A builder, not just a researcher.
Agent skills that make AI agents genuinely good at building mobile apps —
studied against the top-grossing apps, finished to a simulator-verified bar.
appllama.io · MCP · X · LinkedIn · Product Hunt
Appllama is the design library of top-grossing mobile apps — their real screens, flows, and UI patterns, with revenue and download context. These skills turn that library into an agent's working method: study every screen of the apps that already win, extract the category's design language, then build screens that hold up next to them.
The skills
| Skill | What it does |
|---|---|
appllama-usage |
The research engine: how to use the Appllama MCP like a design director — the full tool map, and the playbooks for building an app from scratch, improving an existing screen, and flow & element research. |
appllama-app-design-skill |
The build bar: native-feeling Expo / React Native screens — Apple HIG fidelity, semantic colors, native controls, anti-slop discipline, navigation that behaves (push vs replace, sheets and overlays, the one-way doors where back must not exist), a strict motion bar (should it animate at all, springs that carry the finger's velocity, nothing on the JS thread), generated image assets, and a full-motion simulator loop (whole flows recorded and scrubbed frame by frame, not screenshots). |
They are designed as a pair: usage decides what to study, design decides how to build, and both insist the loop only ends in a simulator with a screen you can't fault.
Install
One command, from your project root — works with Claude Code, Cursor, Codex, and 70+ other agents:
npx skills@latest add appllama/appllama-skills
Variations:
# install for specific agents, no prompts npx skills@latest add appllama/appllama-skills -a claude-code -a cursor -y # install user-wide instead of per-project npx skills@latest add appllama/appllama-skills -g
Only want the app design skill?
appllama-app-design-skill stands on its own — the native-quality build
bar, anti-slop discipline, and the full-motion simulator loop work with or
without the Appllama MCP connected:
npx skills@latest add appllama/appllama-skills --skill appllama-app-design-skill
(The same --skill flag installs only appllama-usage if you want just the
research engine.)
Manual install
Skills are plain directories — copy them into your agent's skills folder
(.claude/skills/ per project, ~/.claude/skills/ user-wide, or your
harness's equivalent):
git clone https://github.com/appllama/appllama-skills cp -r appllama-skills/skills/* ~/.claude/skills/
Connect the Appllama MCP
appllama-usage runs on the Appllama MCP; appllama-app-design-skill is
sharper with it connected. The endpoint:
https://mcp.appllama.io/mcp
Add it as a custom connector in Claude, Cursor, Codex, or any MCP client
and approve the connection with your Appllama account. MCP access is part
of Pro; credits reset in full on the 1st of
each month. Every call spends one credit — get_credits is always free.
Try it
With the MCP connected and the skills installed, ask your agent:
Build me a habit tracker. Study the top-grossing habit apps first and don't stop until every screen survives the simulator comparison.
Make this screen better. (paste a screenshot, code, or a "Copy Screen ID" ref from appllama.io)
How do the best fitness apps structure onboarding — how long, what does each step earn, and where does the paywall sit?
Wire up the checkout flow. Decide which screens push, which present as sheets, and make sure nobody can go back into the paywall after paying.
Review the animations in this app — what should be deleted, what's on the wrong thread, what's missing velocity — and give me the plan.
License
MIT. The Appllama name, llama, and logo are trademarks of Antmind Ventures Private Limited — the license does not grant rights to use them.
Built by Appllama — the design library of top-grossing apps.
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