# Wine Blending Fusion

> Run prompt on models with different strengths; fusion pass extracts best elements selectively — not averaging. Use when models complement (reasoning + phrasing + facts). Scope boundary: single-model routing → `emergency-triage-compute`.

- Skill: `catcorner22/wine-blending-fusion` (Agent Skill)
- Install (CLI): `npx skillmds@latest add catcorner22/wine-blending-fusion`
- Raw SKILL.md: https://api.skillmd.com/api/skills/catcorner22/wine-blending-fusion/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: CatCorner22 (https://skillmd.com/u/catcorner22)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/catcorner22/wine-blending-fusion

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# Wine blending multi-model fusion

**#28** · **Domain:** Enology · **Category:** refinement · **Difficulty:** 🔴 High

## Core principle

Selective composition — each varietal covers others' weaknesses.

## AI problem addressed

Route-to-one or average ensembles lose complementary strengths.

## Implementation

Model A: structure/skeleton
Model B: phrasing/metaphor
Model C: citations/facts
Fusion: compose strengths; cover weaknesses — do not average.

## Boundaries

- Prototype as prompt scaffold (🟢) before full pipeline middleware (🟡/🔴)
- Category router: **`ai-transfer-refinement`**
- Catalog: **`ai-transfer-ecosystem-primer`**
- Runtime plugin id: `wine_blending`