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nanaism/yomiyasu

  • URL: https://github.com/nanaism/yomiyasu
  • Stars: 1473
  • Language: Python
  • Category: AI & Agents
  • Topics: agent-skills, ai-writing, antigravity, claude-code, codex, cursor, gemini, japanese, linter, llm, nlp, writing, writing-assistant, writing-tool

What it does

yomiyasu is an agent skill designed to refine AI-generated Japanese text into more natural and readable Japanese. It specifically targets issues such as unnatural metaphors, ambiguous subject-verb relationships, and unnecessary embellishments in technical documents, reports, and specifications.

Why it's interesting

Unlike typical text correction tools, yomiyasu focuses on maintaining the original meaning while enhancing readability, addressing specific linguistic challenges unique to AI-generated content. Its approach includes detailed transformation principles that go beyond simple word replacement, making it suitable for professional and technical writing.

How it works

The skill applies seven transformation principles to improve text clarity, including checking subject-verb relationships, maintaining the function and style of sentences, and avoiding unnecessary embellishments. It utilizes a set of Python scripts for static analysis and comparison of text before and after refinement, ensuring that the output remains coherent and contextually appropriate. The README does not provide specific details about the underlying architecture or algorithms used in the skill, leaving some uncertainty in that area.

Get started in 5 minutes

To install yomiyasu, run the following command in your terminal:

npx skills add nanaism/yomiyasu

This command will add the skill to your coding environment, allowing you to use it immediately.

Watch out for

The repository has a significant number of stars (1473), indicating interest, but it was created recently (September 2026), which may suggest it is still maturing. Additionally, the README advises caution when using yomiyasu alongside other Japanese correction skills to avoid conflicting outputs. The project is licensed under the MIT License, which is permissive but requires attribution.