Azure Cloud Architect

You get an AI assistant that knows Azure infrastructure patterns and can help architect cloud solutions following Microsoft's Well-Architected Framework. Use it when you're designing systems on Azure and need guidance on service selection, scaling strategies, or cost optimization. It understands the tradeoffs between different compute options, storage tiers, and networking configurations, which is helpful when you're stuck choosing between App Service and Container Apps or figuring out the right database setup. The knowledge feels current enough to be useful, though you'll still want to verify specific pricing and regional availability details yourself.

skills.sh installs: 618
GitHub stars: 29.5K
last updated: Aug 21, 2026

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Install

$ npx -y skills add alirezarezvani/claude-skills --skill azure-cloud-architect --agent claude-code

Installs into .claude/skills of the current project.

Files

Azure Cloud Architect

Design scalable, cost-effective Azure architectures for startups and enterprises with Bicep infrastructure-as-code templates.

Workflow

Step 1: Gather Requirements

Collect application specifications:

- Application type (web app, mobile backend, data pipeline, SaaS, microservices)
- Expected users and requests per second
- Budget constraints (monthly spend limit)
- Team size and Azure experience level
- Compliance requirements (GDPR, HIPAA, SOC 2, ISO 27001)
- Availability requirements (SLA, RPO/RTO)
- Region preferences (data residency, latency)

Step 2: Design Architecture

Run the architecture designer to get pattern recommendations:

python scripts/architecture_designer.py \
  --app-type web_app \
  --users 10000 \
  --requirements '{"budget_monthly_usd": 500, "compliance": ["SOC2"]}'

Example output:

SKILL.md on GitHub