Microsoft Azure
Official@azure · United States of America
APIs, SDKs and open source projects from Microsoft Azure
Agent Skills by Microsoft Azure
Showing 85 vetted skills indexed across 10 GitHub repositories.
Azurecu-sdk-setup
Configure Java environments for Azure AI Content Understanding SDK setup and sample execution.
Azurecu-sdk-common-knowledge
Answers questions about Azure AI Content Understanding concepts, analyzers, and Java SDK usage.
Azurecu-sdk-sample-run
Runs Azure AI Content Understanding Java SDK samples via Maven with interactive environment configuration.
Azureazure-search-documents
Diagnose and fix build errors after regenerating the azure-search-documents Java SDK from TypeSpec.
Azureazsdk-common-sdk-release
Checks release readiness and triggers the Azure SDK release pipeline for prepared packages.
Azurefind-package-skill
Discovers package-specific skill files within SDK package directories before code modifications.
Azurecreate-package-skill
Scaffolds and validates package-specific SKILL.md files for Azure SDK Java packages.
Azureazsdk-common-prepare-release-plan
Create, update, and manage Azure SDK release plan work items via MCP tools.
Azureazsdk-common-apiview-feedback-resolution
Analyzes and resolves APIView review feedback on Azure SDK pull requests using TypeSpec updates.
Azureazsdk-common-patch-mergeback
Prepares merge-back PRs reconciling patch-release version, CHANGELOG, and pom.xml updates into main.
Azureazsdk-common-pipeline-fixer
Automatically fixes Azure SDK CI/CD pipeline failures and verifies fixes locally.
Azureazsdk-common-generate-sdk-locally
Generate, build, and test Azure SDKs locally from TypeSpec with automated customization.
Azureazsdk-common-pipeline-analysis
Diagnose Azure SDK CI/CD pipeline failures into structured root-cause reports.
Azuremanagement-autopr-review
Reviews generated Azure Java management-library AutoPR changes for high-value generation risks.
Azureagentic-workflows
Routes GitHub Agentic Workflows design, create, debug, and upgrade requests to matching prompt files.
Azureazure-functions-common
Provide shared Azure Functions references for runtime, language routing, and trigger/binding extensions.
Azureazure-functions-health-status
Analyze Azure Function App status, metrics, logs, and trigger configurations.
Azureazure-functions-create
Scaffold Azure Functions projects and add triggers via Azure MCP Server tools.
Azureazure-functions-feedback
Create GitHub issues or pull requests from user feedback on Azure Functions skills.
Azureazure-functions-setup
Verify Azure Functions development environment prerequisites and tool versions.
Azureazure-functions-diagnostics
Diagnose Azure Functions deployment failures, runtime errors, and trigger issues.
Azureazure-functions-agents
Create and manage Azure Functions serverless agents for event-driven workflows.
Azureazure-functions-doctor
Analyze local Azure Functions code and configuration for common issues, outputting JSON findings.
Azureazure-functions-deploy
Automate Azure Functions deployment and validation using Azure CLI.
Frequently Asked Questions About Microsoft Azure
FAQPage SchemaWhat specific tasks can engineers perform using these capabilities?▼
Engineers can perform infrastructure drift detection, validate ARM template security, generate Mermaid architecture diagrams, scaffold serverless projects, and execute automated migration mapping from legacy BizTalk environments to modern cloud-native services.
Which personas benefit most from these technical resources?▼
Cloud architects, DevOps engineers, and backend developers focused on Microsoft ecosystem deployments benefit from these resources to manage infrastructure-as-code, containerized workloads, and serverless event-driven architectures.
What are the primary prerequisites for running these deployment operations?▼
Operations require an active subscription, authenticated sessions via standard identity providers, and local installation of the required command-line interfaces for resource management and template validation.