# AI use cases for Appllama Skills (Appllama/appllama-skills) Repo: [Appllama/appllama-skills](https://github.com/Appllama/appllama-skills) | Use cases: 5 | Page: https://dedupedai.com/use-cases/appllama-appllama-skills/ A set of agent skills that teach AI coding agents to research top-grossing mobile apps through the Appllama MCP and build native-feeling Expo / React Native screens checked in a simulator. This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL. - Build a mobile app's screens from top-grossing patterns: https://dedupedai.com/use-cases/appllama-appllama-skills/build-app-screens-from-top-grossing-patterns/ - Improve an existing app screen against category leaders: https://dedupedai.com/use-cases/appllama-appllama-skills/improve-an-existing-app-screen/ - Research how top apps structure onboarding and paywalls: https://dedupedai.com/use-cases/appllama-appllama-skills/research-onboarding-and-paywall-flows/ - Plan which checkout screens push, sheet, or lock: https://dedupedai.com/use-cases/appllama-appllama-skills/plan-screen-navigation-for-a-checkout-flow/ - Review an app's animations and produce a fix plan: https://dedupedai.com/use-cases/appllama-appllama-skills/review-app-animations-and-motion/ ## How to build a mobile app's screens from top-grossing patterns with Appllama Skills Repo: [Appllama/appllama-skills](https://github.com/Appllama/appllama-skills) | Difficulty: Intermediate | Time: 90 minutes | Basis: From the README Have an agent study top-grossing apps in a category, then build the screens for your new app to a simulator-checked bar. **Who it is for:** A solo founder or app builder starting a new mobile app who wants screens that look as finished as the category leaders. **The problem:** Designing every screen of a new app from scratch is slow, and screens without reference often look generic or off-pattern. **The outcome:** A working set of native-feeling Expo / React Native screens, each checked in the simulator against patterns extracted from the category's top-grossing apps. ### Steps 1. Run `npx skills@latest add appllama/appllama-skills` from your project root. 2. Connect the Appllama MCP at `https://mcp.appllama.io/mcp` and approve it with your Appllama account. 3. Run `get_credits` to confirm your credit balance before starting, since every other call spends one credit. 4. Give your agent the app idea and ask it to follow the appllama-usage build-from-scratch playbook, then the appllama-app-design-skill build bar. 5. Review the simulator recordings the agent produces and reject any screen that does not match the category's design language. ### Prompt to paste into your agent ```text Using the appllama/appllama-skills repo, study the top-grossing apps in the category through the Appllama MCP, then build the core screens of in Expo / React Native. Output the screen list and simulator recordings, and verify that each screen was checked in the simulator before you report it done. ``` ### Caveat The README requires an Appllama Pro plan for MCP access and each call spends one credit, so plan your research budget before a large build. Risk, reverse engineering: The skills study real screens and flows of top-grossing apps, so copy the patterns and design language, not the exact assets or code of those apps. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/appllama-appllama-skills/build-app-screens-from-top-grossing-patterns/ ## How to improve an existing app screen against category leaders with Appllama Skills Repo: [Appllama/appllama-skills](https://github.com/Appllama/appllama-skills) | Difficulty: Intermediate | Time: 45 minutes | Basis: From the README Give an agent a screenshot, code, or Copy Screen ID and have it rebuild the screen to a higher bar. **Who it is for:** An app developer whose screen feels off or dated and who wants a concrete redesign grounded in what top apps do. **The problem:** It is hard to tell which parts of a screen are weak or what better screens in the same category actually do. **The outcome:** A revised screen in code, plus a short explanation of which patterns from the category were applied and why. ### Steps 1. Run `npx skills@latest add appllama/appllama-skills` from your project root. 2. Connect the Appllama MCP at `https://mcp.appllama.io/mcp` and approve it with your Appllama account. 3. Collect the screen as a screenshot, its code, or a "Copy Screen ID" reference from appllama.io. 4. Ask your agent to use the appllama-usage improve-a-screen playbook and the appllama-app-design-skill build bar on that screen. 5. Compare the before and after simulator recordings and keep only the changes that hold up next to the category screens. ### Prompt to paste into your agent ```text Using the appllama/appllama-skills repo, take the screen at and improve it against the top-grossing apps in its category through the Appllama MCP. Output the revised screen code and a list of changed patterns, and verify the result in the simulator before reporting it. ``` ### Caveat The README says the design skill is sharper with the MCP connected, so the research step adds value only when the MCP is set up and credited. Risk, reverse engineering: Matching a category's design language is the goal, so avoid copying distinctive screens or assets from the apps you study. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/appllama-appllama-skills/improve-an-existing-app-screen/ ## How to research how top apps structure onboarding and paywalls with Appllama Skills Repo: [Appllama/appllama-skills](https://github.com/Appllama/appllama-skills) | Difficulty: Beginner | Time: 30 minutes | Basis: From the README Ask an agent how leading apps in a category run onboarding, what each step does, and where the paywall sits. **Who it is for:** A product manager or founder planning onboarding and monetization who needs evidence from top apps before deciding. **The problem:** Onboarding length, step purpose, and paywall placement are usually guessed rather than checked against apps that already earn revenue. **The outcome:** A written comparison of onboarding flows and paywall placement across top-grossing apps in one category, with the reasoning behind each pattern. ### 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 to paste into your agent ```text Using the appllama/appllama-skills repo, research how the top-grossing apps in 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. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/appllama-appllama-skills/research-onboarding-and-paywall-flows/ ## How to plan which checkout screens push, sheet, or lock with Appllama Skills Repo: [Appllama/appllama-skills](https://github.com/Appllama/appllama-skills) | Difficulty: Advanced | Time: 60 minutes | Basis: From the README Have an agent decide the navigation for a checkout flow so users cannot return to the paywall after paying. **Who it is for:** A mobile developer wiring a purchase or checkout flow who needs clear rules for push, sheet, and one-way screens. **The problem:** Checkout flows break when back navigation returns users into the paywall after they have paid, and navigation choices are often made by habit. **The outcome:** A navigation map for the checkout flow that labels each screen as push, sheet, or one-way, plus the code for the transitions. ### Steps 1. Run `npx skills@latest add appllama/appllama-skills -a claude-code -a cursor -y` from your project root to install for those agents. 2. Describe the checkout flow screen by screen, including where payment completes. 3. Ask your agent to apply the appllama-app-design-skill navigation rules, including push versus replace, sheets, and one-way doors. 4. Ask for the navigation code and confirm it removes back access to the paywall after payment. 5. Run the simulator loop and scrub the purchase flow frame by frame to test back behavior. ### Prompt to paste into your agent ```text Using the appllama/appllama-skills repo, map the navigation for the in an Expo / React Native app, labeling each screen as push, sheet, or one-way. Output the navigation map and transition code, and verify in the simulator that the back action cannot return to the paywall after payment. ``` ### Caveat The README describes these navigation rules as part of the design skill, so you still need an Expo / React Native project and a simulator to verify the behavior. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/appllama-appllama-skills/plan-screen-navigation-for-a-checkout-flow/ ## How to review an app's animations and produce a fix plan with Appllama Skills Repo: [Appllama/appllama-skills](https://github.com/Appllama/appllama-skills) | Difficulty: Intermediate | Time: 45 minutes | Basis: From the README Have an agent audit motion in your app and list what to delete, move off the JS thread, or add velocity to. **Who it is for:** A mobile developer whose app feels sluggish or busy and who wants a clear motion audit before changing code. **The problem:** Animations often accumulate without purpose, run on the wrong thread, or ignore the finger's velocity, which makes the app feel unpolished. **The outcome:** A written motion review listing what to delete, what is on the wrong thread, and what is missing velocity, with a fix plan. ### Steps 1. Run `npx skills@latest add appllama/appllama-skills --skill appllama-app-design-skill` from your project root. 2. Point your agent at the Expo / React Native project folder you want reviewed. 3. Ask the agent to audit each animation against the motion bar: should it animate, is it on the JS thread, and does it carry velocity. 4. Ask for a prioritized fix plan with one entry per animation. 5. Run the simulator loop on the changed flows to confirm the motion reads correctly frame by frame. ### Prompt to paste into your agent ```text Using the appllama/appllama-skills repo, review the animations in against the motion bar in appllama-app-design-skill. Output a fix plan that lists what to delete, what runs on the wrong thread, and what lacks finger velocity, and verify the plan's changes in the simulator recording. ``` ### Caveat The motion audit works from the design skill alone, so you can run it without the Appllama MCP, though the README says the skill is sharper with the MCP connected. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/appllama-appllama-skills/review-app-animations-and-motion/