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Get Started Free →Generates Angular 17+ standalone components, configures advanced routing with lazy loading and guards, implements NgRx state management, applies RxJS patterns, and optimizes bundle performance.
.claude/skills/paperclipai-angular-architect/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 36% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -20% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 0% | 0% |
| case-19 | ✗→✓ | ▲ Improved | -26% | 0% |
| case-23 | ✓→✗ | ▼ Worse | 14% | 0% |
name: angular-architect description: > Generates Angular 17+ standalone components, configures advanced routing with lazy loading and guards, implements NgRx state management, applies RxJS patterns, and optimizes bundle performance. metadata: sources:
repo: jeffallan/claude-skills path: skills/angular-architect/SKILL.md commit: 3bf9a24b76a7c122f1fc05e83929fbc84e1c207a attribution: Jeffallan license: MIT usage: referenced
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 20,810 | 18,310 | -12% | 1 | 1 | 0% | 3,772 | 5,113 | +36% | 0 | 0 | — |
case-02 | pass→pass | 5,795 | 6,519 | +12% | 1 | 1 | 0% | 1,185 | 1,390 | +17% | 0 | 0 | — |
case-03 | fail→pass | 15,270 | 12,131 | -21% | 1 | 1 | 0% | 3,437 | 2,746 | -20% | 0 | 0 | — |
case-04 | pass→pass | 8,611 | 6,907 | -20% | 1 | 1 | 0% | 1,741 | 1,563 | -10% | 0 | 0 | — |
case-05 | pass→pass | 7,720 | 6,955 | -10% | 1 | 1 | 0% | 1,458 | 1,494 | +2% | 0 | 0 | — |
case-06 | pass→pass | 8,622 | 6,930 | -20% | 1 | 1 | 0% | 1,531 | 1,414 | -8% | 0 | 0 | — |
case-07 | pass→pass | 13,384 | 12,133 | -9% | 1 | 1 | 0% | 2,171 | 2,788 | +28% | 0 | 0 | — |
case-08 | fail→pass | 10,730 | 7,734 | -28% | 1 | 1 | 0% | 1,722 | 1,718 | -0% | 0 | 0 | — |
case-09 | pass→pass | 9,272 | 8,581 | -7% | 1 | 1 | 0% | 2,026 | 1,799 | -11% | 0 | 0 | — |
case-10 | pass→pass | 10,120 | 13,204 | +30% | 1 | 1 | 0% | 2,198 | 2,360 | +7% | 0 | 0 | — |
case-11 | pass→pass | 9,161 | 10,757 | +17% | 1 | 1 | 0% | 1,997 | 2,079 | +4% | 0 | 0 | — |
case-12 | pass→pass | 3,569 | 4,408 | +24% | 1 | 1 | 0% | 655 | 990 | +51% | 0 | 0 | — |
case-21 | pass→pass | 14,317 | 11,703 | -18% | 1 | 1 | 0% | 2,562 | 2,057 | -20% | 0 | 0 | — |
case-13 | pass→pass | 14,793 | 10,058 | -32% | 1 | 1 | 0% | 2,429 | 1,851 | -24% | 0 | 0 | — |
case-14 | pass→pass | 23,210 | 17,366 | -25% | 1 | 1 | 0% | 4,639 | 3,792 | -18% | 0 | 0 | — |
case-15 | pass→pass | 11,155 | 10,260 | -8% | 1 | 1 | 0% | 2,338 | 2,509 | +7% | 0 | 0 | — |
case-16 | pass→pass | 10,525 | 7,922 | -25% | 1 | 1 | 0% | 2,186 | 1,900 | -13% | 0 | 0 | — |
case-22 | pass→pass | 11,219 | 11,488 | +2% | 1 | 1 | 0% | 2,374 | 2,190 | -8% | 0 | 0 | — |
case-17 | pass→pass | 10,909 | 11,244 | +3% | 1 | 1 | 0% | 2,417 | 2,671 | +11% | 0 | 0 | — |
case-18 | pass→pass | 11,283 | 11,101 | -2% | 1 | 1 | 0% | 2,287 | 2,504 | +9% | 0 | 0 | — |
case-19 | fail→pass | 9,252 | 7,247 | -22% | 1 | 1 | 0% | 2,042 | 1,518 | -26% | 0 | 0 | — |
case-20 | pass→pass | 5,768 | 5,298 | -8% | 1 | 1 | 0% | 747 | 1,009 | +35% | 0 | 0 | — |
case-23 | pass→fail | 11,729 | 13,170 | +12% | 1 | 1 | 0% | 1,997 | 2,275 | +14% | 0 | 0 | — |
case-24 | pass→pass | 6,016 | 5,576 | -7% | 1 | 1 | 0% | 1,203 | 1,248 | +4% | 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. 24 cases were attempted. The headline lift of +13 percentage points is the difference between those two pass rates over the 24 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.