Best Claude Skills for Cloud & Infrastructure
Claude Code skills for cloud platforms and infrastructure. Deploy to AWS, manage Azure resources, configure GCP, and write Terraform with AI assistance.
384 skills in this category
Discover and install specialized agent skills from the open ecosystem when users need extended capabilities.
Fast, persistent browser automation with session continuity across sequential agent commands.
React and Next.js performance optimization across 70 rules prioritized by impact.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
End-to-end deployment, evaluation, and management of AI agents on Microsoft Foundry.
Systematic diagnosis and remediation for Azure production issues using AppLens, Monitor, and resource health.
Prepare Azure applications for deployment with infrastructure-as-code, configuration, and containerization.
Unified access to Azure AI services: Search, Speech, OpenAI, and Document Intelligence.
Execute Azure deployments for prepared applications with built-in error recovery and validation.
Pre-deployment validation for Azure readiness with configuration, infrastructure, RBAC, and identity checks.
Unified access to Azure blob storage, file shares, queues, tables, and data lake services.
Microsoft Entra ID app registration, OAuth 2.0 configuration, and MSAL integration for secure application authentication.
Guidance and reference material for instrumenting webapps with Azure Application Insights.
Fast discovery and inventory of Azure resources across subscriptions using Resource Graph queries.
Transform Azure resource groups into detailed architecture diagrams showing resource relationships and configurations.
Configure Azure API Management as an AI Gateway for models, MCP tools, and agents with built-in governance policies.
Execute KQL queries and analyze data in Azure Data Explorer for log analytics, telemetry, and time series insights.
Diagnose and resolve Azure Event Hubs and Service Bus SDK issues with structured troubleshooting workflows.
Recommend Azure VM sizes, scale sets, and configurations based on workload requirements and budget.
Assess and migrate cloud workloads from AWS, GCP, and other providers to Azure services.
Check and manage Azure quotas and usage across regions for deployment planning and capacity validation.
Assess and automate upgrades of Azure workloads across plans, tiers, and SKUs.
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FAQ
What are cloud & infrastructure skills?
Cloud & Infrastructure skills are reusable instructions that teach AI agents how to work in cloud & infrastructure workflows. They help agents follow framework conventions, generate better output, and stay aligned with best practices in this domain.
How do I install a cloud & infrastructure skill?
Run the install command shown on each skill page, e.g. `npx skills add owner/repo --skill skill-name`. The skill becomes available in your agent sessions after installation.
Which tools and frameworks are covered?
Browse skills tagged for cloud & infrastructure to find options for popular stacks and libraries. The catalog is community-maintained and updated as new skills are published to GitHub.