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ml-kit-genai-prompt-api

Analyzes Android codebases to implement ML Kit GenAI Prompt API. Use this skill to send natural language requests on-device to Gemini Nano, use structured output with Prompt API, implement prefix caching, optimize the current prompt, or apply best practices."

device-ai/ml-kit-genai-prompt-api/SKILL.md

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Last checked: Nov 3, 2026

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Repository stars (not skill ratings): 10,398
Repository last updated: Nov 5, 2026
License: Apache-2.0

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SKILL.mdcore · 4,179 bytes
references/get-started.mddoc · 10,837 bytes
references/prefix-caching.mddoc · 5,821 bytes
references/prompt-design.mddoc · 3,573 bytes
references/prompt-optimization.mddoc · 4,649 bytes
references/structured-output.mddoc · 10,437 bytes
references/system-instructions.mddoc · 3,394 bytes

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This skill provides step-by-step guidance for integrating and optimizing the ML
Kit GenAI Prompt API in Android apps.

## Prerequisites

- Android API level must be 26 or higher. If `minSdk` is below 26, update it to 26.
- Add the ML Kit GenAI Prompt API dependency (`com.google.mlkit:genai-prompt`) to the app-level `build.gradle` file, with version at least `1.0.0-beta4`.
- If `com.google.mlkit:genai-schema-compiler` dependency is used and KSP plugin version is below 2.3.6, update it to 2.3.6.

## Detailed steps

### 1. Prompt optimization

To optimize prompts for use with the ML Kit Prompt API, follow the