azure-skills
Microsoft's official agent plugin for Azure brings first-party support for Azure development scenarios directly into AI coding agents — removing guesswork ab…
Microsoft's official Azure plugin for coding agents, shipping three layers in one install: curated Azure skills (prepare/validate/deploy, diagnostics, cost, compliance, RBAC, AKS, and more), the Azure MCP Server with 200+ tools across 40+ Azure services, and Foundry MCP for model discovery and deployment. Works across Claude Code, GitHub Copilot, Cursor, Codex, Gemini CLI, and other compatible hosts.
- Configure Azure services through AI-assisted workflows
- Generate Azure-native code with correct SDK patterns
- Deploy and manage Azure resources from your coding agent
Microsoft's official agent plugin for Azure brings first-party support for Azure development scenarios directly into AI coding agents — removing guesswork about authentication, SDK usage, and service configuration.
Enterprise development teams building on Azure who need AI agents that understand Azure services, authentication, and deployment patterns natively.
https://github.com/microsoft/azure-skills
By microsoft
How to Get It
/plugin install azure@claude-plugins-official
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Help me configure Azure services through AI-assisted workflows
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- PSA: new azure blue skill style for gold — Reddit · 209 pts
- What is the most underrated skill an Azure engineer must know? — Reddit · 142 pts
- Passed Microsoft Applied Skills: Secure storage for Azure Files and Azure Blob S — Reddit · 16 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 626 GitHub stars; 11 contributors; last commit 37d ago; license MIT.
Things to check
- Recently discovered. Looks promising but has limited community feedback so far.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 626 GitHub stars; 11 contributors; last commit 37d ago; license MIT.