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Get Started Free →Manage performance lighthouse runner operations. Auto-activating skill for Frontend Development. Triggers on: performance lighthouse runner, performance lighthouse runner Part of the Frontend Development skill category. Use when working with performance lighthouse runner functionality. Trigger with phrases like "performance lighthouse runner", "performance runner", "performance".
.claude/skills/dicklesworthstone-performance-lighthouse-runner/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-03 | ✗→✓ | ▲ Improved | 51% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 17% | 0% |
| case-01 | ✓→✓ | ＝ Same ✓ | 44% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | 8% | 0% |
| case-04 | ✓→✓ | ＝ Same ✓ | 34% | 0% |
This skill provides automated assistance for performance lighthouse runner tasks within the Frontend Development domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with performance lighthouse runner" Result: Provides step-by-step guidance and generates appropriate configurations
| Error | Cause | Solution | |-------|-------|----------| | Configuration invalid | Missing required fields | Check documentation for required parameters | | Tool not found | Dependency not installed | Install required tools per prerequisites | | Permission denied | Insufficient access | Verify credentials and permissions |
Part of the Frontend Development skill category. Tags: react, vue, css, accessibility, web
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 12,582 | 14,854 | +18% | 1 | 1 | 0% | 1,538 | 2,210 | +44% | 0 | 0 | — |
case-02 | pass→pass | 11,481 | 9,893 | -14% | 1 | 1 | 0% | 1,135 | 1,229 | +8% | 0 | 0 | — |
case-03 | fail→pass | 14,597 | 16,798 | +15% | 1 | 1 | 0% | 1,660 | 2,503 | +51% | 0 | 0 | — |
case-04 | pass→pass | 11,959 | 12,027 | +1% | 1 | 1 | 0% | 1,299 | 1,735 | +34% | 0 | 0 | — |
case-05 | pass→pass | 9,506 | 10,227 | +8% | 1 | 1 | 0% | 842 | 1,244 | +48% | 0 | 0 | — |
case-06 | pass→pass | 7,217 | 8,124 | +13% | 1 | 1 | 0% | 356 | 878 | +147% | 0 | 0 | — |
case-07 | pass→pass | 8,294 | 9,190 | +11% | 1 | 1 | 0% | 596 | 1,052 | +77% | 0 | 0 | — |
case-08 | pass→pass | 17,747 | 15,071 | -15% | 1 | 1 | 0% | 2,427 | 2,249 | -7% | 0 | 0 | — |
case-09 | fail→fail | 15,075 | 14,510 | -4% | 1 | 1 | 0% | 2,016 | 2,315 | +15% | 0 | 0 | — |
case-10 | pass→pass | 13,570 | 16,058 | +18% | 1 | 1 | 0% | 1,593 | 2,292 | +44% | 0 | 0 | — |
case-11 | pass→pass | 8,291 | 8,774 | +6% | 1 | 1 | 0% | 612 | 866 | +42% | 0 | 0 | — |
case-12 | pass→pass | 15,885 | 16,769 | +6% | 1 | 1 | 0% | 2,198 | 2,556 | +16% | 0 | 0 | — |
case-13 | fail→pass | 17,248 | 17,339 | +1% | 1 | 1 | 0% | 2,307 | 2,695 | +17% | 0 | 0 | — |
case-14 | pass→pass | 9,486 | 10,807 | +14% | 1 | 1 | 0% | 795 | 1,166 | +47% | 0 | 0 | — |
case-15 | pass→pass | 7,177 | 12,971 | +81% | 1 | 1 | 0% | 1,370 | 1,835 | +34% | 0 | 0 | — |
case-16 | pass→pass | 8,637 | 8,944 | +4% | 1 | 1 | 0% | 706 | 1,024 | +45% | 0 | 0 | — |
case-17 | pass→pass | 3,992 | 9,241 | +131% | 1 | 1 | 0% | 781 | 1,150 | +47% | 0 | 0 | — |
case-18 | pass→pass | 5,097 | 3,485 | -32% | 1 | 1 | 0% | 963 | 956 | -1% | 0 | 0 | — |
case-19 | pass→pass | 10,825 | 6,521 | -40% | 1 | 1 | 0% | 986 | 1,469 | +49% | 0 | 0 | — |
case-20 | pass→pass | 7,116 | 9,722 | +37% | 1 | 1 | 0% | 1,090 | 1,209 | +11% | 0 | 0 | — |
case-21 | pass→pass | 3,269 | 3,333 | +2% | 1 | 1 | 0% | 478 | 893 | +87% | 0 | 0 | — |
case-22 | pass→pass | 13,782 | 11,692 | -15% | 1 | 1 | 0% | 2,673 | 1,644 | -38% | 0 | 0 | — |
case-23 | pass→pass | 14,365 | 16,607 | +16% | 1 | 1 | 0% | 1,726 | 2,161 | +25% | 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 +9 percentage points is the difference between those two pass rates over the 23 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.