travisjneuman/.claude/edge-computing

Claude Code and agent skill by travisjneuman/.claude

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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.

Install

npx vskill@latest install travisjneuman/.claude/edge-computing

SKILL.md

Edge Computing

Platforms

PlatformRuntimeCold StartLimits
Cloudflare WorkersV8 isolates~0ms128MB, 30s CPU
Deno DeployV8 isolates~0ms512MB, 50ms CPU
Vercel Edge FunctionsV8 isolates~0ms128MB, 25s
AWS Lambda@EdgeNode.js~100ms128MB, 5s (viewer)
BunJavaScriptCoreN/A (server)No hard limits

Cloudflare Workers

typescript
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

DatabaseTypeBest For
Cloudflare D1SQLiteWorkers-native, SQL at edge
TursolibSQL (SQLite)Multi-region replicas, embedded
Cloudflare KVKey-valueSimple caching, config
Durable ObjectsStatefulReal-time, coordination, counters
Upstash RedisRedisRate limiting, sessions at edge

Deno Deploy

typescript
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

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
63
Repository forks
15
7-day trend score
21

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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