cloud infrastructure Claude 스킬을 발견하세요. 28개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Implements production-ready Vercel SDK integrations with idiomatic TypeScript and Python patterns.
Optimizes Vercel cloud expenditures through strategic tier selection, usage monitoring, and resource-saving techniques.
Automates the creation and configuration of production-grade Google Cloud Functions using industry-standard patterns.
Analyzes cloud infrastructure usage to identify cost-saving opportunities and generate actionable FinOps reports for AWS, Azure, and GCP.
Automates the development and deployment of production-grade AI agents using the Google Cloud Agent Development Kit (ADK) and Agent Starter Pack.
Provisions production-grade Google Cloud and Firebase infrastructure for Genkit AI applications using Terraform.
Automates the deployment of enterprise-grade Vertex AI infrastructure and Google Cloud machine learning services using Terraform.
Automates database backups and disaster recovery workflows using industry-standard tools and cloud storage integration.
Provisions enterprise-grade Vertex AI Agent Engine infrastructure using Terraform and secure VPC configurations.
Deploys end-to-end Firebase applications integrated with Vertex AI Gemini for secure, scalable, AI-powered backend features.
Analyzes and reduces cloud infrastructure expenditures across AWS, Azure, and GCP by identifying underutilized resources and rightsizing opportunities.
Deploys and orchestrates multi-agent systems on Google Cloud's Vertex AI Agent Engine using the Agent Development Kit (ADK).
Deploys production-ready Genkit AI applications using Terraform across Google Cloud Platform services.
Analyzes and optimizes cloud expenditures by identifying cost-saving opportunities across AWS, Azure, and GCP environments.
Provisions production-grade Vertex AI Agent Engine infrastructure and secure code execution sandboxes using Terraform.
Builds and deploys production-ready generative AI agents using Vertex AI, Gemini models, and Google Cloud infrastructure.
Accesses and generates production-ready Google Cloud code examples from official repositories for AI agents, machine learning, and cloud infrastructure.
Provisions and manages enterprise-grade Vertex AI infrastructure and Gemini model deployments using Terraform.
Analyzes cloud environments to identify cost-saving opportunities, optimize resource utilization, and generate detailed financial reports.
Audits and validates Vertex AI Agent Engine deployments for security, performance, and production readiness.
Automates the creation, deployment, and orchestration of production-grade AI agents using Google Cloud's ADK and Agent Starter Pack.
Automates the creation of production-ready auto-scaling policies and high availability configurations for modern infrastructure.
Generates production-ready, well-documented Terraform modules following industry best practices for infrastructure-as-code development.
Architects and deploys full-stack Firebase applications integrated with Vertex AI Gemini for advanced AI features like RAG systems and vector search.
Provisions and manages secure Vertex AI Agent Engine infrastructure on Google Cloud using Terraform and industry best practices.
Builds and deploys production-grade, containerized AI agents on Google Cloud using the Agent Development Kit (ADK).
Diagnoses and optimizes Windows App and Azure Virtual Desktop connection quality on macOS by analyzing transport protocols and network interference.
Automates the configuration of Google Cloud service accounts and API integrations for seamless calendar synchronization.
Implements standardized AWS cloud architecture patterns for Lambda, DynamoDB, S3, and Infrastructure as Code using CDK and Terraform.
Configures Akka.NET distributed actor systems with .NET Aspire for streamlined local development and production orchestration.
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