What problem does it solve? AI-generated Japanese writing often suffers from logical leaps, knowledge gaps, vague verbs, empty conclusions, and awkward headings. This Skill replaces superficial word-level fixes with a rigorous critique loop that rebuilds text from structure down to expression, so articles, learning notes, and READMEs actually serve their readers. ## Core Features & Use Cases - Structured Critique Loop: Defines each section's job, builds a knowledge ledger, designs paragraph tasks, then runs separate Structure and Expression critics before rewriting. - Automated Text Audit: A Python script scans Japanese text for known failure patterns such as vague verbs, anthropomorphism, AI-style abstract nouns, and risky headings. - Reader-Driven Rewrites: Reference protocols cover full README rewrites, reader state transition flowcharts for article structure design, and a growth system that distills recurring feedback into a persistent failure-pattern store. - Use Case: Paste a draft article section and ask for a review; the Skill audits the text, maps what the reader knows before and after, identifies structural defects, and returns rewrite axes or a fully revised section. ## Quick Start Review this Japanese article section for logical leaps and AI-sounding phrasing, then rewrite it based on the section's actual job.
