MCP servers · v0.1.0
A builder, not just a researcher. Agent skills that turn top-grossing app patterns into native-quality mobile screens.
#agent-skills#ai-agents#claude
Use the Appllama MCP (mcp.appllama.io) well — research real top-grossing mobile apps, their screens, flows, and UI elements, then build from what you learn. Load when the Appllama MCP is connected and the task involves building a mobile app or screen, researching app design patterns, studying onboarding/paywall/feature flows, improving an existing screen, or whenever an appllama_* / search_apps / list_app_screens tool is available. Covers the tool map, pagination, expiring media, and the full build-from-research playbooks.
by Appllama · updated 19d ago · imported from GitHub
Appllama is the design library of top-grossing mobile apps — their real screens, flows, and UI patterns, with revenue and download context. The MCP puts that library in an agent's hands: not just a research tool, a builder's tool. You study what already wins, then you build something better.
Pair this skill with appllama-app-design-skill for every design/implementation step — this skill tells you what to study; that one tells you how to build.
get_credits — it's free. It tells you the balance,
limits, and reset date. Pro includes 1,500 credits a month (they reset in
full on the 1st, UTC); every other call spends 1 credit.next_cursor;
pass it back to continue. You cannot jump to page N — and a cursor only
works for the same query that minted it. If a cursor errors, drop it and
restart from page one.| Tool | What it gives you | Typical use |
|---|---|---|
get_credits | Balance, limits, reset date. Free. | Session start |
search_apps | 10 apps/page: name, revenue, downloads, rating, launch date, screens count, flow list with screen counts. Natural-language query + filters (revenue/downloads/rating/launch date/price/onboarding steps) + sort + board_id | Find the top apps for a category or need |
get_app | One app in full: ratings breakdown, category rank, IAP pricing, top countries, flows | Decide if an app deserves a deep study |
list_app_screens | 10 screens/page in journey order (welcome → onboarding → paywall → product), each with media URL, flow, UI elements, colors. Filter by flow or section | Walk an app screen by screen |
search_screens | Screens across the whole library. mode="keyword" matches screen names + filters (flow, screen_type, element, app_id); mode="semantic" searches by meaning/visual language | Gather design references for one screen type |
get_screen | One screen in full + up to 5 visually similar screens from other apps. Accepts screen_ref = app_id/screen_id (what appllama.io's "Copy Screen ID" produces) | The user pasted a screen ref; or drill into one reference |
list_flows | The flow taxonomy with screen/app counts | Discover what flows exist for a category |
get_flow_apps | Apps containing a flow, top revenue first | Find the best examples of one flow |
list_ui_elements | ~38 UI-element families with counts (one call) | Vocabulary for element-level research |
get_element_screens | Screens featuring an element family | Study how winners build one component |
list_my_boards | The member's own appllama.io boards (screens / apps / flows) | Find their curation first |
get_board | A board's full contents: screens with media, app profiles, or (app, flow) pairs | When the member curated a board for the task, START from it |
The screen_ref handshake: members can click "Copy Screen ID" on any
screen at appllama.io and paste it to you. It looks like
1393061654/spl_9i075 — feed it straight to
get_screen(screen_ref=...) and you're looking at exactly the screen they
mean, plus its closest siblings across the library.
| Scenario | Reference |
|---|---|
| Build an app from scratch (e.g. "build me a habit tracker") | references/build-from-scratch.md |
| Make an existing screen better | references/improve-a-screen.md |
| Flow & element research; general research method | references/research-methods.md |
Both build playbooks end the same way: the simulator loop from appllama-app-design-skill, repeated until you cannot find a flaw. Research without that loop is decoration.
When you pull screens for study, save them into a local working structure — links expire in about an hour, but your notes and downloads don't:
research/
<category>/
apps.md # the shortlist: metrics, flows, verdicts
<app-name>/
screens.md # per-screen notes: id, name, flow, elements, colors
img/ # downloaded screens, in journey order
patterns.md # cross-app synthesis: the category's design language
Download the screens as you study them — synthesis happens with the images side by side, not from metadata. Notes and screen IDs are durable; re-fetch a fresh link from the ID if you ever need the pixels again.
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MCP servers · v0.1.0
A builder, not just a researcher. Agent skills that turn top-grossing app patterns into native-quality mobile screens.
#agent-skills#ai-agents#claude
Prompts · v0.1.0
Build native-feeling, benchmark-quality mobile app screens (Expo / React Native). Use when designing or implementing any mobile UI — screens, flows, onboarding, paywalls, tab bars, sheets, settings, empty states — or when polishing motion, navigation, typography, dark mode, or perceived performance. Enforces Apple HIG fidelity, semantic colors, native controls, anti-slop discipline, navigation semantics (push vs replace, modal vs sheet vs overlay, the one-way doors where back must not exist), purposeful Reanimated motion, a full-motion simulator-verified iteration loop, and a study-real-apps-first workflow (pairs with the Appllama MCP). Trigger on "build a screen", "make this screen better", "design the onboarding", "wire up this flow", "polish the UI", "make it feel native", or any mobile design/implementation task.
#agent-skills#ai-agents#claude