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Expo Examples

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expo-examples

Framework (OSS). Expo's official example projects - the expo/examples repo of ~70 `with-*` integrations (Stripe, Clerk, Supabase, OpenAI, maps, Reanimated, SQLite, Skia, NativeWind, and more). Use when integrating a third-party library or service into an existing Expo app and you want the canonical, version-matched pattern to adapt, or when scaffolding a new project from one with `npx create-expo --example`.

Overview

Publisherexpo
Repositoryskills
Skill nameexpo-examples
Stars
2.5K
Forks
146
Bundled files
2
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.

  • 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 expo on GitHub. Read the source before you install it.

Installation

Install the Expo Examples 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-examples .claude/skills/expo-examples
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Expo Examples 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 Examples 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 Examples 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.

Expo Examples

expo/examples is Expo's official library of ~70 integration examples — directories named with-<library> (e.g. with-stripe, with-maps), each built around one library or service. These are not full apps: they're managed projects (no ios//android/ dirs — native setup is via config plugins), and the typical one is a single screen of ~100–200 lines. Mine them for the canonical integration pattern — the dependency set, app.json config plugins, and minimal wiring Expo maintains against the current SDK — and adapt that into the user's app. Don't expect to lift an application architecture from them.

Reach for an example before hand-rolling an integration. (Kinds — full-stack, showcases, starters — are noted in ./references/catalog.md.)

Two modes

  1. Inspiration / adapt (most common) — the user already has a project. Find the matching example, read its key files, and apply the pattern to their code.
  2. Scaffold — greenfield. Start a fresh project directly from the example.

Workflow

1. Find the right example

Map the user's need to an example name (e.g. payments → with-stripe, auth → with-clerk). ./references/catalog.md is a categorized snapshot for fast triage — but it drifts, so confirm against the live list:

bash
# Live example names:
gh api repos/expo/examples/contents --jq '.[] | select(.type=="dir" and (.name|startswith(".")|not)) | .name'
# Aliases (renamed) + deprecated (dead/moved) examples — check before recommending:
gh api repos/expo/examples/contents/meta.json --jq '.content' | base64 -d

meta.json is the source of truth for what's renamed or dead (deprecated examples are removed from the repo tree but still listed here, each with a message). If an example is in its deprecated map, don't recommend it — follow the message to the modern path. If it's in aliases, use the destination.

2a. Inspiration mode — study without touching the user's project

The common case: the user already has an app and wants to see how Expo does something. Read the example as reference and apply the patterns by hand — never scaffold an example on top of their project.

First, list the whole example in one call. Integration code is often nested (e.g. Stripe's server routes live in app/api/), so a one-level listing misses the important files:

bash
gh api 'repos/expo/examples/git/trees/master?recursive=1' \
  --jq '.tree[].path | select(startswith("with-stripe/"))'

Then read the high-signal files first: README.md (setup) → package.json (deps) → app.json (config plugins / permissions) → the integration code the manifest revealed → .env (required secrets). Per file:

bash
gh api repos/expo/examples/contents/with-stripe/utils/stripe-server.ts --jq '.content' | base64 -d
# No gh? Raw URL (branch is master):
curl -s https://raw.githubusercontent.com/expo/examples/master/with-stripe/utils/stripe-server.ts

Reading more than a couple of files? Many integrations are spread across server routes, a client provider, and config (Stripe is). Skip the per-file calls — pull the whole example into a throwaway/gitignored dir (not the user's project) and read it freely with Grep/Read, then apply by hand:

bash
npx degit expo/examples/with-stripe /tmp/expo-ref/with-stripe   # clean copy, no git history
# fallback without degit (sparse-checkout, no full ~64 MB clone):
git clone --depth 1 --filter=blob:none --sparse https://github.com/expo/examples.git /tmp/expo-ref/examples \
  && (cd /tmp/expo-ref/examples && git sparse-checkout set with-stripe)

Read from there with Grep/Read; delete the scratch dir when done.

2b. Scaffold mode — new project from an example

bash
npx create-expo --example with-stripe   # short form:  npx create-expo -e with-stripe
bun create expo --example with-stripe    # with bun

3. Adapt into the user's app — non-destructively (critical)

When the user already has an app, add only what the example introduces; never overwrite their setup.

  • Version-align — don't copy pinned versions. Examples track the latest SDK, so their package.json pins won't match an older project. Add only the missing deps with npx expo install <pkg> (it resolves SDK-correct versions) instead of copying exact versions.
  • Merge config, don't replace it. Add only the app.json/app.config.* plugins and permissions the example introduces that the user lacks — keep their existing config block intact.
  • Port the integration code.
  • Recreate env vars from the example's .env shape — it holds placeholders, never working secrets.

Done when the integration code is ported and every dependency, config plugin, permission, and env var it needs is accounted for in the user's app — not when it merely looks wired up.

Gotchas

  • Default branch is master, not main (matters for raw URLs and sparse checkout).
  • Single-click deploy. Every example has a launch URL: https://launch.expo.dev/?github=https://github.com/expo/examples/tree/master/<example>.

Related skills

  • Native UI components (@expo/ui package) → expo-ui
  • Styling and native-feeling screens → expo-native-ui
  • Navigation and routing → expo-router
  • Authoring a native module → expo-module
  • Upgrade the SDK before adopting a latest-SDK example → expo-upgrade

References

  • ./references/catalog.md — categorized snapshot of the example library for fast triage.

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-examples" "<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 Examples AI skill do?

Framework (OSS). Expo's official example projects - the expo/examples repo of ~70 `with-*` integrations (Stripe, Clerk, Supabase, OpenAI, maps, Reanimated, SQLite, Skia, NativeWind, and more). Use when integrating a third-party library or service into an existing Expo app and you want the canonical, version-matched pattern to adapt, or when scaffolding a new project from one with `npx create-expo --example`.

Why use Expo Examples on TypingMind?

Because you install it once and use it with any model. Expo Examples 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 Examples in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/expo/skills/tree/main/plugins/expo/skills/expo-examples. 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 Examples?

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 Examples?

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

Is the Expo Examples 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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