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Get Started Free →Configure tensorflow serving setup operations. Auto-activating skill for ML Deployment. Triggers on: tensorflow serving setup, tensorflow serving setup Part of the ML Deployment skill category. Use when working with tensorflow serving setup functionality. Trigger with phrases like "tensorflow serving setup", "tensorflow setup", "tensorflow".
.claude/skills/dicklesworthstone-tensorflow-serving-setup/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-16 | ✓→✗ | ▼ Worse | 33% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | 14% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 27% | 0% |
| case-04 | ✓→✓ | ＝ Same ✓ | 37% | 0% |
| case-05 | ✓→✓ | ＝ Same ✓ | 8% | 0% |
This skill provides automated assistance for tensorflow serving setup tasks within the ML Deployment domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with tensorflow serving setup" 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 ML Deployment skill category. Tags: mlops, serving, inference, monitoring, production
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 10,109 | 11,035 | +9% | 1 | 1 | 0% | 1,047 | 1,498 | +43% | 0 | 0 | — |
case-02 | pass→pass | 10,501 | 9,743 | -7% | 1 | 1 | 0% | 1,142 | 1,301 | +14% | 0 | 0 | — |
case-03 | pass→pass | 10,554 | 10,695 | +1% | 1 | 1 | 0% | 1,203 | 1,524 | +27% | 0 | 0 | — |
case-04 | pass→pass | 11,258 | 11,099 | -1% | 1 | 1 | 0% | 1,102 | 1,511 | +37% | 0 | 0 | — |
case-05 | pass→pass | 22,742 | 10,979 | -52% | 1 | 1 | 0% | 1,362 | 1,472 | +8% | 0 | 0 | — |
case-06 | pass→pass | 11,442 | 12,314 | +8% | 1 | 1 | 0% | 1,397 | 1,832 | +31% | 0 | 0 | — |
case-07 | pass→pass | 13,830 | 11,602 | -16% | 1 | 1 | 0% | 1,756 | 1,673 | -5% | 0 | 0 | — |
case-08 | pass→pass | 7,925 | 9,165 | +16% | 1 | 1 | 0% | 548 | 1,120 | +104% | 0 | 0 | — |
case-09 | pass→pass | 12,879 | 11,937 | -7% | 1 | 1 | 0% | 1,426 | 1,562 | +10% | 0 | 0 | — |
case-10 | pass→pass | 9,308 | 8,642 | -7% | 1 | 1 | 0% | 808 | 1,088 | +35% | 0 | 0 | — |
case-11 | pass→pass | 6,337 | 10,203 | +61% | 1 | 1 | 0% | 1,242 | 1,325 | +7% | 0 | 0 | — |
case-12 | pass→pass | 11,266 | 12,906 | +15% | 1 | 1 | 0% | 1,338 | 1,950 | +46% | 0 | 0 | — |
case-13 | pass→pass | 15,009 | 13,998 | -7% | 1 | 1 | 0% | 2,003 | 2,158 | +8% | 0 | 0 | — |
case-14 | pass→pass | 14,746 | 16,382 | +11% | 1 | 1 | 0% | 1,917 | 2,647 | +38% | 0 | 0 | — |
case-15 | pass→pass | 11,699 | 11,208 | -4% | 1 | 1 | 0% | 1,206 | 1,449 | +20% | 0 | 0 | — |
case-16 | pass→fail | 13,994 | 10,819 | -23% | 1 | 1 | 0% | 1,794 | 2,380 | +33% | 0 | 0 | — |
case-17 | pass→pass | 2,755 | 4,934 | +79% | 1 | 1 | 0% | 486 | 1,192 | +145% | 0 | 0 | — |
case-18 | fail→fail | 10,405 | 8,821 | -15% | 1 | 1 | 0% | 1,742 | 2,086 | +20% | 0 | 0 | — |
case-19 | pass→pass | 8,870 | 9,369 | +6% | 1 | 1 | 0% | 767 | 1,181 | +54% | 0 | 0 | — |
case-20 | fail→fail | 12,877 | 7,365 | -43% | 1 | 1 | 0% | 1,571 | 1,798 | +14% | 0 | 0 | — |
case-21 | pass→pass | 5,495 | 11,528 | +110% | 1 | 1 | 0% | 1,086 | 1,611 | +48% | 0 | 0 | — |
case-22 | pass→pass | 11,488 | 12,195 | +6% | 1 | 1 | 0% | 1,192 | 1,698 | +42% | 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 -100 percentage points is the difference between those two pass rates over the 22 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Other measured skills in the registry, with their headline benchmark lift.