Terraform

SkillCloud & infra

Use 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.

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

  1. 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.
  2. 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.
  3. 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.
  4. Lock the state — Remote backend with locking (S3 + DynamoDB, or the equivalent). Two concurrent applies against unlocked state will corrupt it.
  5. Pin everything — Provider versions, module versions, and the Terraform version itself. An unpinned provider will change behavior underneath you on an unrelated day.
  6. Reconcile drift explicitly — Manual changes happen. terraform plan shows them; decide to import, adopt, or revert. Ignoring drift means the next apply reverts someone's emergency fix.

Best Practices

  • prevent_destroy on 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 apply without a saved plan file re-plans, which means what you apply is not necessarily what you reviewed. Use terraform plan -out=tfplan and apply the file.
  • Avoid count for resources that may be reordered; use for_each with a stable key. count reindexes, 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 mv and terraform import are 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 destroy in the wrong directory has ended careers. prevent_destroy and separate credentials per environment are cheap insurance.

Signals

GitHub stars
26
Forks
3
Last commit
Aug 2026
Hacker News mentions
20
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skill
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terraform-nimadorostkar
Source
github.com/nimadorostkar/claude-skills-collection