by Appllama
A builder, not just a researcher. Agent skills that turn top-grossing app patterns into native-quality mobile screens.
# Add to your Claude Code skills
git clone https://github.com/Appllama/appllama-skillsGuides for using ai agents skills like appllama-skills.
appllama-skills is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Appllama. A builder, not just a researcher. Agent skills that turn top-grossing app patterns into native-quality mobile screens. It has 56 GitHub stars.
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Clone the repository with "git clone https://github.com/Appllama/appllama-skills" and add it to your Claude Code skills directory (see the Installation section above).
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh appllama-skills against similar tools.
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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.
| 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, Reanimated motion, perceived performance, generated image assets, and a full-motion simulator-verified iteration loop (whole flows recorded and scrubbed at 60 fps, 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.
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
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.)
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/
The skills assume the Appllama MCP is connected:
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.
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?
MIT. The Appllama name, llama, and logo are trademarks of Antmind Ventures Private Limited — the license does not grant rights to use them.