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Expo Api Routes

Community
coco-research
expo-api-routes

Use when adding server-side API routes to an Expo Router app (+api.ts files) for secrets, database access, third-party proxies, webhooks, CORS, or EAS Hosting deploys. Covers file routing, env vars, and Cloudflare Workers limits.

Overview

Publishercoco-research
Repositorycoco
Skill nameexpo-api-routes
Stars
550
Forks
12
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

    Published by coco-research on GitHub. Read the source before you install it.

Installation

Install the Expo Api Routes 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.
    https://github.com/coco-research/coco/tree/main/skills/expo-api-routes
  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/coco-research/coco.git /tmp/coco
mkdir -p .claude/skills
cp -r /tmp/coco/skills/expo-api-routes .claude/skills/expo-api-routes
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Expo Api Routes 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 Api Routes 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 Api Routes 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.

When to Use API Routes

Use API routes when you need:

  • Server-side secrets — API keys, database credentials, or tokens that must never reach the client
  • Database operations — Direct database queries that shouldn't be exposed
  • Third-party API proxies — Hide API keys when calling external services (OpenAI, Stripe, etc.)
  • Server-side validation — Validate data before database writes
  • Webhook endpoints — Receive callbacks from services like Stripe or GitHub
  • Rate limiting — Control access at the server level
  • Heavy computation — Offload processing that would be slow on mobile

When NOT to Use API Routes

Avoid API routes when:

  • Data is already public — Use direct fetch to public APIs instead
  • No secrets required — Static data or client-safe operations
  • Real-time updates needed — Use WebSockets or services like Supabase Realtime
  • Simple CRUD — Consider Firebase, Supabase, or Convex for managed backends
  • File uploads — Use direct-to-storage uploads (S3 presigned URLs, Cloudflare R2)
  • Authentication only — Use Clerk, Auth0, or Firebase Auth instead

File Structure

API routes live in the app directory with +api.ts suffix:

app/
  api/
    hello+api.ts          → GET /api/hello
    users+api.ts          → /api/users
    users/[id]+api.ts     → /api/users/:id
  (tabs)/
    index.tsx

Basic API Route

ts
// app/api/hello+api.ts
export function GET(request: Request) {
  return Response.json({ message: "Hello from Expo!" });
}

HTTP Methods

Export named functions for each HTTP method:

ts
// app/api/items+api.ts
export function GET(request: Request) {
  return Response.json({ items: [] });
}

export async function POST(request: Request) {
  const body = await request.json();
  return Response.json({ created: body }, { status: 201 });
}

export async function PUT(request: Request) {
  const body = await request.json();
  return Response.json({ updated: body });
}

export async function DELETE(request: Request) {
  return new Response(null, { status: 204 });
}

Dynamic Routes

ts
// app/api/users/[id]+api.ts
export function GET(request: Request, { id }: { id: string }) {
  return Response.json({ userId: id });
}

Request Handling

Query Parameters

ts
export function GET(request: Request) {
  const url = new URL(request.url);
  const page = url.searchParams.get("page") ?? "1";
  const limit = url.searchParams.get("limit") ?? "10";

  return Response.json({ page, limit });
}

Headers

ts
export function GET(request: Request) {
  const auth = request.headers.get("Authorization");

  if (!auth) {
    return Response.json({ error: "Unauthorized" }, { status: 401 });
  }

  return Response.json({ authenticated: true });
}

JSON Body

ts
export async function POST(request: Request) {
  const { email, password } = await request.json();

  if (!email || !password) {
    return Response.json({ error: "Missing fields" }, { status: 400 });
  }

  return Response.json({ success: true });
}

Environment Variables

Use process.env for server-side secrets:

ts
// app/api/ai+api.ts
export async function POST(request: Request) {
  const { prompt } = await request.json();

  const response = await fetch("https://api.openai.com/v1/chat/completions", {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      Authorization: `Bearer ${process.env.OPENAI_API_KEY}`,
    },
    body: JSON.stringify({
      model: "gpt-4",
      messages: [{ role: "user", content: prompt }],
    }),
  });

  const data = await response.json();
  return Response.json(data);
}

Set environment variables:

  • Local: Create .env file (never commit)
  • EAS Hosting: Use eas env:create or Expo dashboard

CORS Headers

Add CORS for web clients:

ts
const corsHeaders = {
  "Access-Control-Allow-Origin": "*",
  "Access-Control-Allow-Methods": "GET, POST, PUT, DELETE, OPTIONS",
  "Access-Control-Allow-Headers": "Content-Type, Authorization",
};

export function OPTIONS() {
  return new Response(null, { headers: corsHeaders });
}

export function GET() {
  return Response.json({ data: "value" }, { headers: corsHeaders });
}

Error Handling

ts
export async function POST(request: Request) {
  try {
    const body = await request.json();
    // Process...
    return Response.json({ success: true });
  } catch (error) {
    console.error("API error:", error);
    return Response.json({ error: "Internal server error" }, { status: 500 });
  }
}

Testing Locally

Start the development server with API routes:

bash
npx expo serve

This starts a local server at http://localhost:8081 with full API route support.

Test with curl:

bash
curl http://localhost:8081/api/hello
curl -X POST http://localhost:8081/api/users -H "Content-Type: application/json" -d '{"name":"Test"}'

Deployment to EAS Hosting

Prerequisites

bash
npm install -g eas-cli
eas login

Deploy

bash
eas deploy

This builds and deploys your API routes to EAS Hosting (Cloudflare Workers).

Environment Variables for Production

bash
# Create a secret
eas env:create --name OPENAI_API_KEY --value sk-xxx --environment production

# Or use the Expo dashboard

Custom Domain

Configure in eas.json or Expo dashboard.

EAS Hosting Runtime (Cloudflare Workers)

API routes run on Cloudflare Workers. Key limitations:

Missing/Limited APIs

  • No Node.js filesystem — fs module unavailable
  • No native Node modules — Use Web APIs or polyfills
  • Limited execution time — 30 second timeout for CPU-intensive tasks
  • No persistent connections — WebSockets require Durable Objects
  • fetch is available — Use standard fetch for HTTP requests

Use Web APIs Instead

ts
// Use Web Crypto instead of Node crypto
const hash = await crypto.subtle.digest(
  "SHA-256",
  new TextEncoder().encode("data")
);

// Use fetch instead of node-fetch
const response = await fetch("https://api.example.com");

// Use Response/Request (already available)
return new Response(JSON.stringify(data), {
  headers: { "Content-Type": "application/json" },
});

Database Options

Since filesystem is unavailable, use cloud databases:

  • Cloudflare D1 — SQLite at the edge
  • Turso — Distributed SQLite
  • PlanetScale — Serverless MySQL
  • Supabase — Postgres with REST API
  • Neon — Serverless Postgres

Example with Turso:

ts
// app/api/users+api.ts
import { createClient } from "@libsql/client/web";

const db = createClient({
  url: process.env.TURSO_URL!,
  authToken: process.env.TURSO_AUTH_TOKEN!,
});

export async function GET() {
  const result = await db.execute("SELECT * FROM users");
  return Response.json(result.rows);
}

Calling API Routes from Client

ts
// From React Native components
const response = await fetch("/api/hello");
const data = await response.json();

// With body
const response = await fetch("/api/users", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({ name: "John" }),
});

Common Patterns

Authentication Middleware

ts
// utils/auth.ts
export async function requireAuth(request: Request) {
  const token = request.headers.get("Authorization")?.replace("Bearer ", "");

  if (!token) {
    throw new Response(JSON.stringify({ error: "Unauthorized" }), {
      status: 401,
      headers: { "Content-Type": "application/json" },
    });
  }

  // Verify token...
  return { userId: "123" };
}

// app/api/protected+api.ts
import { requireAuth } from "../../utils/auth";

export async function GET(request: Request) {
  const { userId } = await requireAuth(request);
  return Response.json({ userId });
}

Proxy External API

ts
// app/api/weather+api.ts
export async function GET(request: Request) {
  const url = new URL(request.url);
  const city = url.searchParams.get("city");

  const response = await fetch(
    `https://api.weather.com/v1/current?city=${city}&key=${process.env.WEATHER_API_KEY}`
  );

  return Response.json(await response.json());
}

Rules

  • NEVER expose API keys or secrets in client code
  • ALWAYS validate and sanitize user input
  • Use proper HTTP status codes (200, 201, 400, 401, 404, 500)
  • Handle errors gracefully with try/catch
  • Keep API routes focused — one responsibility per endpoint
  • Use TypeScript for type safety
  • Log errors server-side for debugging

Frequently asked questions

What does the Expo Api Routes AI skill do?

Use when adding server-side API routes to an Expo Router app (+api.ts files) for secrets, database access, third-party proxies, webhooks, CORS, or EAS Hosting deploys. Covers file routing, env vars, and Cloudflare Workers limits.

Why use Expo Api Routes on TypingMind?

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

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

Which AI models can use Expo Api Routes?

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 Api Routes?

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

Is the Expo Api Routes AI skill free?

Yes. It is published on GitHub by coco-research 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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