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cloudflare-workersCloudflare Workers 开发

Agent Skill

cloudflare-workers 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

745

周安装

32

GitHub Stars

24

下载量

261
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cloudflare-workers(Cloudflare Workers 开发)
来源仓库:https://github.com/tenequm/skills
仓库路径:skills/cloudflare-workers
安装命令:
npx skills add https://github.com/tenequm/skills --skill cloudflare-workers
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/tenequm/skills --skill cloudflare-workers

简介

用于处理 GitHub 仓库中与 Cloudflare Workers 开发相关的协作信息。

  • 适合在边缘函数开发过程中管理代码变更和问题讨论。
  • 通过 npx 命令安装,依赖仓库 API 获取实时项目状态。
  • 使用前需确认是否有权限访问相关代码库和部署环境。
  • 建议在沙箱环境中测试,避免直接影响线上服务。cloudflare-workers 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Cloudflare Workers

Overview

Cloudflare Workers is a serverless execution environment that runs JavaScript, TypeScript, Python, and Rust code on Cloudflare's global network. Workers execute in milliseconds, scale automatically, and integrate with Cloudflare's storage and compute products through bindings.

Key Benefits:

  • Zero cold starts - Workers run in V8 isolates, not containers
  • Global deployment - Code runs in 300+ cities worldwide
  • Rich ecosystem - Bindings to D1, KV, R2, Durable Objects, Queues, Containers, Workflows, and more
  • Full-stack capable - Build APIs and serve static assets in one project
  • Standards-based - Uses Web APIs (fetch, crypto, streams, WebSockets)

When to Use This Skill

Use Cloudflare Workers for:

  • APIs and backends - RESTful APIs, GraphQL, tRPC, WebSocket servers
  • Full-stack applications - React, Next.js, Remix, Astro, Vue, Svelte with static assets
  • Edge middleware - Authentication, rate limiting, A/B testing, routing
  • Background processing - Scheduled jobs (cron), queue consumers, webhooks
  • Data transformation - ETL pipelines, real-time data processing
  • AI applications - RAG systems, chatbots, image generation with Workers AI
  • Durable workflows - Multi-step long-running tasks with automatic retries (Workflows)
  • Container workloads - Run Docker containers alongside Workers (Containers)
  • MCP servers - Host remote Model Context Protocol servers
  • Proxy and gateway - API gateways, content transformation, protocol translation

Quick Start Workflow

1. Install Wrangler CLI

npm install -g wrangler

# Login to Cloudflare
wrangler login

2. Create a New Worker

# Using C3 (create-cloudflare) - recommended
npm create cloudflare@latest my-worker

# Or create manually
wrangler init my-worker
cd my-worker

3. Write Your Worker

Basic HTTP API (TypeScript):

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    const url = new URL(request.url);

    if (url.pathname === "/api/hello") {
      return Response.json({ message: "Hello from Workers!" });
    }

    return new Response("Not found", { status: 404 });
  },
};

With environment variables and KV:

interface Env {
  MY_VAR: string;
  MY_KV: KVNamespace;
}

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    // Access environment variable
    const greeting = env.MY_VAR;

    // Read from KV
    const value = await env.MY_KV.get("my-key");

    return Response.json({ greeting, value });
  },
};

4. Develop Locally

# Start local development server with hot reload
wrangler dev

# Access at http://localhost:8787

5. Deploy to Production

# Deploy to workers.dev subdomain
wrangler deploy

# Deploy to custom domain (configure in wrangler.toml)
wrangler deploy

Core Concepts

Workers Runtime

Workers use the V8 JavaScript engine with Web Standard APIs:

  • Execution model: Isolates (not containers) - instant cold starts
  • CPU time limit: 10ms (Free), 30s (Paid) per request
  • Memory limit: 128 MB per isolate
  • Languages: JavaScript, TypeScript, Python, Rust
  • APIs: fetch, crypto, streams, WebSockets, WebAssembly

Supported APIs:

  • Fetch API (HTTP requests)
  • URL API (URL parsing)
  • Web Crypto (encryption, hashing)
  • Streams API (data streaming)
  • WebSockets (real-time communication)
  • Cache API (edge caching)
  • HTML Rewriter (HTML transformation)

Handlers

Workers respond to events through handlers:

Fetch Handler (HTTP requests):

export default {
  async fetch(request: Request, env: Env, ctx: ExecutionContext) {
    return new Response("Hello!");
  },
};

Scheduled Handler (cron jobs):

export default {
  async scheduled(event: ScheduledEvent, env: Env, ctx: ExecutionContext) {
    // Runs on schedule defined in wrangler.toml
    await env.MY_KV.put("last-run", new Date().toISOString());
  },
};

Queue Handler (message processing):

export default {
  async queue(batch: MessageBatch<any>, env: Env, ctx: ExecutionContext) {
    for (const message of batch.messages) {
      await processMessage(message.body);
      message.ack();
    }
  },
};

Bindings

Bindings connect your Worker to Cloudflare resources. Configure in wrangler.toml:

KV (Key-Value Storage):

[[kv_namespaces]]
binding = "MY_KV"
id = "your-kv-namespace-id"
// Usage
await env.MY_KV.put("key", "value");
const value = await env.MY_KV.get("key");

D1 (SQL Database):

[[d1_databases]]
binding = "DB"
database_name = "my-database"
database_id = "your-database-id"
// Usage
const result = await env.DB.prepare(
  "SELECT * FROM users WHERE id = ?"
).bind(userId).all();

R2 (Object Storage):

[[r2_buckets]]
binding = "MY_BUCKET"
bucket_name = "my-bucket"
// Usage
await env.MY_BUCKET.put("file.txt", "contents");
const object = await env.MY_BUCKET.get("file.txt");
const text = await object?.text();

Environment Variables:

[vars]
API_KEY = "development-key"  # pragma: allowlist secret

Secrets (sensitive data):

# Set via CLI (not in wrangler.toml)
wrangler secret put API_KEY

Context (ctx)

The ctx parameter provides control over request lifecycle:

export default {
  async fetch(request: Request, env: Env, ctx: ExecutionContext) {
    // Run tasks after response is sent
    ctx.waitUntil(
      env.MY_KV.put("request-count", String(Date.now()))
    );

    // Pass through to origin on exception
    ctx.passThroughOnException();

    return new Response("OK");
  },
};

Top-level Environment Access

Since March 2025, you can import env at the module level instead of passing it through handlers:

import { env } from "cloudflare:workers";

// Access bindings outside of handlers
const apiClient = new ApiClient({ apiKey: env.API_KEY });

export default {
  async fetch(request: Request): Promise<Response> {
    // env is also available here without the parameter
    const data = await env.MY_KV.get("config");
    return Response.json({ data });
  },
};

This eliminates prop-drilling env through function signatures and enables module-level initialization.

Rapid Development Patterns

Wrangler Configuration

Essential wrangler.toml:

name = "my-worker"
main = "src/index.ts"
compatibility_date = "2025-09-01"

# Custom domain
routes = [
  { pattern = "api.example.com/*", zone_name = "example.com" }
]

# Or workers.dev subdomain
workers_dev = true

# Environment variables
[vars]
ENVIRONMENT = "production"

# Bindings
[[kv_namespaces]]
binding = "CACHE"
id = "your-kv-id"

[[d1_databases]]
binding = "DB"
database_name = "production-db"
database_id = "your-db-id"

[[r2_buckets]]
binding = "ASSETS"
bucket_name = "my-assets"

# Cron triggers
[triggers]
crons = ["0 0 * * *"]  # Daily at midnight

Environment Management

Use environments for staging/production:

[env.staging]
vars = { ENVIRONMENT = "staging" }

[env.staging.d1_databases]
binding = "DB"
database_name = "staging-db"
database_id = "staging-db-id"

[env.production]
vars = { ENVIRONMENT = "production" }

[env.production.d1_databases]
binding = "DB"
database_name = "production-db"
database_id = "production-db-id"
# Deploy to staging
wrangler deploy --env staging

# Deploy to production
wrangler deploy --env production

Common Patterns

JSON API with Error Handling:

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    try {
      const url = new URL(request.url);

      if (url.pathname === "/api/users" && request.method === "GET") {
        const users = await env.DB.prepare("SELECT * FROM users").all();
        return Response.json(users.results);
      }

      if (url.pathname === "/api/users" && request.method === "POST") {
        const body = await request.json();
        await env.DB.prepare(
          "INSERT INTO users (name, email) VALUES (?, ?)"
        ).bind(body.name, body.email).run();
        return Response.json({ success: true }, { status: 201 });
      }

      return Response.json({ error: "Not found" }, { status: 404 });
    } catch (error) {
      return Response.json(
        { error: error.message },
        { status: 500 }
      );
    }
  },
};

Authentication Middleware:

async function authenticate(request: Request, env: Env): Promise<string | null> {
  const authHeader = request.headers.get("Authorization");
  if (!authHeader?.startsWith("Bearer ")) {
    return null;
  }

  const token = authHeader.substring(7);
  const userId = await env.SESSIONS.get(token);
  return userId;
}

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    const userId = await authenticate(request, env);

    if (!userId) {
      return Response.json({ error: "Unauthorized" }, { status: 401 });
    }

    // Proceed with authenticated request
    return Response.json({ userId });
  },
};

CORS Headers:

const corsHeaders = {
  "Access-Control-Allow-Origin": "*",
  "Access-Control-Allow-Methods": "GET, POST, PUT, DELETE, OPTIONS",
  "Access-Control-Allow-Headers": "Content-Type, Authorization",
};

export default {
  async fetch(request: Request): Promise<Response> {
    if (request.method === "OPTIONS") {
      return new Response(null, { headers: corsHeaders });
    }

    const response = await handleRequest(request);

    // Add CORS headers to response
    Object.entries(corsHeaders).forEach(([key, value]) => {
      response.headers.set(key, value);
    });

    return response;
  },
};

Static Assets (Full-Stack Apps)

Serve static files alongside your Worker code:

[assets]
directory = "./public"
binding = "ASSETS"
export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    const url = new URL(request.url);

    // API routes
    if (url.pathname.startsWith("/api/")) {
      return handleAPI(request, env);
    }

    // Serve static assets via the ASSETS binding
    return env.ASSETS.fetch(request);
  },
};

Testing

Using Vitest:

import { env, createExecutionContext } from "cloudflare:test";
import { describe, it, expect } from "vitest";
import worker from "./index";

describe("Worker", () => {
  it("responds with JSON", async () => {
    const request = new Request("http://example.com/api/hello");
    const ctx = createExecutionContext();
    const response = await worker.fetch(request, env, ctx);

    expect(response.status).toBe(200);
    expect(await response.json()).toEqual({ message: "Hello!" });
  });
});

Framework Integration

Workers supports major frameworks with adapters:

  • Next.js - Full App Router and Pages Router support
  • Remix / React Router - Native Cloudflare adapter
  • Astro - Server-side rendering on Workers
  • SvelteKit - Cloudflare adapter available
  • Hono - Lightweight web framework built for Workers
  • tRPC - Type-safe APIs with full Workers support

Example with Hono:

import { Hono } from "hono";

const app = new Hono();

app.get("/", (c) => c.text("Hello!"));
app.get("/api/users/:id", async (c) => {
  const id = c.req.param("id");
  const user = await c.env.DB.prepare(
    "SELECT * FROM users WHERE id = ?"
  ).bind(id).first();
  return c.json(user);
});

export default app;

Advanced Topics

For detailed information on advanced features, see the reference files:

  • Complete Bindings Guide: references/bindings-complete-guide.md - All binding types (D1, KV, R2, Durable Objects, Queues, Workers AI, Vectorize, Workflows, Containers, Secrets Store, Pipelines, AutoRAG)
  • Deployment & CI/CD: references/wrangler-and-deployment.md - Wrangler v4 migration, commands, GitHub Actions, GitLab CI/CD, gradual rollouts, remote bindings
  • Development Best Practices: references/development-patterns.md - Testing, debugging, error handling, performance, top-level env access patterns
  • Advanced Features: references/advanced-features.md - Containers, Workflows, MCP servers, Workers for Platforms, WebSockets, Node.js compat, streaming
  • Observability: references/observability.md - Logging (tail, Logpush, Workers Logs), metrics, traces, debugging

Resources

Official Documentation:

Templates & Quick Starts:

Community:

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.66%
按下载量换算98

Claude

31.54%
按下载量换算82

Cursor

18.58%
按下载量换算48

Gemini CLI

9.55%
按下载量换算25

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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