Android Edge To Edge

Community

HoangNguyen0403

android-edge-to-edge

Migrate a Jetpack Compose app to edge-to-edge display and fix system bar inset issues. Use when UI components are obscured by navigation/status bars, fixing IME insets, or enabling edge-to-edge for SDK 35+.

Overview

Publisher	HoangNguyen0403
Repository	`agent-skills-standard`
Skill name	`android-edge-to-edge`
Stars	569
Forks	164
Bundled files	2
License	MIT
Links	Skill source Repository Homepage

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by HoangNguyen0403 on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/HoangNguyen0403/agent-skills-standard/tree/develop/skills/android/android-edge-to-edge

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/HoangNguyen0403/agent-skills-standard.git /tmp/agent-skills-standard
mkdir -p .claude/skills
cp -r /tmp/agent-skills-standard/skills/android/android-edge-to-edge .claude/skills/android-edge-to-edge

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Android Edge To Edge 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 Edge To Edge 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 Edge To Edge 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.

Edge-to-Edge Migration

Priority: P1 (HIGH)

Structured workflow for migrating a Compose app to edge-to-edge display.

Prerequisites

Project MUST use Jetpack Compose.
Project MUST target SDK 35+. If lower, increase compileSdk to 35.

Step 1: Plan

Locate all Activity classes. For each without enableEdgeToEdge(), plan to add it.
In each Activity, find all lists, FABs, and text fields that need inset handling.
If TextField/OutlinedTextField is present, plan IME inset handling.

Step 2: Enable edge-to-edge

Add enableEdgeToEdge() before setContent in every Activity.onCreate.
Add android:windowSoftInputMode="adjustResize" in AndroidManifest for Activities with soft keyboard.

Step 3: Apply insets

Choose ONE method per component to avoid double padding:

PREFERRED — Scaffold: Pass PaddingValues to content lambda.
Material 3 components: Use built-in inset handling (TopAppBar, NavigationBar, etc.).
Outside Scaffold: Use Modifier.safeDrawingPadding() or windowInsetsPadding.

See inset patterns for RIGHT/WRONG code examples.

Step 4: Handle IME

For Activities with soft keyboard:

Set adjustResize in manifest (NOT deprecated SOFT_INPUT_ADJUST_RESIZE).
Add imePadding() or fitInside(WindowInsetsRulers.Ime.current) to content container.
Place imePadding BEFORE verticalScroll().

See inset patterns for IME-specific RIGHT/WRONG patterns.

Step 5: Lists and FABs

Apply inset padding to contentPadding of LazyColumn/LazyRow, NOT as Modifier.padding() on parent.
FABs inside Scaffold are handled automatically. Outside Scaffold, use safeDrawingPadding().

Verification

Every Activity calls enableEdgeToEdge().
adjustResize set in AndroidManifest for keyboard Activities.
Text fields have IME inset handling.
List items scroll behind system bars via contentPadding.
./gradlew build succeeds.

Anti-Patterns

No double inset padding: Never combine contentWindowInsets = WindowInsets.safeDrawing with imePadding() on the same content — causes double padding when IME opens.
No parent padding on lists: Apply insets to contentPadding, not parent Modifier.padding() — parent padding clips scrolling content.
No SOFT_INPUT_ADJUST_RESIZE: Deprecated. Use manifest adjustResize attribute.

References

Inset Patterns (RIGHT/WRONG)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

evals/evals.json3 KB
references/inset-patterns.md4 KB

Frequently asked questions

What does the Android Edge To Edge AI skill do?

Why use Android Edge To Edge on TypingMind?

Because you install it once and use it with any model. Android Edge To Edge 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 Edge To Edge in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HoangNguyen0403/agent-skills-standard/tree/develop/skills/android/android-edge-to-edge. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Android Edge To Edge?

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 Edge To Edge?

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

Is the Android Edge To Edge AI skill free?

Yes. It is published on GitHub by HoangNguyen0403 under the MIT 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.

View all

Receiving Code Review

obra

CommunityPopular

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative…

Requesting Code Review

obra

CommunityPopular

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Systematic Debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Test Driven Development

obra

CommunityPopular

Use when implementing any feature or bugfix, before writing implementation code

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Edge-to-Edge Migration

Priority: P1 (HIGH)

Prerequisites

Step 1: Plan

Step 2: Enable edge-to-edge

Step 3: Apply insets

Step 4: Handle IME

Step 5: Lists and FABs

Verification

Anti-Patterns

References

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now