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Get Started Free →Apple HIG guidance for system experience components: widgets, live activities, notifications, complications, home screen quick actions, top shelf, watch faces, app clips, and app shortcuts.
.claude/skills/sickn33-hig-components-system/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-11 | ✗→✓ | ▲ Improved | -52% | 0% |
| case-18 | ✗→✓ | ▲ Improved | 26% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 37% | 0% |
| case-04 | ✓→✓ | ＝ Same ✓ | 26% | 0% |
| case-10 | ✓→✓ | ＝ Same ✓ | 34% | 0% |
Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered.
| Reference | Topic | Key content | |---|---|---| | widgets.md | Widgets | Glanceable info, sizes, deep linking, timeline | | live-activities.md | Live Activities | Real-time tracking, Dynamic Island, Lock Screen | | notifications.md | Notifications | Attention, actions, grouping, content | | complications.md | Complications | Watch face data, families, budgeted updates | | home-screen-quick-actions.md | Quick actions | Haptic Touch, common tasks, SF Symbols | | top-shelf.md | Top shelf | Featured content, showcase | | app-clips.md | App Clips | Instant use, lightweight, focused task, NFC/QR | | watch-faces.md | Watch faces | Custom complications, face sharing | | app-shortcuts.md | App Shortcuts | Siri, Spotlight, voice triggers |
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This skill is applicable to execute the workflow or actions described in the overview.
User request:
> Use @hig-components-system for this task: Apple HIG guidance for system experience components: widgets, live activities, notifications, complications, home screen quick actions, top shelf, watch faces, app clips, and app shortcuts.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-03 | pass→pass | 12,669 | 10,439 | -18% | 1 | 1 | 0% | 1,965 | 2,701 | +37% | 0 | 0 | — |
case-04 | pass→pass | 17,017 | 13,224 | -22% | 1 | 1 | 0% | 2,482 | 3,124 | +26% | 0 | 0 | — |
case-10 | pass→pass | 13,185 | 11,609 | -12% | 1 | 1 | 0% | 2,045 | 2,740 | +34% | 0 | 0 | — |
case-01 | pass→pass | 12,457 | 18,020 | +45% | 1 | 1 | 0% | 1,920 | 3,550 | +85% | 0 | 0 | — |
case-02 | pass→pass | 13,847 | 11,880 | -14% | 1 | 1 | 0% | 2,218 | 3,002 | +35% | 0 | 0 | — |
case-05 | pass→pass | 14,456 | 12,032 | -17% | 1 | 1 | 0% | 2,277 | 2,888 | +27% | 0 | 0 | — |
case-06 | pass→pass | 11,856 | 12,550 | +6% | 1 | 1 | 0% | 1,987 | 3,138 | +58% | 0 | 0 | — |
case-07 | pass→pass | 14,302 | 11,973 | -16% | 1 | 1 | 0% | 2,294 | 2,929 | +28% | 0 | 0 | — |
case-08 | pass→pass | 14,212 | 13,427 | -6% | 1 | 1 | 0% | 2,199 | 3,138 | +43% | 0 | 0 | — |
case-09 | pass→pass | 11,363 | 10,115 | -11% | 1 | 1 | 0% | 1,825 | 2,478 | +36% | 0 | 0 | — |
case-11 | fail→pass | 53,321 | 18,557 | -65% | 1 | 1 | 0% | 8,219 | 3,926 | -52% | 0 | 0 | — |
case-12 | pass→pass | 15,079 | 12,890 | -15% | 1 | 1 | 0% | 2,385 | 3,142 | +32% | 0 | 0 | — |
case-13 | pass→pass | 28,591 | 12,675 | -56% | 1 | 1 | 0% | 1,998 | 2,961 | +48% | 0 | 0 | — |
case-14 | pass→pass | 16,740 | 14,949 | -11% | 1 | 1 | 0% | 2,511 | 3,297 | +31% | 0 | 0 | — |
case-15 | pass→pass | 15,052 | 10,426 | -31% | 1 | 1 | 0% | 2,237 | 2,662 | +19% | 0 | 0 | — |
case-16 | pass→pass | 17,115 | 12,997 | -24% | 1 | 1 | 0% | 2,874 | 3,239 | +13% | 0 | 0 | — |
case-17 | pass→pass | 10,307 | 7,762 | -25% | 1 | 1 | 0% | 1,512 | 2,220 | +47% | 0 | 0 | — |
case-18 | fail→pass | 17,186 | 13,810 | -20% | 1 | 1 | 0% | 2,622 | 3,293 | +26% | 0 | 0 | — |
case-19 | pass→pass | 12,702 | 9,268 | -27% | 1 | 1 | 0% | 2,311 | 2,714 | +17% | 0 | 0 | — |
case-20 | pass→pass | 11,420 | 10,128 | -11% | 1 | 1 | 0% | 1,922 | 2,708 | +41% | 0 | 0 | — |
case-21 | pass→pass | 10,898 | 10,953 | +1% | 1 | 1 | 0% | 1,968 | 2,931 | +49% | 0 | 0 | — |
case-22 | pass→pass | 11,381 | 9,184 | -19% | 1 | 1 | 0% | 2,031 | 2,685 | +32% | 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 +9 percentage points is the difference between those two pass rates over the 22 comparable cases.
The publisher has shipped newer versions since this run, so these numbers describe v1, not the version currently listed.
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.