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edge-computing

Edge computing with Cloudflare Workers, Deno Deploy, Bun, Vercel Edge Functions, AWS Lambda@Edge, and edge databases (Turso, D1, DynamoDB Global Tables).

Skill by travisjneuman

IndexedMIT★ 106
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/travisjneuman-edge-computing

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

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.

Use cases: devops, cloud

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/edge-computing

What's inside

Skill name
edge-computing
Description
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.
License
MIT
Instructions
84 lines in SKILL.md · view on GitHub

Before installing

  • Instructions call the network

Files (1)

  • SKILL.md

SKILL.md (first lines)

# 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

```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

| 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

```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

From travisjneuman/.claude, MIT.

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Last commit (this folder)
Mar 28, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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edge-computing skill. Agent Mart. https://agentmart.dev/skills/travisjneuman-edge-computing (last updated 2026-10-24)