.github/plugins/azure-sdk-rust/skills/azure-eventhub-rust/SKILL.md
Azure Event Hubs SDK for Rust. Use for sending and receiving events, streaming data ingestion. Triggers: "event hubs rust", "ProducerClient rust", "ConsumerClient rust", "send event rust", "streaming rust".
npx skillsauth add microsoft/skills azure-eventhub-rustInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Client library for Azure Event Hubs — big data streaming platform and event ingestion service.
cargo add azure_messaging_eventhubs azure_identity
EVENTHUBS_HOST=<namespace>.servicebus.windows.net
EVENTHUB_NAME=<eventhub-name>
use azure_identity::DeveloperToolsCredential;
use azure_messaging_eventhubs::ProducerClient;
let credential = DeveloperToolsCredential::new(None)?;
let producer = ProducerClient::builder()
.open("<namespace>.servicebus.windows.net", "eventhub-name", credential.clone())
.await?;
producer.send_event(vec![1, 2, 3, 4], None).await?;
let batch = producer.create_batch(None).await?;
batch.try_add_event_data(b"event 1".to_vec(), None)?;
batch.try_add_event_data(b"event 2".to_vec(), None)?;
producer.send_batch(batch, None).await?;
use azure_messaging_eventhubs::ConsumerClient;
let credential = DeveloperToolsCredential::new(None)?;
let consumer = ConsumerClient::builder()
.open("<namespace>.servicebus.windows.net", "eventhub-name", credential.clone())
.await?;
// Open receiver for specific partition
let receiver = consumer.open_partition_receiver("0", None).await?;
// Receive events
let events = receiver.receive_events(100, None).await?;
for event in events {
println!("Event data: {:?}", event.body());
}
let properties = consumer.get_eventhub_properties(None).await?;
println!("Partitions: {:?}", properties.partition_ids);
let partition_props = consumer.get_partition_properties("0", None).await?;
println!("Last sequence number: {}", partition_props.last_enqueued_sequence_number);
try_add_event_data returns false when fullazure_messaging_eventhubs_checkpointstore_blob for distributed consumersFor distributed consumers with checkpointing:
cargo add azure_messaging_eventhubs_checkpointstore_blob
| Resource | Link | |----------|------| | API Reference | https://docs.rs/azure_messaging_eventhubs | | Source Code | https://github.com/Azure/azure-sdk-for-rust/tree/main/sdk/eventhubs/azure_messaging_eventhubs | | crates.io | https://crates.io/crates/azure_messaging_eventhubs |
tools
KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph). USE THIS SKILL whenever writing, debugging, or reviewing KQL queries — even simple ones — because the gotchas section prevents the most common errors that waste tool calls and cause expensive retry cascades. Trigger on: KQL, Kusto, ADX, Azure Data Explorer, Fabric Real-Time Intelligence, EventHouse, Log Analytics, log analysis, data exploration, time series, anomaly detection, summarize, where clause, join, extend, project, let statement, parse operator, extract function, any mention of pipe-forward query syntax.
development
Deploy, evaluate, and manage Foundry agents end-to-end: Docker build, ACR push, hosted/prompt agent create, container start, batch eval, prompt optimization, prompt optimizer workflows, agent.yaml, dataset curation from traces. USE FOR: deploy agent to Foundry, hosted agent, create agent, invoke agent, evaluate agent, run batch eval, optimize prompt, improve prompt, prompt optimization, prompt optimizer, improve agent instructions, optimize agent instructions, optimize system prompt, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, create dataset from traces, dataset versioning, eval trending, create AI Services, Cognitive Services, create Foundry resource, provision resource, knowledge index, agent monitoring, customize deployment, onboard, availability. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).
testing
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.
testing
Check/manage Azure quotas and usage across providers. For deployment planning, capacity validation, region selection. WHEN: "check quotas", "service limits", "current usage", "request quota increase", "quota exceeded", "validate capacity", "regional availability", "provisioning limits", "vCPU limit", "how many vCPUs available in my subscription".