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#759 by GitHub stars

adamlyttleapps/claude-skill-app-onboarding-questionnaire

Design and build a high-converting questionnaire-style onboarding flow for your app, modelled on proven conversion patterns from top subscription apps.

Claude CodeEngineering

History

Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.

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git clone --filter=blob:none --no-checkout https://github.com/adamlyttleapps/claude-skill-app-onboarding-questionnaire.git .hotskills/adamlyttleapps-claude-skill-app-onboarding-questionnaire && git -C .hotskills/adamlyttleapps-claude-skill-app-onboarding-questionnaire checkout --detach 5bc4786d80f2c23de60b3ba02773e919ed8fd091 # Copy each selected skill directory from .hotskills/adamlyttleapps-claude-skill-app-onboarding-questionnaire into .claude/skills/<skill-name>/
1.2kGitHub stars
1star in 7 days
1skill in this repository
0commits in 30 days

Heat

1.7
  • Star growth, last 7 daysAhead of 36% of tracked repositories
  • Star growth, last 24 hoursAhead of 5% of tracked repositories
  • Rank movement, last 7 daysAhead of 11% of tracked repositories
  • Commits, last 30 daysAhead of 0% of tracked repositories
  • Accounts asking about it through MCP, last 7 daysNot available
  • Hot votes this weekAhead of 0% of tracked repositories

Heat never changes the order by stars, and sponsorship never touches it. How heat works

Stars over time

Aug 2, 2026Nov 5, 20261,227

Individual skills in this repository

How it works

app-onboarding-questionnaire

When your agent uses it

Design and build a high-converting questionnaire-style onboarding flow for your app, modelled on proven conversion patterns from top subscription apps.

What it loads into context

Frontmatter

42 tokens

Always available to the agent

SKILL.md

4,886 tokens

When the skill is activated

Reference documents

1,632 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. RECALL (Always Do This First)
  2. PHASE 1: APP DISCOVERY
  3. PHASE 2: USER TRANSFORMATION
  4. PHASE 3: ONBOARDING BLUEPRINT
  5. PHASE 4: SCREEN CONTENT
  6. PHASE 5: IMPLEMENTATION
  7. IMPORTANT GUIDELINES

Files

  • CLAUDE.mddoc3,421 bytes
  • LICENSEasset1,068 bytes
  • README.mddoc4,046 bytes
  • SKILL.mdcore22,086 bytes
Read SKILL.md

You are an expert mobile app onboarding designer and conversion strategist. Your job is to help the user design and implement a high-converting onboarding flow for their app — the kind used by top subscription apps like Mob, Headspace, Duolingo, and Noom.

This is a multi-phase process. Follow each phase in order — but ALWAYS check memory first.

---

## RECALL (Always Do This First)

Before doing ANY codebase analysis, check the Claude Code memory system for all previously saved state for this app. The skill saves progress at each phase, so the user can resume from wherever they left off.

**Check memory for each of these (in order):**

1. **App profile** — what the app does, target audience, platform/framework, core features
2. **User transformation** — the before/after state the app creates for its users
View the complete source on GitHub

Skills included

  • app-onboarding-questionnaire

Repository facts

License
MIT
Created
Apr 6, 2026
Last pushed
Apr 6, 2026
Forks
115
Open issues
2
Project activity
Slowing

Rank over the last 12 weeks

Now #759 · best #497 · down 153 in 30 days

  1. #746 on Oct 31
  2. #748 on Nov 1
  3. #751 on Nov 2
  4. #757 on Nov 3
  5. #758 on Nov 4
  6. #759 since Nov 5
53 earlier periods
  1. #489 on Aug 2
  2. #500 on Aug 7
  3. #496 from Aug 8 to Aug 9
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Before you install

Instructions only

Automated signals, not a guarantee

Checked Nov 3, 2026

  • No broad tool permissions
  • No dangerous shell commands
  • 4 network referencesin 1 file: README.md:3
  • No hidden or obfuscated text
  • No instruction overrides
  • No executable scripts
  • No access to secrets
  • No requests to vote in Hot
Show all 4 signals by file

README.md

  • Network accessline 3
    A [Claude Code](https://claude.ai/code) skill that designs and builds high-converting questionnaire-style onboarding flows for your app — modelled on proven conversion patterns from top subscription apps like Mob, Headspace, Noom, and Duoli
  • Network accessline 54
    cd ~/.claude/skills git clone https://github.com/adamlyttleapps/claude-skill-app-onboarding-questoinnaire.git app-onboarding-questionnaire
  • Network accessline 55
    git clone https://github.com/adamlyttleapps/claude-skill-app-onboarding-questoinnaire.git app-onboarding-questionnaire
  • Network accessline 80
    The framework is based on analysis of the [Mob](https://www.mob.co.uk/) recipe app's onboarding flow (19 screens), which is widely regarded as one of the best-converting onboarding experiences in the App Store.

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Signal confidence: 1 fact
  • Network access in code of documentationREADME.md:55Low confidence

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeNativePath CLAUDE.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

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adamlyttleapps/claude-skill-app-onboarding-questionnaire: #759 on hotskills, 1.2k stars

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