How does this kit differ from just asking a standard AI to write AWS code?

This skill generates production-ready code (Terraform, CloudFormation, or CDK) that enforces strict AWS Well-Architected principles, such as encrypted S3 buckets and budget alarms, which generic prompts often overlook.

What specific Infrastructure as Code (IaC) formats can this skill generate?

The kit supports Terraform (HCL), CloudFormation (YAML), and AWS CDK (TypeScript), allowing you to choose the Infrastructure as Code (IaC) tool that best fits your existing workflow.

Does the skill provide documentation on how to deploy the generated infrastructure?

Yes, every deployment generated by the skill includes four essential files: the primary code, a deployment guide, validation steps, and a troubleshooting manual to ensure a smooth implementation.

Can I use this skill to manage multi-cloud environments or non-AWS resources?

The skill focuses exclusively on AWS services, including serverless (Lambda, Bedrock), containerized (Fargate), and traditional database (RDS) environments, and does not support Azure or Google Cloud.

Which AI agents or models do I need to run these modular prompts?

This skill is compatible with any AI agent or LLM capable of processing structured prompts; simply input your requirements into your preferred interface to start the modular generation process.

What exactly is included in the Cloud Starter Kit purchase?

The skill includes 10 specialized prompt modules covering security baselines, cost management, serverless backends, RAG chatbot scaffolding, and database reliability.

AWS Cloud Starter Kit

Example session with this skill installed

I just created a brand-new AWS account for my startup. Set up a production security baseline and keep my monthly bill under control. Give me the code, how to deploy it, and how to verify it.

Read your context and instructions
Compiled the aws cloud starter

Goal restated

Harden a fresh AWS account and add cost guardrails. Services created: CloudTrail, GuardDuty, AWS Config, IAM password policy, an encrypted S3 log bucket, AWS Budgets, Cost Anomaly Detection, and an SNS topic for notifications.

What gets deployed

CloudTrail — multi-region trail, log file validation on, delivery to a dedicated S3 bucket with SSE-KMS and access logging enabled.
2. GuardDuty — enabled in every region, with auto-enable for new regions.
3.

AWS Config — recording all resource types, delivering to a centralized S3 bucket, with the baseline rule s3-bucket-public-read-prohibited.
4.

IAM — account password policy: 14 characters minimum, rotation at 90 days, reuse prevention of 24, MFA required for console users.
5.

Budgets — $200 monthly cost budget with SNS email alerts at 50%, 80% and 100%; CloudWatch cost anomaly detection wired to the same topic.
6. Tagging — every resource tagged Project=StartupBackend and Environment=Prod.

Deliverables

main.tf, variables.tf, outputs.tf — full Terraform, no placeholders. The account ID and alert email are variables, never hardcoded.
DEPLOY.md — terraform init, plan, apply, plus the prerequisite of confirming the SNS subscription email or alerts silently never arrive.
VALIDATE.md — CLI checks: aws cloudtrail get-trail-status, aws guardduty list-detectors, aws configservice describe-configuration-recorders, aws budgets describe-budget.
TROUBLESHOOT.md — the three failures that actually happen: S3 bucket policy rejecting CloudTrail in a locked-down org, GuardDuty failing in opt-in regions, and Config recorder stalling on unsupported resource types.

Why it matters

Order of operations is the whole trick here: CloudTrail and the log bucket must exist before Config, or the recorder has nowhere to deliver. Each control is explained once, in plain language, so you can defend it in a security review.

DEPLOY.md

Connects securely to your tools. The creator never sees your data.

About this skill

Cloud Starter Kit is a set of ten modular, production-grade prompts for putting a startup on AWS properly — instead of one giant unmaintainable block of instructions.

The problem it solves

A startup founder opens a fresh AWS account and immediately faces two expensive mistakes: an account with no security baseline, and a bill nobody is watching. Most prompt collections answer this with a single wall of text that the agent half-follows. This kit is modular: you load only the bricks your workload needs.

What's inside (10 prompts)

Security — new-account security baseline (CloudTrail, GuardDuty, Config, IAM password policy), least-privilege IAM policy generator with no wildcard resources, security group change audit trail
Cost — budget alerts plus cost anomaly detection, ECS Fargate Spot migration for 60-70% savings, S3 + CloudFront static hosting
Deployment — one-click serverless backend (API Gateway + Lambda + DynamoDB), centralized multi-account logging, RDS backup with automated restore testing, a RAG chatbot on Bedrock + OpenSearch Serverless

How every prompt is structured (CLEAR)

Context, List of AWS services, Expect (the deliverable), Action (step-by-step), Recover (troubleshooting). Each one asks the agent for four artifacts: the infrastructure code, a DEPLOY.md, a VALIDATE.md, and a TROUBLESHOOT.md.

Guardrails baked in

S3 public access blocked, encryption on, secrets in Secrets Manager, least-privilege IAM with a permission boundary on every service role, explicit log retention, and consistent resource tagging. The skill also instructs the agent never to run terraform apply or cdk deploy without explicit confirmation.

Who it's for

Startup founders and solo developers who need enterprise-grade cloud hygiene without an enterprise-grade platform team. MIT licensed; original prompts are open on GitHub and this skill packages them into the SKILL.md standard.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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AWS Cloud Starter Kit