Terraform
SkillCloud & infraUse when managing infrastructure as code with Terraform or OpenTofu. Covers module design, state management, drift, plan review, secrets, and applying changes without destroying production.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Terraform skill
What this skill tells your AI
The instructions your AI receives, as published by nimadorostkar/claude-skills-collection in skills/devops/terraform/SKILL.md and read by ahel’s review.
Purpose
Manage infrastructure declaratively without the two events that define bad Terraform experiences: a plan nobody read that destroyed a database, and a state file that no longer matches reality.
When to Use
- Writing or reviewing Terraform configuration.
- Structuring modules and environments.
- Reviewing a plan before an apply that touches production.
- Recovering from state drift or a corrupted state file.
Capabilities
- Module design with clear inputs, outputs, and versioning.
- Remote state with locking, and workspace or directory-based environment separation.
- Plan review, including recognizing a destructive change before it runs.
- Import and drift reconciliation.
- Secrets handling that keeps values out of state where possible.
Inputs
- The existing configuration and state.
- The target environment and its blast radius.
- The plan output — always read before an apply.
Outputs
- Modules that are reusable and versioned.
- Remote state, locked, encrypted, and backed up.
- A reviewed plan with any resource replacement explicitly acknowledged.
Workflow
- Separate environments physically — Separate state files and separate directories or workspaces. A single state containing dev and prod is one typo away from an incident.
- Write modules with a narrow interface — Inputs that are actually variable, outputs that consumers need. A module with forty variables is a wrapper, not an abstraction.
- Plan and read the plan — Every
-/+is a destroy and recreate. On a database, a load balancer, or anything holding state, that is an outage. Never approve a plan you have not read line by line. - Lock the state — Remote backend with locking (S3 + DynamoDB, or the equivalent). Two concurrent applies against unlocked state will corrupt it.
- Pin everything — Provider versions, module versions, and the Terraform version itself. An unpinned provider will change behavior underneath you on an unrelated day.
- Reconcile drift explicitly — Manual changes happen.
terraform planshows them; decide to import, adopt, or revert. Ignoring drift means the next apply reverts someone's emergency fix.
Best Practices
prevent_destroyon stateful resources — databases, buckets, DNS zones. It converts a catastrophic mistake into an error message.- Never commit
.tfstate. It contains secrets in plaintext, regardless of how they entered. terraform applywithout a saved plan file re-plans, which means what you apply is not necessarily what you reviewed. Useterraform plan -out=tfplanand apply the file.- Avoid
countfor resources that may be reordered; usefor_eachwith a stable key.countreindexes, and reindexing destroys and recreates. - Do not use Terraform to manage application deployment. It is a poor fit for anything that changes more than a few times a day.
- Secrets belong in a secret manager, referenced by ARN or path. Anything passed as a variable ends up in state.
Examples
A module interface that is actually reusable:
# modules/postgres/variables.tf
variable "name" { type = string }
variable "environment" { type = string }
variable "instance_class" { type = string, default = "db.t4g.medium" }
variable "allocated_storage" { type = number, default = 50 }
variable "subnet_ids" { type = list(string) }
# modules/postgres/main.tf
resource "aws_db_instance" "this" {
identifier = "${var.name}-${var.environment}"
engine = "postgres"
engine_version = "16.3"
instance_class = var.instance_class
allocated_storage = var.allocated_storage
storage_encrypted = true
deletion_protection = var.environment == "prod"
backup_retention_period = var.environment == "prod" ? 30 : 1
# Password comes from Secrets Manager; it never appears in a .tfvars file.
manage_master_user_password = true
lifecycle {
prevent_destroy = true # a plan that would destroy this now fails
ignore_changes = [engine_version] # minor upgrades are applied by AWS, not us
}
}
Reading a plan for the change that matters:
# aws_db_instance.this must be replaced
-/+ resource "aws_db_instance" "this" {
~ availability_zone = "eu-west-1a" -> "eu-west-1b" # forces replacement
forces replacement on a database means: destroy the database, create a new empty one. This plan must never be applied. The correct response is to revert the change, not to approve and hope.
Notes
terraform state mvandterraform importare the tools for reconciling reality with configuration. Both are safe operations on the state file — but back the state up first, always.- OpenTofu is a drop-in fork of Terraform 1.5 and diverges gradually. Configuration written for either works on the other today; pin the binary and be explicit about which you use.
- A
terraform destroyin the wrong directory has ended careers.prevent_destroyand separate credentials per environment are cheap insurance.
Signals
- GitHub stars
- 26
- Forks
- 3
- Last commit
- Aug 2026
- Hacker News mentions
- 20
Advanced
- Catalog kind
- skill
- Gateway key
terraform-nimadorostkar- Source
- github.com/nimadorostkar/claude-skills-collection