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Get Started Free →Analyze thread dump analyzer operations. Auto-activating skill for Performance Testing. Triggers on: thread dump analyzer, thread dump analyzer Part of the Performance Testing skill category. Use when analyzing or auditing thread dump analyzer. Trigger with phrases like "thread dump analyzer", "thread analyzer", "analyze thread dump r".
.claude/skills/dicklesworthstone-thread-dump-analyzer/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-20 | ✗→✓ | ▲ Improved | 31% | 0% |
| case-01 | ✓→✓ | ＝ Same ✓ | 18% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | 19% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 3% | 0% |
| case-04 | ✓→✓ | ＝ Same ✓ | 35% | 0% |
This skill provides automated assistance for thread dump analyzer tasks within the Performance Testing domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with thread dump 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 Performance Testing skill category. Tags: performance, load-testing, k6, jmeter, benchmarking
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 14,668 | 20,128 | +37% | 1 | 1 | 0% | 2,485 | 2,942 | +18% | 0 | 0 | — |
case-02 | pass→pass | 15,992 | 21,264 | +33% | 1 | 1 | 0% | 2,730 | 3,252 | +19% | 0 | 0 | — |
case-03 | pass→pass | 11,834 | 11,171 | -6% | 1 | 1 | 0% | 2,244 | 2,306 | +3% | 0 | 0 | — |
case-04 | pass→pass | 12,679 | 15,074 | +19% | 1 | 1 | 0% | 2,487 | 3,364 | +35% | 0 | 0 | — |
case-05 | pass→pass | 15,665 | 18,698 | +19% | 1 | 1 | 0% | 2,735 | 2,961 | +8% | 0 | 0 | — |
case-06 | pass→pass | 16,201 | 13,755 | -15% | 1 | 1 | 0% | 2,187 | 2,515 | +15% | 0 | 0 | — |
case-07 | pass→pass | 21,706 | 19,355 | -11% | 1 | 1 | 0% | 2,899 | 2,735 | -6% | 0 | 0 | — |
case-08 | pass→pass | 22,683 | 26,283 | +16% | 1 | 1 | 0% | 3,175 | 4,313 | +36% | 0 | 0 | — |
case-09 | pass→pass | 20,946 | 14,940 | -29% | 1 | 1 | 0% | 2,717 | 3,009 | +11% | 0 | 0 | — |
case-10 | pass→pass | 17,185 | 18,318 | +7% | 1 | 1 | 0% | 2,091 | 2,588 | +24% | 0 | 0 | — |
case-11 | pass→pass | 20,069 | 20,271 | +1% | 1 | 1 | 0% | 2,310 | 3,931 | +70% | 0 | 0 | — |
case-12 | pass→pass | 28,649 | 26,406 | -8% | 1 | 1 | 0% | 3,786 | 3,885 | +3% | 0 | 0 | — |
case-13 | pass→pass | 19,596 | 15,098 | -23% | 1 | 1 | 0% | 2,674 | 3,009 | +13% | 0 | 0 | — |
case-14 | pass→pass | 19,412 | 21,537 | +11% | 1 | 1 | 0% | 2,601 | 3,056 | +17% | 0 | 0 | — |
case-15 | pass→pass | 11,421 | 7,815 | -32% | 1 | 1 | 0% | 1,863 | 1,777 | -5% | 0 | 0 | — |
case-16 | pass→pass | 27,568 | 21,912 | -21% | 1 | 1 | 0% | 3,252 | 3,267 | +0% | 0 | 0 | — |
case-17 | pass→pass | 21,819 | 22,856 | +5% | 1 | 1 | 0% | 3,004 | 3,384 | +13% | 0 | 0 | — |
case-18 | pass→pass | 11,767 | 11,351 | -4% | 1 | 1 | 0% | 1,264 | 1,463 | +16% | 0 | 0 | — |
case-19 | pass→pass | 22,627 | 19,928 | -12% | 1 | 1 | 0% | 2,576 | 3,290 | +28% | 0 | 0 | — |
case-20 | fail→pass | 12,554 | 14,572 | +16% | 1 | 1 | 0% | 2,451 | 3,200 | +31% | 0 | 0 | — |
case-21 | pass→pass | 13,198 | 15,238 | +15% | 1 | 1 | 0% | 1,927 | 2,309 | +20% | 0 | 0 | — |
case-22 | pass→pass | 13,805 | 13,603 | -1% | 1 | 1 | 0% | 1,759 | 2,111 | +20% | 0 | 0 | — |
case-23 | pass→pass | 14,439 | 13,525 | -6% | 1 | 1 | 0% | 1,654 | 1,887 | +14% | 0 | 0 | — |
case-24 | pass→pass | 16,841 | 17,035 | +1% | 1 | 1 | 0% | 2,944 | 3,322 | +13% | 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. 24 cases were attempted. The headline lift of +4 percentage points is the difference between those two pass rates over the 24 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.