appllama-usage
appllama/appllama-skills
Research real top-grossing mobile apps' screens and flows, then build from what you learn.
What is appllama-usage?
Appllama is a design library of screens, flows, and UI patterns from revenue-leading mobile apps. This skill teaches you how to use the Appllama MCP to research winning designs, navigate its tools and pagination, handle expiring media, and follow build-from-research playbooks. Use it whenever you're building a mobile app, improving a screen, or studying design patterns.
- Search and filter top-grossing apps by revenue, downloads, rating, launch date, and onboarding complexity
- Walk apps screen-by-screen in journey order (welcome → onboarding → paywall → product) with media, UI elements, and colors
- Research design patterns across the library by flow type, screen type, or UI element family
- Study visually similar screens from competing apps to understand design language
- Access member-curated boards and save research locally with durable screen IDs for offline synthesis
How to install appllama-usage
npx skills add https://github.com/appllama/appllama-skills --skill appllama-usage- Appllama MCP connection (mcp.appllama.io) must be active
- Appllama account with available credits (Pro: 1,500/month; every tool call except get_credits costs 1 credit)
- Optionally: appllama-app-design-skill for implementation after research
How to use appllama-usage
- 1.Call get_credits to check your balance and reset date
- 2.Use search_apps with natural-language queries and filters to find relevant top-grossing apps for your category
- 3.Call get_app on promising candidates to review full metrics, IAP pricing, and flow list
- 4.Use list_app_screens to walk the app's journey in order, downloading images as you study them
- 5.Use search_screens or get_element_screens to gather cross-app references for specific patterns or components
- 6.Save screen IDs, notes, and downloaded images locally in a research/ folder structure for offline synthesis
- 7.Follow the appropriate playbook (build-from-scratch.md, improve-a-screen.md, or research-methods.md) to synthesize findings into design decisions
- 8.Pair research with appllama-app-design-skill's simulator loop to validate and iterate your design
Use cases
- Building a new mobile app from scratch by studying category leaders and their onboarding/paywall flows
- Improving an existing screen by researching how top apps solve the same problem
- Researching a specific UI component (e.g., habit trackers, payment flows) across multiple winning apps
- Discovering design patterns within a flow taxonomy (e.g., all paywall variations in fitness apps)
- Validating design decisions against real revenue-leading competitors before implementation
- Mobile app designers and developers building new products or iterating existing ones
- Product managers researching competitive design patterns and user flows
- Design researchers studying what works in top-grossing apps
- Teams using Claude Code or Cursor with the Appllama MCP connected
appllama-usage FAQ
Media URLs expire in ~1 hour. If a link dies mid-task, re-request that page using the same screen ID to get fresh URLs. Screen IDs are durable; links are not.
No. Pagination is sequential — pass the next_cursor from each response to continue. You cannot skip pages, and a cursor only works for the query that created it. If a cursor errors, restart from page one.
Every image and video carries a small watermark in the top-left corner as provenance. Ignore it when reading the screen — do not let it skew your read of the status bar or back button, and never reproduce it in anything you build.
Sweeping the catalog to extract the dataset itself rather than answering a real task is harvesting and is detected server-side. Go deep on apps that matter for your task; don't bulk-scrape.
Wait out the stated time — do not retry-hammer. Per-minute and per-day limits sit far above real research; hits are rare.
Full instructions (SKILL.md)
Source of truth, from appllama/appllama-skills.
name: appllama-usage description: 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. license: MIT metadata: author: Appllama (appllama.io) version: 1.1.0
Appllama Usage Skill
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.
Ground rules (read first)
- Start with
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. - Go deep. Design language lives in the whole journey, not a sample — walk every screen of the apps that matter for the task, images included. That is exactly what the library is for. The one thing that's against the terms is harvesting: sweeping the catalog to extract the dataset itself rather than to answer a real task. That isn't research, and it's detected server-side.
- Media URLs expire in ~1 hour. Download/view what you study promptly. If links died mid-task, re-request that page for fresh ones — screen ids are durable, links are not.
- Ignore the watermark. Every Appllama image and video carries a small Appllama watermark in the top-left corner. It is provenance, not part of the screen — don't let it skew your read of that corner (status bar, back button, title), and never reproduce it in anything you build.
- Pagination is sequential. Every list response carries
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. - If you hit a rate limit, wait it out. The per-minute and per-day limits sit far above real research; on the rare hit, wait the stated time — don't retry-hammer.
- Errors are instructions. Tool errors are written to be acted on (expired cursor → restart; out of credits → tell the user their credits reset on the 1st and they can request more in Settings → Usage).
Tool map
| 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.
The playbooks
| 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.
Local reference boards
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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