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Get Started Free →Implements infrastructure as code using Terraform, Kubernetes, and cloud platforms. Designs scalable architectures, CI/CD pipelines, and observability solutions. Provides security-first DevOps practices and site reliability engineering guidance.
.claude/skills/davila7-devops-iac-engineer/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-11 | ✗→✓ | ▲ Improved | 95% | 0% |
| case-16 | ✗→✓ | ▲ Improved | 43% | 0% |
| case-06 | ✓→✓ | = Same ✓ | 95% | 0% |
| case-04 | ✓→✓ | = Same ✓ | 89% | 0% |
| case-07 | ✓→✓ | = Same ✓ | 53% | 0% |
This Skill helps DevOps teams design, implement, and maintain cloud infrastructure using Infrastructure as Code principles. Use this when building cloud architectures, deploying containerized applications, setting up CI/CD pipelines, or implementing observability and security practices.
When implementing infrastructure, follow this structured approach:
Multi-Cloud Requirements → Terraform or Pulumi AWS-Only → Terraform, AWS CDK, or CloudFormation Container Orchestration → Kubernetes (EKS, GKE, AKS) Simple Container Deployment → ECS, Cloud Run, or App Service Configuration Management → Ansible or cloud-native solutions GitOps Workflows → ArgoCD or Flux CI/CD Pipelines → GitHub Actions, GitLab CI, or Jenkins
Problem: Infrastructure drift between code and reality Solution: Implement automated drift detection, use terraform plan in CI/CD, enable read-only production access, maintain state file integrity
Problem: Secrets management and credential exposure Solution: Use cloud-native secret managers (AWS Secrets Manager, HashiCorp Vault), implement SOPS for encrypted secrets in Git, use IRSA/workload identity
Problem: High cloud costs and unexpected bills Solution: Implement tagging strategy, use cost allocation tags, set up budget alerts, right-size resources, use spot instances, implement auto-scaling
Problem: Complex Kubernetes configurations Solution: Use Helm charts for templating, implement Kustomize for environment-specific configs, follow GitOps patterns, use operators for complex workloads
Note: Always verify current infrastructure state, security requirements, and compliance needs before implementing changes. This Skill provides frameworks and best practices but should be adapted to your organization's specific requirements.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-06 | pass→pass | 8,748 | 8,875 | +1% | 1 | 1 | 0% | 1,480 | 2,888 | +95% | 0 | 0 | — |
case-01 | fail→fail | 11,511 | 12,801 | +11% | 1 | 1 | 0% | 2,765 | 4,525 | +64% | 0 | 0 | — |
case-02 | fail→fail | 11,192 | 12,101 | +8% | 1 | 1 | 0% | 1,923 | 3,613 | +88% | 0 | 0 | — |
case-03 | fail→fail | 19,967 | 20,265 | +1% | 1 | 1 | 0% | 4,415 | 6,155 | +39% | 0 | 0 | — |
case-04 | pass→pass | 10,757 | 11,296 | +5% | 1 | 1 | 0% | 1,830 | 3,461 | +89% | 0 | 0 | — |
case-05 | fail→fail | 9,100 | 7,954 | -13% | 1 | 1 | 0% | 1,590 | 2,817 | +77% | 0 | 0 | — |
case-07 | pass→pass | 10,362 | 8,713 | -16% | 1 | 1 | 0% | 1,937 | 2,958 | +53% | 0 | 0 | — |
case-08 | pass→pass | 9,329 | 14,977 | +61% | 1 | 1 | 0% | 1,804 | 3,941 | +118% | 0 | 0 | — |
case-09 | pass→pass | 8,001 | 10,203 | +28% | 1 | 1 | 0% | 1,392 | 3,110 | +123% | 0 | 0 | — |
case-10 | pass→pass | 6,094 | 6,724 | +10% | 1 | 1 | 0% | 1,126 | 2,780 | +147% | 0 | 0 | — |
case-11 | fail→pass | 9,911 | 14,245 | +44% | 1 | 1 | 0% | 1,970 | 3,837 | +95% | 0 | 0 | — |
case-12 | pass→pass | 9,950 | 6,746 | -32% | 1 | 1 | 0% | 1,854 | 2,604 | +40% | 0 | 0 | — |
case-13 | pass→pass | 15,692 | 15,817 | +1% | 1 | 1 | 0% | 2,684 | 4,168 | +55% | 0 | 0 | — |
case-14 | pass→pass | 13,922 | 17,089 | +23% | 1 | 1 | 0% | 2,662 | 4,530 | +70% | 0 | 0 | — |
case-15 | pass→pass | 6,646 | 2,603 | -61% | 1 | 1 | 0% | 1,162 | 1,775 | +53% | 0 | 0 | — |
case-16 | fail→pass | 12,129 | 8,290 | -32% | 1 | 1 | 0% | 1,909 | 2,736 | +43% | 0 | 0 | — |
case-17 | pass→pass | 4,143 | 5,124 | +24% | 1 | 1 | 0% | 798 | 2,293 | +187% | 0 | 0 | — |
case-18 | pass→pass | 3,590 | 3,043 | -15% | 1 | 1 | 0% | 576 | 1,841 | +220% | 0 | 0 | — |
case-19 | pass→pass | 2,299 | 3,099 | +35% | 1 | 1 | 0% | 413 | 1,845 | +347% | 0 | 0 | — |
case-20 | pass→pass | 4,810 | 3,954 | -18% | 1 | 1 | 0% | 810 | 1,947 | +140% | 0 | 0 | — |
case-21 | pass→pass | 15,136 | 16,495 | +9% | 1 | 1 | 0% | 2,670 | 4,369 | +64% | 0 | 0 | — |
case-22 | pass→pass | 3,654 | 2,878 | -21% | 1 | 1 | 0% | 581 | 1,831 | +215% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +9 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.