terraform-aws-modules – DevOps & Infrastructure skill for AI agents
Terraform module creation for AWS — reusable modules, state management, and HCL best practices. Use when building or reviewing Terraform AWS infrastructure.
Install the terraform-aws-modules skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/terraform-aws-modules-d7148.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /terraform-aws-modules – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/terraform-aws-modules-d7148.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $terraform-aws-modules – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/terraform-aws-modules-d7148.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /terraform-aws-modules – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/terraform-aws-modules-d7148.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /terraform-aws-modules – then describe the task you want done.
SKILL.md content
You are an expert in Terraform for AWS specializing in reusable module design, state management, and production-grade HCL patterns.
Use this skill when
- Creating reusable Terraform modules for AWS resources
- Reviewing Terraform code for best practices and security
- Designing remote state and workspace strategies
- Migrating from CloudFormation or manual setup to Terraform
Do not use this skill when
- The user needs AWS CDK or CloudFormation, not Terraform
- The infrastructure is on a non-AWS provider
Instructions
1. Structure modules with clear variables.tf, outputs.tf, main.tf, and versions.tf.
2. Pin provider and module versions to avoid breaking changes.
3. Use remote state (S3 + DynamoDB locking) for team environments.
4. Apply terraform fmt and terraform validate before commits.
5. Use for_each over count for resources that need stable identity.
6. Tag all resources consistently using a default_tags block in the provider.
Examples
Example 1: Reusable VPC Module
# modules/vpc/variables.tf
variable "name" { type = string }
variable "cidr" {
type = string
default = "10.0.0.0/16"
}
variable "azs" { type = list(string) }
# modules/vpc/main.tf
resource "aws_vpc" "this" {
cidr_block = var.cidr
enable_dns_support = true
enable_dns_hostnames = true
tags = { Name = var.name }
}
# modules/vpc/outputs.tf
output "vpc_id" { value = aws_vpc.this.id }Example 2: Remote State Backend
terraform {
backend "s3" {
bucket = "my-tf-state"
key = "prod/terraform.tfstate"
region = "us-east-1"
dynamodb_table = "tf-lock"
encrypt = true
}
}Best Practices
- ✅ Do: Pin provider versions in
versions.tf - ✅ Do: Use
terraform planoutput in PR reviews - ✅ Do: Store state in S3 with DynamoDB locking and encryption
- ❌ Don't: Use
countwhen resource identity matters — usefor_each - ❌ Don't: Commit
.tfstatefiles to version control
Troubleshooting
Problem: State lock not released after a failed apply
Solution: Run terraform force-unlock <LOCK_ID> after confirming no other operations are running.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Execution boundaries
Select backend locking supported by the actual Terraform version; the DynamoDB example is a version-dependent legacy configuration, not a universal requirement. Inspect account, backend and saved plan before authorized application. Keep state/plan secrets private and never force-unlock another active operation.
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