Discover Agent Skills for cloud infrastructure. Browse 28 skills for Claude, ChatGPT & Codex.
Audits and validates Vertex AI Agent Engine deployments for security, performance, and production readiness.
Analyzes and optimizes cloud expenditures by identifying cost-saving opportunities across AWS, Azure, and GCP environments.
Automates the creation of production-ready auto-scaling policies and high availability configurations for modern infrastructure.
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.
Deploys production-ready Genkit AI applications using Terraform across Google Cloud Platform services.
Provisions and manages enterprise-grade Vertex AI infrastructure and Gemini model deployments using Terraform.
Automates the creation, deployment, and orchestration of production-grade AI agents using Google Cloud's ADK and Agent Starter Pack.
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.
Orchestrates machine learning workloads across multiple cloud providers with automated cost optimization and spot instance recovery.
Provision and manage high-performance GPU instances on Lambda Labs for machine learning training and inference workloads.
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.
Automates the creation of custom Amazon Machine Images (AMIs) using Packer's EBS builder and HCL templates.
Automates the creation of Azure managed images and Compute Gallery versions using HashiCorp Packer and HCL.
Implements Microsoft's official requirements and best practices for developing certified Azure Terraform modules.
Orchestrates large-scale infrastructure using specialized HashiCorp Terraform Stacks configuration patterns and multi-environment deployment logic.
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.
Manages Cloudflare Workers, KV, R2, D1, and Hyperdrive resources while providing advanced observability and troubleshooting capabilities.
Deploys and manages full-stack applications, serverless functions, and infrastructure on the Cloudflare global network.
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