# Android Gemini Nano

> Use when integrating Google Gemini Nano via AICore for on-device ML.

- Skill: `prasad-vennam/android-gemini-nano` (Agent Skill)
- Install (CLI): `npx skillmds@latest add prasad-vennam/android-gemini-nano`
- Raw SKILL.md: https://api.skillmd.com/api/skills/prasad-vennam/android-gemini-nano/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: prasad-vennam (https://skillmd.com/u/prasad-vennam)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/prasad-vennam/android-gemini-nano

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# Android Gemini Nano On-Device Integration 🧠

Gemini Nano allows for powerful, completely on-device AI generation. Because it runs locally via the AICore Android system service, careful life-cycle and asynchronous resource management is required.

## ⚡ When to Use

- When building chat interfaces, generating summaries, or drafting text without cloud latency.
- When the user asks to integrate "Gemini Nano" or "AICore".

## 🏗️ Core Rules / Pillars

### 1. AICore Dependency and Availability Check

- **Pattern**: AICore might not be downloaded or fully initialized. Always check availability before starting a session.
- **Implementation**:
  ```kotlin
  val generativeModel = GenerativeModel("gemini-nano")
  
  // ALWAYS verify availability first
  val isAvailable = generativeModel.isAvailable()
  if (!isAvailable) {
      // Request download or show fallback UI
  }
  ```

### 2. Streaming Responses with Flow
- **Pattern**: Because generation can take time on low-end devices, always use `generateContentStream` to stream the UI update instead of waiting for the full response.
- **Anti-Pattern**: NEVER block the main thread.
- **Implementation**:
  ```kotlin
  viewModelScope.launch {
      generativeModel.generateContentStream(prompt)
          .catch { e -> handleError(e) }
          .collect { chunk ->
              _uiState.update { it.copy(text = it.text + chunk.text) }
          }
  }
  ```

## 🚧 Critical Anti-Hallucination Guards

- **Trap**: `GenerativeModel` is part of the `com.google.ai.client.generativeai` SDK. Do NOT hallucinate custom `AICoreManager` wrapper singletons.

## 🔗 Related Resources
- [Google AI Edge / AICore SDK](https://developer.android.com/ai/custom/aicore)