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Terraform Skill

  • 478 installs
  • 1.3k repo stars
  • Updated August 4, 2026
  • daymade/claude-code-skills

terraform-skill is a Claude Code skill that authors, reviews, and applies Terraform for cloud stacks for developers who provision VPCs, IAM, databases, and services with safe plan/apply workflows.

About

terraform-skill is a Claude Code skill from daymade/claude-code-skills that guides agents through Terraform for real cloud stacks. It covers writing modules for VPCs, IAM roles, RDS or managed databases, and attached services; enforcing remote state and workspace discipline; and running plan-before-apply review loops. The skill emphasizes module reuse, variable threading, output contracts, and change safety so infrastructure edits stay reviewable in pull requests. Reach for terraform-skill when you are standing up or extending AWS, GCP, or Azure resources and want Claude Code or Cursor to draft .tf files, catch anti-patterns, and walk terraform plan and terraform apply with explicit approval gates instead of one-shot HCL generation without operational guardrails. Review passes catch hard-coded secrets, missing backend blocks, and destructive replace operations before apply. The skill also threads outputs across nested modules so downstream services receive VPC IDs, subnet lists, and database connection strings consistently.

  • Module and variable conventions
  • Remote state and locking guidance
  • Plan/apply safety checks
  • IAM least-privilege patterns
  • Multi-environment workspace layout

Terraform Skill by the numbers

  • 478 all-time installs (skills.sh)
  • Ranked #371 of 1,039 Cloud & Infrastructure skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/daymade/claude-code-skills --skill terraform-skill

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Listed on Skillselion
Installs478
repo stars1.3k
Last updatedAugust 4, 2026
Repositorydaymade/claude-code-skills

How do you safely apply Terraform for cloud stacks?

Author, review, and apply Terraform for cloud stacks so agents provision VPCs, IAM, databases, and services with module patterns, state discipline, and safe plan/apply workflows.

Who is it for?

Platform and backend developers who write Terraform modules and need agent-guided plan/apply review for production cloud stacks.

Skip if: Teams standardized exclusively on Pulumi, CloudFormation, or Encore infrastructure-from-code without Terraform in the stack.

When should I use this skill?

The user asks to write, review, or apply Terraform for VPC, IAM, databases, or cloud services.

What you get

Terraform .tf modules, remote state configuration, plan output reviews, and applied cloud resources for VPC, IAM, and databases.

  • .tf module files
  • terraform plan output

Files

SKILL.mdMarkdownGitHub ↗

Terraform Operational Traps

Failure patterns from real deployments. Every item caused an incident. Organized as: exact error → root cause → copy-paste fix.

Provisioner traps (symptom → fix)

docker: not found in remote-exec

cloud-init still installing Docker when provisioner SSHs in.

provisioner "remote-exec" {
  inline = [
    "cloud-init status --wait || true",
    "which docker || { echo 'FATAL: Docker not ready'; exit 1; }",
  ]
}

rsync: connection unexpectedly closed in local-exec

Terraform holds its SSH connection open; local-exec rsync opens a second one that gets rejected. Never use local-exec for file transfer to remote. Use tarball + file provisioner:

provisioner "local-exec" {
  command = "tar czf /tmp/src.tar.gz --exclude=node_modules --exclude=.git -C ${path.module}/../../.. myproject"
}
provisioner "file" {
  source      = "/tmp/src.tar.gz"
  destination = "/tmp/src.tar.gz"
}
provisioner "remote-exec" {
  inline = ["tar xzf /tmp/src.tar.gz -C /data/ && rm -f /tmp/src.tar.gz"]
}

macOS BSD tar: --exclude must come BEFORE the source argument.

cloud-init status shows "running" forever

apt-get -y does not suppress debconf dialogs. Packages like iptables-persistent block on TTY prompts.

- |
    echo iptables-persistent iptables-persistent/autosave_v4 boolean true | debconf-set-selections
    echo iptables-persistent iptables-persistent/autosave_v6 boolean true | debconf-set-selections
    DEBIAN_FRONTEND=noninteractive apt-get install -y iptables-persistent

Known offenders: iptables-persistent, postfix, mysql-server, wireshark-common.

EACCES: permission denied in container logs, container Restarting

Host volume dirs are root-owned; container runs as non-root (uid 1001). Fix before docker compose up:

mkdir -p /data/myapp/data /data/myapp/logs
chown -R 1001:1001 /data/myapp/data /data/myapp/logs

Find UID: grep adduser.*-u or USER in Dockerfile.

Provisioner fails but no diagnostic output

set -e exits on first error, hiding subsequent docker logs output. Use set -u without -e, put one verification gate at the end:

provisioner "remote-exec" {
  inline = [
    "set -u",
    "docker compose up -d",
    "sleep 15",
    "docker logs myapp --tail 20 2>&1 || true",
    "docker ps --format 'table {{.Names}}\\t{{.Status}}' || true",
    "docker ps --filter name=myapp --format '{{.Status}}' | grep -q healthy || exit 1",
  ]
}

Container Restarting — database tables missing

DB migrations not in provisioner. PostgreSQL docker-entrypoint-initdb.d only runs on empty data dir. Explicitly create DB + run migrations:

# After postgres healthy:
docker exec pg psql -U postgres -tc "SELECT 1 FROM pg_database WHERE datname='mydb'" | grep -q 1 \
  || docker exec pg psql -U postgres -c "CREATE DATABASE mydb;"

# Idempotent migrations:
for f in migrations/*.sql; do
  VER=$(basename $f)
  APPLIED=$($PSQL -tAc "SELECT 1 FROM schema_migrations WHERE version='$VER'" | tr -d ' ')
  [ "$APPLIED" = "1" ] && continue
  { echo 'BEGIN;'; cat $f; echo 'COMMIT;'; } | $PSQL
  $PSQL -tAc "INSERT INTO schema_migrations(version) VALUES ('$VER') ON CONFLICT DO NOTHING"
done

docker compose build ignores env var override

Compose reads build args from .env file, not shell env. VAR=x docker compose build does NOT work.

# WRONG
DOCKER_WITH_PROXY_MODE=disabled docker compose build

# RIGHT
grep -q DOCKER_WITH_PROXY_MODE .env || echo 'DOCKER_WITH_PROXY_MODE=disabled' >> .env
docker compose build

TLS handshake fails: Invalid format for Authorization header

Caddy DNS-01 ACME needs a Cloudflare API Token (cfut_ prefix, 40+ chars, Bearer auth). A Global API Key (37 hex chars, X-Auth-Key auth) causes HTTP 400 Code:6003. Production may appear to work because it has cached certificates; fresh environments fail on first cert request.

# Verify token format before deploy:
TOKEN=$(grep CLOUDFLARE_API_TOKEN .env | cut -d= -f2)
echo "$TOKEN" | grep -q "^cfut_" || echo "FATAL: needs API Token, not Global Key"

Create scoped token via API:

curl -s "https://api.cloudflare.com/client/v4/user/tokens" -X POST \
  -H "X-Auth-Email: $CF_EMAIL" -H "X-Auth-Key: $CF_GLOBAL_KEY" \
  -d '{"name":"caddy-dns-acme","policies":[{"effect":"allow",
    "resources":{"com.cloudflare.api.account.zone.<ZONE_ID>":"*"},
    "permission_groups":[
      {"id":"4755a26eedb94da69e1066d98aa820be","name":"DNS Write"},
      {"id":"c8fed203ed3043cba015a93ad1616f1f","name":"Zone Read"}]}]}'

TLS fails on staging but works on production — hardcoded domains

Caddyfile or compose has literal domain names. Staging Caddy loads production config, tries to get certs for domains it doesn't own → ACME fails.

Caddyfile: Use {$VAR} — Caddy evaluates env vars at startup.

# WRONG
example.com { tls { dns cloudflare {env.CLOUDFLARE_API_TOKEN} } }

# RIGHT
{$LOBEHUB_DOMAIN} { tls { dns cloudflare {env.CLOUDFLARE_API_TOKEN} } }

Compose: Use ${VAR:?required} — fail-fast if unset.

# WRONG
- APP_URL=https://example.com

# RIGHT
- APP_URL=${APP_URL:?APP_URL is required}

Pass the env var to the gateway container so Caddy can read it:

environment:
  - LOBEHUB_DOMAIN=${LOBEHUB_DOMAIN:?LOBEHUB_DOMAIN is required}
  - CLOUDFLARE_API_TOKEN=${CLOUDFLARE_API_TOKEN:?required for DNS-01 TLS}

OAuth login fails: Social sign in failed

Casdoor init_data.json contains hardcoded redirect URIs. --createDatabase=true only applies init_data on first-ever DB creation — not on restarts. Fix via SQL in provisioner:

# Replace production domain with staging in existing Casdoor DB
$PSQL -c "UPDATE application SET redirect_uris = REPLACE(redirect_uris,
  'example.com', 'staging.example.com')
  WHERE name='lobechat'
  AND redirect_uris LIKE '%example.com%'
  AND redirect_uris NOT LIKE '%staging.example.com%';"

Also check AUTH_CASDOOR_ISSUER — it must match the Casdoor subdomain (auth.staging.example.com), not the app root domain.

Multi-environment isolation

Before creating a second environment, grep .tf files for hardcoded names. See references/multi-env-isolation.md for the complete matrix.

Will fail on apply (globally unique):

ResourceScopeFix
SSH key pairRegion"${env}-deploy"
SLS log projectAccount"${env}-logs"
CloudMonitor contactAccount"${env}-ops"

DNS duplication trap: Two environments creating A records for the same name in the same Cloudflare zone → two independent record IDs → DNS round-robin → ~50% traffic to wrong instance. Fix: use subdomain isolation (staging.example.com) or separate zones. Remember to create DNS records for ALL subdomains Caddy serves (e.g., auth.staging, minio.staging).

Snapshot cross-contamination: Unfiltered data "alicloud_ecs_snapshots" returns ALL account snapshots. New env inherits old 100GB snapshot, fails creating 40GB disk. Gate with variable:

locals {
  latest_snapshot_id = var.enable_snapshot_recovery && length(local.available_snapshots) > 0
    ? local.available_snapshots[0].snapshot_id : null
}

Do NOT add count to the data source — changes its state address, causes drift.

Pre-deploy validation

Run a validation script before terraform apply to catch configuration errors locally. This eliminates the deploy→discover→fix→redeploy cycle.

Key checks (see references/pre-deploy-validation.md): 1. terraform validate — syntax 2. No hardcoded domains in Caddyfiles or compose files 3. Required env vars present (LOBEHUB_DOMAIN, CLAUDE4DEV_DOMAIN, CLOUDFLARE_API_TOKEN, APP_URL, etc.) 4. Cloudflare API Token format (not Global API Key) 5. DNS records exist for all Caddy-served domains 6. Casdoor issuer URL matches auth.* subdomain 7. SSH private key exists

Integrate into Makefile: make pre-deploy ENV=staging before make apply.

Zero-to-deployment

Fresh disks expose every implicit dependency. See references/zero-to-deploy-checklist.md.

Key items that break provisioners on fresh instances: 1. Directories: mkdir -p /data/{svc1,svc2} in cloud-init — file provisioner fails if target dir missing 2. Databases: Explicit CREATE DATABASE — PG init scripts only run on empty data dir 3. Migrations: Tracked in schema_migrations table, applied idempotently 4. Provisioner ordering: depends_on between resources sharing Docker networks 5. Memory: Stop non-critical containers during Docker build on small instances (≤8GB) 6. Domain parameterization: Every domain in Caddyfile/compose must be {$VAR} / ${VAR:?required} 7. Credential format: Caddy needs API Token (cfut_), not Global API Key

Related skills

FAQ

What cloud resources does terraform-skill cover?

terraform-skill covers Terraform for VPCs, IAM, managed databases, and attached services using module patterns, remote state, and plan/apply workflows reviewed before changes land.

How does terraform-skill handle apply safety?

terraform-skill emphasizes terraform plan review, explicit approval gates, and state discipline so agents do not apply destructive infrastructure changes without a reviewed plan output.

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