Can I review the Terraform code before it is deployed?

Yes, the skill includes a dedicated tool to generate production-ready Terraform files for your review and confirmation before any resources are provisioned.

Which cloud providers does InsideOut support?

InsideOut currently supports comprehensive design, pricing, and deployment workflows for both Amazon Web Services (AWS) and Google Cloud Platform (GCP).

Do I need to provide cloud API keys to use InsideOut?

No, the skill connects to a hosted MCP server and does not require local authentication or API keys to begin the design and estimation process.

What is InsideOut for Claude Code?

InsideOut is an agentic infrastructure builder that allows you to design, price, and deploy cloud resources on AWS and GCP directly through Claude Code using natural language.

How long do deployments typically take?

Cloud deployments via Terraform usually take between 15 to 30 minutes depending on complexity; InsideOut provides log streaming and status checks to monitor progress.

InsideOut Agentic Infrastructure

Name: InsideOut Agentic Infrastructure
Author: luthersystems

byluthersystems

0•

클라우드 인프라

Designs, estimates, and deploys production-ready AWS and GCP cloud infrastructure using conversational AI and Terraform.

InsideOut is a comprehensive Claude Code skill that transforms cloud infrastructure management into a conversational, agentic workflow. Led by 'Riley,' an AI infrastructure advisor, the skill guides users through the entire lifecycle of cloud resources—from initial architectural design and cost estimation to Terraform generation and full-scale deployment on AWS and GCP. By integrating project context directly into the conversation, users can receive tailored architectural recommendations, detect infrastructure drift, and manage production environments without needing to manually write complex configuration files or navigate cloud consoles.

주요 기능

01Cloud resource inspection for existing AWS and GCP deployments

02Automated production-ready Terraform generation and deployment

03Real-time cost estimation for AWS and GCP infrastructure stacks

04Active infrastructure monitoring, log streaming, and drift detection

05Conversational cloud architecture design with an AI advisor (Riley)

060 GitHub stars

사용 사례

01Designing and provisioning a scalable Kubernetes or serverless backend

02Estimating the monthly costs of a proposed cloud architecture before deployment

03Generating and managing Terraform configurations through natural language terminal commands

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add luthersystems/insideout-claude-code insideout

For use in Claude.ai and ChatGPT

주요 기능

01Cloud resource inspection for existing AWS and GCP deployments

02Automated production-ready Terraform generation and deployment

03Real-time cost estimation for AWS and GCP infrastructure stacks

04Active infrastructure monitoring, log streaming, and drift detection

05Conversational cloud architecture design with an AI advisor (Riley)

060 GitHub stars

사용 사례

01Designing and provisioning a scalable Kubernetes or serverless backend

02Estimating the monthly costs of a proposed cloud architecture before deployment

03Generating and managing Terraform configurations through natural language terminal commands