How does this skill improve my existing DevOps workflow?

This skill replaces manual scripting with production-hardened patterns for AWS and Kubernetes, specifically solving issues like configuration drift, insecure IAM policies, and brittle CI/CD pipelines.

Which cloud providers and infrastructure tools are supported?

It is optimized for AWS-centric environments using EKS and RDS, and requires a GitOps-based workflow using tools like ArgoCD, Terraform, and Helm.

Which AI agents are compatible with this skill?

The skill is designed to integrate with major AI coding assistants and agents that support custom system prompts or technical instruction sets, enabling them to act as a senior DevOps architect.

What specific assets are included in this skill package?

You receive a comprehensive suite of architectural constraints, multi-point validation checklists, and structural scaffolding templates for Terraform and Helm.

How does this skill handle security and least-privilege access compared to generic AI prompts?

Unlike basic prompts that often suggest insecure defaults, this skill mandates strict security standards such as IAM Roles for Service Accounts (IRSA), private subnet isolation, and digest-pinned container images.

Can I use this skill if I don't use a GitOps deployment model?

No, this skill is strictly designed for declarative, pull-based GitOps models (like ArgoCD) and does not support imperative 'kubectl' or manual deployment workflows.

Production Infrastructure & DevOps

Example session with this skill installed

Set up a new staging environment for our API with a Postgres database. Follow our infrastructure standards.

Read your context and instructions
Compiled the production infrastructure

Summary

Plan for a new staging environment, built from existing modules with only the differences declared. Example output; names are illustrative.

What the agent decided

Area	Decision	Why
Terraform	New live directory `staging/api`, modules pinned by git ref	One directory is one state, no local module paths
Database	Managed Postgres from the data module, deletion protection on	Stateful things stay in Terraform
Connection facts	Published to the parameter store	Apps read scoped credentials, never raw secrets in git
Kubernetes	Stateless API only, deployed by an ArgoCD Application	The cluster holds no databases
Secrets	External Secrets maps parameter store paths to a Secret	Nothing secret in values files
Image tag	`<code-version>-<config-hash>`	Immutable and traceable

Layered config, only the differences


# environments/staging/api.yaml
replicas: 2
resources:
  requests: { cpu: 250m, memory: 512Mi }

Checks before merge

Helm values pass JSON schema validation in CI
Terraform plan shows no destroy on stateful resources
All images pinned by tag and digest

Rollback

git revert the release commit. ArgoCD reconciles back, nothing is pushed by hand.

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

About this skill

Infrastructure you can review, repeat and roll back

This skill gives your agent the rules behind a well-run AWS and Kubernetes platform, so the Terraform, Helm and CI it writes is consistent, pinned and safe to change. It reads like a platform team's handbook, with the reasons included.

How it helps

Clean structure. A versioned modules repo consumed by thin live configs, where one directory is one state.
Stateful in Terraform, stateless in Kubernetes. Databases, caches, queues and search stay in Terraform. The cluster runs only stateless workloads.
GitOps that is easy to undo. ArgoCD pulls from git, CI holds no cluster credentials, and rollback is git revert.
Secrets stay out of git. A parameter store plus External Secrets, with only references in repos and images.
Repeatable releases. Everything is version pinned, and image tags are content addressed (code version plus config hash).
Fewer surprises. Validation in Terraform, schema checks for Helm values, multi-stage Docker images and cached CI pipelines.

What's inside

A short SKILL.md with the principles, plus 6 reference guides: Terraform and IaC, networking and compute, Kubernetes with Helm and GitOps, data and edge and secrets, Docker and CI/CD, and observability and disaster recovery.

Use it when

Writing or reviewing Terraform modules or live config, VPC and IAM and EKS setup, Helm or ArgoCD apps, secrets wiring, DNS and certificates, Dockerfiles, CI/CD workflows, or planning a new service or environment.

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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Production Infrastructure & DevOps