
claude-skill-app-onboarding-questionnaire
Claude Code skill that designs and builds high-converting questionnaire-style app onboarding flows modelled on proven conversion patterns from top subscription apps like Noom, Headspace, and Duolingo.
- Installs
- 583
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/reason-machines/trending-skills --skill claude-skill-app-onboarding-questionnaire- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads claude-skill-app-onboarding-questionnaire automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
App Onboarding Questionnaire
Skill by ara.so — Daily 2026 Skills collection.
A Claude Code skill that analyses your existing app codebase and generates a complete, high-converting questionnaire-style onboarding flow — including all copy, screen designs, and production-ready code — modelled on proven patterns from top subscription apps.
What It Does
When you run /app-onboarding-questionnaire in your project, the skill:
- Analyses your codebase — reads your app's source, manifest/plist files, and existing screens to understand your app's purpose, target users, and required permissions
- Defines the user transformation — constructs a before/after narrative that drives the onboarding story
- Designs a screen-by-screen blueprint — using a 14-screen psychological conversion framework
- Drafts all copy — headlines, questions, answer options, CTAs, testimonials, social proof
- Builds the screens — in your app's native framework (SwiftUI, React Native, Flutter, Jetpack Compose, etc.)
Installation
Option 1: Global skills directory
cd ~/.claude/skills
git clone https://github.com/adamlyttleapps/claude-skill-app-onboarding-questionnaire.git app-onboarding-questionnaire
Option 2: Project-level dependency
Add to your project's .claude/settings.json:
{
"skills": [
"github:adamlyttleapps/claude-skill-app-onboarding-questionnaire"
]
}
Usage
Navigate to your app project directory and run:
/app-onboarding-questionnaire
The skill is interactive — it asks clarifying questions and builds incrementally. Progress is saved to Claude Code's memory system so you can resume across sessions.
The 14-Screen Framework
| # | Screen | Conversion Purpose |
|---|---|---|
| 1 | Welcome | Hook — show the end state, create desire |
| 2 | Goal Question | "What are you trying to achieve?" — psychological investment |
| 3 | Pain Points | "What prevents you?" — builds empathy |
| 4 | Social Proof | Persona-matched testimonials |
| 5 | Tinder Cards | Swipe agree/disagree on pain statements |
| 6 | Personalised Solution | Mirror pains back with app solution stats |
| 7 | Comparison Table | Life with vs without the app (optional) |
| 8 | Preferences | Functional personalisation for the demo |
| 9 | Permission Priming | Benefit-framed pre-sell before system dialogs |
| 10 | Processing Moment | "Building X just for you..." anticipation builder |
| 11 | App Demo | User actually uses the core app mechanic |
| 12 | Value Delivery | Tangible output + share/viral moment |
| 13 | Account Gate | Optional sign-in to save what they created |
| 14 | Paywall | Hard paywall with trial, social proof, pricing |
Not every app needs every screen — the skill adapts based on your app's complexity and type.
Key Differentiators
App Demo Screen
Instead of a tour, users do something — pick recipes, complete an exercise, categorise a transaction — and receive a tangible result. This is Screen 11 and is the highest-impact screen for conversion.
Permission Priming (Screen 9)
The skill auto-detects required permissions from your codebase:
- iOS: reads
Info.plistforNSCameraUsageDescription,NSLocationWhenInUseUsageDescription, etc. - Android: reads
AndroidManifest.xmlforuses-permissionentries - React Native / Flutter: checks both
For each permission found, it generates a benefit-framed priming screen shown before the system dialog. This converts at 70–80%+ vs ~40% for cold prompts.
Viral / Share Moment (Screen 12)
The demo output is designed to be shareable — a meal plan, a workout, a savings projection. This is where organic growth originates.
Code Examples
SwiftUI — Goal Question Screen
// Generated by /app-onboarding-questionnaire
import SwiftUI
struct GoalQuestionView: View {
@EnvironmentObject var onboardingState: OnboardingState
let goals = [
OnboardingOption(id: "lose_weight", emoji: "⚖️", title: "Lose weight", subtitle: "Reach a healthier body"),
OnboardingOption(id: "build_muscle", emoji: "💪", title: "Build muscle", subtitle: "Get stronger and leaner"),
OnboardingOption(id: "eat_healthier", emoji: "🥗", title: "Eat healthier", subtitle: "Improve my nutrition"),
OnboardingOption(id: "save_time", emoji: "⏱️", title: "Save time cooking", subtitle: "Quick, easy meals")
]
var body: some View {
VStack(spacing: 24) {
OnboardingHeader(
title: "What's your main goal?",
subtitle: "We'll personalise everything around this"
)
VStack(spacing: 12) {
ForEach(goals) { goal in
OnboardingOptionRow(
option: goal,
isSelected: onboardingState.selectedGoal == goal.id
) {
onboardingState.selectedGoal = goal.id
}
}
}
Spacer()
PrimaryButton(title: "Continue", isEnabled: onboardingState.selectedGoal != nil) {
onboardingState.advance()
}
}
.padding()
}
}
React Native — Tinder Swipe Cards Screen
// Generated by /app-onboarding-questionnaire
import React, { useState } from 'react';
import { View, Text, StyleSheet, Animated, PanResponder } from 'react-native';
import { useOnboarding } from '../context/OnboardingContext';
const PAIN_STATEMENTS = [
"I don't know what to cook each week",
"I end up wasting food I've bought",
"Healthy eating feels too complicated",
"I spend too long deciding what to make",
];
export function TinderCardsScreen() {
const { addAgreedPain, advance } = useOnboarding();
const [currentIndex, setCurrentIndex] = useState(0);
const position = new Animated.ValueXY();
const panResponder = PanResponder.create({
onStartShouldSetPanResponder: () => true,
onPanResponderMove: (_, gesture) => {
position.setValue({ x: gesture.dx, y: gesture.dy });
},
onPanResponderRelease: (_, gesture) => {
if (gesture.dx > 120) {
swipe('agree');
} else if (gesture.dx < -120) {
swipe('disagree');
} else {
Animated.spring(position, { toValue: { x: 0, y: 0 }, useNativeDriver: true }).start();
}
},
});
const swipe = (direction: 'agree' | 'disagree') => {
if (direction === 'agree') {
addAgreedPain(PAIN_STATEMENTS[currentIndex]);
}
Animated.timing(position, {
toValue: { x: direction === 'agree' ? 500 : -500, y: 0 },
duration: 250,
useNativeDriver: true,
}).start(() => {
position.setValue({ x: 0, y: 0 });
if (currentIndex + 1 >= PAIN_STATEMENTS.length) {
advance();
} else {
setCurrentIndex(i => i + 1);
}
});
};
return (
<View style={styles.container}>
<Text style={styles.title}>Do these sound familiar?</Text>
<Text style={styles.subtitle}>Swipe right if yes, left if no</Text>
<Animated.View
style={[styles.card, { transform: position.getTranslateTransform() }]}
{...panResponder.panHandlers}
>
<Text style={styles.cardText}>{PAIN_STATEMENTS[currentIndex]}</Text>
</Animated.View>
</View>
);
}
Flutter — Processing / Loading Screen
// Generated by /app-onboarding-questionnaire
import 'package:flutter/material.dart';
class ProcessingScreen extends StatefulWidget {
final VoidCallback onComplete;
const ProcessingScreen({required this.onComplete, super.key});
@override
State<ProcessingScreen> createState() => _ProcessingScreenState();
}
class _ProcessingScreenState extends State<ProcessingScreen>
with SingleTickerProviderStateMixin {
late AnimationController _controller;
int _stepIndex = 0;
final List<String> _steps = [
'Analysing your goals...',
'Matching your preferences...',
'Crafting your personal plan...',
'Almost ready!',
];
@override
void initState() {
super.initState();
_controller = AnimationController(vsync: this, duration: const Duration(seconds: 4))
..addListener(() {
final newIndex = (_controller.value * _steps.length).floor().clamp(0, _steps.length - 1);
if (newIndex != _stepIndex) {
setState(() => _stepIndex = newIndex);
}
})
..forward().whenComplete(widget.onComplete);
}
@override
Widget build(BuildContext context) {
return Scaffold(
body: Center(
child: Column(
mainAxisAlignment: MainAxisAlignment.center,
children: [
CircularProgressIndicator(value: _controller.value),
const SizedBox(height: 32),
AnimatedSwitcher(
duration: const Duration(milliseconds: 400),
child: Text(
_steps[_stepIndex],
key: ValueKey(_stepIndex),
style: Theme.of(context).textTheme.titleMedium,
),
),
],
),
),
);
}
}
SwiftUI — Permission Priming Screen (auto-generated from Info.plist)
// Generated from detected NSCameraUsageDescription in Info.plist
struct CameraPermissionPrimingView: View {
@EnvironmentObject var onboardingState: OnboardingState
var body: some View {
VStack(spacing: 32) {
Image(systemName: "camera.fill")
.font(.system(size: 64))
.foregroundColor(.accentColor)
VStack(spacing: 12) {
Text("Scan ingredients instantly")
.font(.title2.bold())
Text("Point your camera at any ingredient or barcode and we'll find matching recipes in seconds — no typing needed.")
.multilineTextAlignment(.center)
.foregroundColor(.secondary)
}
VStack(spacing: 8) {
Label("Identify 10,000+ ingredients", systemImage: "checkmark.circle.fill")
Label("Scan barcodes for nutrition info", systemImage: "checkmark.circle.fill")
Label("Works offline for pantry items", systemImage: "checkmark.circle.fill")
}
.foregroundColor(.primary)
Spacer()
PrimaryButton(title: "Enable Camera Access") {
// System prompt shown AFTER this priming screen
onboardingState.requestCameraPermission()
}
Button("Not now") {
onboardingState.skipPermission(.camera)
}
.foregroundColor(.secondary)
}
.padding(32)
}
}
Onboarding State Management Pattern
The skill generates a central state object to track progress across all screens:
// SwiftUI example
class OnboardingState: ObservableObject {
@Published var currentScreen: OnboardingScreen = .welcome
@Published var selectedGoal: String?
@Published var agreedPains: [String] = []
@Published var preferences: UserPreferences = .default
@Published var demoResult: DemoOutput?
// Persisted to UserDefaults so onboarding survives app restarts
func advance() {
let next = currentScreen.next(given: self)
withAnimation { currentScreen = next }
save()
}
func save() {
// Skill generates serialisation code appropriate to your stack
}
}
Configuration Options
When you run /app-onboarding-questionnaire, the skill asks about:
| Option | Description |
|---|---|
| App type | Subscription, freemium, one-time purchase |
| Core loop | The single thing users do in your app |
| Target audience | Who the app is for (used for copy tone) |
| Paywall timing | Whether to show paywall before or after account creation |
| Screens to skip | Comparison table, account gate, etc. |
| Brand colours | Used in generated SwiftUI/CSS/Flutter theme code |
Resuming a Session
Progress is saved to Claude Code's memory. To resume:
/app-onboarding-questionnaire resume
To restart from a specific screen:
/app-onboarding-questionnaire --from=paywall
Troubleshooting
Skill doesn't detect my permissions correctly
- iOS: ensure
Info.plistis at the project root or<AppName>/Info.plist - Android: ensure
AndroidManifest.xmlis atapp/src/main/AndroidManifest.xml - React Native: the skill checks both locations automatically
Generated code uses wrong framework
- The skill infers your framework from file extensions (
.swift,.tsx,.dart,.kt) - If detection fails, specify explicitly:
/app-onboarding-questionnaire --framework=swiftui
Paywall screen doesn't match my payment provider
- The skill generates a UI shell; wire up your payment provider (RevenueCat, StoreKit 2, stripe-react-native) separately
- RevenueCat is the recommended integration — the skill generates compatible purchase call sites
Want fewer screens for a simpler app
- The skill asks about complexity during setup
- You can also specify:
/app-onboarding-questionnaire --screens=welcome,goal,processing,paywall
Reference
The framework is based on analysis of the Mob recipe app's 19-screen onboarding flow, widely regarded as one of the highest-converting onboarding experiences on the App Store, combined with patterns from Noom, Headspace, and Duolingo.
FAQ
What does the claude-skill-app-onboarding-questionnaire skill do?
Claude Code skill that designs and builds high-converting questionnaire-style app onboarding flows modelled on proven conversion patterns from top subscription apps like Noom, Headspace, and Duolingo.
How do I install claude-skill-app-onboarding-questionnaire?
Run npx skills add https://github.com/reason-machines/trending-skills --skill claude-skill-app-onboarding-questionnaire in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/claude-skill-app-onboarding-questionnaire/ (personal) or .claude/skills/claude-skill-app-onboarding-questionnaire/ (project).
Which AI agents can use claude-skill-app-onboarding-questionnaire?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is claude-skill-app-onboarding-questionnaire safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains claude-skill-app-onboarding-questionnaire?
It is published by reason-machines in reason-machines/trending-skills. It has 583 recorded installs.
More from reason-machines/trending-skills
openclaw-control-center
reason-machines/trending-skills
Local-first, security-first control center for OpenClaw agents — visibility dashboard with readonly defaults, token attribution, collaboration tracing, and safe write operations.
inkos-multi-agent-novel-writing
reason-machines/trending-skills
Multi-agent CLI system for autonomous novel writing, auditing, and revision with human review gates
claude-hud-statusline
reason-machines/trending-skills
A Claude Code plugin that displays a real-time HUD showing context usage, active tools, running agents, and todo progress in your terminal statusline.
understand-anything-knowledge-graph
reason-machines/trending-skills
Turn any codebase into an interactive knowledge graph using Claude Code skills — explore, search, and ask questions about any project visually.
agency-agents-ai-specialists
reason-machines/trending-skills
A collection of specialized AI agent personalities for Claude Code, Cursor, Aider, Windsurf, and other AI coding tools — covering engineering, design, marketing, sales, and more.
agent-browser-automation
reason-machines/trending-skills
Headless browser automation CLI for AI agents using native Rust binary with Chrome DevTools Protocol
Popular marketing & seo skills
reddit-automation
flowkit-labs/skills
Find Reddit threads where people are genuinely asking for what you offer, then draft short, genuinely helpful replies — disclosing your affiliation honestly and naming your product only when it truly answers the question. Two moves: discovery — scan the right subreddits for real needs (recommendation asks, expressed pain, competitor mentions) and rank the few threads where you can actually help; drafting — write from real experience, respect each community's self-promo rules, and keep a human in the loop to review and post. This markets on Reddit the honest way: contribute value, disclose who you are, never astroturf. Distilled from the playbook behind doany.ai's Reddit agent. Triggers on "find reddit opportunities", "reddit marketing", "reddit automation", "reply on reddit for my product", "reddit community engagement", "reddit lead gen", or any ask to turn Reddit threads into genuine, disclosed marketing replies.
twitter-automation
101-skills/superpowers
Automate Twitter/X with posting, engagement, and user management via inference.sh CLI. Apps: x/post-tweet, x/post-create (with media), x/post-like, x/post-retweet, x/dm-send, x/user-follow. Capabilities: post tweets, schedule content, like posts, retweet, send DMs, follow users, get profiles. Use for: social media automation, content scheduling, engagement bots, audience growth, X API. Triggers: twitter api, x api, tweet automation, post to twitter, twitter bot, social media automation, x automation, tweet scheduler, twitter integration, post tweet, twitter post, x post, send tweet
twitter-automation
magentosh/superpowers
Automate Twitter/X with posting, engagement, and user management via inference.sh CLI. Apps: x/post-tweet, x/post-create (with media), x/post-like, x/post-retweet, x/dm-send, x/user-follow. Capabilities: post tweets, schedule content, like posts, retweet, send DMs, follow users, get profiles. Use for: social media automation, content scheduling, engagement bots, audience growth, X API. Triggers: twitter api, x api, tweet automation, post to twitter, twitter bot, social media automation, x automation, tweet scheduler, twitter integration, post tweet, twitter post, x post, send tweet
twitter-automation
qu-skills/superpowers
Automate Twitter/X with posting, engagement, and user management via inference.sh CLI. Apps: x/post-tweet, x/post-create (with media), x/post-like, x/post-retweet, x/dm-send, x/user-follow. Capabilities: post tweets, schedule content, like posts, retweet, send DMs, follow users, get profiles. Use for: social media automation, content scheduling, engagement bots, audience growth, X API. Triggers: twitter api, x api, tweet automation, post to twitter, twitter bot, social media automation, x automation, tweet scheduler, twitter integration, post tweet, twitter post, x post, send tweet
product-launch-video
heygen-com/hyperframes
Turn a product or marketing URL, pasted script, or brief into a product launch / promo video — SaaS promos, feature reveals, product demos, app and company launches. Use when the user wants to market, launch, promote, or reveal a product; the default for any commercial URL. Site tours / showcases of a website route here too — the brief carries the show-it-as-is intent. Unclear → /hyperframes.
twitter-automation
skills-shell/superpowers
Automate Twitter/X with posting, engagement, and user management via inference.sh CLI. Apps: x/post-tweet, x/post-create (with media), x/post-like, x/post-retweet, x/dm-send, x/user-follow. Capabilities: post tweets, schedule content, like posts, retweet, send DMs, follow users, get profiles. Use for: social media automation, content scheduling, engagement bots, audience growth, X API. Triggers: twitter api, x api, tweet automation, post to twitter, twitter bot, social media automation, x automation, tweet scheduler, twitter integration, post tweet, twitter post, x post, send tweet