# Normalization

> Normalize a score matrix using a specified method to make scores comparable across criteria.

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

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# Normalization

Normalize the scoring matrix to make scores with different units and scales comparable across criteria.

## Execution

Subagent receives the raw scoring matrix and normalization method, outputs the normalized matrix.

## Why Subagent

Normalization involves mathematical transformations and direction handling; independent verification of transformation correctness is needed to avoid direction errors causing rank reversals.

## HARD-GATE

All normalized values must be in the [0, 1] range, with max-direction criteria having optimal value of 1, and min-direction criteria having optimal value of 1 (after inversion).

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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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