react-native-ml-inference

Official

On-device ML inference with TensorFlow.js for React Native

Authorai-enhanced-engineer
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the challenges of on-device machine learning inference in React Native applications using TensorFlow.js, providing solutions for model preprocessing, memory management, and testability.

Core Features & Use Cases

  • Teachable Machine Model Preprocessing: Standardizes input normalization for Teachable Machine models.
  • Tensor Memory Management: Offers guidance on using tf.tidy and manual disposal to prevent memory leaks.
  • Jest Mock Patterns: Provides Jest configuration and mock patterns for testing tensor operations.
  • Use Case: Ideal for developers integrating TensorFlow.js models into React Native apps, aiming to optimize inference performance and memory usage.

Quick Start

Use the react-native-ml-inference skill to preprocess an image and perform inference on your Teachable Machine model.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: react-native-ml-inference
Download link: https://github.com/ai-enhanced-engineer/aiee-skills/archive/main.zip#react-native-ml-inference

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 620,000+ vetted skills library on demand.