agentsclimarketplace

Infra change

Skill alex-voloshin-dev/ai-skills/.agents/skills/infra-change

Infrastructure change workflow — Terraform plan/apply, Helm diff/upgrade, Kubernetes manifest changes with mandatory approval gates. Applies DevOps role. Safe-by-default with plan review before any mutation.From its SKILL.md

Install
npx -y skills add alex-voloshin-dev/ai-skills --skill infra-change

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

6.0 KB, as published. Nobody here has run it

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 AGENTS.md at the project root to identify:

  • Infrastructure tools in use (Terraform, Helm, kubectl, Pulumi)
  • Cloud platform (GCP, Azure, AWS)
  • Environment structure (dev, staging, production)
  • State backend and workspace conventions

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)

// turbo
terraform validate
terraform fmt -check -recursive

Review relevant .tf files and current state:

// turbo
terraform plan -out=tfplan

3b. Helm State (if applicable)

// turbo
helm list -n <namespace>
helm get values <release-name> -n <namespace>

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

5a. Terraform Plan

terraform plan -out=tfplan

Present the plan summary:

## Terraform Plan Summary
| Action  | Count | Resources |
|---------|-------|-----------|
| Add     | X     | [list]    |
| Change  | X     | [list]    |
| Destroy | X     | [list]    |

⚠️ DESTROY/REPLACE resources:
- [resource] — [reason]

Data loss risk: [yes/no]
Estimated cost impact: [if applicable]

5b. Helm Diff

helm diff upgrade <release> <chart-path> -n <namespace> -f <values-file>

Present the diff summary:

## Helm Diff Summary
| Object | Action | Key Changes |
|--------|--------|-------------|
| Deployment/X | changed | replicas: 1→2, image: v1→v2 |
| Service/Y | added | port 8080 |
| Secret/Z | changed | keys modified |

⚠️ Critical changes:
- [deployment restart expected]
- [secret reference changed]

Downtime risk: [yes/no]

5c. Kubectl Dry-Run

kubectl diff -f <manifest>

⚠️ 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

Helm:

helm upgrade <release> <chart-path> -n <namespace> -f <values-file>

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 the .tf file changes and re-apply
terraform plan -out=tfplan-rollback
terraform apply tfplan-rollback

Helm:

helm rollback <release> <previous-revision> -n <namespace>

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]

Integration

  • Roles: Agent(devops-engineer) (primary), Agent(sre-engineer) (review), Agent(cloud-architect) (cloud design review), Agent(devops-architect) (CI/CD pipeline architecture)
  • Preceded by: /plan (infra work stream), /architecture (cloud architecture design)
  • Followed by: /deploy-staging, /deploy-production

Keep looking

Skills are one crate of 627,801. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.