avav25/infra-change

Infrastructure Change

Safe infrastructure change workflow for Terraform, Helm, and Kubernetes. Every mutation requires explicit user approval after reviewing the plan/diff. Applies Agent(devops-engineer) for all steps.

⚠️ SAFETY: No apply, upgrade, delete, or scale command runs without explicit user APPROVE.

0. Gather Context

Read CLAUDE.md (or AGENTS.md) at the project root to identify:

• Infrastructure tools in use (Terraform, Helm, kubectl, Pulumi, OpenTofu)
• Cloud platform (GCP, Azure, AWS) — apply cloud-platforms skill for platform-specific commands
• Environment structure (dev, staging, production)
• State backend and workspace conventions

0a. Detect orchestration / GitOps controllers — route first

Before running terraform apply or helm upgrade directly, check whether the repo's infra changes flow through a controller. If so, the change is a git PR, not an imperative command.

GitOps platform detection (Argo / Flux / Atlantis / HCP / Spacelift / env0) — see @gitops-detection.

0b. Detect Terraform fork

OpenTofu fork detection + command substitution rules — see @terraform-procedures.

0c. Policy-as-code gate (when configured)

If .conftest/ (Conftest), .opa/ (raw OPA Rego), .tflint.hcl (TFLint), or tfsec.yml (tfsec) / .checkov.yml (Checkov) configs are present, run them as a pre-plan gate. A plan that violates policy never advances to apply.

1. Define the Change

Ask the user (or extract from parent workflow context):

• What needs to change? (resource scaling, new service, config update, network change, secret rotation)
• Which tool? Terraform, Helm, kubectl, or combination
• Environment: dev / staging / production
• Risk level: Low (config), Medium (scaling, new resource), High (destroy, DB, auth, prod)

If Risk = HIGH or Environment = production:

⚠️ HIGH-RISK INFRASTRUCTURE CHANGE
Destructive actions require explicit "APPROVE" before execution.
Affected: [list resources/services]

2. Apply Roles

Apply Agent(devops-engineer). For production changes, also apply Agent(sre-engineer) for SLO impact assessment. For cloud infrastructure design (landing zones, networking topology, IAM), consult Agent(cloud-architect). For CI/CD pipeline architecture changes, consult Agent(devops-architect).

3. Review Current State

Before making changes, capture the current state:

3a. Terraform State (if applicable)

Terraform state operations + plan/apply lifecycle + OpenTofu compatibility — see @terraform-procedures.

3b. Helm State (if applicable)

Helm diff + atomic upgrade + rollback procedures — see @helm-procedures.

3c. Kubernetes State (if applicable)

// turbo
kubectl get deployments,services,ingress -n <namespace>
kubectl get pods -n <namespace> -o wide

Record: Current resource counts, versions, replicas, config values as baseline.

4. Implement Changes

Make the infrastructure code changes following Agent(devops-engineer) standards:

For Terraform:

• Modify .tf files as needed
• Run format and validate:

// turbo
terraform fmt -recursive
terraform validate

For Helm:

• Modify values.yaml or chart templates
• Lint the chart:

// turbo
helm lint <chart-path>

For raw Kubernetes manifests:

• Modify YAML files
• Validate with dry-run:

kubectl apply --dry-run=client -f <manifest>

5. Plan Review — MANDATORY BEFORE APPLY

Generate the plan/diff for the tool in use and present a summary table to the user.

• Terraform: see @terraform-procedures for terraform plan -out=tfplan and the plan-summary format (Add / Change / Destroy table, destroy/replace highlight, data-loss flag).
• Helm: see @helm-procedures for helm diff upgrade and the diff-summary format (per-object Action / Key Changes table, critical-changes highlight, downtime flag).
• Kubectl:

  kubectl diff -f <manifest>
  

WARNING — STOP. Present plan/diff summary and request APPROVE before proceeding to Step 6.

6. Apply — REQUIRES EXPLICIT APPROVE

Only after the user explicitly approves:

• Terraform: terraform apply tfplan (see @terraform-procedures)
• Helm: helm upgrade ... --atomic --timeout 5m --wait (see @helm-procedures)
• Kubectl: kubectl apply -f <manifest>

Rules:

• Never auto-run apply/upgrade commands
• User must explicitly type "APPROVE" or equivalent
• If the plan changed since review — re-run Step 5

7. Verify

After applying, verify the changes took effect:

// turbo
kubectl get pods -n <namespace> -o wide
kubectl get events -n <namespace> --sort-by='.lastTimestamp' --field-selector type!=Normal

Check:

• [ ] All pods healthy (Running, no CrashLoopBackOff)
• [ ] Expected replica counts match
• [ ] No warning/error events
• [ ] Services responding (health check endpoints)
• [ ] Logs clean (no new errors)

If production — monitor SLIs for 5–10 minutes after apply.

8. Rollback Plan

Document the rollback before considering the change complete:

• Terraform: revert .tf files and re-apply — see @terraform-procedures
• Helm: helm rollback <release> <previous-revision> -n <namespace> — see @helm-procedures
• Kubectl: kubectl rollout undo deployment/<name> -n <namespace>

9. Summary

## Infrastructure Change Summary
- **Change**: [what was changed]
- **Tool**: [Terraform / Helm / kubectl]
- **Environment**: [dev / staging / production]
- **Risk**: [low / medium / high]
- **Plan reviewed**: [yes — summary of add/change/destroy]
- **Applied**: [yes/no — with APPROVE]
- **Verification**: [pass/fail]
- **Rollback plan**: [documented above]
- **Next steps**: [monitoring, follow-up changes]

RALF Loop (optional)

For multi-step infra changes that may need iterative reconciliation (e.g., Terraform plans that depend on prior apply outputs), this skill MAY run inside /ralph per ralph-budget.md rule. Default per-workflow caps: 4 iter / 200K tokens / 45 min. Mandatory --kill-on oracle-pass (oracle: terraform plan -detailed-exitcode returns 0 = no diff).

Integration

• Roles: Agent(devops-engineer) (primary), Agent(sre-engineer) (review), Agent(cloud-architect) (cloud design review), Agent(devops-architect) (CI/CD pipeline architecture)
• Knowledge skills: @terraform-procedures, @helm-procedures, @gitops-detection, @cloud-platforms
• Preceded by: /plan (infra work stream), /architecture (cloud architecture design)
• Followed by: /deploy-staging, /deploy-production
• Rules: ralph-budget (caps for iterative reconciliation per "RALF Loop" section)