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Get Started Free →Manage long polling handler operations. Auto-activating skill for API Integration. Triggers on: long polling handler, long polling handler Part of the API Integration skill category. Use when working with long polling handler functionality. Trigger with phrases like "long polling handler", "long handler", "long".
.claude/skills/dicklesworthstone-long-polling-handler/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-19 | ✗→✓ | ▲ Improved | 60% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 12% | 0% |
| case-01 | ✓→✓ | ＝ Same ✓ | 26% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | -8% | 0% |
| case-04 | ✓→✓ | ＝ Same ✓ | 5% | 0% |
This skill provides automated assistance for long polling handler tasks within the API Integration domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with long polling handler" 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 API Integration skill category. Tags: integration, webhooks, sdk, oauth, third-party
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-03 | pass→pass | 13,010 | 12,038 | -7% | 1 | 1 | 0% | 1,314 | 1,469 | +12% | 0 | 0 | — |
case-01 | pass→pass | 20,817 | 21,620 | +4% | 1 | 1 | 0% | 2,789 | 3,528 | +26% | 0 | 0 | — |
case-02 | pass→pass | 16,981 | 14,118 | -17% | 1 | 1 | 0% | 2,043 | 1,878 | -8% | 0 | 0 | — |
case-04 | pass→pass | 18,343 | 17,681 | -4% | 1 | 1 | 0% | 2,226 | 2,339 | +5% | 0 | 0 | — |
case-05 | pass→pass | 18,249 | 21,797 | +19% | 1 | 1 | 0% | 2,173 | 3,420 | +57% | 0 | 0 | — |
case-06 | pass→pass | 18,831 | 20,279 | +8% | 1 | 1 | 0% | 2,418 | 3,077 | +27% | 0 | 0 | — |
case-07 | pass→pass | 18,550 | 16,344 | -12% | 1 | 1 | 0% | 2,103 | 2,255 | +7% | 0 | 0 | — |
case-08 | pass→pass | 17,856 | 19,461 | +9% | 1 | 1 | 0% | 2,124 | 2,764 | +30% | 0 | 0 | — |
case-09 | pass→pass | 12,209 | 11,957 | -2% | 1 | 1 | 0% | 1,257 | 1,512 | +20% | 0 | 0 | — |
case-10 | pass→pass | 14,798 | 15,012 | +1% | 1 | 1 | 0% | 1,463 | 2,005 | +37% | 0 | 0 | — |
case-11 | pass→pass | 16,272 | 18,378 | +13% | 1 | 1 | 0% | 1,905 | 2,581 | +35% | 0 | 0 | — |
case-12 | pass→pass | 18,005 | 18,807 | +4% | 1 | 1 | 0% | 1,964 | 2,429 | +24% | 0 | 0 | — |
case-13 | pass→pass | 18,481 | 18,786 | +2% | 1 | 1 | 0% | 2,002 | 2,576 | +29% | 0 | 0 | — |
case-14 | pass→pass | 15,914 | 17,524 | +10% | 1 | 1 | 0% | 1,715 | 2,474 | +44% | 0 | 0 | — |
case-15 | pass→pass | 22,093 | 23,358 | +6% | 1 | 1 | 0% | 2,579 | 3,229 | +25% | 0 | 0 | — |
case-16 | pass→pass | 20,216 | 19,785 | -2% | 1 | 1 | 0% | 2,451 | 2,855 | +16% | 0 | 0 | — |
case-17 | pass→pass | 16,768 | 19,130 | +14% | 1 | 1 | 0% | 1,972 | 2,875 | +46% | 0 | 0 | — |
case-18 | pass→pass | 19,211 | 18,217 | -5% | 1 | 1 | 0% | 2,371 | 2,358 | -1% | 0 | 0 | — |
case-19 | fail→pass | 10,190 | 10,868 | +7% | 1 | 1 | 0% | 880 | 1,408 | +60% | 0 | 0 | — |
case-20 | pass→pass | 14,562 | 13,483 | -7% | 1 | 1 | 0% | 1,634 | 1,906 | +17% | 0 | 0 | — |
case-21 | pass→pass | 14,717 | 14,838 | +1% | 1 | 1 | 0% | 1,500 | 1,971 | +31% | 0 | 0 | — |
case-22 | pass→pass | 22,390 | 23,269 | +4% | 1 | 1 | 0% | 2,795 | 3,420 | +22% | 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.