travisjneuman/.claude93 installs
edge-computing
Edge computing with Cloudflare Workers, Deno Deploy, Bun, Vercel Edge Functions, AWS Lambda@Edge, and edge databases (Turso, D1, DynamoDB Global Tables). Use when building low-latency edge applications, edge-side rendering, or globally distributed compute.
How do I install this agent skill?
npx skills add https://github.com/travisjneuman/.claude --skill edge-computingIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill provides instructional content and code templates for building edge computing applications on platforms like Cloudflare and Deno. No security risks were identified.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
- ZeroLeakspass
Score: 93/100 · 2 sections analyzed
What does this agent skill do?
Edge Computing
Platforms
| Platform | Runtime | Cold Start | Limits |
|---|---|---|---|
| Cloudflare Workers | V8 isolates | ~0ms | 128MB, 30s CPU |
| Deno Deploy | V8 isolates | ~0ms | 512MB, 50ms CPU |
| Vercel Edge Functions | V8 isolates | ~0ms | 128MB, 25s |
| AWS Lambda@Edge | Node.js | ~100ms | 128MB, 5s (viewer) |
| Bun | JavaScriptCore | N/A (server) | No hard limits |
Cloudflare Workers
export default {
async fetch(request: Request, env: Env): Promise<Response> {
const url = new URL(request.url);
// KV storage
const cached = await env.KV.get(url.pathname);
if (cached) return new Response(cached, { headers: { 'Cache-Control': 'max-age=60' } });
// D1 database
const { results } = await env.DB.prepare('SELECT * FROM users WHERE id = ?')
.bind(url.searchParams.get('id'))
.all();
// Durable Objects for state
const id = env.COUNTER.idFromName('global');
const obj = env.COUNTER.get(id);
const count = await obj.fetch(request);
return new Response(JSON.stringify(results));
}
};
Edge Databases
| Database | Type | Best For |
|---|---|---|
| Cloudflare D1 | SQLite | Workers-native, SQL at edge |
| Turso | libSQL (SQLite) | Multi-region replicas, embedded |
| Cloudflare KV | Key-value | Simple caching, config |
| Durable Objects | Stateful | Real-time, coordination, counters |
| Upstash Redis | Redis | Rate limiting, sessions at edge |
Deno Deploy
Deno.serve(async (req: Request) => {
const kv = await Deno.openKv();
const url = new URL(req.url);
if (req.method === "POST") {
const body = await req.json();
await kv.set(["items", crypto.randomUUID()], body);
return new Response("Created", { status: 201 });
}
const entries = kv.list({ prefix: ["items"] });
const items = [];
for await (const entry of entries) items.push(entry.value);
return Response.json(items);
});
Patterns
- Edge-side rendering: SSR at the edge for <50ms TTFB globally
- Smart routing: Geo-aware request routing based on
request.cf.country - Edge caching: Cache API for fine-grained control, stale-while-revalidate
- Rate limiting: Sliding window counters with Durable Objects or Upstash
- A/B testing: Edge-side feature flags without origin round-trips
- Image optimization: On-the-fly transforms at edge (Cloudflare Images, Imgproxy)
Constraints & Gotchas
- No Node.js APIs (fs, net, etc.) in V8 isolate runtimes
- No native modules or binaries (use WASM for compute-heavy work)
- Limited CPU time per request — offload heavy work to queues
- Cold starts are near-zero for isolates but real for Lambda@Edge
- Database connections: use HTTP-based clients, not TCP connection pools
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/travisjneuman/.claude/edge-computing">View edge-computing on skillZs</a>