appllama/appllama-skills

appllama-usage

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 b…

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Installation

$ npx skills add appllama/appllama-skills --skill appllama-usage

Summary

  • 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.

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More details

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Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 1.1K
License LICENSE
Default branch main
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Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.1.0
LicenseMIT
More metadata
author
Appllama (appllama.io)
version
1.1.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 6,486 B
  • docs SUMMARY.md 549 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1,508 installs

SKILL.md

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)

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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.

  1. 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
listappscreens 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, screentype, element, appid); 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 screenref = appid/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
getflowapps Apps containing a flow, top revenue first Find the best examples of one flow
listuielements ~38 UI-element families with counts (one call) Vocabulary for element-level research
getelementscreens Screens featuring an element family Study how winners build one component
listmyboards 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 screenref handshake: members can click "Copy Screen ID" on any screen at appllama.io and paste it to you. It looks like 1393061654/spl9i075 — feed it straight to getscreen(screenref=...) 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](references/build-from-scratch.md)
Make an existing screen better [references/improve-a-screen.md](references/improve-a-screen.md)
Flow & element research; general research method [references/research-methods.md](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.