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Expo Web To Native

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expo
expo-web-to-native

Framework (OSS). Migrate an existing web React app to a native iOS/Android app with Expo. Use when the user wants to turn a website into a mobile app, port a Next.js/Vite/CRA React codebase to React Native, reuse web code on native incrementally, or asks how web idioms (the DOM, CSS, React Router, localStorage, window) map to native. This is the end-to-end migration guide; use the `expo-dom` skill for the DOM-component mechanism itself.

Overview

Publisherexpo
Repositoryskills
Skill nameexpo-web-to-native
Stars
2.5K
Forks
146
Bundled files
5
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.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Expo Web To Native 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/expo/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/expo/skills/expo-web-to-native .claude/skills/expo-web-to-native
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Expo Web To Native 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 Expo Web To Native 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 Expo Web To Native 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.

Web to Native

A web React app does not convert to native — there is no transpiler. It migrates, screen by screen, the way a strangler fig grows around a tree and slowly replaces it: stand up a native shell, run the whole web UI inside it on day one, then strangle each screen into native in priority order. This skill is the spine that orders the work; each step hands off to an existing Expo skill rather than re-explaining it. It operationalizes Expo's From Web to Native with React — read that for the why.

mermaid
flowchart TD
    A1[1 · Assess: write the worklist] --> A2[2 · Scaffold Expo shell]
    A2 --> A3[3 · DOM-component shell<br/>· expo-dom · SHIP DAY ONE]
    A3 --> A4[4 · Strangle screens to native<br/>highest-value first · expo-router]
    A4 -->|more screens| A4
    A4 --> A5[5 · Wire data / auth / storage<br/>· expo-data-fetching]
    A5 --> A6[6 · Ship · eas-app-stores]

Principles

  • Migrate, don't rewrite. Never big-bang it; every step keeps the app shippable.
  • Ship on day one. The web UI runs in a DOM-component shell (step 3) before anything is nativized — that's the milestone; everything after is polish.
  • Strangle by value. Nativize the hot screens; leave the rest in the webview. Each DOM screen carries a ~2 MB web runtime — reason enough not to ship everything as DOM.
  • Nativize means redesign, not reskin. A strangled screen should look like Apple/Google shipped it, not the web page reskinned. Reach for @expo/ui first - it renders real SwiftUI/Compose, so it feels exactly like the OS; styled RN primitives are the fallback for custom layouts only. Plus platform navigation (expo-router: NativeTabs, large titles), liquid glass and native components via @expo/ui, and mobile UX (sheets, swipe, haptics). The web→native pattern map is ./references/native-patterns.md. If it still feels like a website, you ported instead of redesigned.
  • Verify by running, not compiling. A clean build proves nothing (a blank webview compiles fine). Run each screen — but judge content and behavior against the web original, not pixels (a nativized screen should look more native, not identical).
  • Orchestrate, don't reinvent. Each step routes into an existing skill. The value here is the order and the gotchas — the idiom-by-idiom mappings live in ./references/false-friends.md.

Run it as a loop (recommended)

The migration is a long repeat-until-done loop, so the first move is to write the goal objective and launch it — not to grind screens by hand. Fill the objective in ./references/run-as-goal.md for this app and present it; it re-reads this skill every iteration, so each /goal turn reloads the playbook + worklist and drives the next screen (it even self-bootstraps the assess step). Then run /goal with it — or, if the harness can't loop, write it to migration-goal.md and have the user launch it. The steps below are what each iteration does; run them by hand only if you're not looping.

The migration

No repo to migrate - just building native fresh as a web dev? You don't need these steps: use expo-router, and keep ./references/false-friends.md open for the web→native idiom map. Everything below assumes an existing web app.

1. Assess → write the worklist

Read the repo and produce migration-progress.md, the durable worklist the rest of the migration checks off. Make two cuts:

  • Screens vs backend. Page routes (page.tsx) are screens you migrate; server routes (route.ts), the ORM, and auth handlers stay server-side. Decide the backend once: keep it deployed (the native app becomes an HTTP client) or move it to EAS Hosting (eas-hosting).
  • Bucket each screen by how it should land: port-as-is (presentational → ships in a DOM webview), nativize-now (hot, or needs native feel — gestures, lists, keyboard), nativize-later, or hybrid (a native shell around a web sub-tree, e.g. a chat list wrapping a markdown renderer).

Note the framework signals as you read — RSC vs client, Tailwind/shadcn, where data is fetched — since they decide how each screen ports (false-friends has the mappings; async Server Components in particular must be split into a client fetch + a presentational component before they can move). Flag third-party services/SDKs too — browser SDKs don't carry over (false-friendsServices & SDKs); payments especially is a fork, not a swap (in-app digital goods must use store IAP via RevenueCat, ~30% — not Stripe), a business-model call to make now, not at App Store review. The worklist is only trustworthy once every route is sorted and every screen bucketed.

2. Scaffold the shell

create-expo-app, then mirror the web routes in Expo Router — Next's tree maps almost 1:1 (note [id]/page.tsx[id].tsx, and routes may live in src/app/). Empty screens, one per route.

3. Shell it in DOM components — the day-one milestone

Bring every screen over as a DOM component ('use dom', per the expo-dom skill) rendered by its native route, so the whole app runs on a phone before anything is nativized. Expect per-screen edits - unwrapping Server Components, swapping framework imports (next/link), carrying the styling over - all covered in false-friends. Then verify by running (below); this is shippable to TestFlight as-is.

4. Strangle screens to native — by value

Walk migration-progress.md top-down. For each screen, redesign it native - don't port the web layout. Reach for @expo/ui first (real SwiftUI/Compose - buttons, lists, sheets, pickers, sliders; ./references/native-patterns.md maps which web pattern becomes which native component), then platform navigation (expo-router - NativeTabs, large titles) and mobile UX (swipe, haptics, momentum/inverted scroll); RN primitives only for custom layouts. Consult ./references/false-friends.md for each idiom. @expo/ui and DOM components both run in Expo Go (SDK 56+) - a dev build (the expo-dev-client skill) is only needed for custom native modules. Verify content and behavior against the running web original (the look should become more native), then check it off. One screen per pass, app shippable throughout. It's a loop over a durable worklist, so it can run unattended - hand it to a goal loop (./references/run-as-goal.md).

5. Wire data, auth, and storage

The web data layer doesn't survive the move - relative fetches, cookie sessions, localStorage, and env vars all change (swaps in false-friends). Use expo-data-fetching for requests and caching; add eas-hosting if the backend moved to EAS Hosting.

6. Ship

eas-app-stores for the store builds (App Store / Play / TestFlight), EAS Update for OTA pushes after.

Verify by running, not compiling

A green expo export proves a screen bundles, not that it renders — a screen can build and still render blank or mis-render. So after the shell and after every nativized screen, compare the two running apps for the same route:

  • Web original — capture it with agent-browser (vercel-labs CLI): open the route, snapshot --json the accessibility tree, screenshot.
  • Native — drive the simulator with argent: describe / debugger-component-tree for structure, flow to replay the check each pass.

Pass on parity of content and behavior — not pixels: a nativized screen should look more native than the web, never identical (the DOM-shell stage is the exception — there it is the web UI, so it should match). Feel is part of native and can't be screenshotted — for screens with transitions or gestures, capture a short recording, not just a still (see native-patterns.md → Feel). This loop is opinionated about its tooling: if agent-browser or argent isn't installed, ask the user and install it before proceeding — don't fall back to manual screenshots. Full recipe and setup in ./references/verify-on-device.md.

References

Submitting Feedback

If you encounter errors, misleading or outdated information in this skill, report it so Expo can improve:

bash
npx --yes submit-expo-feedback@latest --category skills --subject "expo-web-to-native" "<actionable feedback>"

Only submit when you have something specific and actionable to report. Include as much relevant context as possible. If an AI agent repeatedly failed or the user had to take over an Expo task, load the expo-skill-feedback skill and follow its eval-candidate flow instead of reusing the command above.

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 Expo Web To Native AI skill do?

Framework (OSS). Migrate an existing web React app to a native iOS/Android app with Expo. Use when the user wants to turn a website into a mobile app, port a Next.js/Vite/CRA React codebase to React Native, reuse web code on native incrementally, or asks how web idioms (the DOM, CSS, React Router, localStorage, window) map to native. This is the end-to-end migration guide; use the `expo-dom` skill for the DOM-component mechanism itself.

Why use Expo Web To Native on TypingMind?

Because you install it once and use it with any model. Expo Web To Native 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 Expo Web To Native in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/expo/skills/tree/main/plugins/expo/skills/expo-web-to-native. 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 Expo Web To Native?

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 Expo Web To Native?

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

Is the Expo Web To Native AI skill free?

Yes. It is published on GitHub by expo 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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