monte-carlo-sampling

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/monte-carlo-sampling

Designs and runs Monte Carlo sampling to propagate uncertainty through models

  • Quantifies uncertainty in model outputs by sampling input distributions
  • Relies on statistical libraries and model execution frameworks
  • Chooses sampling strategy based on input distributions and model complexity
  • Returns sampled outputs and statistical summaries for downstream analysis

SKILL.md

.github/skills/monte-carlo-samplingView on GitHub ↗
---
name: monte-carlo-sampling
description: Design and execute Monte Carlo sampling strategy for uncertainty propagation through a model.
execution: subagent
prompt: ./prompt.md
input: input_distributions, model_structure
used-by: uncertainty-propagation
---

## Execution

Subagent — spawned via subagent-spawning/spawn-agent.

## Budget

One unit = one complete Monte Carlo propagation (sampling design, execution, output characterization).

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