Magitivk - Magisk Module Optimization Tool

A powerful Kotlin-based tool for optimizing and managing Magisk modules with advanced features and intuitive interfaces.

📋 Table of Contents

• Overview
• Features
• Requirements
• Installation
• Usage
• Configuration
• API Documentation
• Contributing
• License

🎯 Overview

Magitivk is a comprehensive optimization tool designed to simplify Magisk module management. It provides developers and advanced users with powerful utilities to create, optimize, and deploy Magisk modules efficiently.

Whether you're developing custom modules or looking to optimize existing ones, Magitivk streamlines the entire workflow with intelligent automation and user-friendly tools.

✨ Features

• Module Optimization: Automatically optimize module structure and dependencies
• Batch Processing: Handle multiple modules simultaneously with batch operations
• Performance Analysis: Analyze module performance impact on system
• Conflict Detection: Identify and resolve module conflicts before deployment
• Module Validation: Comprehensive validation of module structure and syntax
• Custom Templates: Pre-built templates for common module types
• Automated Testing: Built-in testing framework for module functionality
• Detailed Logging: Comprehensive logs for debugging and monitoring
• Configuration Management: Easy-to-use configuration system
• CLI & GUI Support: Both command-line and graphical interfaces available

📦 Requirements

• Java Runtime: JRE 11 or higher
• Kotlin: 1.8.0 or higher
• Operating System: Windows, macOS, or Linux
• Memory: Minimum 2GB RAM recommended
• Disk Space: At least 500MB for installation and caching

🚀 Installation

From Source

1. Clone the repository:

git clone https://github.com/UrielLibbbb/magitivk.git
cd magitivk

2. Build the project:

./gradlew build

3. Run the application:

./gradlew run

Pre-built Binary

Download the latest release from GitHub Releases

# Extract the archive
unzip magitivk-v1.0.0.zip
cd magitivk

# Run the application
java -jar magitivk.jar

📖 Usage

Command Line Interface

Optimize a Module

magitivk optimize --module path/to/module

Validate Module Structure

magitivk validate --module path/to/module

Analyze Performance Impact

magitivk analyze --module path/to/module

Batch Process Multiple Modules

magitivk batch --input modules/ --output optimized/

Detect Conflicts

magitivk conflict-check --modules module1 module2 module3

Graphical User Interface

Simply run the application without parameters to launch the GUI:

magitivk
# or
java -jar magitivk.jar

The intuitive interface guides you through:

1. Module selection
2. Configuration settings
3. Optimization parameters
4. Results and reports

⚙️ Configuration

Configuration File

Create a magitivk.config file in your project directory:

# Module Settings
module.validation.strict=true
module.optimization.level=3
module.testing.enabled=true

# Performance
performance.parallel.enabled=true
performance.parallel.threads=4
performance.analysis.depth=2

# Output
output.format=json
output.verbosity=INFO
output.save-logs=true

# Advanced
advanced.cache.enabled=true
advanced.cache.ttl=3600
advanced.auto-update=false

Environment Variables

# Set log level
export MAGITIVK_LOG_LEVEL=DEBUG

# Set working directory
export MAGITIVK_HOME=/path/to/magitivk

# Enable performance profiling
export MAGITIVK_PROFILE=true

🔌 API Documentation

Core Classes

ModuleOptimizer

class ModuleOptimizer(config: OptimizationConfig) {
    fun optimize(module: Module): OptimizedModule
    fun validateModule(module: Module): ValidationResult
    fun analyzePerformance(module: Module): PerformanceMetrics
}

ModuleValidator

class ModuleValidator {
    fun validate(module: Module): List<ValidationIssue>
    fun checkStructure(module: Module): Boolean
    fun verifySyntax(module: Module): Boolean
}

ConflictDetector

class ConflictDetector {
    fun detectConflicts(modules: List<Module>): List<Conflict>
    fun suggestResolutions(conflict: Conflict): List<Resolution>
}

Usage Example

import com.magitivk.optimizer.ModuleOptimizer
import com.magitivk.config.OptimizationConfig

fun main() {
    // Create configuration
    val config = OptimizationConfig {
        optimizationLevel = 3
        parallelProcessing = true
        threadCount = 4
    }
    
    // Initialize optimizer
    val optimizer = ModuleOptimizer(config)
    
    // Optimize module
    val module = loadModule("path/to/module")
    val optimized = optimizer.optimize(module)
    
    // Save results
    optimized.save("path/to/output")
}

🤝 Contributing

We welcome contributions! Please follow these steps:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Development Setup

1. Clone your fork
2. Build the project: ./gradlew build
3. Run tests: ./gradlew test
4. Format code: ./gradlew ktlintFormat
5. Lint code: ./gradlew ktlint

Code Style

• Follow Kotlin conventions as defined in the official style guide
• Use meaningful variable and function names
• Add documentation comments for public APIs
• Write unit tests for new features

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🐛 Bug Reports & Feature Requests

Found a bug or have a feature request? Please create an issue on GitHub.

📞 Support

• Documentation: Wiki
• Issues: GitHub Issues
• Discussions: GitHub Discussions

🙏 Acknowledgments

• Magisk project and community
• Kotlin community
• All contributors and users

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Last Updated: 2025-12-30
Version: 1.0.0
Maintainer: UrielLibbbb