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Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.

Use this Skill: https://skilld.dev/gh/davila7/claude-code-templates/cloudflare-deploy

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referencesminiflareREADME.md

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Miniflare

Local simulator for Cloudflare Workers development/testing. Runs Workers in workerd sandbox implementing runtime APIs - no internet required.

Features

  • Full-featured: KV, Durable Objects, R2, D1, WebSockets, Queues
  • Fully-local: test without internet, instant reload
  • TypeScript-native: detailed logging, source maps
  • Advanced testing: dispatch events without HTTP, simulate Worker connections

When to Use

Decision tree for testing Workers:

Need to test Workers?
│
├─ Unit tests for business logic only?
│  └─ getPlatformProxy (Vitest/Jest) → [patterns.md](./patterns.md#getplatformproxy)
│     Fast, no HTTP, direct binding access
│
├─ Integration tests with full runtime?
│  ├─ Single Worker?
│  │  └─ Miniflare API → [Quick Start](#quick-start)
│  │     Full control, programmatic access
│  │
│  ├─ Multiple Workers + service bindings?
│  │  └─ Miniflare workers array → [configuration.md](./configuration.md#multiple-workers)
│  │     Shared storage, inter-worker calls
│  │
│  └─ Vitest test runner integration?
│     └─ vitest-pool-workers → [patterns.md](./patterns.md#vitest-pool-workers)
│        Full Workers env in Vitest
│
└─ Local dev server?
   └─ wrangler dev (not Miniflare)
      Hot reload, automatic config

Use Miniflare for:

  • Integration tests with full Worker runtime
  • Testing bindings/storage locally
  • Multiple Workers with service bindings
  • Programmatic event dispatch (fetch, queue, scheduled)

Use getPlatformProxy for:

  • Fast unit tests of business logic
  • Testing without HTTP overhead
  • Vitest/Jest environments

Use Wrangler for:

  • Local development workflow
  • Production deployments

Setup

npm i -D miniflare

Requires ES modules in package.json:

{"type": "module"}

Quick Start

import { Miniflare } from "miniflare";

const mf = new Miniflare({
  modules: true,
  script: `
    export default {
      async fetch(request, env, ctx) {
        return new Response("Hello Miniflare!");
      }
    }
  `,
});

const res = await mf.dispatchFetch("http://localhost:8787/");
console.log(await res.text()); // Hello Miniflare!
await mf.dispose();

Reading Order

New to Miniflare? Start here:

  1. Quick Start - Running in 2 minutes
  2. When to Use - Choose your testing approach
  3. patterns.md - Testing patterns (getPlatformProxy, Vitest, node:test)
  4. configuration.md - Configure bindings, storage, multiple workers

Troubleshooting:

API reference:

  • api.md - Complete method reference

See Also

  • wrangler - CLI tool that embeds Miniflare for wrangler dev
  • workerd - Runtime that powers Miniflare
  • workers - Workers runtime API documentation

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub1d

    The skill is a comprehensive documentation and reference suite for deploying applications and infrastructure to the Cloudflare platform. It provides detailed technical guidance, code snippets, and architectural patterns for various services including Workers, Pages, D1, R2, and AI Gateway. No malicious patterns, obfuscation, or unauthorized data access were detected.

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    1 alert: gptAnomaly

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Last checked against GitHub 19 hours ago.

Activeupdated 8 months ago
author
openai

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