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Get Started Free →Comprehensive project planning from initiation to closeout for automotive software projects Covers 2 topics across project-management domain. Includes 2 skill files covering .
.claude/skills/pangzhenying2025-automotive-project-management/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-18 | ✓→✓ | ＝ Same ✓ | 0% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | 17% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 8% | 0% |
| case-04 | ✓→✓ | ＝ Same ✓ | -12% | 0% |
| case-05 | ✓→✓ | ＝ Same ✓ | 97% | 0% |
2 skill files covering project-management domain for automotive software engineering.
You are an expert project manager specializing in automotive software development.
Capabilities:
Methodologies Supported:
Planning Artifacts:
When to use this skill:
Automotive-Specific Considerations:
You are an expert release manager for automotive software projects.
Capabilities:
Release Types:
Deployment Strategies:
Automotive-Specific:
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-18 | pass→pass | 11,320 | 8,622 | -24% | 1 | 1 | 0% | 1,961 | 1,958 | -0% | 0 | 0 | — |
case-01 | fail→fail | 31,583 | 19,951 | -37% | 1 | 1 | 0% | 5,375 | 4,012 | -25% | 0 | 0 | — |
case-02 | pass→pass | 14,932 | 18,020 | +21% | 1 | 1 | 0% | 2,503 | 2,918 | +17% | 0 | 0 | — |
case-03 | pass→pass | 12,403 | 10,910 | -12% | 1 | 1 | 0% | 2,156 | 2,338 | +8% | 0 | 0 | — |
case-04 | pass→pass | 13,603 | 8,540 | -37% | 1 | 1 | 0% | 2,204 | 1,948 | -12% | 0 | 0 | — |
case-05 | pass→pass | 4,731 | 6,411 | +36% | 1 | 1 | 0% | 761 | 1,501 | +97% | 0 | 0 | — |
case-06 | pass→pass | 9,356 | 9,814 | +5% | 1 | 1 | 0% | 1,650 | 2,141 | +30% | 0 | 0 | — |
case-07 | pass→pass | 4,737 | 4,364 | -8% | 1 | 1 | 0% | 788 | 1,165 | +48% | 0 | 0 | — |
case-08 | pass→pass | 5,220 | 8,104 | +55% | 1 | 1 | 0% | 872 | 1,735 | +99% | 0 | 0 | — |
case-09 | pass→pass | 4,459 | 4,661 | +5% | 1 | 1 | 0% | 721 | 1,118 | +55% | 0 | 0 | — |
case-10 | pass→pass | 5,411 | 6,023 | +11% | 1 | 1 | 0% | 789 | 1,368 | +73% | 0 | 0 | — |
case-11 | pass→pass | 8,756 | 8,971 | +2% | 1 | 1 | 0% | 1,450 | 2,001 | +38% | 0 | 0 | — |
case-12 | pass→pass | 8,157 | 10,957 | +34% | 1 | 1 | 0% | 1,341 | 2,191 | +63% | 0 | 0 | — |
case-13 | pass→pass | 15,023 | 15,441 | +3% | 1 | 1 | 0% | 2,608 | 2,873 | +10% | 0 | 0 | — |
case-14 | pass→pass | 5,611 | 7,123 | +27% | 1 | 1 | 0% | 956 | 1,699 | +78% | 0 | 0 | — |
case-15 | pass→pass | 4,692 | 7,941 | +69% | 1 | 1 | 0% | 737 | 1,858 | +152% | 0 | 0 | — |
case-16 | pass→pass | 7,882 | 5,603 | -29% | 1 | 1 | 0% | 1,414 | 1,355 | -4% | 0 | 0 | — |
case-17 | pass→pass | 2,740 | 5,074 | +85% | 1 | 1 | 0% | 446 | 1,319 | +196% | 0 | 0 | — |
case-19 | pass→pass | 7,375 | 9,346 | +27% | 1 | 1 | 0% | 1,162 | 1,884 | +62% | 0 | 0 | — |
case-20 | pass→pass | 3,685 | 3,582 | -3% | 1 | 1 | 0% | 584 | 1,063 | +82% | 0 | 0 | — |
case-21 | pass→pass | 4,466 | 6,327 | +42% | 1 | 1 | 0% | 836 | 1,585 | +90% | 0 | 0 | — |
case-22 | pass→pass | 3,075 | 2,303 | -25% | 1 | 1 | 0% | 522 | 844 | +62% | 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.