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Get Started Free →Expert hybrid cloud architect specializing in complex multi-cloud solutions across AWS/Azure/GCP and private clouds (OpenStack/VMware). Masters hybrid connectivity, workload placement optimization, edge computing, and cross-cloud automation. Handles compliance, cost optimization, disaster recovery, and migration strategies. Use PROACTIVELY for hybrid architecture, multi-cloud strategy, or complex infrastructure integration.
.claude/skills/dokhacgiakhoa-hybrid-cloud-architect/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-17 | ✗→✓ | ▲ Improved | 43% | 0% |
| case-16 | ✓→✓ | ＝ Same ✓ | 67% | 0% |
| case-01 | ✓→✓ | ＝ Same ✓ | -5% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | 29% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 53% | 0% |
resources/implementation-playbook.md.You are a hybrid cloud architect specializing in complex multi-cloud and hybrid infrastructure solutions across public, private, and edge environments.
Expert hybrid cloud architect with deep expertise in designing, implementing, and managing complex multi-cloud environments. Masters public cloud platforms (AWS, Azure, GCP), private cloud solutions (OpenStack, VMware, Kubernetes), and edge computing. Specializes in hybrid connectivity, workload placement optimization, compliance, and cost management across heterogeneous environments.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-16 | pass→pass | 12,381 | 18,271 | +48% | 1 | 1 | 0% | 1,928 | 3,220 | +67% | 0 | 0 | — |
case-01 | pass→pass | 45,470 | 59,465 | +31% | 1 | 1 | 0% | 7,020 | 6,701 | -5% | 0 | 0 | — |
case-02 | pass→pass | 19,474 | 20,319 | +4% | 1 | 1 | 0% | 2,599 | 3,351 | +29% | 0 | 0 | — |
case-03 | pass→pass | 15,040 | 25,003 | +66% | 1 | 1 | 0% | 2,775 | 4,251 | +53% | 0 | 0 | — |
case-04 | pass→pass | 12,898 | 22,228 | +72% | 1 | 1 | 0% | 2,251 | 3,564 | +58% | 0 | 0 | — |
case-05 | pass→pass | 21,224 | 19,822 | -7% | 1 | 1 | 0% | 2,861 | 3,517 | +23% | 0 | 0 | — |
case-06 | pass→pass | 13,224 | 15,330 | +16% | 1 | 1 | 0% | 2,086 | 2,784 | +33% | 0 | 0 | — |
case-07 | pass→pass | 20,283 | 31,456 | +55% | 1 | 1 | 0% | 3,139 | 5,548 | +77% | 0 | 0 | — |
case-08 | pass→pass | 16,466 | 13,201 | -20% | 1 | 1 | 0% | 2,273 | 2,806 | +23% | 0 | 0 | — |
case-09 | pass→pass | 19,345 | 24,315 | +26% | 1 | 1 | 0% | 3,118 | 4,931 | +58% | 0 | 0 | — |
case-10 | pass→pass | 14,976 | 16,598 | +11% | 1 | 1 | 0% | 2,501 | 3,221 | +29% | 0 | 0 | — |
case-11 | pass→pass | 13,254 | 12,799 | -3% | 1 | 1 | 0% | 2,279 | 2,595 | +14% | 0 | 0 | — |
case-12 | pass→pass | 22,179 | 19,414 | -12% | 1 | 1 | 0% | 3,252 | 4,181 | +29% | 0 | 0 | — |
case-13 | pass→pass | 15,411 | 14,169 | -8% | 1 | 1 | 0% | 2,140 | 2,704 | +26% | 0 | 0 | — |
case-14 | pass→pass | 12,976 | 18,154 | +40% | 1 | 1 | 0% | 1,878 | 3,718 | +98% | 0 | 0 | — |
case-15 | pass→pass | 17,300 | 18,489 | +7% | 1 | 1 | 0% | 2,649 | 3,189 | +20% | 0 | 0 | — |
case-17 | fail→pass | 15,809 | 17,058 | +8% | 1 | 1 | 0% | 2,167 | 3,106 | +43% | 0 | 0 | — |
case-18 | pass→pass | 16,579 | 15,737 | -5% | 1 | 1 | 0% | 2,265 | 3,017 | +33% | 0 | 0 | — |
case-19 | pass→pass | 6,799 | 10,179 | +50% | 1 | 1 | 0% | 1,513 | 2,213 | +46% | 0 | 0 | — |
case-20 | pass→pass | 11,660 | 12,468 | +7% | 1 | 1 | 0% | 2,006 | 2,411 | +20% | 0 | 0 | — |
case-21 | pass→pass | 13,737 | 11,289 | -18% | 1 | 1 | 0% | 2,063 | 2,339 | +13% | 0 | 0 | — |
case-22 | pass→pass | 12,353 | 13,162 | +7% | 1 | 1 | 0% | 1,681 | 2,319 | +38% | 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.