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Get Started Free →Register and manage global keyboard shortcuts across desktop platforms
.claude/skills/a5c-ai-global-shortcut-manager/SKILL.md| Model | Eval pass | Runs |
|---|---|---|
| gemini-3.6-flash | 100% | 68 |
| gemini-3.1-pro-preview | 100% | 3 |
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | -40% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -36% | 0% |
| case-04 | ✗→✓ | ▲ Improved | -56% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 28% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -56% | 0% |
Register and manage global keyboard shortcuts that work even when the application is not focused.
json{ "type": "object", "properties": { "projectPath": { "type": "string" }, "framework": { "enum": ["electron", "tauri", "native"] }, "shortcuts": { "type": "array" } }, "required": ["projectPath"] }
javascriptconst { globalShortcut } = require('electron'); function registerShortcuts() { globalShortcut.register('CommandOrControl+Shift+X', () => { console.log('Global shortcut triggered'); }); } app.on('will-quit', () => { globalShortcut.unregisterAll(); });
clipboard-handlersystem-services-integration process| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 25,954 | 11,506 | -56% | 1 | 1 | 0% | 4,409 | 2,645 | -40% | 0 | 0 | — |
case-02 | pass→pass | 6,796 | 4,865 | -28% | 1 | 1 | 0% | 1,394 | 1,212 | -13% | 0 | 0 | — |
case-03 | fail→pass | 7,216 | 2,412 | -67% | 1 | 1 | 0% | 1,208 | 776 | -36% | 0 | 0 | — |
case-04 | fail→pass | 7,427 | 2,737 | -63% | 1 | 1 | 0% | 1,730 | 767 | -56% | 0 | 0 | — |
case-05 | fail→pass | 3,722 | 3,157 | -15% | 1 | 1 | 0% | 471 | 601 | +28% | 0 | 0 | — |
case-06 | fail→pass | 10,940 | 2,576 | -76% | 1 | 1 | 0% | 1,574 | 696 | -56% | 0 | 0 | — |
case-07 | pass→pass | 5,410 | 2,867 | -47% | 1 | 1 | 0% | 990 | 737 | -26% | 0 | 0 | — |
case-08 | pass→pass | 2,387 | 2,386 | -0% | 1 | 1 | 0% | 382 | 646 | +69% | 0 | 0 | — |
case-09 | pass→pass | 12,593 | 6,583 | -48% | 1 | 1 | 0% | 2,451 | 1,582 | -35% | 0 | 0 | — |
case-10 | pass→pass | 12,608 | 7,305 | -42% | 1 | 1 | 0% | 2,419 | 1,444 | -40% | 0 | 0 | — |
case-11 | pass→pass | 10,789 | 10,692 | -1% | 1 | 1 | 0% | 2,329 | 2,473 | +6% | 0 | 0 | — |
case-12 | pass→pass | 8,233 | 4,831 | -41% | 1 | 1 | 0% | 1,399 | 981 | -30% | 0 | 0 | — |
case-13 | pass→pass | 2,772 | 2,737 | -1% | 1 | 1 | 0% | 509 | 702 | +38% | 0 | 0 | — |
case-14 | pass→pass | 2,661 | 2,182 | -18% | 1 | 1 | 0% | 509 | 694 | +36% | 0 | 0 | — |
case-15 | pass→pass | 7,427 | 6,747 | -9% | 1 | 1 | 0% | 1,415 | 1,580 | +12% | 0 | 0 | — |
case-16 | fail→pass | 7,686 | 2,196 | -71% | 1 | 1 | 0% | 1,289 | 633 | -51% | 0 | 0 | — |
case-17 | pass→pass | 2,318 | 2,064 | -11% | 1 | 1 | 0% | 415 | 546 | +32% | 0 | 0 | — |
case-18 | pass→pass | 7,323 | 1,702 | -77% | 1 | 1 | 0% | 1,203 | 495 | -59% | 0 | 0 | — |
case-19 | pass→pass | 5,752 | 4,975 | -14% | 1 | 1 | 0% | 965 | 1,186 | +23% | 0 | 0 | — |
case-20 | pass→pass | 4,098 | 5,619 | +37% | 1 | 1 | 0% | 708 | 1,418 | +100% | 0 | 0 | — |
case-21 | pass→pass | 12,514 | 9,568 | -24% | 1 | 1 | 0% | 2,254 | 2,085 | -7% | 0 | 0 | — |
case-22 | pass→pass | 2,591 | 2,219 | -14% | 1 | 1 | 0% | 447 | 677 | +51% | 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 +27 percentage points is the difference between those two pass rates over the 22 comparable cases.
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.