Awesome-omni-skills azure-servicebus-ts

Azure Service Bus SDK for TypeScript workflow skill. Use this skill when the user needs Enterprise messaging with queues, topics, and subscriptions and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

install
source · Clone the upstream repo
git clone https://github.com/diegosouzapw/awesome-omni-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/azure-servicebus-ts" ~/.claude/skills/diegosouzapw-awesome-omni-skills-azure-servicebus-ts && rm -rf "$T"
manifest: skills/azure-servicebus-ts/SKILL.md
source content

Azure Service Bus SDK for TypeScript

Overview

This public intake copy packages

plugins/antigravity-awesome-skills-claude/skills/azure-servicebus-ts
from
https://github.com/sickn33/antigravity-awesome-skills
into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json
plus
ORIGIN.md
as the provenance anchor for review.

Azure Service Bus SDK for TypeScript Enterprise messaging with queues, topics, and subscriptions.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Environment Variables, Authentication, Message Sessions, Dead-Letter Handling, Scheduled Messages, Message Deferral.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

  • This skill is applicable to execute the workflow or actions described in the overview.
  • Use when the request clearly matches the imported source intent: Enterprise messaging with queues, topics, and subscriptions.
  • Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
  • Use when provenance needs to stay visible in the answer, PR, or review packet.
  • Use when copied upstream references, examples, or scripts materially improve the answer.
  • Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

SituationStart hereWhy it matters
First-time use
metadata.json
Confirms repository, branch, commit, and imported path before touching the copied workflow
Provenance review
ORIGIN.md
Gives reviewers a plain-language audit trail for the imported source
Workflow execution
SKILL.md
Starts with the smallest copied file that materially changes execution
Supporting context
SKILL.md
Adds the next most relevant copied source file without loading the entire package
Handoff decision
## Related Skills
Helps the operator switch to a stronger native skill when the task drifts

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

  1. bash npm install @azure/service-bus @azure/identity ### Send Messages to Queue typescript const sender = client.createSender("my-queue"); // Single message await sender.sendMessages({ body: { orderId: "12345", amount: 99.99 }, contentType: "application/json", }); // Batch messages const batch = await sender.createMessageBatch(); batch.tryAddMessage({ body: "Message 1" }); batch.tryAddMessage({ body: "Message 2" }); await sender.sendMessages(batch); await sender.close(); ### Receive Messages from Queue typescript const receiver = client.createReceiver("my-queue"); // Receive batch const messages = await receiver.receiveMessages(10, { maxWaitTimeInMs: 5000 }); for (const message of messages) { console.log(Received: ${message.body}); await receiver.completeMessage(message); } await receiver.close(); ### Subscribe to Messages (Event-Driven) typescript const receiver = client.createReceiver("my-queue"); const subscription = receiver.subscribe({ processMessage: async (message) => { console.log(Processing: ${message.body}); // Message auto-completed on success }, processError: async (args) => { console.error(Error: ${args.error}); }, }); // Stop after some time setTimeout(async () => { await subscription.close(); await receiver.close(); }, 60000); ### Topics and Subscriptions typescript // Send to topic const topicSender = client.createSender("my-topic"); await topicSender.sendMessages({ body: { event: "order.created", data: { orderId: "123" } }, applicationProperties: { eventType: "order.created" }, }); // Receive from subscription const subscriptionReceiver = client.createReceiver("my-topic", "my-subscription"); const messages = await subscriptionReceiver.receiveMessages(10);
  2. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
  3. Read the overview and provenance files before loading any copied upstream support files.
  4. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
  5. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
  6. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
  7. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.

Imported Workflow Notes

Imported: Installation

npm install @azure/service-bus @azure/identity

Imported: Core Workflow

Send Messages to Queue

const sender = client.createSender("my-queue");

// Single message
await sender.sendMessages({
  body: { orderId: "12345", amount: 99.99 },
  contentType: "application/json",
});

// Batch messages
const batch = await sender.createMessageBatch();
batch.tryAddMessage({ body: "Message 1" });
batch.tryAddMessage({ body: "Message 2" });
await sender.sendMessages(batch);

await sender.close();

Receive Messages from Queue

const receiver = client.createReceiver("my-queue");

// Receive batch
const messages = await receiver.receiveMessages(10, { maxWaitTimeInMs: 5000 });
for (const message of messages) {
  console.log(`Received: ${message.body}`);
  await receiver.completeMessage(message);
}

await receiver.close();

Subscribe to Messages (Event-Driven)

const receiver = client.createReceiver("my-queue");

const subscription = receiver.subscribe({
  processMessage: async (message) => {
    console.log(`Processing: ${message.body}`);
    // Message auto-completed on success
  },
  processError: async (args) => {
    console.error(`Error: ${args.error}`);
  },
});

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

Topics and Subscriptions

// Send to topic
const topicSender = client.createSender("my-topic");
await topicSender.sendMessages({
  body: { event: "order.created", data: { orderId: "123" } },
  applicationProperties: { eventType: "order.created" },
});

// Receive from subscription
const subscriptionReceiver = client.createReceiver("my-topic", "my-subscription");
const messages = await subscriptionReceiver.receiveMessages(10);

Imported: Environment Variables

SERVICEBUS_NAMESPACE=<namespace>.servicebus.windows.net
SERVICEBUS_QUEUE_NAME=my-queue
SERVICEBUS_TOPIC_NAME=my-topic
SERVICEBUS_SUBSCRIPTION_NAME=my-subscription

Examples

Example 1: Ask for the upstream workflow directly

Use @azure-servicebus-ts to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @azure-servicebus-ts against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @azure-servicebus-ts for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @azure-servicebus-ts using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

  • Use Entra ID auth - Avoid connection strings in production
  • Reuse clients - Create ServiceBusClient once, share across senders/receivers
  • Close resources - Always close senders/receivers when done
  • Handle errors - Implement processError callback for subscription receivers
  • Use sessions for ordering - When message order matters within a group
  • Configure dead-letter - Always handle DLQ messages
  • Batch sends - Use createMessageBatch() for multiple messages

Imported Operating Notes

Imported: Best Practices

  1. Use Entra ID auth - Avoid connection strings in production
  2. Reuse clients - Create
    ServiceBusClient
    once, share across senders/receivers
  3. Close resources - Always close senders/receivers when done
  4. Handle errors - Implement
    processError
    callback for subscription receivers
  5. Use sessions for ordering - When message order matters within a group
  6. Configure dead-letter - Always handle DLQ messages
  7. Batch sends - Use
    createMessageBatch()
    for multiple messages

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in

plugins/antigravity-awesome-skills-claude/skills/azure-servicebus-ts
, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open
metadata.json
,
ORIGIN.md
, and the most relevant copied upstream files. Load only the files that materially change the answer, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md
, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

  • @azure-mgmt-apicenter-py
    - Use when the work is better handled by that native specialization after this imported skill establishes context.
  • @azure-mgmt-apimanagement-dotnet
    - Use when the work is better handled by that native specialization after this imported skill establishes context.
  • @azure-mgmt-apimanagement-py
    - Use when the work is better handled by that native specialization after this imported skill establishes context.
  • @azure-mgmt-applicationinsights-dotnet
    - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Resource familyWhat it gives the reviewerExample path
references
copied reference notes, guides, or background material from upstream
references/n/a
examples
worked examples or reusable prompts copied from upstream
examples/n/a
scripts
upstream helper scripts that change execution or validation
scripts/n/a
agents
routing or delegation notes that are genuinely part of the imported package
agents/n/a
assets
supporting assets or schemas copied from the source package
assets/n/a

Imported Reference Notes

Imported: Reference Documentation

For detailed patterns, see:

  • Queues vs Topics Patterns - Queue/topic patterns, sessions, receive modes, message settlement
  • Error Handling and Reliability - ServiceBusError codes, DLQ handling, lock renewal, graceful shutdown

Imported: Authentication

import { ServiceBusClient } from "@azure/service-bus";
import { DefaultAzureCredential } from "@azure/identity";

const fullyQualifiedNamespace = process.env.SERVICEBUS_NAMESPACE!;
const client = new ServiceBusClient(fullyQualifiedNamespace, new DefaultAzureCredential());

Imported: Message Sessions

// Send session message
const sender = client.createSender("session-queue");
await sender.sendMessages({
  body: { step: 1, data: "First step" },
  sessionId: "workflow-123",
});

// Receive session messages
const sessionReceiver = await client.acceptSession("session-queue", "workflow-123");
const messages = await sessionReceiver.receiveMessages(10);

// Get/set session state
const state = await sessionReceiver.getSessionState();
await sessionReceiver.setSessionState(Buffer.from(JSON.stringify({ progress: 50 })));

await sessionReceiver.close();

Imported: Dead-Letter Handling

// Move to dead-letter
await receiver.deadLetterMessage(message, {
  deadLetterReason: "Validation failed",
  deadLetterErrorDescription: "Missing required field: orderId",
});

// Process dead-letter queue
const dlqReceiver = client.createReceiver("my-queue", { subQueueType: "deadLetter" });
const dlqMessages = await dlqReceiver.receiveMessages(10);
for (const msg of dlqMessages) {
  console.log(`DLQ Reason: ${msg.deadLetterReason}`);
  // Reprocess or log
  await dlqReceiver.completeMessage(msg);
}

Imported: Scheduled Messages

const sender = client.createSender("my-queue");

// Schedule for future delivery
const scheduledTime = new Date(Date.now() + 60000); // 1 minute from now
const sequenceNumber = await sender.scheduleMessages(
  { body: "Delayed message" },
  scheduledTime
);

// Cancel scheduled message
await sender.cancelScheduledMessages(sequenceNumber);

Imported: Message Deferral

// Defer message for later
await receiver.deferMessage(message);

// Receive deferred message by sequence number
const deferredMessage = await receiver.receiveDeferredMessages(message.sequenceNumber!);
await receiver.completeMessage(deferredMessage[0]);

Imported: Peek Messages (Non-Destructive)

const receiver = client.createReceiver("my-queue");

// Peek without removing
const peekedMessages = await receiver.peekMessages(10);
for (const msg of peekedMessages) {
  console.log(`Peeked: ${msg.body}`);
}

Imported: Key Types

import {
  ServiceBusClient,
  ServiceBusSender,
  ServiceBusReceiver,
  ServiceBusSessionReceiver,
  ServiceBusMessage,
  ServiceBusReceivedMessage,
  ProcessMessageCallback,
  ProcessErrorCallback,
} from "@azure/service-bus";

Imported: Receive Modes

// Peek-Lock (default) - message locked until completed/abandoned
const receiver = client.createReceiver("my-queue", { receiveMode: "peekLock" });
await receiver.completeMessage(message);   // Remove from queue
await receiver.abandonMessage(message);    // Return to queue
await receiver.deferMessage(message);      // Defer for later
await receiver.deadLetterMessage(message); // Move to DLQ

// Receive-and-Delete - message removed immediately
const receiver = client.createReceiver("my-queue", { receiveMode: "receiveAndDelete" });

Imported: 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.