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Get Started Free →Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
.claude/skills/dokhacgiakhoa-async-python-patterns/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-21 | ✗→✓ | ▲ Improved | 31% | 0% |
| case-02 | ✓→✗ | ▼ Worse | -26% | 0% |
| case-20 | ✓→✗ | ▼ Worse | 21% | 0% |
| case-17 | ✓→✓ | ＝ Same ✓ | -3% | 0% |
| case-04 | ✓→✓ | ＝ Same ✓ | -6% | 0% |
Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
resources/implementation-playbook.md.Refer to resources/implementation-playbook.md for detailed patterns and examples.
resources/implementation-playbook.md for detailed patterns and examples.| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-17 | pass→pass | 18,719 | 18,478 | -1% | 1 | 1 | 0% | 3,436 | 3,320 | -3% | 0 | 0 | — |
case-01 | fail→fail | 27,040 | 15,209 | -44% | 1 | 1 | 0% | 4,563 | 3,620 | -21% | 0 | 0 | — |
case-02 | pass→fail | 35,726 | 30,361 | -15% | 1 | 1 | 0% | 7,436 | 5,505 | -26% | 0 | 0 | — |
case-03 | fail→fail | 33,329 | 27,611 | -17% | 1 | 1 | 0% | 7,102 | 5,758 | -19% | 0 | 0 | — |
case-04 | pass→pass | 13,440 | 10,902 | -19% | 1 | 1 | 0% | 2,527 | 2,365 | -6% | 0 | 0 | — |
case-05 | pass→pass | 8,395 | 9,202 | +10% | 1 | 1 | 0% | 1,594 | 1,710 | +7% | 0 | 0 | — |
case-06 | pass→pass | 16,233 | 15,150 | -7% | 1 | 1 | 0% | 2,946 | 2,861 | -3% | 0 | 0 | — |
case-07 | pass→pass | 15,067 | 19,245 | +28% | 1 | 1 | 0% | 3,077 | 4,284 | +39% | 0 | 0 | — |
case-08 | pass→pass | 16,868 | 22,338 | +32% | 1 | 1 | 0% | 3,212 | 3,840 | +20% | 0 | 0 | — |
case-09 | fail→fail | 19,376 | 23,137 | +19% | 1 | 1 | 0% | 4,164 | 3,920 | -6% | 0 | 0 | — |
case-10 | pass→pass | 14,753 | 13,471 | -9% | 1 | 1 | 0% | 2,838 | 3,043 | +7% | 0 | 0 | — |
case-11 | pass→pass | 18,708 | 16,890 | -10% | 1 | 1 | 0% | 3,545 | 3,898 | +10% | 0 | 0 | — |
case-18 | fail→fail | 21,039 | 21,422 | +2% | 1 | 1 | 0% | 4,021 | 3,536 | -12% | 0 | 0 | — |
case-12 | pass→pass | 21,763 | 30,135 | +38% | 1 | 1 | 0% | 4,207 | 5,317 | +26% | 0 | 0 | — |
case-13 | fail→fail | 16,385 | 18,287 | +12% | 1 | 1 | 0% | 2,797 | 3,139 | +12% | 0 | 0 | — |
case-14 | fail→fail | 19,987 | 19,266 | -4% | 1 | 1 | 0% | 3,788 | 3,946 | +4% | 0 | 0 | — |
case-15 | pass→pass | 21,951 | 28,214 | +29% | 1 | 1 | 0% | 4,065 | 4,754 | +17% | 0 | 0 | — |
case-16 | pass→pass | 24,452 | 21,833 | -11% | 1 | 1 | 0% | 5,011 | 4,890 | -2% | 0 | 0 | — |
case-19 | fail→fail | 22,095 | 18,698 | -15% | 1 | 1 | 0% | 4,430 | 4,129 | -7% | 0 | 0 | — |
case-20 | pass→fail | 17,385 | 18,570 | +7% | 1 | 1 | 0% | 3,190 | 3,870 | +21% | 0 | 0 | — |
case-21 | fail→pass | 27,861 | 33,808 | +21% | 1 | 1 | 0% | 4,551 | 5,954 | +31% | 0 | 0 | — |
case-22 | fail→fail | 21,639 | 21,928 | +1% | 1 | 1 | 0% | 4,357 | 3,866 | -11% | 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 -40 percentage points is the difference between those two pass rates over the 22 comparable cases. 3 cases got worse with the skill loaded, and they are included in that figure.
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.