发现cloud infrastructure类别的 Claude 技能。浏览 28 个技能,找到适合您 AI 工作流程的完美功能。
Implements production-ready Vercel SDK integrations with idiomatic TypeScript and Python patterns.
Manages Vercel API rate limits, backoff strategies, and idempotency patterns to ensure reliable request throughput.
Automates the creation and configuration of production-grade Google Cloud Functions using industry-standard patterns.
Automates the development and deployment of production-grade AI agents using the Google Cloud Agent Development Kit (ADK) and Agent Starter Pack.
Automates database backups and disaster recovery workflows using industry-standard tools and cloud storage integration.
Deploys and orchestrates multi-agent systems on Google Cloud's Vertex AI Agent Engine using the Agent Development Kit (ADK).
Analyzes cloud infrastructure usage to identify cost-saving opportunities and generate actionable FinOps reports for AWS, Azure, and GCP.
Analyzes and reduces cloud infrastructure expenditures across AWS, Azure, and GCP by identifying underutilized resources and rightsizing opportunities.
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.
Automates the deployment of enterprise-grade Vertex AI infrastructure and Google Cloud machine learning services using Terraform.
Provisions production-grade Google Cloud and Firebase infrastructure for Genkit AI applications using Terraform.
Analyzes cloud environments to identify cost-saving opportunities, optimize resource utilization, and generate detailed financial reports.
Provisions production-grade Vertex AI Agent Engine infrastructure and secure code execution sandboxes using Terraform.
Automates the creation of production-ready auto-scaling policies and high availability configurations for modern infrastructure.
Provisions and manages enterprise-grade Vertex AI infrastructure and Gemini model deployments using Terraform.
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.
Analyzes and optimizes cloud expenditures by identifying cost-saving opportunities across AWS, Azure, and GCP environments.
Accesses and generates production-ready Google Cloud code examples from official repositories for AI agents, machine learning, and cloud infrastructure.
Deploys production-ready Genkit AI applications using Terraform across Google Cloud Platform services.
Builds and deploys production-ready generative AI agents using Vertex AI, Gemini models, and Google Cloud infrastructure.
Generates production-ready, well-documented Terraform modules following industry best practices for infrastructure-as-code development.
Provisions and manages secure Vertex AI Agent Engine infrastructure on Google Cloud using Terraform and industry best practices.
Architects and deploys full-stack Firebase applications integrated with Vertex AI Gemini for advanced AI features like RAG systems and vector search.
Builds and deploys production-grade, containerized AI agents on Google Cloud using the Agent Development Kit (ADK).
Automates the configuration of Google Cloud service accounts and API integrations for seamless calendar synchronization.
Deploys and manages machine learning workloads on serverless GPU infrastructure using Python-native configurations.
Provision and manage high-performance GPU instances on Lambda Labs for machine learning training and inference workloads.
Orchestrates machine learning workloads across multiple cloud providers with automated cost optimization and spot instance recovery.
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