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Android Compose Migration

Community
HoangNguyen0403
android-compose-migration

Migrate an Android XML View to Jetpack Compose following a structured 10-step workflow. Use when converting XML layouts to Compose, setting up Compose in an existing View-based project, or incrementally adopting Compose.

Overview

PublisherHoangNguyen0403
Repositoryagent-skills-standard
Skill nameandroid-compose-migration
Stars
569
Forks
164
Bundled files
3
LicenseMIT
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.

  • 3 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 Compose Migration 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/HoangNguyen0403/agent-skills-standard.git /tmp/agent-skills-standard
mkdir -p .claude/skills
cp -r /tmp/agent-skills-standard/skills/android/android-compose-migration .claude/skills/android-compose-migration
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Android Compose Migration 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 Compose Migration 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 Compose Migration 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.

XML to Jetpack Compose Migration

Priority: P1 (HIGH)

Structured 10-step workflow for migrating XML layouts to Compose.

Step 1: Identify the migration candidate

If the user specified a target XML layout, proceed to Step 2. Otherwise, pick the best candidate:

  • Prefer leaf layouts (not deeply nested in other XMLs).
  • Prefer layouts with few custom Views.
  • Avoid layouts with complex RecyclerView adapters as a first migration.

Step 2: Analyze the layout

Examine the XML structure: list all Views, data bindings, click listeners, style references, and custom Views needing AndroidView wrappers.

Step 3: Create a plan

Generate a checklist of every View → Composable mapping. Present to user for approval.

Step 4: Capture baseline UI

Ask the user for a screenshot, or take one via emulator for visual comparison.

Step 5: Set up Compose dependencies

Check build.gradle.kts or libs.versions.toml for Compose BOM and compiler. If missing, add them. See dependency setup.

Step 6: Set up Compose theming

If missing, initialize minimum required theme — map XML colors/styles to Compose. Do NOT migrate the entire theme.

Step 7: Migrate the XML layout

Convert each View to its Compose equivalent. See interop patterns for the View→Composable mapping table, ComposeView, and AndroidView usage. Include a @Preview for every new Composable. Use LazyColumn or LazyRow for list-heavy screens instead of flattening them into one large static composable.

Step 8: Replace usages

Use ComposeView to host Compose in Views, or AndroidView for Views in Compose. See interop patterns.

Step 9: Validate

Compare baseline screenshot with Compose Preview. Focus on layout and styling. Iterate until visual parity.

Step 10: Clean up

Delete the migrated XML file and legacy tests. Only remove code not referenced elsewhere.

Verification

  • Compose Preview renders correctly.
  • Visual parity with original XML layout.
  • ./gradlew build succeeds.
  • No broken references to deleted XML files.

Anti-Patterns

  • No full theme migration: Only migrate what the target layout needs.
  • No new View instances in AndroidView update: Mutate existing, don't recreate.
  • No missing ViewCompositionStrategy: Always set it on ComposeView to avoid leaks.

References

Bundled files

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

Frequently asked questions

What does the Android Compose Migration AI skill do?

Migrate an Android XML View to Jetpack Compose following a structured 10-step workflow. Use when converting XML layouts to Compose, setting up Compose in an existing View-based project, or incrementally adopting Compose.

Why use Android Compose Migration on TypingMind?

Because you install it once and use it with any model. Android Compose Migration 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 Compose Migration in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HoangNguyen0403/agent-skills-standard/tree/develop/skills/android/android-compose-migration. 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 Compose Migration?

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 Compose Migration?

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

Is the Android Compose Migration 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.

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