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cloudflare-queuesCloudflare 队列

Agent Skill

cloudflare-queues 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

466

周安装

20

GitHub Stars

14

下载量

163
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-queues(Cloudflare 队列)
来源仓库:https://github.com/itechmeat/llm-code
仓库路径:skills/cloudflare-queues
安装命令:
npx skills add https://github.com/itechmeat/llm-code --skill cloudflare-queues
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/itechmeat/llm-code --skill cloudflare-queues

简介

cloudflare-queues 用于处理 GitHub 仓库、Issue、Pull Request 等代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中进行项目状态跟踪。

  • 适用于 Cloudflare Queues 相关的消息队列和异步处理工作。
  • 通过 GitHub API 调用、代码审查和协作流程管理来处理开发任务。
  • 安装命令:npx skills add https://github.com/itechmeat/llm-code --skill cloudflare-queues
  • 建议确认 GitHub 访问权限和仓库读写权限,注意 API 调用限制

SKILL.md

Cloudflare Queues

Queues is a message queue for Workers. Supports push (Worker consumer) and pull (HTTP API) patterns. At-least-once delivery.


Quick Start

Create queue

npx wrangler queues create my-queue

Producer binding

// wrangler.jsonc
{
  "queues": {
    "producers": [
      {
        "queue": "my-queue",
        "binding": "MY_QUEUE"
      }
    ]
  }
}

Consumer binding

// wrangler.jsonc
{
  "queues": {
    "consumers": [
      {
        "queue": "my-queue",
        "max_batch_size": 10,
        "max_batch_timeout": 5
      }
    ]
  }
}

Producer Worker

export interface Env {
  MY_QUEUE: Queue;
}

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    await env.MY_QUEUE.send({ url: request.url, method: request.method });
    return new Response("Message sent");
  },
};

Consumer Worker

export interface Env {}

export default {
  async queue(batch: MessageBatch, env: Env): Promise<void> {
    for (const msg of batch.messages) {
      console.log(msg.body);
      msg.ack();
    }
  },
};

Producer API

send(body, options?)

await env.MY_QUEUE.send({ action: "process", id: 123 });

// With delay
await env.MY_QUEUE.send(message, { delaySeconds: 600 }); // 10 min delay

// With content type
await env.MY_QUEUE.send(message, { contentType: "json" });

sendBatch(messages, options?)

await env.MY_QUEUE.sendBatch([{ body: { id: 1 } }, { body: { id: 2 }, options: { delaySeconds: 300 } }, { body: { id: 3 } }]);

// Global delay for batch
await env.MY_QUEUE.sendBatch(messages, { delaySeconds: 600 });

Limits:

  • Max 100 messages per batch
  • Max 128 KB per message
  • Total batch ≤ 256 KB

Content Types

TypeDescription
jsonJSON serialized (default)
textPlain text
bytesRaw binary
v8V8 serialization (Workers only)

Note: Pull consumers cannot decode v8 content type.

See api.md for type definitions.


Consumer API

MessageBatch

interface MessageBatch<Body = unknown> {
  readonly queue: string;
  readonly messages: Message<Body>[];
  ackAll(): void;
  retryAll(options?: { delaySeconds?: number }): void;
}

Message

interface Message<Body = unknown> {
  readonly id: string;
  readonly timestamp: Date;
  readonly body: Body;
  readonly attempts: number;
  ack(): void;
  retry(options?: { delaySeconds?: number }): void;
}

Acknowledgment Patterns

export default {
  async queue(batch: MessageBatch, env: Env): Promise<void> {
    for (const msg of batch.messages) {
      try {
        await processMessage(msg.body);
        msg.ack(); // Explicit success
      } catch (error) {
        msg.retry({ delaySeconds: 60 }); // Retry with delay
      }
    }
  },
};

Batch-level operations

export default {
  async queue(batch: MessageBatch, env: Env): Promise<void> {
    try {
      await processAll(batch.messages);
      batch.ackAll(); // All succeeded
    } catch (error) {
      batch.retryAll({ delaySeconds: 300 }); // Retry all
    }
  },
};

Precedence: Per-message calls override batch-level.


Consumer Configuration

{
  "queues": {
    "consumers": [
      {
        "queue": "my-queue",
        "max_batch_size": 10, // 1-100, default 10
        "max_batch_timeout": 5, // 0-60 seconds, default 5
        "max_retries": 3, // default 3
        "max_concurrency": 10, // default: auto-scale
        "dead_letter_queue": "dlq", // optional DLQ
        "retry_delay": 60 // default retry delay (seconds)
      }
    ]
  }
}
SettingDefaultMaxDescription
max_batch_size10100Messages per batch
max_batch_timeout560Seconds to wait for batch
max_retries3100Retries before DLQ/delete
max_concurrencyauto250Concurrent invocations
retry_delay043200Default retry delay (12h)

See consumer.md for details.


Dead Letter Queues

Messages that fail after max_retries go to DLQ.

{
  "queues": {
    "consumers": [
      {
        "queue": "my-queue",
        "max_retries": 5,
        "dead_letter_queue": "my-dlq"
      }
    ]
  }
}

Create DLQ:

npx wrangler queues create my-dlq

DLQ retention: 4 days without consumer.

Process DLQ:

{
  "queues": {
    "consumers": [
      {
        "queue": "my-dlq",
        "max_batch_size": 1
      }
    ]
  }
}

Delivery Delay

On send

await env.MY_QUEUE.send(message, { delaySeconds: 600 }); // 10 min

On retry

msg.retry({ delaySeconds: 3600 }); // 1 hour

Queue-level default

npx wrangler queues create my-queue --delivery-delay-secs=300

Exponential backoff

const backoff = (attempts: number, base = 10) => base ** attempts;

msg.retry({ delaySeconds: Math.min(backoff(msg.attempts), 43200) });

Maximum delay: 12 hours (43200 seconds).


Concurrency

Consumers auto-scale based on backlog. Set max:

{
  "queues": {
    "consumers": [
      {
        "queue": "my-queue",
        "max_concurrency": 5
      }
    ]
  }
}

max_concurrency: 1 = sequential processing.

Scaling factors:

  • Backlog size and growth
  • Success/failure ratio
  • max_concurrency limit

Note: retry() calls don't count as failures for scaling.


Pull Consumers (HTTP API)

For consuming outside Workers.

Enable pull consumer

{
  "queues": {
    "consumers": [
      {
        "queue": "my-queue",
        "type": "http_pull",
        "visibility_timeout_ms": 5000,
        "max_retries": 5
      }
    ]
  }
}

Pull messages

curl -X POST "https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/queues/$QUEUE_ID/messages/pull" \
  -H "Authorization: Bearer $API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"batch_size": 10, "visibility_timeout_ms": 30000}'

Acknowledge messages

curl -X POST "https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/queues/$QUEUE_ID/messages/ack" \
  -H "Authorization: Bearer $API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "acks": [{"lease_id": "..."}],
    "retries": [{"lease_id": "...", "delay_seconds": 60}]
  }'

See pull-consumer.md for details.


Wrangler Commands

# Queue management
wrangler queues create <name> [--delivery-delay-secs=N]
wrangler queues delete <name>
wrangler queues list
wrangler queues info <name>

# Pause/resume
wrangler queues pause-delivery <name>
wrangler queues resume-delivery <name>

# Purge all messages
wrangler queues purge <name>

# Consumer management
wrangler queues consumer add <queue> <script> [options]
wrangler queues consumer remove <queue> <script>
wrangler queues consumer http add <queue> [options]
wrangler queues consumer http remove <queue>

Limits

ParameterLimit
Queues per account10,000
Message size128 KB
Messages per sendBatch100
Batch size (consumer)100
Per-queue throughput5,000 msg/sec
Per-queue backlog25 GB
Message retention4 days (max 14)
Concurrent consumers250
Consumer duration15 min wall clock
Consumer CPU30 sec (max 5 min)
Delay (send/retry)12 hours
Max retries100

Increase CPU limit

{
  "limits": {
    "cpu_ms": 300000 // 5 minutes
  }
}

Pricing

Workers Paid: 1M operations/month included, then $0.40/million.

Operation = 64 KB chunk written, read, or deleted.

ActionOperations
Send 1 message1 write
Consume 1 message1 read
Delete 1 message1 delete (on ack)
Retry1 additional read
DLQ write1 write

Formula: (Messages × 3 - 1M) / 1M × $0.40

No egress fees.

See pricing.md for examples.


Delivery Guarantees

At-least-once delivery: Messages delivered at least once, possibly duplicated.

Handle duplicates:

export default {
  async queue(batch: MessageBatch, env: Env): Promise<void> {
    for (const msg of batch.messages) {
      const key = `processed:${msg.id}`;
      if (await env.KV.get(key)) {
        msg.ack(); // Already processed
        continue;
      }
      await processMessage(msg.body);
      await env.KV.put(key, "1", { expirationTtl: 86400 });
      msg.ack();
    }
  },
};

Event Notifications

R2 and other services can send events to Queues.

# R2 → Queue
wrangler r2 bucket notification create my-bucket \
  --event-type object-create \
  --queue my-queue

See cloudflare-r2 skill for event notification setup.


Prohibitions

  • ❌ Do not use v8 content type with pull consumers
  • ❌ Do not exceed 128 KB per message
  • ❌ Do not rely on exactly-once delivery (use idempotency)
  • ❌ Do not ignore DLQ — process failed messages
  • ❌ Do not set excessive concurrency without testing

References

Links

Related Skills

  • cloudflare-workers — Worker development
  • cloudflare-r2 — R2 event notifications
  • cloudflare-durable-objects — Queue producer from DO
  • cloudflare-kv — Idempotency tracking

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

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能力 2

展示可复制的安装命令

能力 3

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能力 4

展示第三方安全扫描或审计结果

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

38.04%
按下载量换算62

Claude

28.52%
按下载量换算46

Cursor

18.17%
按下载量换算30

Gemini CLI

9.63%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

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安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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