.github/plugins/azure-sdk-rust/skills/azure-storage-blob-rust/SKILL.md
Azure Blob Storage SDK for Rust. Use for uploading, downloading, and managing blobs and containers. Triggers: "blob storage rust", "BlobClient rust", "upload blob rust", "download blob rust", "container rust".
npx skillsauth add microsoft/skills azure-storage-blob-rustInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Client library for Azure Blob Storage — Microsoft's object storage solution for the cloud.
cargo add azure_storage_blob azure_identity
AZURE_STORAGE_ACCOUNT_NAME=<storage-account-name>
# Endpoint: https://<account>.blob.core.windows.net/
use azure_identity::DeveloperToolsCredential;
use azure_storage_blob::{BlobClient, BlobClientOptions};
let credential = DeveloperToolsCredential::new(None)?;
let blob_client = BlobClient::new(
"https://<account>.blob.core.windows.net/",
"container-name",
"blob-name",
Some(credential),
Some(BlobClientOptions::default()),
)?;
| Client | Purpose |
|--------|---------|
| BlobServiceClient | Account-level operations, list containers |
| BlobContainerClient | Container operations, list blobs |
| BlobClient | Individual blob operations |
use azure_core::http::RequestContent;
let data = b"hello world";
blob_client
.upload(
RequestContent::from(data.to_vec()),
false, // overwrite
u64::try_from(data.len())?,
None,
)
.await?;
let response = blob_client.download(None).await?;
let content = response.into_body().collect_bytes().await?;
println!("Content: {:?}", content);
let properties = blob_client.get_properties(None).await?;
println!("Content-Length: {:?}", properties.content_length);
blob_client.delete(None).await?;
use azure_storage_blob::BlobContainerClient;
let container_client = BlobContainerClient::new(
"https://<account>.blob.core.windows.net/",
"container-name",
Some(credential),
None,
)?;
// Create container
container_client.create(None).await?;
// List blobs
let mut pager = container_client.list_blobs(None)?;
while let Some(blob) = pager.try_next().await? {
println!("Blob: {}", blob.name);
}
DeveloperToolsCredential for dev, ManagedIdentityCredential for productionRequestContent::from() — to wrap upload datatokio runtimeFor Entra ID auth, assign one of these roles:
Storage Blob Data Reader — read-onlyStorage Blob Data Contributor — read/writeStorage Blob Data Owner — full access including RBAC| Resource | Link | |----------|------| | API Reference | https://docs.rs/azure_storage_blob | | Source Code | https://github.com/Azure/azure-sdk-for-rust/tree/main/sdk/storage/azure_storage_blob | | crates.io | https://crates.io/crates/azure_storage_blob |
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".