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Terraform Infra

  • 56 installs
  • 36 repo stars
  • Updated July 14, 2026
  • oimiragieo/agent-studio

Helps with ai & agent building tasks.

About

terraform-infra is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • terraform-infra
  • AI & Agent Building
  • AI-coding skill

Terraform Infra by the numbers

  • 56 all-time installs (skills.sh)
  • Ranked #6,750 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/oimiragieo/agent-studio --skill terraform-infra

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Listed on Skillselion
Installs56
repo stars36
Last updatedJuly 14, 2026
Repositoryoimiragieo/agent-studio

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

Terraform Infrastructure Skill

Installation

The skill invokes the Terraform CLI. Install:

  • macOS: brew tap hashicorp/tap && brew install hashicorp/tap/terraform
  • Windows: choco install terraform or download from HashiCorp
  • Linux (apt): Add HashiCorp repo then sudo apt update && sudo apt install terraform (see HashiCorp install)

Verify: terraform --version

Cheat Sheet & Best Practices

Workflow: terraform initterraform fmtterraform validateterraform plan -out=tfplan → review → terraform apply tfplan. Use terraform show tfplan to inspect.

Hacks: Always run plan before apply; never apply blind. Use remote state (e.g. S3 + lock) for team work. Prefer -auto-approve only in CI with reviewed plans. Use terraform state list and terraform state show <resource> to debug. Use service accounts / workload identity in pipelines; avoid static keys.

Certifications & Training

HashiCorp Terraform Associate (004): IaC concepts, Terraform fundamentals, state, modules, Terraform Cloud. Learning path. Skill data: init → fmt → validate → plan -out → apply; remote state; no blind apply.

Hooks & Workflows

Suggested hooks: Pre-apply: run terraform plan -out=tfplan and gate on review. CI: apply only after plan approval. Use with devops (primary).

Workflows: Use with devops (primary). Flow: init → plan → review → apply; use state commands for debugging. See ci-cd-implementation-rule for pipeline integration.

Overview

Provides 90%+ context savings vs raw Terraform MCP server. Includes critical safety controls for infrastructure operations.

Requirements

  • Terraform CLI (v1.0+)
  • Cloud provider credentials configured
  • Working directory with .tf files

Tools (Progressive Disclosure)

Planning & Validation

ToolDescriptionConfirmation
planGenerate terraform planNo
validateValidate configurationNo
fmtFormat terraform filesNo

State Operations

ToolDescriptionConfirmation
showDisplay current stateNo
listList state resourcesNo
state-mvMove resource in stateYes

Workspace Operations

ToolDescriptionConfirmation
workspace-listList workspacesNo
workspace-selectSelect workspaceNo
workspace-newCreate workspaceYes

Execution (⚠️ Dangerous)

ToolDescriptionConfirmation
applyApply changesREQUIRED

Blocked Operations

ToolStatus
destroyBLOCKED
state-rmBLOCKED

Quick Reference

# Initialize
terraform init

# Plan changes
terraform plan -out=tfplan

# Validate
terraform validate

# Apply (requires -auto-approve for automation)
terraform apply tfplan

Configuration

  • Working directory: Must contain terraform files
  • TFVAR\*: Variable values via environment
  • TF_WORKSPACE: Active workspace

Safety Controls

⚠️ terraform apply ALWAYS requires confirmation ⚠️ terraform destroy is BLOCKED by default ⚠️ State modifications require confirmation ⚠️ Review plan output before apply

Agent Integration

  • devops (primary): Infrastructure management
  • architect (secondary): Infrastructure design
  • cloud-integrator (secondary): Cloud provisioning

Troubleshooting

IssueSolution
Init failedCheck provider credentials
State lockedCheck for other operations
Plan failedReview error output carefully

Module Development

Creating Reusable Modules

Structure modules following HashiCorp conventions:

modules/
  vpc/
    main.tf          # Resource definitions
    variables.tf     # Input variables
    outputs.tf       # Output values
    versions.tf      # Required provider versions
    README.md        # Module documentation

Module Best Practices

PracticeDescription
Single responsibilityEach module manages one logical resource group
Typed variablesUse type constraints on all variables
Validation blocksAdd validation {} for input constraints
Sensitive outputsMark secrets with sensitive = true
Version constraintsPin module source versions

Module Source Patterns

# Local module
module "vpc" {
  source = "./modules/vpc"
}

# Terraform Registry
module "vpc" {
  source  = "terraform-aws-modules/vpc/aws"
  version = "~> 5.0"
}

# Git source (pinned tag)
module "vpc" {
  source = "git::https://github.com/org/modules.git//vpc?ref=v1.2.0"
}

Provider Development Patterns

Custom Provider Skeleton

package provider

import (
    "github.com/hashicorp/terraform-plugin-sdk/v2/helper/schema"
)

func Provider() *schema.Provider {
    return &schema.Provider{
        Schema: map[string]*schema.Schema{
            "api_key": {
                Type:        schema.TypeString,
                Required:    true,
                Sensitive:   true,
                DefaultFunc: schema.EnvDefaultFunc("API_KEY", nil),
            },
        },
        ResourcesMap: map[string]*schema.Resource{
            "myservice_resource": resourceMyServiceResource(),
        },
    }
}

Testing Modules

# Validate module syntax
cd modules/vpc && terraform validate

# Run module tests (Terraform 1.6+)
terraform test

# Plan with module
terraform plan -var-file=examples/basic.tfvars

Iron Laws

1. ALWAYS run terraform plan and review the output before executing terraform apply 2. NEVER hardcode credentials or secrets in .tf files — use secret managers (AWS Secrets Manager, Azure Key Vault, HashiCorp Vault) 3. ALWAYS use remote state with encryption and state locking to prevent concurrent modifications 4. NEVER edit state files directly — use terraform state commands exclusively 5. ALWAYS pin provider and module versions for fully reproducible infrastructure deployments

Anti-Patterns

Anti-PatternWhy It FailsCorrect Approach
Hardcoded credentials in .tf filesSecret exposure in VCS, compliance failureUse variables with secret manager backend
No state lockingConcurrent applies corrupt stateEnable backend locking (S3+DynamoDB, Azure Blob, GCS)
terraform apply without plan reviewUnexpected resource deletion or recreationAlways plan first, review diff, then apply
Unversioned providers and modulesNon-reproducible builds and breaking changesPin versions: version = "~> 4.0"
Untagged resourcesUntrackable costs and compliance failureTag all resources with env, owner, cost-center

Memory Protocol (MANDATORY)

Before starting: Read .claude/context/memory/learnings.md

After completing:

  • New pattern -> .claude/context/memory/learnings.md
  • Issue found -> .claude/context/memory/issues.md
  • Decision made -> .claude/context/memory/decisions.md
ASSUME INTERRUPTION: If it's not in memory, it didn't happen.

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