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Get Started Free →Drive implementation with a strict red-green-refactor test loop. Use this when implementing a new feature, changing behavior, or fixing a bug in any codebase that has automated tests or should have them, especially when the user says "add", "implement", "build", "fix", or "make it do X". Also use it to lock a bug fix in place with a regression test before touching the production code.
.claude/skills/adityaarakeri-tdd-loop/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-16 | ✗→✓ | ▲ Improved | -44% | 0% |
| case-20 | ✗→✓ | ▲ Improved | -38% | 0% |
| case-03 | ✓→✗ | ▼ Worse | 17% | 0% |
| case-04 | ✓→✗ | ▼ Worse | -84% | 0% |
| case-10 | ✓→✓ | = Same ✓ | 8% | 0% |
Use a failing behavior test as the executable specification.
evaluate-ai-changes rather than pretending one unit test proves quality.| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-10 | pass→pass | 9,759 | 8,992 | -8% | 1 | 1 | 0% | 1,702 | 1,840 | +8% | 0 | 0 | — |
case-11 | pass→pass | 10,922 | 5,505 | -50% | 1 | 1 | 0% | 1,763 | 1,355 | -23% | 0 | 0 | — |
case-01 | fail→fail | 17,150 | 10,075 | -41% | 1 | 1 | 0% | 3,835 | 560 | -85% | 0 | 0 | — |
case-02 | fail→fail | 8,944 | 5,096 | -43% | 1 | 1 | 0% | 1,723 | 1,317 | -24% | 0 | 0 | — |
case-03 | pass→fail | 3,288 | 4,081 | +24% | 1 | 1 | 0% | 520 | 609 | +17% | 0 | 0 | — |
case-04 | pass→fail | 20,318 | 17,961 | -12% | 1 | 1 | 0% | 3,653 | 596 | -84% | 0 | 0 | — |
case-05 | pass→pass | 18,750 | 19,588 | +4% | 1 | 1 | 0% | 3,703 | 4,308 | +16% | 0 | 0 | — |
case-06 | pass→pass | 8,354 | 4,951 | -41% | 1 | 1 | 0% | 1,289 | 1,133 | -12% | 0 | 0 | — |
case-07 | pass→pass | 11,865 | 3,355 | -72% | 1 | 1 | 0% | 1,427 | 963 | -33% | 0 | 0 | — |
case-08 | pass→pass | 14,076 | 11,541 | -18% | 1 | 1 | 0% | 2,487 | 2,443 | -2% | 0 | 0 | — |
case-09 | pass→pass | 10,110 | 5,534 | -45% | 1 | 1 | 0% | 1,813 | 1,287 | -29% | 0 | 0 | — |
case-12 | pass→pass | 10,379 | 6,161 | -41% | 1 | 1 | 0% | 1,713 | 1,447 | -16% | 0 | 0 | — |
case-13 | pass→pass | 6,811 | 4,291 | -37% | 1 | 1 | 0% | 1,219 | 1,129 | -7% | 0 | 0 | — |
case-14 | pass→pass | 7,494 | 4,158 | -45% | 1 | 1 | 0% | 1,252 | 1,031 | -18% | 0 | 0 | — |
case-15 | pass→pass | 11,975 | 13,660 | +14% | 1 | 1 | 0% | 2,229 | 2,047 | -8% | 0 | 0 | — |
case-16 | fail→pass | 8,475 | 3,129 | -63% | 1 | 1 | 0% | 1,478 | 823 | -44% | 0 | 0 | — |
case-17 | pass→pass | 11,478 | 7,750 | -32% | 1 | 1 | 0% | 1,914 | 1,630 | -15% | 0 | 0 | — |
case-18 | pass→pass | 9,279 | 4,748 | -49% | 1 | 1 | 0% | 1,697 | 1,135 | -33% | 0 | 0 | — |
case-19 | pass→pass | 10,670 | 3,401 | -68% | 1 | 1 | 0% | 1,112 | 894 | -20% | 0 | 0 | — |
case-20 | fail→pass | 7,149 | 2,418 | -66% | 1 | 1 | 0% | 1,291 | 795 | -38% | 0 | 0 | — |
case-21 | pass→pass | 4,138 | 3,023 | -27% | 1 | 1 | 0% | 734 | 886 | +21% | 0 | 0 | — |
case-22 | pass→pass | 8,241 | 4,283 | -48% | 1 | 1 | 0% | 1,278 | 1,072 | -16% | 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, and 19 counted toward the lift figure. The other 3 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of 0 percentage points is the difference between those two pass rates over the 19 comparable cases. 2 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.
| Model | Method | Date | Lift |
|---|---|---|---|
| gemini-3.6-flash | verified | 8/3/2026 | +5% |
| gemini-3.6-flash | verified | 8/3/2026 | +5% |
Other measured skills in the registry, with their headline benchmark lift.