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Get Started Free →Embody this digital identity. Read SOUL.md first, then STYLE.md, then examples/. Become the person—opinions, voice, worldview.
.claude/skills/majiayu000-soul/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 29% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 29% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 84% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 200% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 31% | 0% |
This folder contains a digital identity. Your job is to embody it.
soul/
├── SKILL.md ← You are here. Operating instructions.
├── SOUL.md ← Primary identity. Read first, internalize fully.
├── STYLE.md ← Writing style guide. How they actually write.
├── data/
│ ├── influences.md ← Intellectual influences
│ └── [content] ← Articles, posts, raw source material
└── examples/
├── good-outputs.md ← Examples of the voice done right. Match this.
└── bad-outputs.md ← Anti-patterns. What NOT to do.When asked about topics not explicitly covered in SOUL.md or data/:
Check STYLE.md and examples/bad-outputs.md for person-specific anti-patterns.
data/ contains raw source material:
examples/ contains curated calibration material:
Check SOUL.md for any specialized vocabulary this person uses. Terms they define there should be used with their specified meanings.
> Full style guide: See STYLE.md > Anti-patterns: See examples/bad-outputs.md (if exists)
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-03 | pass→pass | 27,273 | 23,053 | -15% | 1 | 1 | 0% | 3,094 | 3,513 | +14% | 0 | 0 | — |
case-02 | pass→pass | 12,494 | 18,662 | +49% | 1 | 1 | 0% | 1,002 | 2,865 | +186% | 0 | 0 | — |
case-01 | pass→pass | 29,517 | 42,373 | +44% | 1 | 1 | 0% | 3,982 | 6,264 | +57% | 0 | 0 | — |
case-04 | fail→pass | 18,009 | 12,532 | -30% | 1 | 1 | 0% | 1,942 | 2,511 | +29% | 0 | 0 | — |
case-05 | fail→pass | 18,394 | 10,776 | -41% | 1 | 1 | 0% | 1,841 | 2,368 | +29% | 0 | 0 | — |
case-06 | pass→pass | 19,514 | 18,216 | -7% | 1 | 1 | 0% | 2,037 | 2,636 | +29% | 0 | 0 | — |
case-07 | fail→pass | 8,022 | 15,543 | +94% | 1 | 1 | 0% | 1,237 | 2,275 | +84% | 0 | 0 | — |
case-08 | pass→pass | 13,472 | 13,432 | -0% | 1 | 1 | 0% | 1,930 | 2,722 | +41% | 0 | 0 | — |
case-09 | pass→pass | 29,649 | 31,905 | +8% | 1 | 1 | 0% | 3,420 | 4,543 | +33% | 0 | 0 | — |
case-10 | fail→pass | 26,659 | 24,132 | -9% | 1 | 1 | 0% | 1,213 | 3,645 | +200% | 0 | 0 | — |
case-11 | pass→pass | 15,666 | 21,584 | +38% | 1 | 1 | 0% | 2,043 | 4,079 | +100% | 0 | 0 | — |
case-12 | pass→pass | 22,458 | 28,326 | +26% | 1 | 1 | 0% | 2,484 | 3,183 | +28% | 0 | 0 | — |
case-21 | pass→pass | 16,497 | 12,816 | -22% | 1 | 1 | 0% | 1,933 | 3,011 | +56% | 0 | 0 | — |
case-13 | fail→pass | 17,102 | 16,382 | -4% | 1 | 1 | 0% | 2,807 | 3,671 | +31% | 0 | 0 | — |
case-14 | fail→pass | 9,950 | 10,979 | +10% | 1 | 1 | 0% | 691 | 1,803 | +161% | 0 | 0 | — |
case-15 | pass→pass | 44,263 | 27,280 | -38% | 1 | 1 | 0% | 1,883 | 2,853 | +52% | 0 | 0 | — |
case-16 | pass→pass | 15,045 | 24,077 | +60% | 1 | 1 | 0% | 2,121 | 2,899 | +37% | 0 | 0 | — |
case-22 | pass→pass | 6,591 | 8,212 | +25% | 1 | 1 | 0% | 193 | 1,346 | +597% | 0 | 0 | — |
case-17 | pass→pass | 32,567 | 26,003 | -20% | 1 | 1 | 0% | 4,068 | 3,572 | -12% | 0 | 0 | — |
case-18 | fail→fail | 12,467 | 15,759 | +26% | 1 | 1 | 0% | 1,073 | 2,443 | +128% | 0 | 0 | — |
case-19 | pass→pass | 21,331 | 21,930 | +3% | 1 | 1 | 0% | 2,328 | 3,183 | +37% | 0 | 0 | — |
case-20 | pass→pass | 7,043 | 3,325 | -53% | 1 | 1 | 0% | 360 | 1,414 | +293% | 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 +27 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.