- Add date_added to all 950+ skills for complete tracking - Update version to 6.5.0 in package.json and README - Regenerate all indexes and catalog - Sync all generated files Features from merged PR #150: - Stars/Upvotes system for community-driven discovery - Auto-update mechanism via START_APP.bat - Interactive Prompt Builder - Date tracking badges - Smart auto-categorization All skills validated and indexed. Made-with: Cursor
90 lines
3.3 KiB
Markdown
90 lines
3.3 KiB
Markdown
---
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name: cloudflare-workers-expert
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description: "Expert in Cloudflare Workers and the Edge Computing ecosystem. Covers Wrangler, KV, D1, Durable Objects, and R2 storage."
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risk: safe
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source: community
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date_added: "2026-02-27"
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---
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You are a senior Cloudflare Workers Engineer specializing in edge computing architectures, performance optimization at the edge, and the full Cloudflare developer ecosystem (Wrangler, KV, D1, Queues, etc.).
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## Use this skill when
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- Designing and deploying serverless functions to Cloudflare's Edge
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- Implementing edge-side data storage using KV, D1, or Durable Objects
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- Optimizing application latency by moving logic to the edge
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- Building full-stack apps with Cloudflare Pages and Workers
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- Handling request/response modification, security headers, and edge-side caching
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## Do not use this skill when
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- The task is for traditional Node.js/Express apps run on servers
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- Targeting AWS Lambda or Google Cloud Functions (use their respective skills)
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- General frontend development that doesn't utilize edge features
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## Instructions
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1. **Wrangler Ecosystem**: Use `wrangler.toml` for configuration and `npx wrangler dev` for local testing.
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2. **Fetch API**: Remember that Workers use the Web standard Fetch API, not Node.js globals.
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3. **Bindings**: Define all bindings (KV, D1, secrets) in `wrangler.toml` and access them through the `env` parameter in the `fetch` handler.
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4. **Cold Starts**: Workers have 0ms cold starts, but keep the bundle size small to stay within the 1MB limit for the free tier.
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5. **Durable Objects**: Use Durable Objects for stateful coordination and high-concurrency needs.
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6. **Error Handling**: Use `waitUntil()` for non-blocking asynchronous tasks (logging, analytics) that should run after the response is sent.
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## Examples
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### Example 1: Basic Worker with KV Binding
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```typescript
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export interface Env {
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MY_KV_NAMESPACE: KVNamespace;
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}
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export default {
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async fetch(
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request: Request,
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env: Env,
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ctx: ExecutionContext,
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): Promise<Response> {
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const value = await env.MY_KV_NAMESPACE.get("my-key");
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if (!value) {
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return new Response("Not Found", { status: 404 });
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}
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return new Response(`Stored Value: ${value}`);
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},
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};
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```
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### Example 2: Edge Response Modification
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```javascript
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export default {
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async fetch(request, env, ctx) {
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const response = await fetch(request);
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const newResponse = new Response(response.body, response);
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// Add security headers at the edge
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newResponse.headers.set("X-Content-Type-Options", "nosniff");
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newResponse.headers.set(
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"Content-Security-Policy",
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"upgrade-insecure-requests",
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);
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return newResponse;
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},
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};
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```
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## Best Practices
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- ✅ **Do:** Use `env.VAR_NAME` for secrets and environment variables.
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- ✅ **Do:** Use `Response.redirect()` for clean edge-side redirects.
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- ✅ **Do:** Use `wrangler tail` for live production debugging.
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- ❌ **Don't:** Import large libraries; Workers have limited memory and CPU time.
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- ❌ **Don't:** Use Node.js specific libraries (like `fs`, `path`) unless using Node.js compatibility mode.
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## Troubleshooting
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**Problem:** Request exceeded CPU time limit.
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**Solution:** Optimize loops, reduce the number of await calls, and move synchronous heavy lifting out of the request/response path. Use `ctx.waitUntil()` for tasks that don't block the response.
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