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Get Started Free →You are a Rust project architecture expert specializing in scaffolding production-ready Rust applications. Generate complete project structures with cargo tooling, proper module organization, testing
.claude/skills/dokhacgiakhoa-systems-programming-rust-project/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-16 | ✗→✓ | ▲ Improved | 14% | 0% |
| case-05 | ✓→✗ | ▼ Worse | -18% | 0% |
| case-01 | ✓→✓ | ＝ Same ✓ | 48% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | 21% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 37% | 0% |
You are a Rust project architecture expert specializing in scaffolding production-ready Rust applications. Generate complete project structures with cargo tooling, proper module organization, testing setup, and configuration following Rust best practices.
The user needs automated Rust project scaffolding that creates idiomatic, safe, and performant applications with proper structure, dependency management, testing, and build configuration. Focus on Rust idioms and scalable architecture.
$ARGUMENTS
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 15,483 | 21,681 | +40% | 1 | 1 | 0% | 2,461 | 3,641 | +48% | 0 | 0 | — |
case-02 | pass→pass | 22,514 | 16,096 | -29% | 1 | 1 | 0% | 3,270 | 3,948 | +21% | 0 | 0 | — |
case-03 | pass→pass | 10,333 | 15,698 | +52% | 1 | 1 | 0% | 1,950 | 2,681 | +37% | 0 | 0 | — |
case-04 | pass→pass | 13,675 | 14,532 | +6% | 1 | 1 | 0% | 1,672 | 2,133 | +28% | 0 | 0 | — |
case-05 | pass→fail | 14,021 | 9,847 | -30% | 1 | 1 | 0% | 2,508 | 2,062 | -18% | 0 | 0 | — |
case-06 | pass→pass | 6,740 | 10,241 | +52% | 1 | 1 | 0% | 1,366 | 1,282 | -6% | 0 | 0 | — |
case-07 | pass→pass | 7,685 | 7,719 | +0% | 1 | 1 | 0% | 1,488 | 1,913 | +29% | 0 | 0 | — |
case-08 | pass→pass | 11,224 | 9,311 | -17% | 1 | 1 | 0% | 1,244 | 1,119 | -10% | 0 | 0 | — |
case-09 | pass→pass | 18,547 | 18,707 | +1% | 1 | 1 | 0% | 2,859 | 3,495 | +22% | 0 | 0 | — |
case-10 | pass→pass | 9,453 | 9,397 | -1% | 1 | 1 | 0% | 1,784 | 2,100 | +18% | 0 | 0 | — |
case-11 | pass→pass | 14,999 | 12,873 | -14% | 1 | 1 | 0% | 1,825 | 1,919 | +5% | 0 | 0 | — |
case-12 | pass→pass | 17,161 | 18,697 | +9% | 1 | 1 | 0% | 2,487 | 3,288 | +32% | 0 | 0 | — |
case-13 | pass→pass | 13,092 | 12,654 | -3% | 1 | 1 | 0% | 1,358 | 1,668 | +23% | 0 | 0 | — |
case-14 | pass→pass | 12,541 | 16,654 | +33% | 1 | 1 | 0% | 2,135 | 2,214 | +4% | 0 | 0 | — |
case-15 | pass→pass | 18,147 | 18,131 | -0% | 1 | 1 | 0% | 2,347 | 2,731 | +16% | 0 | 0 | — |
case-16 | fail→pass | 12,710 | 12,243 | -4% | 1 | 1 | 0% | 1,578 | 1,803 | +14% | 0 | 0 | — |
case-17 | pass→pass | 14,129 | 14,822 | +5% | 1 | 1 | 0% | 1,767 | 2,308 | +31% | 0 | 0 | — |
case-18 | pass→pass | 18,266 | 19,765 | +8% | 1 | 1 | 0% | 2,432 | 3,281 | +35% | 0 | 0 | — |
case-19 | pass→pass | 19,744 | 19,292 | -2% | 1 | 1 | 0% | 2,743 | 3,023 | +10% | 0 | 0 | — |
case-20 | pass→pass | 4,711 | 5,042 | +7% | 1 | 1 | 0% | 893 | 1,346 | +51% | 0 | 0 | — |
case-21 | pass→pass | 16,222 | 12,120 | -25% | 1 | 1 | 0% | 3,140 | 2,683 | -15% | 0 | 0 | — |
case-22 | pass→pass | 26,475 | 34,276 | +29% | 1 | 1 | 0% | 4,629 | 7,119 | +54% | 0 | 0 | — |
case-23 | pass→pass | 12,761 | 17,433 | +37% | 1 | 1 | 0% | 2,483 | 2,840 | +14% | 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. The headline lift of 0 percentage points is the difference between those two pass rates over the 23 comparable cases. 1 case got worse with the skill loaded, and it is 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.