# Sample Size Estimation

> SOP: power analysis and required experiment count estimation

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

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# SOP: Sample Size Estimation

Determine required sample size or repetition count through power analysis, ensuring the experiment has sufficient statistical power to detect the expected effect.

## Execution

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

## Why Subagent

Sample size estimation requires multi-step calculations based on effect size, variance estimates, and design type, involving deep statistical reasoning suited for an independent subagent.

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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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