# Pair Selector

> Select the next comparison pairs that maximize information gain given current ratings and comparison history.

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

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# Pair Selector

Selects the next set of comparison pairs that would most reduce ranking uncertainty. Uses information-theoretic criteria (maximum entropy reduction, uncertainty sampling, or boundary proximity) to prioritize which pairs to compare next.

## Execution

Runs as a subagent. Receives current ratings and comparison history, returns an ordered list of recommended next pairs.

## Why Subagent

Pair selection requires reasoning about the full rating landscape and comparison graph structure. Isolating this as a subagent allows focused computation without polluting the orchestrator's context with matrix calculations.

## HARD-GATE

Output MUST contain at least one pair. Each pair must reference exactly two distinct candidates that exist in the current_ratings input.

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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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