Android Development logo

Android Development

Organization
Mindrally
android-development

Android development guidelines for Kotlin with clean architecture, MVI pattern, Material Design, and best practices for building robust mobile applications

Overview

PublisherMindrally
Repositoryskills
Skill nameandroid-development
Stars
259
Forks
41
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Mindrally on GitHub. Read the source before you install it.

Installation

Install the Android Development AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Mindrally/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/android-development .claude/skills/android-development
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Android Development in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Android Development on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Android Development is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Android Development Best Practices

General Kotlin Guidelines

Basic Principles

  • Use English for all code and documentation
  • Always declare variable and function types explicitly
  • Avoid the any type; create necessary custom types
  • Eliminate blank lines within function bodies

Naming Standards

  • PascalCase: Classes, interfaces, enums
  • camelCase: Variables, functions, methods
  • underscores_case: Files and directories
  • UPPERCASE: Environment variables, constants
  • Avoid magic numbers; define constants instead
  • Functions should start with action verbs
  • Boolean variables use prefixes: isLoading, hasError, canDelete

Function Design

  • Keep functions under 20 instructions with single responsibility
  • Use verb-based naming
  • Prefix boolean returns with is, has, or can
  • Prefix void returns with execute, save, send
  • Combat nesting through early returns, utility extraction, and higher-order functions
  • Use default parameters instead of null checks
  • Consolidate parameters into objects (RO-RO pattern)

Data and Classes

  • Employ data classes for data structures
  • Encapsulate primitives in composite types; validate internally
  • Favor immutability; use val for unchanging values
  • Follow SOLID principles; prefer composition over inheritance
  • Keep classes under 200 instructions, 10 public methods, 10 properties

Exception Handling

  • Reserve exceptions for unexpected errors
  • Catch exceptions only to fix anticipated issues or add context
  • Create custom exception types for domain errors

Android Architecture

Clean Architecture

  • Implement clean architecture with clear layer separation
  • Use repository pattern for data persistence and caching
  • Keep business logic in Use Cases or Interactors
  • Separate concerns between UI, domain, and data layers

Project Structure

app/
├── data/           # Data sources, repositories, models
├── domain/         # Use cases, domain models, interfaces
├── presentation/   # UI components, ViewModels, state
└── di/             # Dependency injection modules

MVI Pattern

  • Deploy MVI pattern for state and event management
  • ViewModels manage UI state as a single immutable state object
  • UI components observe state and render accordingly
  • Handle user intents/events through a single entry point
  • Keep side effects predictable and traceable

UI Development

Navigation

  • Use Navigation Component for fragment and activity routing
  • Define navigation graph for app flow
  • Handle deep links through Navigation Component
  • Implement safe args for type-safe navigation arguments

Main Activity Structure

  • MainActivity manages primary navigation
  • Use BottomNavigationView for main destinations (Home, Profile, Settings, etc.)
  • Handle navigation state properly across configuration changes

View Binding and State

  • Use ViewBinding for type-safe view access
  • Use Flow or LiveData for UI state management
  • Observe state changes in lifecycle-aware manner
  • Handle loading, error, and success states consistently

UI Framework Preferences

  • Prefer XML layouts and Fragments over Jetpack Compose (unless Compose is specifically required)
  • Use ConstraintLayout for complex layouts
  • Apply Material 3 design guidelines
  • Follow responsive design practices for different screen sizes

Authentication Flow

Structure authentication screens properly:

  1. Splash Screen - Initial app launch
  2. Login Screen - User authentication
  3. Register Screen - New user registration
  4. Forgot Password Screen - Password recovery
  5. Verify Email Screen - Email verification

Testing

Unit Testing

  • Follow Arrange-Act-Assert conventions
  • Test ViewModels, Use Cases, and Repositories
  • Use test doubles for dependencies
  • Achieve good coverage of business logic

UI Testing

  • Implement widget testing for UI components
  • Write integration tests for API modules
  • Test navigation flows
  • Use Espresso for instrumented tests

Best Practices

Lifecycle Management

  • Handle lifecycle events properly
  • Avoid memory leaks from improper lifecycle handling
  • Use lifecycle-aware components

Background Processing

  • Use Coroutines for async operations
  • Handle cancellation properly
  • Use WorkManager for deferrable background work

Dependency Injection

  • Use Hilt or Dagger for dependency injection
  • Scope dependencies appropriately
  • Keep DI configuration organized

Performance

  • Avoid work on the main thread
  • Optimize RecyclerView with DiffUtil
  • Use lazy loading for heavy resources
  • Profile and optimize memory usage

Frequently asked questions

What does the Android Development AI skill do?

Android development guidelines for Kotlin with clean architecture, MVI pattern, Material Design, and best practices for building robust mobile applications

Why use Android Development on TypingMind?

Because you install it once and use it with any model. Android Development is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Android Development in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Mindrally/skills/tree/main/android-development. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Android Development?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Android Development?

As many as you like. As long as a model supports skills, you can use Android Development with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Android Development AI skill free?

Yes. It is published on GitHub by Mindrally under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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