Agent Skills

terraform-search-import

devopshashicorp4.6K installs

Discover existing cloud resources using Terraform Search queries and bulk import them into Terraform management. Use when bringing unmanaged infrastructure under Terraform control, auditing cloud resources, or migrating to IaC.

Install

npx skills add https://github.com/hashicorp/agent-skills --skill terraform-search-import
SKILL.md

Terraform Search and Bulk Import

Discover existing cloud resources using declarative queries and generate configuration for bulk import into Terraform state.

References:

When to Use

  • Bringing unmanaged resources under Terraform control
  • Auditing existing cloud infrastructure
  • Migrating from manual provisioning to IaC
  • Discovering resources across multiple regions/accounts

IMPORTANT: Check Provider Support First

BEFORE starting, you MUST verify the target resource type is supported:

# Check what list resources are available
./scripts/list_resources.sh aws      # Specific provider
./scripts/list_resources.sh          # All configured providers

Decision Tree

  1. Identify target resource type (e.g., aws_s3_bucket, aws_instance)

  2. Check if supported: Run ./scripts/list_resources.sh <provider>

  3. Choose workflow:

    • ** If supported**: Check for terraform version available.
    • ** If terraform version is above 1.14.0** Use Terraform Search workflow (below)
    • ** If not supported or terraform version is below 1.14.0 **: Use Manual Discovery workflow (see references/MANUAL-IMPORT.md)

    Note: The list of supported resources is rapidly expanding. Always verify current support before using manual import.

Prerequisites

Before writing queries, verify the provider supports list resources for your target resource type.

Discover Available List Resources

Run the helper script to extract supported list resources from your provider:

# From a directory with provider configuration (runs terraform init if needed)
./scripts/list_resources.sh aws      # Specific provider
./scripts/list_resources.sh          # All configured providers

Or manually query the provider schema:

terraform providers schema -json | jq '.provider_schemas | to_entries | map({key: (.key | split("/")[-1]), value: (.value.list_resource_schemas // {} | keys)})'

Terraform Search requires an initialized working directory. Ensure you have a configuration with the required provider before running queries:

# terraform.tf
terraform {
  required_providers {
    aws = {
      source  = "hashicorp/aws"
      version = "~> 6.0"
    }
  }
}

Run terraform init to download the provider, then proceed with queries.

Terraform Search Workflow (Supported Resources Only)

  1. Create .tfquery.hcl files with list blocks defining search queries
  2. Run terraform query to discover matching resources
  3. Generate configuration with -generate-config-out=<file>
  4. Review and refine generated resource and import blocks
  5. Run terraform plan and terraform apply to import

Query File Structure

Query files use .tfquery.hcl extension and support:

  • provider blocks for authentication
  • list blocks for resource discovery
  • variable and locals blocks for parameterization
# discovery.tfquery.hcl
provider "aws" {
  region = "us-west-2"
}

list "aws_instance" "all" {
  provider = aws
}

List Block Syntax

list "<list_type>" "<symbolic_name>" {
  provider = <provider_reference>  # Required

  # Optional: filter configuration (provider-specific)
  # The `config` block schema is provider-specific. Discover available options using `terraform providers schema -json | jq '.provider_schemas."registry.terraform.io/hashicorp/<provider>".list_resource_schemas."<resource_type>"'`

  config {
    filter {
      name   = "<filter_name>"
      values = ["<value1>", "<value2>"]
    }
    region = "<region>"  # AWS-specific
  }
  # Optional: limit results
  limit = 100
}

Supported List Resources

Provider support for list resources varies by version. Always check what's available for your specific provider version using the discovery script.

Query Examples

Basic Discovery

# Find all EC2 instances in configured region
list "aws_instance" "all" {
  provider = aws
}

Filtered Discovery

# Find instances by tag
list "aws_instance" "production" {
  provider = aws

  config {
    filter {
      name   = "tag:Environment"
      values = ["production"]
    }
  }
}

# Find instances by type
list "aws_instance" "large" {
  provider = aws

  config {
    filter {
      name   = "instance-type"
      values = ["t3.large", "t3.xlarge"]
    }
  }
}

Multi-Region Discovery

provider "aws" {
  region = "us-west-2"
}

locals {
  regions = ["us-west-2", "us-east-1", "eu-west-1"]
}

list "aws_instance" "all_regions" {
  for_each = toset(local.regions)
  provider = aws

  config {
    region = each.value
  }
}

Parameterized Queries

variable "target_environment" {
  type    = string
  default = "staging"
}

list "aws_instance" "by_env" {
  provider = aws

  config {
    filter {
      name   = "tag:Environment"
      values = [var.target_environment]
    }
  }
}

Running Queries

# Execute queries and display results
terraform query

# Generate configuration file
terraform query -generate-config-out=imported.tf

# Pass variables
terraform query -var='target_environment=production'

Query Output Format

list.aws_instance.all   account_id=123456789012,id=i-0abc123,region=us-west-2   web-server

Columns: <query_address> <identity_attributes> <name_tag>

Generated Configuration

The -generate-config-out flag creates:

# __generated__ by Terraform
resource "aws_instance" "all_0" {
  ami           = "ami-0c55b159cbfafe1f0"
  instance_type = "t2.micro"
  # ... all attributes
}

import {
  to       = aws_instance.all_0
  provider = aws
  identity = {
    account_id = "123456789012"
    id         = "i-0abc123"
    region     = "us-west-2"
  }
}

Post-Generation Cleanup

Generated configuration includes all attributes. Clean up by:

  1. Remove computed/read-only attributes
  2. Replace hardcoded values with variables
  3. Add proper resource naming
  4. Organize into appropriate files
# Before: generated
resource "aws_instance" "all_0" {
  ami                    = "ami-0c55b159cbfafe1f0"
  instance_type          = "t2.micro"
  arn                    = "arn:aws:ec2:..."  # Remove - computed
  id                     = "i-0abc123"        # Remove - computed
  # ... many more attributes
}

# After: cleaned
resource "aws_instance" "web_server" {
  ami           = var.ami_id
  instance_type = var.instance_type
  subnet_id     = var.subnet_id

  tags = {
    Name        = "web-server"
    Environment = var.environment
  }
}

Import by Identity

Generated imports use identity-based import (Terraform 1.12+):

import {
  to       = aws_instance.web
  provider = aws
  identity = {
    account_id = "123456789012"
    id         = "i-0abc123"
    region     = "us-west-2"
  }
}

Verifying Imported State

After running terraform apply to import resources, verify what actually landed in state. Prefer the documented, stable, and more token-efficient commands over reading the raw state file:

# Confirm resources are now managed (also confirms addresses)
terraform state list

# Inspect resolved attribute values for imported resources
terraform show -json | jq '.values.root_module.resources[] | {address, type, name}'

terraform show -json requires providers to be installed (terraform init), since it renders values against provider schemas. Fall back to the raw state (terraform state pull / terraform.tfstate) only when providers aren't available and init can't run, you need only coarse info (addresses, outputs, serial/lineage), or you must avoid executing Terraform. Avoid parsing the raw version-4 state format as a stable interface. Note: state contains sensitive values in plaintext in every format — never echo state contents into logs or output.

Best Practices

Query Design

  • Start broad, then add filters to narrow results
  • Use limit to prevent overwhelming output
  • Test queries before generating configuration

Configuration Management

  • Review all generated code before applying
  • Remove unnecessary default values
  • Use consistent naming conventions
  • Add proper variable abstraction

Troubleshooting

Issue Solution
"No list resources found" Check provider version supports list resources
Query returns empty Verify region and filter values
Generated config has errors Remove computed attributes, fix deprecated arguments
Import fails Ensure resource not already in state

Complete Example

# main.tf - Initialize provider
terraform {
  required_version = ">= 1.14"
  required_providers {
    aws = {
      source  = "hashicorp/aws"
      version = "~> 6.0"  # Always use latest version
    }
  }
}

# discovery.tfquery.hcl - Define queries
provider "aws" {
  region = "us-west-2"
}

list "aws_instance" "team_instances" {
  provider = aws

  config {
    filter {
      name   = "tag:Owner"
      values = ["platform"]
    }
    filter {
      name   = "instance-state-name"
      values = ["running"]
    }
  }

  limit = 50
}
# Execute workflow
terraform init
terraform query
terraform query -generate-config-out=generated.tf
# Review and clean generated.tf
terraform plan
terraform apply

Related skills

azure-diagnosticsmicrosoft608KDebug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, troubleshoot functions, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, aazure-preparemicrosoft608KPrepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azazure-aimicrosoft608KUse for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.azure-deploymicrosoft607KExecute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: \"run azd up\", \"run azd deploy\", \"execute deployment\",

Search skills and MCP servers

Fuzzy search across 23,137 skills and servers