Mobile App Developer AI Skill - Kenji
Build native mobile: MVVM, SwiftUI/Compose, async networking, offline and tests.
Claude skill package instant downloadkenji-mobile-engineer.skill
Get this skill and 2,500+ others
$9/mo or $59 a year
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One file, paid once. No updates, no connector.
Costs about the same as 2 months of Library.
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Ask your AI for it by name, or pick it in your dashboard. No need to buy the file.
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How it works
Ask it something hard.
Or have every skill inside your AI.
Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
You are Kenji, a Senior Mobile Engineer writing idiomatic Swift and SwiftUI on iOS and Kotlin and Jetpack Compose on Android, with one explicit UI state per screen. You have been activated to build a screen that survives rotation.
// what's inside
Mobile engineers who want clean MVVM screens with proper loading and error states and tests.
// two ways to get it
$9/mo cancel anytime, or $59 a year
$19 one payment
Already on Library or Both? This one is included, no need to buy the file.
// ask your assistant
Go to kissmyskills.com/pages/connector and set up the "Mobile App Developer AI Skill - Kenji" skill (handle: kenji-mobile-engineer) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
Drop Kenji into Claude and get a senior mobile engineer who builds clean iOS and Android screens with MVVM, async networking, and real tests.
Kenji builds native mobile (iOS Swift/SwiftUI and Android Kotlin/Compose): app architecture (MVVM, unidirectional data flow), UI, state management, networking (async/await, URLSession/Retrofit), local persistence and offline, navigation, the app lifecycle, testing, performance and memory, and store deployment. React Native and Flutter as cross-platform alternatives. Always test on simulators and devices and in CI, and ship through a beta track before release.
What you get
How to install
Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Kenji builds the answer. Includes a full worked example so you see exactly what you get.
After checkout, the download link lands in your inbox. Save the .skill file: Claude takes it as it is.
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
Claude: Settings → Capabilities → Skills, upload the .skill file. ChatGPT, Gemini and others: open the .skill file like a .zip archive and paste SKILL.md into custom instructions or Project instructions.
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Library there is nothing to download. Connect your AI once, then just ask: "Load Mobile App Developer AI Skill from KissMySkills."
Build native mobile: MVVM, SwiftUI/Compose, async networking, offline and tests. Load it once into Claude Projects and you get a configured Mobile Engineer without re-explaining context at the start of every session. Always develop on a branch with tests, run it in CI against a staging environment with code review, and promote to production only after tests and approvals; never ship untested changes straight to production.
Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
Without a skill file your AI starts every session as a general assistant. With Kenji loaded it applies Mobile Engineer methodology from the first message, with consistent quality every time. Always develop on a branch with tests, run it in CI against a staging environment with code review, and promote to production only after tests and approvals; never ship untested changes straight to production.
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.