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Get Started Free →Analyze responsive breakpoint analyzer operations. Auto-activating skill for Frontend Development. Triggers on: responsive breakpoint analyzer, responsive breakpoint analyzer Part of the Frontend Development skill category. Use when analyzing or auditing responsive breakpoint analyzer. Trigger with phrases like "responsive breakpoint analyzer", "responsive analyzer", "analyze responsive breakpoint r".
.claude/skills/dicklesworthstone-responsive-breakpoint-analyzer/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-15 | ✗→✓ | ▲ Improved | 35% | 0% |
| case-01 | ✓→✓ | ＝ Same ✓ | -7% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | 58% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 23% | 0% |
| case-04 | ✓→✓ | ＝ Same ✓ | 41% | 0% |
This skill provides automated assistance for responsive breakpoint analyzer tasks within the Frontend Development domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with responsive breakpoint analyzer" 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 | 13,877 | 11,420 | -18% | 1 | 1 | 0% | 1,648 | 1,536 | -7% | 0 | 0 | — |
case-02 | pass→pass | 8,564 | 4,075 | -52% | 1 | 1 | 0% | 710 | 1,119 | +58% | 0 | 0 | — |
case-03 | pass→pass | 10,733 | 4,627 | -57% | 1 | 1 | 0% | 1,044 | 1,285 | +23% | 0 | 0 | — |
case-04 | pass→pass | 5,590 | 11,061 | +98% | 1 | 1 | 0% | 1,024 | 1,439 | +41% | 0 | 0 | — |
case-05 | pass→pass | 8,119 | 8,326 | +3% | 1 | 1 | 0% | 1,886 | 2,082 | +10% | 0 | 0 | — |
case-06 | pass→pass | 11,200 | 17,446 | +56% | 1 | 1 | 0% | 2,290 | 2,951 | +29% | 0 | 0 | — |
case-07 | pass→pass | 19,128 | 15,633 | -18% | 1 | 1 | 0% | 2,766 | 3,625 | +31% | 0 | 0 | — |
case-08 | pass→pass | 9,173 | 3,541 | -61% | 1 | 1 | 0% | 694 | 910 | +31% | 0 | 0 | — |
case-09 | pass→pass | 3,892 | 8,546 | +120% | 1 | 1 | 0% | 712 | 920 | +29% | 0 | 0 | — |
case-10 | pass→pass | 13,741 | 13,877 | +1% | 1 | 1 | 0% | 1,543 | 1,924 | +25% | 0 | 0 | — |
case-11 | pass→pass | 7,486 | 4,161 | -44% | 1 | 1 | 0% | 1,379 | 1,089 | -21% | 0 | 0 | — |
case-12 | fail→fail | 16,115 | 12,117 | -25% | 1 | 1 | 0% | 2,103 | 2,581 | +23% | 0 | 0 | — |
case-13 | pass→pass | 9,615 | 12,876 | +34% | 1 | 1 | 0% | 797 | 1,828 | +129% | 0 | 0 | — |
case-14 | pass→pass | 4,100 | 8,148 | +99% | 1 | 1 | 0% | 783 | 966 | +23% | 0 | 0 | — |
case-15 | fail→pass | 10,121 | 10,420 | +3% | 1 | 1 | 0% | 1,112 | 1,505 | +35% | 0 | 0 | — |
case-16 | pass→pass | 5,592 | 5,562 | -1% | 1 | 1 | 0% | 1,173 | 1,496 | +28% | 0 | 0 | — |
case-17 | pass→pass | 16,400 | 20,895 | +27% | 1 | 1 | 0% | 2,745 | 3,091 | +13% | 0 | 0 | — |
case-18 | pass→pass | 10,038 | 13,913 | +39% | 1 | 1 | 0% | 2,019 | 2,163 | +7% | 0 | 0 | — |
case-19 | pass→pass | 9,899 | 14,086 | +42% | 1 | 1 | 0% | 863 | 1,901 | +120% | 0 | 0 | — |
case-20 | pass→pass | 12,724 | 12,263 | -4% | 1 | 1 | 0% | 1,276 | 1,640 | +29% | 0 | 0 | — |
case-21 | pass→pass | 16,042 | 15,084 | -6% | 1 | 1 | 0% | 2,073 | 2,225 | +7% | 0 | 0 | — |
case-22 | pass→pass | 7,215 | 7,859 | +9% | 1 | 1 | 0% | 1,371 | 1,529 | +12% | 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 +5 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.