# Factor Level Design

> Identify factors and their levels for a problem, then design an experiment matrix for systematic exploration.

- Skill: `yogsoth-ai/factor-level-design` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/factor-level-design`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/factor-level-design/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/factor-level-design

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# Factor-Level Design

Identify key factors, define their levels, and design a factorial experiment matrix for systematic exploration.

## Execution

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

## Why Subagent

Factorial design requires careful identification of independent factors and meaningful levels. Benefits from dedicated analytical context to avoid confounding and ensure orthogonality.