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Claude Skill App Onboarding Questionnaire

  • 506 installs
  • 70 repo stars
  • Updated July 9, 2026
  • aradotso/trending-skills

claude-skill-app-onboarding-questionnaire is a Claude Code skill that designs and builds questionnaire-style mobile onboarding flows with copy and production code modeled on patterns from Noom, Headspace, and Duolingo.

About

Claude-skill-app-onboarding-questionnaire is an agent skill that analyses your existing app codebase and generates a complete, high-converting questionnaire-style onboarding flow. It reads your source, manifest and screen files to understand purpose and users, defines a transformation narrative, then produces a 14-screen psychological framework with all headlines, questions, answers, screen designs and ready-to-ship code. Built for developers who want onboarding that drives subscriptions without weeks of design and copy iteration. It turns vague "improve onboarding" requests into structured, conversion-focused flows modelled on top consumer apps.

  • Analyzes your existing codebase, manifest files, and screens to understand context
  • Constructs a before/after user transformation narrative
  • Applies a 14-screen psychological conversion framework
  • Generates complete copy, UI designs, and production-ready code
  • Models flows on proven subscription app patterns

Claude Skill App Onboarding Questionnaire by the numbers

  • 506 all-time installs (skills.sh)
  • Ranked #592 of 1,880 Design & UI/UX skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/aradotso/trending-skills --skill claude-skill-app-onboarding-questionnaire

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Installs506
repo stars70
Last updatedJuly 9, 2026
Repositoryaradotso/trending-skills

How do you build high-converting app onboarding questionnaires?

Instantly generate high-converting questionnaire-style onboarding flows with copy, screen designs, and production code based on proven patterns from Noom, Headspace, an

Who is it for?

Mobile developers shipping subscription apps who need agent-built questionnaire onboarding modeled on proven conversion patterns.

Skip if: Backend-only APIs, desktop web apps without mobile onboarding, or teams with finalized onboarding requiring no UX generation.

When should I use this skill?

The user asks to build onboarding flows, questionnaire screens, paywall onboarding, or high-converting app welcome questions.

What you get

Onboarding screen designs, questionnaire copy, welcome-flow wireframes, and production onboarding code.

  • Onboarding screen components
  • Questionnaire copy deck
  • Welcome flow implementation

By the numbers

  • Documents 8 trigger phrases for onboarding and paywall flows
  • References 3 benchmark subscription apps: Noom, Headspace, and Duolingo

Files

SKILL.mdMarkdownGitHub ↗

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:

1. 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 2. Defines the user transformation — constructs a before/after narrative that drives the onboarding story 3. Designs a screen-by-screen blueprint — using a 14-screen psychological conversion framework 4. Drafts all copy — headlines, questions, answer options, CTAs, testimonials, social proof 5. 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

#ScreenConversion Purpose
1WelcomeHook — show the end state, create desire
2Goal Question"What are you trying to achieve?" — psychological investment
3Pain Points"What prevents you?" — builds empathy
4Social ProofPersona-matched testimonials
5Tinder CardsSwipe agree/disagree on pain statements
6Personalised SolutionMirror pains back with app solution stats
7Comparison TableLife with vs without the app (optional)
8PreferencesFunctional personalisation for the demo
9Permission PrimingBenefit-framed pre-sell before system dialogs
10Processing Moment"Building X just for you..." anticipation builder
11App DemoUser actually uses the core app mechanic
12Value DeliveryTangible output + share/viral moment
13Account GateOptional sign-in to save what they created
14PaywallHard 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.plist for NSCameraUsageDescription, NSLocationWhenInUseUsageDescription, etc.
  • Android: reads AndroidManifest.xml for uses-permission entries
  • 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:

OptionDescription
App typeSubscription, freemium, one-time purchase
Core loopThe single thing users do in your app
Target audienceWho the app is for (used for copy tone)
Paywall timingWhether to show paywall before or after account creation
Screens to skipComparison table, account gate, etc.
Brand coloursUsed 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.plist is at the project root or <AppName>/Info.plist
  • Android: ensure AndroidManifest.xml is at app/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.

Related skills

FAQ

Which apps inspire claude-skill-app-onboarding-questionnaire?

claude-skill-app-onboarding-questionnaire models flows on Noom, Headspace, and Duolingo conversion patterns. The skill outputs questionnaire screens, copy, and code aligned with those subscription onboarding approaches.

Does the skill only design or also write code?

claude-skill-app-onboarding-questionnaire delivers screen designs, onboarding copy, and production code. Developers get implementable questionnaire flows rather than static mockups alone.

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