compose-skill

Provide architectural guidance and performance optimization for Jetpack Compose and Compose Multiplatform development.

Updated Jul 6, 2026
One-click install
npx skills add https://github.com/shirulot/codex-skill --skill compose-skill-shirulot
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: compose-skill
Source: https://github.com/shirulot/codex-skill/tree/main/jetpack-compose-language-practices
Command: npx skills add https://github.com/shirulot/codex-skill --skill compose-skill-shirulot

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This skill solves the challenge of maintaining architectural consistency and performance in complex Jetpack Compose and Compose Multiplatform projects by providing an expert-level knowledge base for AI agents.

Core Features & Use Cases

  • Architectural Guidance: Enforces MVI/MVVM patterns, state modeling, and unidirectional data flow.
  • Performance Optimization: Provides deep-dive diagnostics for recomposition, stability, and compiler metrics.
  • Cross-Platform Support: Offers specialized guidance for KMP/CMP, including expect/actual patterns, iOS interop, and shared resource management.

Quick Start

Invoke the compose-skill to refactor the current screen to MVI with proper state modeling.

Frequently Asked Questions about compose-skill

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

FAQPage Schema
How do I refactor a Jetpack Compose screen to use MVI architecture?

To refactor a Jetpack Compose screen to MVI, you must enforce unidirectional data flow by modeling state explicitly and routing all modifications through intent processing, ensuring the UI reflects a single source of truth.

Can I use Compose Multiplatform to share UI logic between Android and iOS?

Yes, Compose Multiplatform enables cross-platform UI sharing between Android and iOS by utilizing expect/actual patterns for platform-specific API constraints and managing shared resources to maintain architectural consistency across targets.

What is the best way to model state in a Kotlin Multiplatform project using Compose?

The best way to model state in a Kotlin Multiplatform project is enforcing MVI patterns with unidirectional data flow, ensuring state remains immutable and shared logic respects platform-specific API constraints for optimal cross-platform performance.

Does Jetpack Compose work well with complex MVI state modeling?

Jetpack Compose works exceptionally well with complex MVI state modeling because its reactive nature naturally aligns with unidirectional data flow, allowing state to drive UI rendering directly without manual synchronization.

What are the limitations of using Compose Multiplatform for iOS interop?

Limitations of Compose Multiplatform for iOS interop include navigating platform-specific API constraints and managing expect/actual declarations carefully, as shared UI logic must still accommodate iOS-specific architectural requirements and performance quirks.