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adamlyttleappsAI skill for designing and building high-converting app onboarding flows
Top 36.0% on SourcePulse
This Claude Code skill automates the design and implementation of high-converting, questionnaire-style app onboarding flows. It targets app developers seeking to improve user acquisition and retention by leveraging proven psychological frameworks and analyzing existing codebases. The benefit is a streamlined, data-driven onboarding process without requiring deep marketing expertise.
How It Works
The skill analyzes an app's codebase to understand its purpose and requirements. It then applies a 14-screen psychological framework, adapted from successful subscription apps, to guide users through a narrative arc. Key differentiators include generating a functional "App Demo Screen" showcasing the core app mechanic, designing a shareable "Viral Moment" for organic growth, and implementing "Permission Priming" screens that significantly boost conversion rates compared to standard system prompts. The process is interactive, with progress saved in Claude Code's memory.
Quick Start & Requirements
Installation involves either cloning the repository into the Claude Code skills directory (~/.claude/skills) or adding it as a dependency in the project's .claude/settings.json. Usage requires running the /app-onboarding-questionnaire command within a Claude Code environment from the app's project directory. No specific non-default prerequisites beyond the Claude Code environment are mentioned.
Highlighted Details
Maintenance & Community
The provided README does not contain specific details regarding notable contributors, sponsorships, community channels (like Discord or Slack), or a public roadmap.
Licensing & Compatibility
The project is released under the MIT License. This license is permissive and generally compatible with commercial use and closed-source applications, allowing for broad adoption without significant restrictions.
Limitations & Caveats
The skill is dependent on the Claude Code environment for execution. The README does not explicitly detail limitations, potential bugs, or alpha/beta status, suggesting it may be production-ready or that further investigation into its stability and feature completeness is warranted. The effectiveness of the generated onboarding flow is contingent on the accuracy of the codebase analysis and the user's input during the interactive process.
1 month ago
Inactive
nexu-io