deploying-on-azure
byancoleman· 58 skills
Design and implement Azure cloud architectures using best practices for compute, storage, databases, AI services, networking, and governance. Use when building applications on Microsoft Azure or migrating workloads to Azure cloud platform.
How to install deploying-on-azure?
ancoleman/ai-design-components/deploying-on-azure
$npx -y skills add ancoleman/ai-design-components --skill deploying-on-azureInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/ancoleman/ai-design-components" --skill "ancoleman/ai-design-components/deploying-on-azure"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/ancoleman/ai-design-components" that are relevant to the current task. Run `npx skills add "https://github.com/ancoleman/ai-design-components"` and select the relevant skills, then follow their instructions.
Related
6 picksType
- azure-storageAzure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake.Jul 2026
- azure-resource-lookupList, find, and show Azure resources across subscriptions or resource groups.Jul 2026
- azure-resource-visualizerAnalyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources.Jul 2026
- azure-computeAzure VM/VMSS router. WHEN: create / provision / deploy / spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight…Jul 2026
- azure-quotasCheck/manage Azure quotas and usage across providers. For deployment planning, capacity validation, region selection.Jul 2026
- azure-upgradeAssess and upgrade Azure workloads between plans, tiers, or SKUs, or modernize Azure SDK dependencies in source code.Jul 2026
