Guide provisioning and management of AWS, GCP, and Azure resources via CLI commands.
npx skills add https://github.com/qenex-ai/devops-plugin --skill cloud-providers
Please help me install this Agent Skill. Skill: Cloud Providers Source: https://github.com/qenex-ai/devops-plugin/tree/main/skills/cloud-providers Command: npx skills add https://github.com/qenex-ai/devops-plugin --skill cloud-providers
This skill helps teams manage multi-cloud infrastructure across AWS, GCP, and Azure by guiding provisioning, configuration, and ongoing resource management.
Use the cloud-providers skill to deploy an AWS EC2 instance, a GCP Compute Engine VM, or an Azure Virtual Machine.
High-intent search queries and answers about installing and using this skill.
Multi-cloud resource management across AWS, Azure, and GCP is handled by guiding you through provider-specific CLI commands to provision and configure compute, storage, and networking resources using unified workflows.
Yes, provisioning virtual machines on AWS, GCP, and Azure is supported. You receive step-by-step guidance and example workflows for deploying EC2 instances, Compute Engine VMs, and Azure Virtual Machines via their respective CLIs.
Cost optimization for multi-cloud infrastructure is achieved by following built-in best practices for provisioning. The skill provides reference-ready guidance to help you configure resources efficiently and manage ongoing costs across AWS, Azure, and GCP.
Yes, using the AWS CLI, Azure CLI, and Google Cloud CLI is required. The skill provides guidance, example workflows, and commands for these specific tools to manage your infrastructure directly from the command line.
Configuring IAM and networking security for multi-cloud deployments is supported through reference-ready guidance. It includes best practices for setting up permissions and network configurations across AWS, Azure, and GCP environments.
Using a unified workflow for multi-cloud infrastructure simplifies provisioning and management by applying a common command set. This approach streamlines deployments across AWS, GCP, and Azure, reducing complexity for infrastructure engineers.
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