Terraform 基础设施即代码

SkillCloud & infra

The terraform skill is a plugin that lets an AI agent work with Terraform infrastructure-as-code setups. It gives the agent a way to read and change Terraform configurations, so you can describe the infrastructure you want and have the agent carry out the work. This is useful when you already manage cloud resources with Terraform and want an agent to help with the files and commands.

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Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Install Terraform and make sure the terraform command is available.

Terraform 基础设施即代码Start free

What your AI can do with it

  • Read and edit Terraform configuration files
  • Run terraform plan to preview infrastructure changes
  • Run terraform apply to make infrastructure changes
  • Manage Terraform state and workspaces
  • Explain what a Terraform configuration will do

Getting started

  1. Install Terraform and make sure the terraform command is available.
  2. Add the terraform skill to your agent's skills or plugins.
  3. Point the agent at the directory that holds your Terraform configuration.
  4. Ask the agent to run terraform plan before any apply.

What this skill tells your AI

The instructions your AI receives, as published by chaterm/terminal-skills in devops/terraform/SKILL.md and read by Ahel’s review.

概述

HCL 编写、状态管理、模块开发等技能。

基础命令

# 初始化
terraform init
terraform init -upgrade             # 升级 provider

# 格式化
terraform fmt
terraform fmt -recursive

# 验证
terraform validate

# 计划
terraform plan
terraform plan -out=plan.tfplan

# 应用
terraform apply
terraform apply plan.tfplan
terraform apply -auto-approve

# 销毁
terraform destroy
terraform destroy -auto-approve

# 查看状态
terraform show
terraform state list
terraform state show resource_type.name

# 输出
terraform output
terraform output -json

HCL 语法

Provider 配置

# providers.tf
terraform {
  required_version = ">= 1.0"

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

  backend "s3" {
    bucket = "my-terraform-state"
    key    = "prod/terraform.tfstate"
    region = "us-east-1"
  }
}

provider "aws" {
  region = var.aws_region

  default_tags {
    tags = {
      Environment = var.environment
      ManagedBy   = "Terraform"
    }
  }
}

变量定义

# variables.tf
variable "aws_region" {
  description = "AWS region"
  type        = string
  default     = "us-east-1"
}

variable "instance_type" {
  description = "EC2 instance type"
  type        = string
  default     = "t3.micro"
}

variable "environment" {
  description = "Environment name"
  type        = string

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

variable "tags" {
  description = "Resource tags"
  type        = map(string)
  default     = {}
}

variable "subnets" {
  description = "Subnet configuration"
  type = list(object({
    cidr_block = string
    az         = string
  }))
}

资源定义

# main.tf
resource "aws_vpc" "main" {
  cidr_block           = "10.0.0.0/16"
  enable_dns_hostnames = true

  tags = {
    Name = "${var.environment}-vpc"
  }
}

resource "aws_subnet" "public" {
  count             = length(var.subnets)
  vpc_id            = aws_vpc.main.id
  cidr_block        = var.subnets[count.index].cidr_block
  availability_zone = var.subnets[count.index].az

  tags = {
    Name = "${var.environment}-public-${count.index + 1}"
  }
}

resource "aws_instance" "web" {
  ami           = data.aws_ami.ubuntu.id
  instance_type = var.instance_type
  subnet_id     = aws_subnet.public[0].id

  tags = merge(var.tags, {
    Name = "${var.environment}-web"
  })
}

数据源

# data.tf
data "aws_ami" "ubuntu" {
  most_recent = true
  owners      = ["099720109477"]  # Canonical

  filter {
    name   = "name"
    values = ["ubuntu/images/hvm-ssd/ubuntu-jammy-22.04-amd64-server-*"]
  }
}

data "aws_availability_zones" "available" {
  state = "available"
}

输出

# outputs.tf
output "vpc_id" {
  description = "VPC ID"
  value       = aws_vpc.main.id
}

output "instance_public_ip" {
  description = "Public IP of web instance"
  value       = aws_instance.web.public_ip
}

output "subnet_ids" {
  description = "Subnet IDs"
  value       = aws_subnet.public[*].id
}

状态管理

状态命令

# 列出资源
terraform state list

# 查看资源
terraform state show aws_instance.web

# 移动资源
terraform state mv aws_instance.web aws_instance.app

# 删除资源(从状态中)
terraform state rm aws_instance.web

# 导入现有资源
terraform import aws_instance.web i-1234567890abcdef0

# 拉取远程状态
terraform state pull > state.json

# 推送状态
terraform state push state.json

远程后端

# S3 后端
terraform {
  backend "s3" {
    bucket         = "my-terraform-state"
    key            = "prod/terraform.tfstate"
    region         = "us-east-1"
    encrypt        = true
    dynamodb_table = "terraform-locks"
  }
}

# 初始化后端
terraform init -backend-config="bucket=my-bucket"

模块

模块结构

modules/
└── vpc/
    ├── main.tf
    ├── variables.tf
    ├── outputs.tf
    └── README.md

模块定义

# modules/vpc/main.tf
resource "aws_vpc" "this" {
  cidr_block           = var.cidr_block
  enable_dns_hostnames = var.enable_dns_hostnames

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

# modules/vpc/variables.tf
variable "name" {
  type = string
}

variable "cidr_block" {
  type = string
}

variable "enable_dns_hostnames" {
  type    = bool
  default = true
}

variable "tags" {
  type    = map(string)
  default = {}
}

# modules/vpc/outputs.tf
output "vpc_id" {
  value = aws_vpc.this.id
}

使用模块

# 本地模块
module "vpc" {
  source = "./modules/vpc"

  name       = "my-vpc"
  cidr_block = "10.0.0.0/16"
  tags       = var.tags
}

# 远程模块
module "vpc" {
  source  = "terraform-aws-modules/vpc/aws"
  version = "5.0.0"

  name = "my-vpc"
  cidr = "10.0.0.0/16"
}

# 引用模块输出
resource "aws_subnet" "public" {
  vpc_id = module.vpc.vpc_id
  # ...
}

工作区

# 列出工作区
terraform workspace list

# 创建工作区
terraform workspace new dev
terraform workspace new prod

# 切换工作区
terraform workspace select dev

# 删除工作区
terraform workspace delete dev

# 在配置中使用
locals {
  environment = terraform.workspace
}

常见场景

场景 1:条件创建资源

variable "create_instance" {
  type    = bool
  default = true
}

resource "aws_instance" "web" {
  count = var.create_instance ? 1 : 0

  ami           = data.aws_ami.ubuntu.id
  instance_type = var.instance_type
}

场景 2:for_each 循环

variable "instances" {
  type = map(object({
    instance_type = string
    ami           = string
  }))
}

resource "aws_instance" "this" {
  for_each = var.instances

  ami           = each.value.ami
  instance_type = each.value.instance_type

  tags = {
    Name = each.key
  }
}

场景 3:动态块

resource "aws_security_group" "this" {
  name   = "my-sg"
  vpc_id = aws_vpc.main.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
    }
  }
}

场景 4:依赖管理

resource "aws_instance" "web" {
  # 隐式依赖
  subnet_id = aws_subnet.public.id

  # 显式依赖
  depends_on = [aws_internet_gateway.main]
}

故障排查

问题排查方法
状态锁定terraform force-unlock LOCK_ID
Provider 错误terraform init -upgrade
状态不一致terraform refresh
循环依赖检查 depends_on
# 调试模式
TF_LOG=DEBUG terraform plan

# 查看详细计划
terraform plan -out=plan.tfplan
terraform show -json plan.tfplan | jq

# 验证配置
terraform validate

Signals

GitHub stars
58
Forks
12
Last commit
Mar 2026
Hacker News mentions
20

Questions

What is a terraform skill?
It is a plugin that lets an AI agent work with Terraform infrastructure-as-code setups, reading and changing configurations and running Terraform commands on your behalf.
What is a terraform claude skill?
It is the same terraform skill used with a Claude-based agent. It gives that agent the ability to manage your Terraform configurations and commands.
What is a terraform agent skill?
It is a skill that an AI agent can load to handle Terraform infrastructure-as-code tasks, such as reading configurations and running plan or apply.
Do I need Terraform installed?
Yes. The skill works with Terraform, so the terraform command must be available before the agent can run it.
Advanced
Item type
skill
Key
terraform
Source
github.com/chaterm/terminal-skills