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react-native-ai-skills

Guide React Native AI provider selection and integration for on-device inference.

Updated Mar 5, 2026
Search Tags:#react-native#vercel ai sdk#apple intelligence#gguf#on-device ai#llama-rn#mlc-llm
One-click install
npx skills add https://github.com/truongnat/emplus --skill react-native-ai-skills
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: react-native-ai-skills
Source: https://github.com/truongnat/emplus/tree/main/.agents/skills/react-native-ai-skills
Command: npx skills add https://github.com/truongnat/emplus --skill react-native-ai-skills

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

React Native developers need a reliable way to choose, install, and wire the correct on-device AI provider so apps can generate text, compute embeddings, or run local inference without confusing setup steps.

Core Features & Use Cases

  • Provider selection and integration guidance: Decide between Apple, Llama (GGUF via llama.rn), MLC-LLM, and low-level NCNN based on the target models and platform constraints.
  • End-to-end setup recipes: Install the right package(s), validate provider availability where applicable, and wire model usage with Vercel AI SDK generateText/streamText patterns.
  • Model lifecycle management: Download, prepare/unload, and manage model storage and execution flows for Llama and MLC-LLM; handle native model paths for NCNN.

Use case example: You want a React Native app to run an offline chat experience using a specific GGUF model—select the Llama path, download the model, prepare it, then call generateText with the provider-backed language model.

Quick Start

Install the correct provider package for your chosen path and follow its checklist to enable the provider, then call generateText with the provider’s model instance.

Frequently Asked Questions about react-native-ai-skills

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run on-device AI inference in React Native without an internet connection?▼

To run on-device AI inference in React Native, you select a provider like Llama via llama.rn, MLC-LLM, or NCNN, install the required packages, download the model, and call generateText or inference APIs.

What is the best way to integrate a GGUF model for offline chat in React Native?▼

The best way to integrate a GGUF model in React Native is using the Llama path via llama.rn, managing the model download and lifecycle, then calling generateText with the provider-backed language model instance.

Does React Native on-device AI work with the Vercel AI SDK?▼

Yes, React Native on-device AI integrates with the Vercel AI SDK by wiring the installed provider's model instance to the Vercel AI SDK generateText or streamText patterns for local execution.

How do I set up Apple Intelligence for text generation on supported iOS devices?▼

To set up Apple Intelligence on supported iOS devices, you select the Apple path, validate provider availability, install the correct packages, and wire the model usage to your text generation calls.

Can I use MLC-LLM with Expo for on-device text generation in React Native?▼

Yes, you can use MLC-LLM with Expo for React Native on-device text generation by preparing the MLC model download and handling iOS memory entitlements during your setup process.

When should I choose NCNN over Llama or MLC-LLM for React Native AI?▼

Choose NCNN over Llama or MLC-LLM when you need low-level tensor inference in React Native rather than standard text generation or embeddings, managing native model paths directly.

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