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Get Started Free →Generate redux slice generator operations. Auto-activating skill for Frontend Development. Triggers on: redux slice generator, redux slice generator Part of the Frontend Development skill category. Use when working with redux slice generator functionality. Trigger with phrases like "redux slice generator", "redux generator", "redux".
.claude/skills/dicklesworthstone-redux-slice-generator/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-09 | ✗→✓ | ▲ Improved | 36% | 0% |
| case-21 | ✗→✓ | ▲ Improved | 22% | 0% |
| case-01 | ✓→✓ | = Same ✓ | 26% | 0% |
| case-02 | ✓→✓ | = Same ✓ | 0% | 0% |
| case-03 | ✓→✓ | = Same ✓ | 46% | 0% |
This skill provides automated assistance for redux slice generator tasks within the Frontend Development domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with redux slice generator" 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 | 15,087 | 31,788 | +111% | 1 | 1 | 0% | 2,462 | 3,113 | +26% | 0 | 0 | — |
case-02 | pass→pass | 9,728 | 6,714 | -31% | 1 | 1 | 0% | 1,582 | 1,586 | +0% | 0 | 0 | — |
case-03 | pass→pass | 8,131 | 11,003 | +35% | 1 | 1 | 0% | 1,578 | 2,311 | +46% | 0 | 0 | — |
case-04 | pass→pass | 11,703 | 15,137 | +29% | 1 | 1 | 0% | 2,438 | 2,762 | +13% | 0 | 0 | — |
case-05 | pass→pass | 8,255 | 11,877 | +44% | 1 | 1 | 0% | 1,604 | 2,191 | +37% | 0 | 0 | — |
case-06 | pass→pass | 10,461 | 10,873 | +4% | 1 | 1 | 0% | 1,697 | 2,139 | +26% | 0 | 0 | — |
case-07 | pass→pass | 12,323 | 9,018 | -27% | 1 | 1 | 0% | 1,941 | 2,193 | +13% | 0 | 0 | — |
case-08 | pass→pass | 8,957 | 11,450 | +28% | 1 | 1 | 0% | 1,666 | 2,651 | +59% | 0 | 0 | — |
case-09 | fail→pass | 10,975 | 12,032 | +10% | 1 | 1 | 0% | 2,094 | 2,852 | +36% | 0 | 0 | — |
case-10 | pass→pass | 5,792 | 4,970 | -14% | 1 | 1 | 0% | 865 | 1,276 | +48% | 0 | 0 | — |
case-11 | pass→pass | 11,367 | 21,051 | +85% | 1 | 1 | 0% | 2,379 | 4,649 | +95% | 0 | 0 | — |
case-12 | pass→pass | 2,175 | 2,448 | +13% | 1 | 1 | 0% | 302 | 709 | +135% | 0 | 0 | — |
case-13 | pass→pass | 10,639 | 9,244 | -13% | 1 | 1 | 0% | 1,767 | 2,178 | +23% | 0 | 0 | — |
case-14 | pass→pass | 13,459 | 10,487 | -22% | 1 | 1 | 0% | 2,110 | 2,387 | +13% | 0 | 0 | — |
case-15 | pass→pass | 15,771 | 17,218 | +9% | 1 | 1 | 0% | 3,209 | 3,876 | +21% | 0 | 0 | — |
case-16 | pass→pass | 10,323 | 13,156 | +27% | 1 | 1 | 0% | 2,082 | 3,223 | +55% | 0 | 0 | — |
case-17 | pass→pass | 11,497 | 13,684 | +19% | 1 | 1 | 0% | 2,299 | 3,134 | +36% | 0 | 0 | — |
case-18 | pass→pass | 12,323 | 12,712 | +3% | 1 | 1 | 0% | 1,798 | 2,821 | +57% | 0 | 0 | — |
case-19 | pass→pass | 10,490 | 11,327 | +8% | 1 | 1 | 0% | 1,978 | 2,490 | +26% | 0 | 0 | — |
case-20 | pass→pass | 9,801 | 12,505 | +28% | 1 | 1 | 0% | 1,590 | 2,275 | +43% | 0 | 0 | — |
case-21 | fail→pass | 10,911 | 10,890 | -0% | 1 | 1 | 0% | 2,014 | 2,464 | +22% | 0 | 0 | — |
case-22 | pass→pass | 8,660 | 10,406 | +20% | 1 | 1 | 0% | 1,517 | 1,723 | +14% | 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.
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.