has oneGate first — many apps just need empty-state + contextual tips
6+ static walkthrough screens at first launch≤4–5 screens, or skip the carousel for in-context guidance
Ask every question / request all permissions upfrontMinimum asks; permission priming at the moment of value
Force signup before showing anythingGradual engagement — preview/try first
Explain features before delivering valueFront-load an early win
Block users in the tourAlways skippable, with visible progress
Leave empty/success states blankUse them to teach the first action and reward early success
Keep showing tips after completionTrack state; don't repeat
"Enable all notifications" to maximize re-engagementContextual, justified opt-ins (→ dark-patterns audit)
Ship without checkingHand off to dark-patterns + aesthetics + heuristics + accessibility

Source lessons (Uxcel)

Frequently asked questions

What does the Ux Onboarding AI skill do?

Design or critique a user-onboarding flow — the first-run experience that gets users to value fast. Gates context-dependent choices (onboarding method, progressive profiling, product tours) and applies the always-true core. Trigger when designing welcome screens, first-run experiences, product tours, activation flows, or when onboarding drop-off needs improving.

Why use Ux Onboarding on TypingMind?

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

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

Which AI models can use Ux Onboarding?

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 Onboarding?

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

Is the Ux Onboarding 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.

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