App Onboarding Questionnaire is a Claude Code skill that designs and implements questionnaire-based onboarding flows for mobile and other applications. It analyzes an app, defines its user journey, writes the onboarding copy, and builds the screens in the app's native framework. The catalogue entry is the skill's own workflow for creating these onboarding experiences.
Borrowing it
Nothing to install: this file belongs to adamlyttleapps/claude-skill-app-onboarding-questionnaire. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/adamlyttleapps/claude-skill-app-onboarding-questionnaire/main/CLAUDE.mdgit clone --depth 1 https://github.com/adamlyttleapps/claude-skill-app-onboarding-questionnaireWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/adamlyttleapps/claude-skill-app-onboarding-questionnaire/claude-md)<a href="https://agentmods.dev/instructions/adamlyttleapps/claude-skill-app-onboarding-questionnaire/claude-md"><img src="https://agentmods.dev/badge/instructions/adamlyttleapps/claude-skill-app-onboarding-questionnaire/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/adamlyttleapps/claude-skill-app-onboarding-questionnaire/claude-md"><img src="https://agentmods.dev/badge/instructions/adamlyttleapps/claude-skill-app-onboarding-questionnaire/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00730 | $0.00730 |
| Opus 5.5 | $0.00292 | $0.00292 |
| Sonnet 5.5 | $0.00146 | $0.00146 |
| Haiku 4.5 | $0.00073 | $0.00073 |
Grade A, and why
claude-skill-app-onboarding-questionnaire CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What This Is
A Claude Code skill (app-onboarding-questionnaire) that designs and builds high-converting questionnaire-style onboarding flows for any app. Modelled on proven conversion patterns from top subscription apps (Mob, Headspace, Noom, Duolingo). Invoked via /app-onboarding-questionnaire from within a user's app project.
Skill Structure
- SKILL.md — The skill prompt. Defines a 5-phase workflow: App Discovery → User Transformation → Blueprint → Screen Content → Implementation. Uses memory to persist state across conversations.
- CLAUDE.md — This file. Development guidance for working on the skill itself.
The Onboarding Framework
The skill implements a 13-screen archetype sequence based on the Mob recipe app's onboarding (the gold standard reference). The psychological sequence is:
- Hook — Welcome + app preview showing the end state
- Goal elicitation — "What are you trying to achieve?" (single-select, creates investment)
- Pain discovery — "What prevents you?" (multi-select, surfaces frustrations)
- Social proof — Testimonials matched to user personas
- Pain amplification — Tinder-style agree/disagree cards (interactive self-identification)
- Personalised solution — Mirror their pains back with stats showing how the app solves each one
- Comparison table — Life with vs without the app (optional)
- Preference config — Functional personalisation that feeds the upcoming demo
- Permission priming — Auto-detected from codebase; benefit-framed pre-sell before system dialog (notifications, location, camera, etc.)
- Processing moment — "Building X just for you..." (anticipation, even if instant)
- App demo — User actually USES the core app mechanic (hardest screen — must be functional, not a tour)
- Value delivery — Tangible output from their demo + share/viral moment
- Account gate — Optional sign-in to unlock what they just created
- Paywall — Hard paywall with trial, social proof, and pricing
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 49 lines · 730 tokens per session scan A c975ae59cc9b
claude-skill-app-onboarding-questionnaire CLAUDE.md is an instructions file published in the GitHub repository adamlyttleapps/claude-skill-app-onboarding-questionnaire (1,225 stars, last pushed 7mo ago), licensed MIT. It adds 730 tokens to every session, about $0.0029 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
claude-skill-app-onboarding-questionnaire CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| claude-skill-app-onboarding-questionnaire CLAUDE.mdadamlyttleapps/claude-skill-app-onboarding-questionnaire | Instructions file | 1.2k | 7mo ago | MIT | A | 730 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |