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Infrastructure as Code patterns (Terraform, Kubernetes), observability design (SLOs, metrics, alerting, dashboards), and pipeline security stages. Load when designing infrastructure, observability, or security scanning.
Passed 19 of 22 test cases with the skill, and 15 of 22 without it.
and 2 more in the full report
5 fixed14 passed either way2 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
In a Kubernetes HorizontalPodAutoscaler manifest using API autoscaling/v2 targeting a Deployment, what target average utilization percentage should be configured for the memory resource metric?
| Checked | Without skill | With skill |
|---|---|---|
| Configures memory resource target averageUtilization to 80 | Missed | Passed |
The instructions your model reads when the skill loads.
main.tf (resource definitions) | variables.tf (input declarations) | outputs.tf (output declarations) | versions.tf (provider/terraform version constraints) | README.md (module docs).
Remote backend: S3/GCS/Azure Blob with state locking. State locking: DynamoDB/Cloud Storage/Azure Blob lease. Workspace strategy: one workspace per environment (dev/staging/prod).
Never commit secrets -- use secret managers | Encrypt state at rest | Use OIDC for CI/CD auth | Least privilege IAM roles.
Reproducibility (same input, same output) | Idempotency (safe to run multiple times) | Immutability (replace, do not modify) | Version control (track all changes).
Pods | Deployments | Services | Ingress | ConfigMaps | Secrets | PersistentVolumes | RBAC | NetworkPolicies | PodSecurityPolicies | Operators | Custom Resources | Controllers.
Multi-tenancy with namespaces | Resource quotas and limits | Pod disruption budgets | Horizontal and vertical autoscaling.
apiVersion: apps/v1
kind: Deployment
metadata:
name: {{ .name }}
labels:
app: {{ .name }}
version: {{ .version }}
spec:
replicas: {{ .replicas }}
test cases passed, vs 15 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.