# Monte Carlo Sampling

> Design and execute Monte Carlo sampling strategy for uncertainty propagation through a model.

- Skill: `yogsoth-ai/monte-carlo-sampling` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/monte-carlo-sampling`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/monte-carlo-sampling/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/monte-carlo-sampling

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## 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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## Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use |
| --- | --- |
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |

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