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azure-eventhub-tsAzure eventhub TS 部署

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

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1,639

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69

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下载量

574
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:azure-eventhub-ts(Azure eventhub TS 部署)
来源仓库:https://github.com/sickn33/antigravity-awesome-skills
仓库路径:skills/azure-eventhub-ts
安装命令:
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill azure-eventhub-ts
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/sickn33/antigravity-awesome-skills --skill azure-eventhub-ts

简介

TypeScript SDK 提供 Event Hubs 事件生产与消费的类型安全接口。

  • 适用于 Node.js 微服务间的松耦合通信与实时仪表盘数据源构建。
  • 支持与 Azure Blob 检查点存储集成,确保消费者故障后可恢复。
  • 导入 @azure/event-hubs 与 @azure/identity 包完成初始化配置。
  • 发送端应处理可能的网络异常并重试,避免消息丢失。

SKILL.md

Azure Event Hubs SDK for TypeScript

High-throughput event streaming and real-time data ingestion.

Installation

npm install @azure/event-hubs @azure/identity

For checkpointing with consumer groups:

npm install @azure/eventhubs-checkpointstore-blob @azure/storage-blob

Environment Variables

EVENTHUB_NAMESPACE=<namespace>.servicebus.windows.net
EVENTHUB_NAME=my-eventhub
STORAGE_ACCOUNT_NAME=<storage-account>
STORAGE_CONTAINER_NAME=checkpoints

Authentication

import { EventHubProducerClient, EventHubConsumerClient } from "@azure/event-hubs";
import { DefaultAzureCredential } from "@azure/identity";

const fullyQualifiedNamespace = process.env.EVENTHUB_NAMESPACE!;
const eventHubName = process.env.EVENTHUB_NAME!;
const credential = new DefaultAzureCredential();

// Producer
const producer = new EventHubProducerClient(fullyQualifiedNamespace, eventHubName, credential);

// Consumer
const consumer = new EventHubConsumerClient(
  "$Default", // Consumer group
  fullyQualifiedNamespace,
  eventHubName,
  credential
);

Core Workflow

Send Events

const producer = new EventHubProducerClient(namespace, eventHubName, credential);

// Create batch and add events
const batch = await producer.createBatch();
batch.tryAdd({ body: { temperature: 72.5, deviceId: "sensor-1" } });
batch.tryAdd({ body: { temperature: 68.2, deviceId: "sensor-2" } });

await producer.sendBatch(batch);
await producer.close();

Send to Specific Partition

// By partition ID
const batch = await producer.createBatch({ partitionId: "0" });

// By partition key (consistent hashing)
const batch = await producer.createBatch({ partitionKey: "device-123" });

Receive Events (Simple)

const consumer = new EventHubConsumerClient("$Default", namespace, eventHubName, credential);

const subscription = consumer.subscribe({
  processEvents: async (events, context) => {
    for (const event of events) {
      console.log(`Partition: ${context.partitionId}, Body: ${JSON.stringify(event.body)}`);
    }
  },
  processError: async (err, context) => {
    console.error(`Error on partition ${context.partitionId}: ${err.message}`);
  },
});

// Stop after some time
setTimeout(async () => {
  await subscription.close();
  await consumer.close();
}, 60000);

Receive with Checkpointing (Production)

import { EventHubConsumerClient } from "@azure/event-hubs";
import { ContainerClient } from "@azure/storage-blob";
import { BlobCheckpointStore } from "@azure/eventhubs-checkpointstore-blob";

const containerClient = new ContainerClient(
  `https://${storageAccount}.blob.core.windows.net/${containerName}`,
  credential
);

const checkpointStore = new BlobCheckpointStore(containerClient);

const consumer = new EventHubConsumerClient(
  "$Default",
  namespace,
  eventHubName,
  credential,
  checkpointStore
);

const subscription = consumer.subscribe({
  processEvents: async (events, context) => {
    for (const event of events) {
      console.log(`Processing: ${JSON.stringify(event.body)}`);
    }
    // Checkpoint after processing batch
    if (events.length > 0) {
      await context.updateCheckpoint(events[events.length - 1]);
    }
  },
  processError: async (err, context) => {
    console.error(`Error: ${err.message}`);
  },
});

Receive from Specific Position

const subscription = consumer.subscribe({
  processEvents: async (events, context) => { /* ... */ },
  processError: async (err, context) => { /* ... */ },
}, {
  startPosition: {
    // Start from beginning
    "0": { offset: "@earliest" },
    // Start from end (new events only)
    "1": { offset: "@latest" },
    // Start from specific offset
    "2": { offset: "12345" },
    // Start from specific time
    "3": { enqueuedOn: new Date("2024-01-01") },
  },
});

Event Hub Properties

// Get hub info
const hubProperties = await producer.getEventHubProperties();
console.log(`Partitions: ${hubProperties.partitionIds}`);

// Get partition info
const partitionProperties = await producer.getPartitionProperties("0");
console.log(`Last sequence: ${partitionProperties.lastEnqueuedSequenceNumber}`);

Batch Processing Options

const subscription = consumer.subscribe(
  {
    processEvents: async (events, context) => { /* ... */ },
    processError: async (err, context) => { /* ... */ },
  },
  {
    maxBatchSize: 100,           // Max events per batch
    maxWaitTimeInSeconds: 30,    // Max wait for batch
  }
);

Key Types

import {
  EventHubProducerClient,
  EventHubConsumerClient,
  EventData,
  ReceivedEventData,
  PartitionContext,
  Subscription,
  SubscriptionEventHandlers,
  CreateBatchOptions,
  EventPosition,
} from "@azure/event-hubs";

import { BlobCheckpointStore } from "@azure/eventhubs-checkpointstore-blob";

Event Properties

// Send with properties
const batch = await producer.createBatch();
batch.tryAdd({
  body: { data: "payload" },
  properties: {
    eventType: "telemetry",
    deviceId: "sensor-1",
  },
  contentType: "application/json",
  correlationId: "request-123",
});

// Access in receiver
consumer.subscribe({
  processEvents: async (events, context) => {
    for (const event of events) {
      console.log(`Type: ${event.properties?.eventType}`);
      console.log(`Sequence: ${event.sequenceNumber}`);
      console.log(`Enqueued: ${event.enqueuedTimeUtc}`);
      console.log(`Offset: ${event.offset}`);
    }
  },
});

Error Handling

consumer.subscribe({
  processEvents: async (events, context) => {
    try {
      for (const event of events) {
        await processEvent(event);
      }
      await context.updateCheckpoint(events[events.length - 1]);
    } catch (error) {
      // Don't checkpoint on error - events will be reprocessed
      console.error("Processing failed:", error);
    }
  },
  processError: async (err, context) => {
    if (err.name === "MessagingError") {
      // Transient error - SDK will retry
      console.warn("Transient error:", err.message);
    } else {
      // Fatal error
      console.error("Fatal error:", err);
    }
  },
});

Best Practices

  1. Use checkpointing - Always checkpoint in production for exactly-once processing
  2. Batch sends - Use createBatch() for efficient sending
  3. Partition keys - Use partition keys to ensure ordering for related events
  4. Consumer groups - Use separate consumer groups for different processing pipelines
  5. Handle errors gracefully - Don't checkpoint on processing failures
  6. Close clients - Always close producer/consumer when done
  7. Monitor lag - Track lastEnqueuedSequenceNumber vs processed sequence

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

适合场景

01

Azure 资源规划

02

云服务升级

03

基础设施检查

04

企业云环境自动化

能力概览

能力 1

整理 Azure 服务操作流程

能力 2

提示 CLI/MCP 前置条件

能力 3

辅助云资源检查和规划

能力 4

保留官方服务来源线索

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

38.28%
按下载量换算220

Claude

27.19%
按下载量换算156

Cursor

19.6%
按下载量换算113

Gemini CLI

9.88%
按下载量换算57

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

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

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。

来源信息

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