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Get Started Free →Simulate user/engineer/investor/regulator/society perspectives to surface hidden requirements and opportunities.
.claude/skills/yogsoth-ai-stakeholder-simulation/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 401% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 237% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 367% | 0% |
| case-11 | ✓→✗ | ▼ Worse | -67% | 0% |
| case-13 | ✓→✗ | ▼ Worse | 15% | 0% |
Simulate user/engineer/investor/regulator/society perspectives to surface hidden requirements and opportunities.
| Resource | Target | Current | % | |----------|--------|---------|---| | web-search | 25 | 0 | 0% | | web-research | 10 | 0 | 0% | | paper-overview | 20 | 0 | 0% | | paper-search | 12 | 0 | 0% | | paper-research | 5 | 0 | 0% |
Cannot exit strategy until ≥80% of each budget line is consumed OR yield targets are met with justification for remaining budget.
| Tactic | Role | |--------|------| | perspective-rotation | Rotate through stakeholder perspectives | | evaluation-filtering | Filter and rank resulting ideas (shared) |
| SOP | Role | |-----|------| | perspective-synthesis | Synthesize all stakeholder insights |
| Metric | Floor | |--------|-------| | Stakeholders simulated | ≥5 | | Unique requirements surfaced | ≥3 per stakeholder | | Conflict points identified | ≥3 | | Multi-stakeholder solutions | ≥2 |
<!-- BEGIN available-tables (generated) -->
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | perspective-synthesis | Synthesize all perspective outputs into a structured multi-perspective idea report. |
<!-- END available-tables (generated) -->
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 23,119 | 45,363 | +96% | 1 | 1 | 0% | 3,004 | 6,836 | +128% | 0 | 0 | — |
case-02 | fail→pass | 7,835 | 37,497 | +379% | 1 | 1 | 0% | 1,143 | 5,730 | +401% | 0 | 0 | — |
case-03 | pass→pass | 17,980 | 61,593 | +243% | 1 | 1 | 0% | 2,522 | 6,516 | +158% | 0 | 0 | — |
case-04 | pass→pass | 23,665 | 41,882 | +77% | 1 | 1 | 0% | 2,713 | 6,185 | +128% | 0 | 0 | — |
case-05 | fail→pass | 16,216 | 38,866 | +140% | 1 | 1 | 0% | 1,702 | 5,734 | +237% | 0 | 0 | — |
case-06 | pass→pass | 21,746 | 63,176 | +191% | 1 | 1 | 0% | 2,356 | 7,876 | +234% | 0 | 0 | — |
case-07 | pass→pass | 45,344 | 58,277 | +29% | 1 | 1 | 0% | 3,013 | 8,046 | +167% | 0 | 0 | — |
case-10 | pass→pass | 30,641 | 65,553 | +114% | 1 | 1 | 0% | 3,933 | 6,758 | +72% | 0 | 0 | — |
case-08 | pass→pass | 27,064 | 51,342 | +90% | 1 | 1 | 0% | 3,192 | 6,619 | +107% | 0 | 0 | — |
case-09 | pass→pass | 26,253 | 55,361 | +111% | 1 | 1 | 0% | 3,069 | 8,175 | +166% | 0 | 0 | — |
case-11 | pass→fail | 28,098 | 20,310 | -28% | 1 | 1 | 0% | 3,380 | 1,119 | -67% | 0 | 0 | — |
case-12 | fail→fail | 22,097 | 19,735 | -11% | 1 | 1 | 0% | 2,641 | 1,106 | -58% | 0 | 0 | — |
case-13 | pass→fail | 17,420 | 15,326 | -12% | 1 | 1 | 0% | 1,994 | 2,285 | +15% | 0 | 0 | — |
case-14 | fail→pass | 12,811 | 40,930 | +219% | 1 | 1 | 0% | 1,269 | 5,921 | +367% | 0 | 0 | — |
case-15 | pass→pass | 20,498 | 53,551 | +161% | 1 | 1 | 0% | 2,947 | 8,729 | +196% | 0 | 0 | — |
case-16 | pass→fail | 28,438 | 54,817 | +93% | 1 | 1 | 0% | 3,634 | 9,252 | +155% | 0 | 0 | — |
case-17 | pass→pass | 16,765 | 11,549 | -31% | 1 | 1 | 0% | 2,034 | 1,747 | -14% | 0 | 0 | — |
case-18 | pass→pass | 19,506 | 66,156 | +239% | 1 | 1 | 0% | 2,884 | 8,728 | +203% | 0 | 0 | — |
case-19 | pass→fail | 31,212 | 19,877 | -36% | 1 | 1 | 0% | 3,964 | 1,020 | -74% | 0 | 0 | — |
case-20 | pass→pass | 23,999 | 43,450 | +81% | 1 | 1 | 0% | 1,531 | 6,495 | +324% | 0 | 0 | — |
case-21 | pass→pass | 13,414 | 35,175 | +162% | 1 | 1 | 0% | 1,622 | 6,195 | +282% | 0 | 0 | — |
case-22 | pass→pass | 16,576 | 47,764 | +188% | 1 | 1 | 0% | 2,516 | 8,695 | +246% | 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 18 counted toward the lift figure. The other 4 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 -5 percentage points is the difference between those two pass rates over the 18 comparable cases. 5 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.