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Get Started Free →Expert skill in big data focusing on cloud domain applications. Covers 126 topics across cloud domain. Includes 126 skill files covering ASPICE Level 3, AUTOSAR 4.4, ISO 21434, ISO 26262.
.claude/skills/pangzhenying2025-automotive-cloud/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 629% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 569% | 0% |
| case-15 | ✗→✓ | ▲ Improved | 1225% | 0% |
| case-21 | ✓→✓ | = Same ✓ | 281% | 0% |
| case-05 | ✓→✓ | = Same ✓ | 575% | 0% |
126 skill files covering cloud domain for automotive software engineering.
Expert in big data for automotive cloud systems.
Expert in big data for automotive cloud systems.
Expert in big data for automotive cloud systems.
Expert in big data for automotive cloud systems.
Expert in big data for automotive cloud systems.
Expert in big data for automotive cloud systems.
Expert in big data for automotive cloud systems.
Expert in big data for automotive cloud systems.
Expert in big data for automotive cloud systems.
Expert in big data for automotive cloud systems.
Expert in big data for automotive cloud systems.
Expert in big data for automotive cloud systems.
Expert in big data for automotive cloud systems.
Expert in big data for automotive cloud systems.
Expert in cloud connectivity for automotive cloud systems.
Expert in cloud connectivity for automotive cloud systems.
Expert in cloud connectivity for automotive cloud systems.
Expert in cloud connectivity for automotive cloud systems.
Expert in cloud connectivity for automotive cloud systems.
Expert in cloud connectivity for automotive cloud systems.
Expert in cloud connectivity for automotive cloud systems.
Expert in cloud connectivity for automotive cloud systems.
Expert in cloud connectivity for automotive cloud systems.
Expert in cloud connectivity for automotive cloud systems.
Expert in cloud connectivity for automotive cloud systems.
Expert in cloud connectivity for automotive cloud systems.
Expert in cloud connectivity for automotive cloud systems.
Expert in cloud connectivity for automotive cloud systems.
Expert in cloud services for automotive cloud systems.
Expert in cloud services for automotive cloud systems.
Expert in cloud services for automotive cloud systems.
Expert in cloud services for automotive cloud systems.
Expert in cloud services for automotive cloud systems.
Expert in cloud services for automotive cloud systems.
Expert in cloud services for automotive cloud systems.
Expert in cloud services for automotive cloud systems.
Expert in cloud services for automotive cloud systems.
Expert in cloud services for automotive cloud systems.
Expert in cloud services for automotive cloud systems.
Expert in cloud services for automotive cloud systems.
Expert in cloud services for automotive cloud systems.
Expert in cloud services for automotive cloud systems.
Expert in data analytics for automotive cloud systems.
Expert in data analytics for automotive cloud systems.
Expert in data analytics for automotive cloud systems.
Expert in data analytics for automotive cloud systems.
Expert in data analytics for automotive cloud systems.
Expert in data analytics for automotive cloud systems.
Expert in data analytics for automotive cloud systems.
Expert in data analytics for automotive cloud systems.
Expert in data analytics for automotive cloud systems.
Expert in data analytics for automotive cloud systems.
Expert in data analytics for automotive cloud systems.
Expert in data analytics for automotive cloud systems.
Expert in data analytics for automotive cloud systems.
Expert in data analytics for automotive cloud systems.
Expert in edge computing for automotive cloud systems.
Expert in edge computing for automotive cloud systems.
Expert in edge computing for automotive cloud systems.
Expert in edge computing for automotive cloud systems.
Expert in edge computing for automotive cloud systems.
Expert in edge computing for automotive cloud systems.
Expert in edge computing for automotive cloud systems.
Expert in edge computing for automotive cloud systems.
Expert in edge computing for automotive cloud systems.
Expert in edge computing for automotive cloud systems.
Expert in edge computing for automotive cloud systems.
Expert in edge computing for automotive cloud systems.
Expert in edge computing for automotive cloud systems.
Expert in edge computing for automotive cloud systems.
Expert in fleet management for automotive cloud systems.
Expert in fleet management for automotive cloud systems.
Expert in fleet management for automotive cloud systems.
Expert in fleet management for automotive cloud systems.
Expert in fleet management for automotive cloud systems.
Expert in fleet management for automotive cloud systems.
Expert in fleet management for automotive cloud systems.
Expert in fleet management for automotive cloud systems.
Expert in fleet management for automotive cloud systems.
Expert in fleet management for automotive cloud systems.
Expert in fleet management for automotive cloud systems.
Expert in fleet management for automotive cloud systems.
Expert in fleet management for automotive cloud systems.
Expert in fleet management for automotive cloud systems.
Expert in machine learning ops for automotive cloud systems.
Expert in machine learning ops for automotive cloud systems.
Expert in machine learning ops for automotive cloud systems.
Expert in machine learning ops for automotive cloud systems.
Expert in machine learning ops for automotive cloud systems.
Expert in machine learning ops for automotive cloud systems.
Expert in machine learning ops for automotive cloud systems.
Expert in machine learning ops for automotive cloud systems.
Expert in machine learning ops for automotive cloud systems.
Expert in machine learning ops for automotive cloud systems.
Expert in machine learning ops for automotive cloud systems.
Expert in machine learning ops for automotive cloud systems.
Expert in machine learning ops for automotive cloud systems.
Expert in machine learning ops for automotive cloud systems.
Expert in predictive analytics for automotive cloud systems.
Expert in predictive analytics for automotive cloud systems.
Expert in predictive analytics for automotive cloud systems.
Expert in predictive analytics for automotive cloud systems.
Expert in predictive analytics for automotive cloud systems.
Expert in predictive analytics for automotive cloud systems.
Expert in predictive analytics for automotive cloud systems.
Expert in predictive analytics for automotive cloud systems.
Expert in predictive analytics for automotive cloud systems.
Expert in predictive analytics for automotive cloud systems.
Expert in predictive analytics for automotive cloud systems.
Expert in predictive analytics for automotive cloud systems.
Expert in predictive analytics for automotive cloud systems.
Expert in predictive analytics for automotive cloud systems.
Expert in remote monitoring for automotive cloud systems.
Expert in remote monitoring for automotive cloud systems.
Expert in remote monitoring for automotive cloud systems.
Expert in remote monitoring for automotive cloud systems.
Expert in remote monitoring for automotive cloud systems.
Expert in remote monitoring for automotive cloud systems.
Expert in remote monitoring for automotive cloud systems.
Expert in remote monitoring for automotive cloud systems.
Expert in remote monitoring for automotive cloud systems.
Expert in remote monitoring for automotive cloud systems.
Expert in remote monitoring for automotive cloud systems.
Expert in remote monitoring for automotive cloud systems.
Expert in remote monitoring for automotive cloud systems.
Expert in remote monitoring for automotive cloud systems.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-21 | pass→pass | 20,345 | 24,038 | +18% | 1 | 1 | 0% | 4,873 | 18,582 | +281% | 0 | 0 | — |
case-01 | fail→fail | 27,697 | 26,531 | -4% | 1 | 1 | 0% | 6,223 | 19,635 | +216% | 0 | 0 | — |
case-02 | fail→fail | 29,253 | 31,404 | +7% | 1 | 1 | 0% | 6,205 | 19,617 | +216% | 0 | 0 | — |
case-03 | fail→fail | 27,548 | 27,145 | -1% | 1 | 1 | 0% | 6,201 | 19,613 | +216% | 0 | 0 | — |
case-04 | fail→pass | 10,894 | 27,837 | +156% | 1 | 1 | 0% | 1,995 | 14,537 | +629% | 0 | 0 | — |
case-05 | pass→pass | 13,411 | 18,717 | +40% | 1 | 1 | 0% | 2,550 | 17,222 | +575% | 0 | 0 | — |
case-06 | pass→pass | 16,405 | 22,766 | +39% | 1 | 1 | 0% | 3,244 | 18,345 | +466% | 0 | 0 | — |
case-16 | pass→pass | 17,582 | 15,752 | -10% | 1 | 1 | 0% | 2,688 | 16,663 | +520% | 0 | 0 | — |
case-07 | pass→pass | 9,149 | 9,299 | +2% | 1 | 1 | 0% | 1,733 | 15,200 | +777% | 0 | 0 | — |
case-08 | pass→pass | 12,460 | 6,485 | -48% | 1 | 1 | 0% | 2,465 | 14,646 | +494% | 0 | 0 | — |
case-09 | pass→pass | 17,646 | 20,979 | +19% | 1 | 1 | 0% | 2,696 | 18,101 | +571% | 0 | 0 | — |
case-10 | pass→pass | 13,790 | 7,227 | -48% | 1 | 1 | 0% | 2,854 | 14,760 | +417% | 0 | 0 | — |
case-11 | pass→pass | 15,821 | 13,159 | -17% | 1 | 1 | 0% | 2,925 | 15,729 | +438% | 0 | 0 | — |
case-12 | fail→pass | 12,621 | 12,205 | -3% | 1 | 1 | 0% | 2,361 | 15,795 | +569% | 0 | 0 | — |
case-13 | pass→pass | 9,712 | 8,290 | -15% | 1 | 1 | 0% | 1,797 | 15,023 | +736% | 0 | 0 | — |
case-14 | fail→fail | 14,816 | 15,096 | +2% | 1 | 1 | 0% | 2,962 | 16,333 | +451% | 0 | 0 | — |
case-15 | fail→pass | 20,942 | 5,939 | -72% | 1 | 1 | 0% | 1,093 | 14,480 | +1225% | 0 | 0 | — |
case-17 | pass→pass | 8,539 | 5,740 | -33% | 1 | 1 | 0% | 1,699 | 14,447 | +750% | 0 | 0 | — |
case-18 | pass→pass | 13,513 | 12,763 | -6% | 1 | 1 | 0% | 2,546 | 15,888 | +524% | 0 | 0 | — |
case-19 | pass→pass | 8,399 | 7,880 | -6% | 1 | 1 | 0% | 1,625 | 14,914 | +818% | 0 | 0 | — |
case-20 | pass→pass | 11,699 | 12,654 | +8% | 1 | 1 | 0% | 2,993 | 16,507 | +452% | 0 | 0 | — |
case-22 | pass→pass | 15,907 | 20,738 | +30% | 1 | 1 | 0% | 3,801 | 18,784 | +394% | 0 | 0 | — |
case-23 | pass→pass | 18,698 | 22,996 | +23% | 1 | 1 | 0% | 4,976 | 19,573 | +293% | 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. 23 cases were attempted, and 22 counted toward the lift figure. The other 1 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +13 percentage points is the difference between those two pass rates over the 22 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
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.