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Get Started Free →Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes configurations.
.claude/skills/dokhacgiakhoa-k8s-manifest-generator/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-18 | ✗→✓ | ▲ Improved | -6% | 0% |
| case-05 | ✓→✓ | ＝ Same ✓ | 38% | 0% |
| case-06 | ✓→✓ | ＝ Same ✓ | 21% | 0% |
| case-12 | ✓→✓ | ＝ Same ✓ | 12% | 0% |
| case-07 | ✓→✓ | ＝ Same ✓ | -9% | 0% |
Step-by-step guidance for creating production-ready Kubernetes manifests including Deployments, Services, ConfigMaps, Secrets, and PersistentVolumeClaims.
Use this skill when you need to:
resources/implementation-playbook.md.resources/implementation-playbook.md for detailed patterns and examples.| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 17,370 | 49,942 | +188% | 1 | 1 | 0% | 3,593 | 4,362 | +21% | 0 | 0 | — |
case-02 | fail→fail | 11,726 | 12,692 | +8% | 1 | 1 | 0% | 2,294 | 2,800 | +22% | 0 | 0 | — |
case-03 | fail→fail | 13,099 | 16,221 | +24% | 1 | 1 | 0% | 2,546 | 2,756 | +8% | 0 | 0 | — |
case-04 | fail→fail | 13,044 | 11,893 | -9% | 1 | 1 | 0% | 2,319 | 2,711 | +17% | 0 | 0 | — |
case-05 | pass→pass | 9,326 | 9,609 | +3% | 1 | 1 | 0% | 1,450 | 2,006 | +38% | 0 | 0 | — |
case-06 | pass→pass | 7,609 | 11,678 | +53% | 1 | 1 | 0% | 1,656 | 1,999 | +21% | 0 | 0 | — |
case-12 | pass→pass | 15,019 | 13,647 | -9% | 1 | 1 | 0% | 2,776 | 3,112 | +12% | 0 | 0 | — |
case-07 | pass→pass | 10,178 | 9,617 | -6% | 1 | 1 | 0% | 1,886 | 1,713 | -9% | 0 | 0 | — |
case-08 | fail→fail | 7,043 | 7,851 | +11% | 1 | 1 | 0% | 1,425 | 1,745 | +22% | 0 | 0 | — |
case-09 | pass→pass | 15,845 | 15,999 | +1% | 1 | 1 | 0% | 2,457 | 2,922 | +19% | 0 | 0 | — |
case-10 | pass→pass | 7,442 | 11,895 | +60% | 1 | 1 | 0% | 1,574 | 2,800 | +78% | 0 | 0 | — |
case-11 | fail→fail | 16,933 | 19,222 | +14% | 1 | 1 | 0% | 2,944 | 4,483 | +52% | 0 | 0 | — |
case-13 | pass→pass | 5,945 | 7,569 | +27% | 1 | 1 | 0% | 1,147 | 1,479 | +29% | 0 | 0 | — |
case-14 | pass→pass | 5,547 | 10,326 | +86% | 1 | 1 | 0% | 1,167 | 2,269 | +94% | 0 | 0 | — |
case-15 | pass→pass | 5,120 | 9,049 | +77% | 1 | 1 | 0% | 932 | 1,927 | +107% | 0 | 0 | — |
case-16 | pass→pass | 6,846 | 6,811 | -1% | 1 | 1 | 0% | 1,212 | 1,308 | +8% | 0 | 0 | — |
case-17 | pass→pass | 6,820 | 12,597 | +85% | 1 | 1 | 0% | 1,428 | 2,171 | +52% | 0 | 0 | — |
case-18 | fail→pass | 14,015 | 9,313 | -34% | 1 | 1 | 0% | 2,286 | 2,151 | -6% | 0 | 0 | — |
case-19 | pass→pass | 9,879 | 14,355 | +45% | 1 | 1 | 0% | 1,613 | 2,479 | +54% | 0 | 0 | — |
case-20 | pass→pass | 12,395 | 19,924 | +61% | 1 | 1 | 0% | 2,565 | 3,868 | +51% | 0 | 0 | — |
case-21 | pass→pass | 19,078 | 34,629 | +82% | 1 | 1 | 0% | 3,885 | 6,242 | +61% | 0 | 0 | — |
case-22 | pass→pass | 8,172 | 8,657 | +6% | 1 | 1 | 0% | 1,541 | 1,859 | +21% | 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 +5 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.