home / skills / secondsky / claude-skills / cloudflare-workers-runtime-apis
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This skill helps you master Cloudflare Workers runtime APIs for fetch, streams, crypto, cache, websockets, and encoding to build robust edge apps.
npx playbooks add skill secondsky/claude-skills --skill cloudflare-workers-runtime-apisReview the files below or copy the command above to add this skill to your agents.
---
name: workers-runtime-apis
description: Cloudflare Workers Runtime APIs including Fetch, Streams, Crypto, Cache, WebSockets, and Encoding. Use for HTTP requests, streaming, encryption, caching, real-time connections, or encountering API compatibility, response handling, stream processing errors.
---
# Cloudflare Workers Runtime APIs
Master the Workers runtime APIs: Fetch, Streams, Crypto, Cache, WebSockets, and text encoding.
## Quick Reference
| API | Purpose | Common Use |
|-----|---------|------------|
| **Fetch** | HTTP requests | External APIs, proxying |
| **Streams** | Data streaming | Large files, real-time |
| **Crypto** | Cryptography | Hashing, signing, encryption |
| **Cache** | Response caching | Performance optimization |
| **WebSockets** | Real-time connections | Chat, live updates |
| **Encoding** | Text encoding | UTF-8, Base64 |
## Quick Start: Fetch API
```typescript
export default {
async fetch(request: Request, env: Env): Promise<Response> {
// Basic fetch
const response = await fetch('https://api.example.com/data');
// With options
const postResponse = await fetch('https://api.example.com/users', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${env.API_KEY}`,
},
body: JSON.stringify({ name: 'John' }),
});
// Clone for multiple reads
const clone = response.clone();
const json = await response.json();
const text = await clone.text();
return Response.json(json);
}
};
```
## Critical Rules
1. **Always set timeouts for external requests** - Workers have a 30s limit, external APIs can hang
2. **Clone responses before reading body** - Body can only be read once
3. **Use streaming for large payloads** - Don't buffer entire response in memory
4. **Cache external API responses** - Reduce latency and API costs
5. **Handle Crypto operations in try/catch** - Invalid inputs throw errors
6. **WebSocket hibernation for cost** - Use Durable Objects with hibernation
## Top 10 Errors Prevented
| Error | Symptom | Prevention |
|-------|---------|------------|
| Body already read | `TypeError: Body has already been consumed` | Clone response before reading |
| Fetch timeout | Request hangs, worker times out | Use `AbortController` with timeout |
| Invalid JSON | `SyntaxError: Unexpected token` | Check content-type before parsing |
| Stream locked | `TypeError: ReadableStream is locked` | Don't read stream multiple times |
| Crypto key error | `DOMException: Invalid keyData` | Validate key format and algorithm |
| Cache miss | Returns `undefined` instead of response | Check cache before returning |
| WebSocket close | Connection drops unexpectedly | Handle close event, implement reconnect |
| Encoding error | `TypeError: Invalid code point` | Use TextEncoder/TextDecoder properly |
| CORS blocked | Browser rejects response | Add proper CORS headers |
| Request size | `413 Request Entity Too Large` | Stream large uploads |
## Fetch API Patterns
### With Timeout
```typescript
async function fetchWithTimeout(url: string, timeout: number = 5000): Promise<Response> {
const controller = new AbortController();
const timeoutId = setTimeout(() => controller.abort(), timeout);
try {
const response = await fetch(url, { signal: controller.signal });
return response;
} finally {
clearTimeout(timeoutId);
}
}
```
### With Retry
```typescript
async function fetchWithRetry(
url: string,
options: RequestInit = {},
retries: number = 3
): Promise<Response> {
for (let i = 0; i < retries; i++) {
try {
const response = await fetch(url, options);
if (response.ok) return response;
// Retry on 5xx errors
if (response.status >= 500 && i < retries - 1) {
await new Promise(r => setTimeout(r, Math.pow(2, i) * 1000));
continue;
}
return response;
} catch (error) {
if (i === retries - 1) throw error;
await new Promise(r => setTimeout(r, Math.pow(2, i) * 1000));
}
}
throw new Error('Max retries exceeded');
}
```
## Streams API
### Transform Stream
```typescript
function createUppercaseStream(): TransformStream<string, string> {
return new TransformStream({
transform(chunk, controller) {
controller.enqueue(chunk.toUpperCase());
}
});
}
// Usage
const response = await fetch('https://example.com/text');
const transformed = response.body!
.pipeThrough(new TextDecoderStream())
.pipeThrough(createUppercaseStream())
.pipeThrough(new TextEncoderStream());
return new Response(transformed);
```
### Stream Large Response
```typescript
async function streamLargeFile(url: string): Promise<Response> {
const response = await fetch(url);
// Stream directly without buffering
return new Response(response.body, {
headers: {
'Content-Type': response.headers.get('Content-Type') || 'application/octet-stream',
},
});
}
```
## Crypto API
### Hashing
```typescript
async function sha256(data: string): Promise<string> {
const encoder = new TextEncoder();
const dataBuffer = encoder.encode(data);
const hashBuffer = await crypto.subtle.digest('SHA-256', dataBuffer);
const hashArray = Array.from(new Uint8Array(hashBuffer));
return hashArray.map(b => b.toString(16).padStart(2, '0')).join('');
}
```
### HMAC Signing
```typescript
async function signHMAC(key: string, data: string): Promise<string> {
const encoder = new TextEncoder();
const keyData = encoder.encode(key);
const dataBuffer = encoder.encode(data);
const cryptoKey = await crypto.subtle.importKey(
'raw',
keyData,
{ name: 'HMAC', hash: 'SHA-256' },
false,
['sign']
);
const signature = await crypto.subtle.sign('HMAC', cryptoKey, dataBuffer);
return btoa(String.fromCharCode(...new Uint8Array(signature)));
}
```
## Cache API
```typescript
export default {
async fetch(request: Request, env: Env, ctx: ExecutionContext): Promise<Response> {
const cache = caches.default;
const cacheKey = new Request(request.url, { method: 'GET' });
// Check cache
let response = await cache.match(cacheKey);
if (response) {
return response;
}
// Fetch and cache
response = await fetch(request);
response = new Response(response.body, response);
response.headers.set('Cache-Control', 'public, max-age=3600');
// Store in cache (don't await)
ctx.waitUntil(cache.put(cacheKey, response.clone()));
return response;
}
};
```
## WebSockets (Durable Objects)
```typescript
// Durable Object with WebSocket hibernation
export class WebSocketRoom {
state: DurableObjectState;
constructor(state: DurableObjectState) {
this.state = state;
}
async fetch(request: Request): Promise<Response> {
const upgradeHeader = request.headers.get('Upgrade');
if (upgradeHeader !== 'websocket') {
return new Response('Expected websocket', { status: 426 });
}
const pair = new WebSocketPair();
const [client, server] = Object.values(pair);
// Accept with hibernation
this.state.acceptWebSocket(server);
return new Response(null, { status: 101, webSocket: client });
}
async webSocketMessage(ws: WebSocket, message: string | ArrayBuffer) {
// Handle incoming message
const data = typeof message === 'string' ? message : new TextDecoder().decode(message);
// Broadcast to all connected clients
for (const client of this.state.getWebSockets()) {
client.send(data);
}
}
async webSocketClose(ws: WebSocket, code: number, reason: string) {
ws.close(code, reason);
}
}
```
## When to Load References
Load specific references based on the task:
- **Making HTTP requests?** → Load `references/fetch-api.md` for timeout, retry, proxy patterns
- **Processing large data?** → Load `references/streams-api.md` for TransformStream, chunking
- **Encryption/signing?** → Load `references/crypto-api.md` for AES, RSA, JWT verification
- **Caching responses?** → Load `references/cache-api.md` for Cache API patterns, TTL strategies
- **Real-time features?** → Load `references/websockets.md` for WebSocket patterns, Durable Objects
- **Text encoding?** → Load `references/encoding-api.md` for TextEncoder, Base64, Unicode
## Templates
| Template | Purpose | Use When |
|----------|---------|----------|
| `templates/fetch-patterns.ts` | HTTP request utilities | Building API clients |
| `templates/stream-processing.ts` | Stream transformation | Processing large files |
| `templates/crypto-operations.ts` | Crypto utilities | Signing, hashing, encryption |
| `templates/websocket-handler.ts` | WebSocket DO | Real-time applications |
## Resources
- Runtime APIs: https://developers.cloudflare.com/workers/runtime-apis/
- Fetch API: https://developers.cloudflare.com/workers/runtime-apis/fetch/
- Streams API: https://developers.cloudflare.com/workers/runtime-apis/streams/
- Web Crypto: https://developers.cloudflare.com/workers/runtime-apis/web-crypto/
- Cache API: https://developers.cloudflare.com/workers/runtime-apis/cache/
- WebSockets: https://developers.cloudflare.com/workers/runtime-apis/websockets/
This skill exposes production-ready Cloudflare Workers runtime API patterns for Fetch, Streams, Crypto, Cache, WebSockets, and text encoding. It provides practical code examples and safety rules to build reliable HTTP clients, streaming handlers, encryption utilities, caching layers, and real-time connections. Use it to avoid common runtime pitfalls and accelerate Workers-based services.
The skill bundles concise TypeScript patterns and templates that demonstrate how to perform timed fetches, retries, streaming transforms, hashing and HMAC signing, cache reads/writes, and Durable Object WebSocket handling. It highlights critical runtime rules—timeouts, response cloning, stream usage, and error handling—and gives ready-to-use snippets for common flows. Developers can pick specific reference areas (fetch, streams, crypto, cache, websockets, encoding) depending on the task.
What causes 'Body has already been consumed' and how do I fix it?
This happens when you read a response body more than once. Fix it by cloning the response (response.clone()) before reading the body in multiple places.
How do I avoid worker timeouts when an external API hangs?
Use an AbortController with a setTimeout to cancel the fetch after a reasonable interval, and handle the abort error to fail gracefully.