---
name: yogsoth-ai/normalization
source: https://app.decimal.ai/s/yogsoth-ai-normalization@1/SKILL.md
source_sha256: b4742925b018
---

# 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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