Expert Terraform IaC

VérifiéSûr

Maîtrise de Terraform et OpenTofu pour l'infrastructure as code : conception de modules, gestion d'état, déploiements multi-environnements, backends distants et intégration CI/CD.

Spar Skills Guide Bot
DevOpsAvancé
10/03/2026
Claude CodeCursorWindsurfCopilotCodex
#terraform#opentofu#infrastructure-as-code#state-management#ci-cd

Recommandé pour

Synthèse automatique

Ce skill apporte une expertise en infrastructure as code avec Terraform et OpenTofu, couvrant la conception de modules, la gestion d'état, les environnements multiples, les backends distants, les secrets et l'intégration CI/CD.

Points forts

  • Couvre une large gamme de sujets Terraform : structure de projet, modules réutilisables, backends distants, verrouillage d'état et import de ressources.
  • Propose des stratégies concrètes pour les environnements dev/staging/prod, y compris les workspaces, les répertoires séparés et Terragrunt.
  • Inclut les bonnes pratiques de sécurité et d'automatisation : secrets, IAM, policy as code, GitHub Actions, Atlantis et Terraform Cloud.
  • Donne un exemple de structure de projet et de backend S3 avec verrouillage DynamoDB directement exploitable.

Limites

  • Ne traite pas Pulumi, AWS CDK, Ansible ni les manifestes Kubernetes, comme indiqué explicitement dans la description.
  • L'exemple de code fourni est tronqué et majoritairement orienté AWS ; les spécificités GCP et Azure restent peu détaillées.
  • Suppose une connaissance préalable de Terraform/HCL et des concepts d'infrastructure cloud.
Quand l'utiliser

À utiliser pour concevoir, migrer, déboguer ou automatiser une infrastructure Terraform/OpenTofu, notamment avec des modules, du state distant ou plusieurs environnements.

Quand l'éviter

À éviter pour Pulumi, AWS CDK, Ansible ou la rédaction de manifestes Kubernetes, ou si l'on cherche uniquement des exemples de ressources très spécifiques à un fournisseur.

Analyse de sécurité

Sûr
Score qualité82/100

The content is purely instructional documentation with illustrative HCL/YAML/bash snippets. It contains no executable payloads, no curl|sh piping, no obfuscation, no destructive commands, and no instructions to exfiltrate credentials — the only network-adjacent guidance is OIDC-based AWS auth and remote state backends, which are legitimate. Minor insecure-by-default example patterns (open egress, secret in state) are noted but are not malicious.

Points d'attention
  • •Example code uses open egress (`cidr_blocks = ["0.0.0.0/0"]`) on a security group and pulls a DB password directly from Secrets Manager into a resource argument — both common but worth noting as patterns that land secrets in state; the skill itself does flag 'Secrets in state' as a pitfall.
  • •CI example uses `terraform apply -auto-approve` — standard for artifact-based pipelines, but reduces human review of the apply step.
Comment cette analyse est faite

Exemples

Multi-environment module layout
Design a reusable Terraform module layout for a VPC and EKS cluster with dev, staging, and prod environments, and configure an S3 remote backend with DynamoDB state locking.
Reconcile state drift
My terraform plan shows state drift after someone changed resources manually in the AWS console. Help me reconcile the state safely without destroying or recreating resources.
GitHub Actions plan/apply
Add a GitHub Actions workflow that runs terraform fmt, validate, and plan on pull requests, then applies on merge to main, using OIDC authentication to AWS.

name: terraform-iac-expert description: Terraform and OpenTofu infrastructure as code — module design, state management, multi-environment setups, remote backends, secrets management, CI/CD integration. NOT for Pulumi, CDK, Ansible, or Kubernetes manifests. metadata: category: devops tags:

  • terraform
  • iac
  • infrastructure
  • aws
  • gcp
  • azure
  • opentofu pairs-with:
  • skill: devops-automator reason: Terraform plans and applies run through CI/CD automation pipelines
  • skill: docker-containerization reason: Terraform provisions the infrastructure that Docker containers deploy onto
  • skill: github-actions-pipeline-builder reason: Terraform plan/apply stages are common GitHub Actions workflow steps
  • skill: security-auditor reason: Infrastructure security scanning (tfsec, checkov) is part of Terraform CI validation

Terraform IaC Expert

Overview

Expert in Infrastructure as Code using Terraform and OpenTofu. Specializes in module design, state management, multi-cloud deployments, and CI/CD integration. Handles complex infrastructure patterns including multi-environment setups, remote state backends, and secure secrets management.

When to Use

  • Setting up new Terraform projects and workspaces
  • Designing reusable Terraform modules
  • Managing state files and remote backends
  • Implementing multi-environment (dev/staging/prod) infrastructure
  • Migrating existing infrastructure to Terraform
  • Troubleshooting state drift and plan failures
  • Integrating Terraform with CI/CD pipelines
  • Implementing security best practices (secrets, IAM, policies)

Capabilities

Project Structure

  • Module-based architecture design
  • Workspace vs directory structure strategies
  • Variable and output organization
  • Provider configuration and version constraints
  • Backend configuration for remote state

Module Development

  • Reusable module patterns
  • Input validation and type constraints
  • Output design for module composition
  • Local modules vs registry modules
  • Module versioning and publishing

State Management

  • Remote state backends (S3, GCS, Azure Blob, Terraform Cloud)
  • State locking mechanisms
  • State migration and manipulation
  • Import existing resources
  • Handling state drift

Multi-Environment Patterns

  • Workspace-based environments
  • Directory-based environments
  • Terragrunt for DRY infrastructure
  • Environment-specific variables
  • Promotion workflows

Security

  • Sensitive variable handling
  • IAM role design for Terraform
  • Policy as Code (Sentinel, OPA)
  • Secrets management integration (Vault, AWS Secrets Manager)
  • Least privilege principles

CI/CD Integration

  • GitHub Actions for Terraform
  • Atlantis for PR-based workflows
  • Terraform Cloud/Enterprise
  • Plan/Apply automation
  • Cost estimation integration

Dependencies

Works well with:

  • aws-solutions-architect - AWS resource patterns
  • kubernetes-orchestrator - K8s infrastructure
  • github-actions-pipeline-builder - CI/CD automation
  • site-reliability-engineer - Production infrastructure

Examples

Project Structure

terraform/
├── modules/
│   ├── vpc/
│   │   ├── main.tf
│   │   ├── variables.tf
│   │   └── outputs.tf
│   ├── eks/
│   └── rds/
├── environments/
│   ├── dev/
│   │   ├── main.tf
│   │   ├── variables.tf
│   │   ├── terraform.tfvars
│   │   └── backend.tf
│   ├── staging/
│   └── prod/
└── shared/
    └── provider.tf

Root Module with Locals

# environments/prod/main.tf
terraform {
  required_version = ">= 1.5.0"

  required_providers {
    aws = {
      source  = "hashicorp/aws"
      version = "~> 5.0"
    }
  }

  backend "s3" {
    bucket         = "mycompany-terraform-state"
    key            = "prod/terraform.tfstate"
    region         = "us-west-2"
    encrypt        = true
    dynamodb_table = "terraform-locks"
  }
}

locals {
  environment = "prod"
  project     = "myapp"

  common_tags = {
    Environment = local.environment
    Project     = local.project
    ManagedBy   = "terraform"
  }
}

module "vpc" {
  source = "../../modules/vpc"

  environment = local.environment
  cidr_block  = "10.0.0.0/16"
  tags        = local.common_tags
}

module "eks" {
  source = "../../modules/eks"

  environment       = local.environment
  vpc_id            = module.vpc.vpc_id
  private_subnet_ids = module.vpc.private_subnet_ids
  cluster_version   = "1.29"
  tags              = local.common_tags
}

Reusable Module with Validation

# modules/vpc/variables.tf
variable "environment" {
  type        = string
  description = "Environment name (dev, staging, prod)"

  validation {
    condition     = contains(["dev", "staging", "prod"], var.environment)
    error_message = "Environment must be dev, staging, or prod."
  }
}

variable "cidr_block" {
  type        = string
  description = "VPC CIDR block"

  validation {
    condition     = can(cidrhost(var.cidr_block, 0))
    error_message = "Must be a valid CIDR block."
  }
}

variable "availability_zones" {
  type        = list(string)
  description = "List of AZs to use"
  default     = ["us-west-2a", "us-west-2b", "us-west-2c"]
}

variable "enable_nat_gateway" {
  type        = bool
  description = "Enable NAT Gateway for private subnets"
  default     = true
}

variable "tags" {
  type        = map(string)
  description = "Tags to apply to all resources"
  default     = {}
}

Module with Dynamic Blocks

# modules/security-group/main.tf
resource "aws_security_group" "this" {
  name        = var.name
  description = var.description
  vpc_id      = var.vpc_id

  dynamic "ingress" {
    for_each = var.ingress_rules
    content {
      from_port   = ingress.value.from_port
      to_port     = ingress.value.to_port
      protocol    = ingress.value.protocol
      cidr_blocks = ingress.value.cidr_blocks
      description = ingress.value.description
    }
  }

  egress {
    from_port   = 0
    to_port     = 0
    protocol    = "-1"
    cidr_blocks = ["0.0.0.0/0"]
  }

  tags = merge(var.tags, {
    Name = var.name
  })
}

Remote State Data Source

# Reference another environment's state
data "terraform_remote_state" "shared" {
  backend = "s3"

  config = {
    bucket = "mycompany-terraform-state"
    key    = "shared/terraform.tfstate"
    region = "us-west-2"
  }
}

# Use outputs from shared state
resource "aws_instance" "app" {
  ami           = data.terraform_remote_state.shared.outputs.base_ami_id
  instance_type = "t3.medium"
  subnet_id     = data.terraform_remote_state.shared.outputs.private_subnet_id
}

GitHub Actions CI/CD

# .github/workflows/terraform.yml
name: Terraform

on:
  pull_request:
    paths:
      - 'terraform/**'
  push:
    branches: [main]
    paths:
      - 'terraform/**'

env:
  TF_VERSION: 1.6.0
  AWS_REGION: us-west-2

jobs:
  plan:
    runs-on: ubuntu-latest
    permissions:
      contents: read
      pull-requests: write
      id-token: write  # For OIDC

    steps:
      - uses: actions/checkout@v4

      - name: Configure AWS credentials
        uses: aws-actions/configure-aws-credentials@v4
        with:
          role-to-assume: arn:aws:iam::123456789:role/terraform-github-actions
          aws-region: ${{ env.AWS_REGION }}

      - uses: hashicorp/setup-terraform@v3
        with:
          terraform_version: ${{ env.TF_VERSION }}

      - name: Terraform Init
        working-directory: terraform/environments/prod
        run: terraform init

      - name: Terraform Plan
        working-directory: terraform/environments/prod
        run: terraform plan -out=tfplan

      - name: Upload Plan
        uses: actions/upload-artifact@v4
        with:
          name: tfplan
          path: terraform/environments/prod/tfplan

  apply:
    needs: plan
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/main' && github.event_name == 'push'
    environment: production

    steps:
      - uses: actions/checkout@v4

      - name: Configure AWS credentials
        uses: aws-actions/configure-aws-credentials@v4
        with:
          role-to-assume: arn:aws:iam::123456789:role/terraform-github-actions
          aws-region: ${{ env.AWS_REGION }}

      - uses: hashicorp/setup-terraform@v3
        with:
          terraform_version: ${{ env.TF_VERSION }}

      - name: Download Plan
        uses: actions/download-artifact@v4
        with:
          name: tfplan
          path: terraform/environments/prod

      - name: Terraform Apply
        working-directory: terraform/environments/prod
        run: terraform apply -auto-approve tfplan

Import Existing Resources

# Import existing AWS resource into state
terraform import aws_s3_bucket.existing my-existing-bucket

# Import using for_each key
terraform import 'aws_iam_user.users["alice"]' alice

# Generate configuration from import (Terraform 1.5+)
terraform plan -generate-config-out=generated.tf

Handling Sensitive Values

# Reference secrets from AWS Secrets Manager
data "aws_secretsmanager_secret_version" "db_password" {
  secret_id = "prod/db/password"
}

resource "aws_db_instance" "main" {
  # ... other config ...
  password = data.aws_secretsmanager_secret_version.db_password.secret_string
}

# Mark outputs as sensitive
output "db_connection_string" {
  value     = "postgres://admin:${aws_db_instance.main.password}@${aws_db_instance.main.endpoint}"
  sensitive = true
}

Best Practices

  1. Use remote state - Never store state locally for team projects
  2. Enable state locking - Prevent concurrent modifications
  3. Version pin providers - Use ~> constraints, not >=
  4. Separate environments - Use directories or workspaces, not branches
  5. Module everything reusable - But don't over-abstract
  6. Validate inputs - Use variable validation blocks
  7. Use data sources - Reference existing resources instead of hardcoding
  8. Tag all resources - Apply consistent tags for cost tracking
  9. Review plans carefully - Especially for destroy operations

Common Pitfalls

  • State file conflicts - Multiple people running terraform simultaneously
  • Hardcoded values - Not using variables for environment differences
  • Circular dependencies - Resources depending on each other
  • Missing dependencies - Not using depends_on when implicit deps aren't enough
  • Large state files - Not breaking up large infrastructure
  • Secrets in state - State contains sensitive values, encrypt at rest
  • Provider version drift - Different team members using different versions
  • Not using -target carefully - Can cause drift, use sparingly

Du fichier au premier essai

Le téléchargement contient exactement le contenu affiché sur cette fiche. Cette copie peut différer de la dernière version du dépôt source.

Consulter la source et ses fichiers annexes

Ce téléchargement contient uniquement SKILL.md. Les scripts, références, modèles et dépendances éventuels ne sont pas inclus. Récupérez les fichiers nécessaires depuis la source en conservant leur arborescence avant de poursuivre.

1. Télécharger le fichier

Télécharger SKILL.md

Depuis la racine d’un projet de test, enregistrez le fichier sous .skill-downloads/terraform-iac-expert-mmk3nh69/SKILL.md, ou utilisez la commande suivante. Ce dossier sert à examiner la skill avant son installation.

Commande pour macOS/Linux ou WSL : un shell POSIX et curl sont nécessaires. Sous Windows sans WSL, utilisez le bouton de téléchargement et créez le dossier manuellement.

mkdir -p '.skill-downloads/terraform-iac-expert-mmk3nh69' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/terraform-iac-expert-mmk3nh69/download' --output '.skill-downloads/terraform-iac-expert-mmk3nh69/SKILL.md.part' && mv '.skill-downloads/terraform-iac-expert-mmk3nh69/SKILL.md.part' '.skill-downloads/terraform-iac-expert-mmk3nh69/SKILL.md'

2. Vérifier les prérequis

Lisez SKILL.md avant de l’utiliser. Si le fichier cite des scripts ou services externes, examinez-les et préparez les accès nécessaires dans votre environnement de test.

Extrait original : Dependencies

Works well with:

  • aws-solutions-architect - AWS resource patterns
  • kubernetes-orchestrator - K8s infrastructure
  • github-actions-pipeline-builder - CI/CD automation
  • site-reliability-engineer - Production infrastructure

Les plateformes de la fiche sont des indications du catalogue. Les chemins ci-dessous suivent la documentation des outils ; ils ne prouvent pas que cette skill y a été exécutée. Aucune version minimale de ces outils n’est attestée pour cette fiche.

3. Charger la skill

Après vérification, copiez le dossier complet dans le projet avec l’une des commandes ci-dessous, puis ouvrez une nouvelle session de l’outil. La commande s’arrête si un dossier du même nom existe déjà : comparez les fichiers avant de le remplacer.

Claude Code
test -f '.skill-downloads/terraform-iac-expert-mmk3nh69/SKILL.md' && test -s '.skill-downloads/terraform-iac-expert-mmk3nh69/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/terraform-iac-expert' && cp -R '.skill-downloads/terraform-iac-expert-mmk3nh69' '.claude/skills/terraform-iac-expert'

Cursor
test -f '.skill-downloads/terraform-iac-expert-mmk3nh69/SKILL.md' && test -s '.skill-downloads/terraform-iac-expert-mmk3nh69/SKILL.md' && mkdir -p '.cursor/skills' && test ! -e '.cursor/skills/terraform-iac-expert' && cp -R '.skill-downloads/terraform-iac-expert-mmk3nh69' '.cursor/skills/terraform-iac-expert'

Codex
test -f '.skill-downloads/terraform-iac-expert-mmk3nh69/SKILL.md' && test -s '.skill-downloads/terraform-iac-expert-mmk3nh69/SKILL.md' && mkdir -p '.agents/skills' && test ! -e '.agents/skills/terraform-iac-expert' && cp -R '.skill-downloads/terraform-iac-expert-mmk3nh69' '.agents/skills/terraform-iac-expert'

OpenSkills

OpenSkills doit déjà être installé. La procédure locale install/read est contrôlée avec OpenSkills 1.5.0, qui exige Node.js ≥ 20.6.0. Aucun slug du catalogue n’est résolu automatiquement.

Installation officielle d’OpenSkills
openskills install './.skill-downloads/terraform-iac-expert-mmk3nh69'

openskills read 'terraform-iac-expert-mmk3nh69'

La lecture doit afficher le contenu du fichier installé et son dossier de base. Elle ne lance ni la skill ni ses dépendances.

Pour un agent qui lit AGENTS.md, synchronisez ensuite l’index. Cette commande modifie AGENTS.md : relisez le diff avant de l’utiliser.

openskills sync

Mode manuel ou autre outil : joignez SKILL.md à une conversation, ou ouvrez-le dans un agent capable de lire les fichiers. Ajoutez les ressources annexes nécessaires. Il n’existe pas de dossier universel reconnu par tous les outils.

4. Faire un premier essai

Utilisez une entrée courte et fictive : un endpoint d’API, un petit document ou un brief d’interface. Dans une nouvelle conversation, joignez le fichier ou donnez son chemin à l’agent, puis adaptez cette demande :

Lis .skill-downloads/terraform-iac-expert-mmk3nh69/SKILL.md et applique ses instructions à cet exemple : [décrire une entrée de test]. Indique les fichiers, dépendances ou accès qui manquent. Produis le résultat demandé par la skill sans inventer de données ni exécuter de script non examiné.

Résultat attendu : une sortie correspondant aux instructions de la skill, ou une liste précise des prérequis manquants. Une simple confirmation de lecture ne valide pas le premier usage. Si une ressource externe est indisponible, ce parcours reste à tester.

Skills similaires