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Get Started Free →miosa-osa/simulate
Takes a scenario or decision and simulates multiple outcome branches. Uses Monte Carlo tree search to explore the decision space, evaluating each branch on probability and impact. Returns a ranked set of outcomes with recommended actions.
Passed 22 of 23 test cases with the skill, and 7 of 23 without it.
and 17 more in the full report
15 fixed7 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
If a user specifies no flags when executing a scenario simulation, how many simulation runs does the engine execute?
| Checked | Without skill | With skill |
|---|---|---|
| States the default count of 50. | Missed | Passed |
The instructions your model reads when the skill loads.
Monte Carlo scenario planning and impact analysis.
Runs Monte Carlo Tree Search for scenario planning. Evaluates potential decisions by simulating outcomes across multiple paths. Reports expected value, risk distribution, and recommended actions.
/simulate "What if we price AI Masters at $2K per seat?"
/simulate "Impact of hiring two more devs" --scenarios 100
| Flag | Description | Default |
|---|---|---|
--scenarios | Number of simulation paths | 50 |
cd engine && mix optimal.simulate "scenario description"
cd engine && mix optimal.impact "decision description"
test cases passed, vs 7 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.