Can it help me manage cloud costs?

Absolutely. The skill generates cost estimates based on your architecture and can be configured with constraints to prioritize cost-optimization, such as using Spot instances or serverless scaling.

What cloud providers does the Research to Deploy skill support?

It supports major cloud providers including AWS, Google Cloud Platform (GCP), and Microsoft Azure, as well as PaaS providers like Railway, Fly.io, and Render.

Does this skill provide real-time cloud documentation updates?

Yes, it uses WebSearch and WebFetch tools to research current best practices, ensuring your deployment configurations reflect the latest provider updates and security recommendations.

What files does the skill generate?

It produces a structured set of artifacts including Terraform modules (.tf), Dockerfiles, Kubernetes manifests, CI/CD pipelines (like GitHub Actions), and detailed Markdown runbooks.

Research to Deploy

Name: Research to Deploy
Author: micsapp

bymicsapp

0•

Cloud Infrastructure

Automates cloud infrastructure research and generates production-ready deployment configurations for AWS, GCP, and Azure.

This skill bridges the gap between architectural research and implementation by automating the creation of secure, cost-optimized cloud infrastructure. It performs real-time searches for the latest provider best practices and synthesizes them into actionable Infrastructure as Code (IaC), including Terraform modules, Dockerfiles, Kubernetes manifests, and CI/CD pipelines. It is an essential tool for developers and DevOps engineers who need to move from local development to production-grade cloud environments quickly while ensuring compliance with current industry standards and security hardening techniques.

Key Features

01Generates production-grade IaC including Terraform modules, Dockerfiles, and K8s manifests

02Integrated security hardening and cost-optimization annotations for all generated resources

03Multi-cloud support including AWS, GCP, Azure, and PaaS platforms like Fly.io and Railway

04Comprehensive output including CI/CD workflows, monitoring setups, and step-by-step runbooks

05Automated best-practice research via real-time web searching for latest cloud documentation

060 GitHub stars

Use Cases

01Provisioning a production-ready AWS ECS Fargate cluster using Terraform and Fargate Spot for cost savings

02Deploying a containerized Node.js API to GCP Cloud Run with optimized scaling and IAM settings

03Setting up a HIPAA-compliant AKS cluster on Azure with integrated monitoring and RBAC

Key Features

01Generates production-grade IaC including Terraform modules, Dockerfiles, and K8s manifests

02Integrated security hardening and cost-optimization annotations for all generated resources

03Multi-cloud support including AWS, GCP, Azure, and PaaS platforms like Fly.io and Railway

04Comprehensive output including CI/CD workflows, monitoring setups, and step-by-step runbooks

05Automated best-practice research via real-time web searching for latest cloud documentation

060 GitHub stars

Use Cases

01Provisioning a production-ready AWS ECS Fargate cluster using Terraform and Fargate Spot for cost savings

02Deploying a containerized Node.js API to GCP Cloud Run with optimized scaling and IAM settings

03Setting up a HIPAA-compliant AKS cluster on Azure with integrated monitoring and RBAC