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Get Started Free →Unity UI Toolkit skill for runtime UI development, USS styling, UXML templates, and custom visual elements.
.claude/skills/a5c-ai-unity-ui-toolkit/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 11% | 0% |
| case-18 | ✗→✓ | ▲ Improved | -6% | 0% |
| case-16 | ✓→✗ | ▼ Worse | -9% | 0% |
| case-02 | ✓→✓ | = Same ✓ | 30% | 0% |
| case-04 | ✓→✓ | = Same ✓ | 54% | 0% |
UI Toolkit development for Unity runtime and editor interfaces.
This skill provides capabilities for building user interfaces using Unity's UI Toolkit, including UXML templates, USS styling, and custom visual elements.
xml<ui:UXML xmlns:ui="UnityEngine.UIElements"> <ui:VisualElement class="container"> <ui:Label name="health-label" text="Health: 100" /> <ui:ProgressBar name="health-bar" value="100" /> <ui:Button name="heal-button" text="Heal" /> </ui:VisualElement> </ui:UXML>
css.container { flex-direction: column; padding: 10px; background-color: rgba(0, 0, 0, 0.8); } #health-bar { height: 20px; margin: 5px 0; } #heal-button:hover { background-color: #4CAF50; }
csharppublic class HealthUI : MonoBehaviour { [SerializeField] private UIDocument uiDocument; private ProgressBar healthBar; void Start() { var root = uiDocument.rootVisualElement; healthBar = root.Q<ProgressBar>("health-bar"); root.Q<Button>("heal-button").clicked += OnHealClicked; } void OnHealClicked() { /* Handle heal */ } }
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 10,556 | 15,142 | +43% | 1 | 1 | 0% | 2,145 | 2,384 | +11% | 0 | 0 | — |
case-02 | pass→pass | 4,884 | 3,394 | -31% | 1 | 1 | 0% | 926 | 1,205 | +30% | 0 | 0 | — |
case-03 | fail→fail | 11,176 | 10,263 | -8% | 1 | 1 | 0% | 1,789 | 2,686 | +50% | 0 | 0 | — |
case-04 | pass→pass | 3,708 | 3,519 | -5% | 1 | 1 | 0% | 783 | 1,209 | +54% | 0 | 0 | — |
case-05 | pass→pass | 7,506 | 7,660 | +2% | 1 | 1 | 0% | 1,373 | 1,679 | +22% | 0 | 0 | — |
case-06 | pass→pass | 3,411 | 3,125 | -8% | 1 | 1 | 0% | 610 | 1,092 | +79% | 0 | 0 | — |
case-07 | pass→pass | 2,525 | 2,703 | +7% | 1 | 1 | 0% | 385 | 982 | +155% | 0 | 0 | — |
case-08 | pass→pass | 5,142 | 5,260 | +2% | 1 | 1 | 0% | 841 | 1,319 | +57% | 0 | 0 | — |
case-09 | pass→pass | 5,063 | 2,125 | -58% | 1 | 1 | 0% | 713 | 900 | +26% | 0 | 0 | — |
case-10 | pass→pass | 3,294 | 1,987 | -40% | 1 | 1 | 0% | 423 | 823 | +95% | 0 | 0 | — |
case-11 | pass→pass | 2,812 | 2,009 | -29% | 1 | 1 | 0% | 481 | 931 | +94% | 0 | 0 | — |
case-12 | pass→pass | 8,257 | 6,887 | -17% | 1 | 1 | 0% | 1,567 | 1,899 | +21% | 0 | 0 | — |
case-13 | pass→pass | 2,885 | 2,711 | -6% | 1 | 1 | 0% | 540 | 1,000 | +85% | 0 | 0 | — |
case-14 | pass→pass | 5,228 | 4,323 | -17% | 1 | 1 | 0% | 983 | 1,249 | +27% | 0 | 0 | — |
case-15 | pass→pass | 2,278 | 3,055 | +34% | 1 | 1 | 0% | 371 | 955 | +157% | 0 | 0 | — |
case-16 | pass→fail | 7,870 | 4,177 | -47% | 1 | 1 | 0% | 1,386 | 1,261 | -9% | 0 | 0 | — |
case-17 | pass→pass | 2,986 | 17,805 | +496% | 1 | 1 | 0% | 575 | 1,012 | +76% | 0 | 0 | — |
case-18 | fail→pass | 25,662 | 16,147 | -37% | 1 | 1 | 0% | 4,219 | 3,948 | -6% | 0 | 0 | — |
case-19 | pass→pass | 3,886 | 3,288 | -15% | 1 | 1 | 0% | 734 | 1,189 | +62% | 0 | 0 | — |
case-20 | pass→pass | 8,760 | 6,591 | -25% | 1 | 1 | 0% | 1,428 | 1,979 | +39% | 0 | 0 | — |
case-21 | pass→pass | 5,693 | 5,041 | -11% | 1 | 1 | 0% | 1,065 | 1,588 | +49% | 0 | 0 | — |
case-22 | pass→pass | 12,420 | 7,416 | -40% | 1 | 1 | 0% | 1,891 | 2,146 | +13% | 0 | 0 | — |
case-23 | pass→pass | 3,449 | 2,233 | -35% | 1 | 1 | 0% | 466 | 979 | +110% | 0 | 0 | — |
case-24 | pass→pass | 7,967 | 7,514 | -6% | 1 | 1 | 0% | 1,504 | 1,994 | +33% | 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 +4 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.