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How to research how top apps structure onboarding and paywalls with Appllama Skills

Ask an agent how leading apps in a category run onboarding, what each step does, and where the paywall sits.

Who it is forA product manager or founder planning onboarding and monetization who needs evidence from top apps before deciding.

The problemOnboarding length, step purpose, and paywall placement are usually guessed rather than checked against apps that already earn revenue.

The outcomeA written comparison of onboarding flows and paywall placement across top-grossing apps in one category, with the reasoning behind each pattern.

What you need first

  • An MCP-capable agent such as Claude Code, Cursor, or Codex
  • An Appllama account with Pro, since MCP access is part of Pro
  • An Expo / React Native project and a simulator for the build loop

Steps

  1. Run npx skills@latest add appllama/appllama-skills --skill appllama-usage to install only the research engine. (inferred, check the README)
  2. Connect the Appllama MCP at https://mcp.appllama.io/mcp and approve it with your Appllama account.
  3. Name the category and the questions you want answered, such as length, step purpose, and paywall position.
  4. Ask your agent to follow the appllama-usage flow and element research playbook.
  5. Check the cited apps and their revenue or download context before using the findings in a decision.

Prompt for your agent

Using the appllama/appllama-skills repo, research how the top-grossing apps in <category> structure onboarding and where they place the paywall, through the Appllama MCP. Output a comparison table with the flow length, the purpose of each step, and the paywall position for each app, and verify each claim against the screens you studied.

Caveat. The research depends on what the Appllama library holds for your category, so treat the findings as a sample of top apps and not a full market survey.

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