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SKILL verified MIT Self-run

Devops

skill-vanducng-skills-devops · by vanducng

Deployment and infrastructure operations. Use when writing or debugging a Dockerfile, docker build/run, docker compose; running terraform plan/apply/destroy or editing .tf files and modules; using kubectl, debugging pods (CrashLoopBackOff, ImagePullBackOff, OOMKilled), applying manifests, or writing Helm charts; deploying to GKE/EKS/AKS, Cloud Run, or App Engine; GitOps with Argo CD or Flux; writ…

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Install

$ agentstack add skill-vanducng-skills-devops

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

DevOps

Deployment and infrastructure operations across containers, orchestration, IaC, cloud platforms, and CI/CD. SKILL.md dispatches; open the reference that matches the task. Distilled operational guidance — verify exact flags against the current tool docs, and never run a destructive command (terraform apply, kubectl delete, docker system prune) without confirming scope.

When to open which reference

| Task | Open | | --- | --- | | Dockerfile, multi-stage build, docker build/run, docker compose, image size/security, .dockerignore | [references/docker.md](references/docker.md) | | kubectl commands, pod debugging (CrashLoopBackOff, ImagePullBackOff, OOMKilled, Pending), manifests, rollouts, Helm charts, RBAC/secrets | [references/kubernetes.md](references/kubernetes.md) | | terraform/tofu plan/apply/destroy, state, modules, workspaces, remote backends, drift | [references/terraform.md](references/terraform.md) | | GKE/EKS/AKS clusters, Cloud Run, App Engine, gcloud, eksctl, Cloudflare Workers/Pages/R2/D1 | [references/cloud-platforms.md](references/cloud-platforms.md) | | GitHub Actions workflows, GitOps (Argo CD, Flux), deployment strategies, multi-region | [references/cicd-gitops.md](references/cicd-gitops.md) |

Operating principles (apply everywhere)

  1. Plan before apply. Always terraform plan / kubectl apply --dry-run=client / docker build before the mutating step. Read the diff.
  2. Least privilege. Non-root containers, scoped RBAC, per-job CI permissions, per-environment secrets. Never bake credentials into images or commit them.
  3. Everything is code and versioned. Dockerfiles, manifests, .tf, Helm values, workflows — all in git, reviewed, applied through CI/GitOps rather than by hand.
  4. Pin versions. No latest image tags, no @master actions — pin digests/major versions for reproducibility.
  5. Right-size resources. Set CPU/memory requests and limits; unbounded workloads get OOM-killed or evicted.
  6. Debug top-down. Overview (get/ps) → details (describe/inspect/events) → logs. Read the error before changing anything.
  7. Scan and observe. Image scanning (Trivy, docker scout), health checks/probes, and metrics/logs are part of "done," not extras.

Quick start

# Docker
docker build -t myapp:1.0 . && docker run -d -p 8080:3000 myapp:1.0

# Kubernetes
kubectl apply -f manifests/ --dry-run=client && kubectl apply -f manifests/ && kubectl rollout status deploy/myapp

# Terraform
terraform init && terraform plan -out=tfplan && terraform apply tfplan

# GCP Cloud Run
gcloud run deploy my-service --image gcr.io/PROJECT/img:tag --region us-central1

# Cloudflare Worker
wrangler deploy

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.