Discover Agent Skills for cloud infrastructure. Browse 28skills for Claude, ChatGPT & Codex.
Provisions production-grade Google Cloud and Firebase infrastructure for Genkit AI applications using Terraform.
Deploys end-to-end Firebase applications integrated with Vertex AI Gemini for secure, scalable, AI-powered backend features.
Provisions enterprise-grade Vertex AI Agent Engine infrastructure using Terraform and secure VPC configurations.
Automates database backups and disaster recovery workflows using industry-standard tools and cloud storage integration.
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.
Automates the creation of production-ready auto-scaling policies and high availability configurations for modern infrastructure.
Provisions production-grade Vertex AI Agent Engine infrastructure and secure code execution sandboxes using Terraform.
Analyzes cloud environments to identify cost-saving opportunities, optimize resource utilization, and generate detailed financial reports.
Analyzes and optimizes cloud expenditures by identifying cost-saving opportunities across AWS, Azure, and GCP environments.
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.
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.
Accesses and generates production-ready Google Cloud code examples from official repositories for AI agents, machine learning, and 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.
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.
Deploys and manages machine learning workloads on serverless GPU infrastructure using Python-native configurations.
Configures Station CLI settings for AI providers, coding backends, and agent infrastructure via browser UI or command line.
Deploys and manages serverless Python functions, GPU-accelerated ML models, and high-scale batch processing jobs in the cloud.
Streamlines the development, build process, and deployment of web frontend projects integrated with Tencent CloudBase.
Provides foundational knowledge and best practices for managing Tencent CloudBase infrastructure, including database security, environment configuration, and platform-specific authentication.
Develops and deploys scalable backend services on Tencent CloudBase using containerized or function-based architectures.
Simplifies the configuration and troubleshooting of Azure Model Context Protocol (MCP) integrations within Claude Code.
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