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MuvonMuvon/octomind-tap/skills/content-locale-humanize-ja/SKILL.md

content-locale-humanize-ja

Skill6 starsChanged 8 months agoApache-2.0View on GitHub

Calibration anchors for AI-slop and translationese in Japanese (ja) text. Use alongside content-locale-humanize when the target is Japanese.

The file

Files
SKILL.md

Overview

Calibration anchors and current norms for Japanese (ja-JP), feeding content-locale-humanize's dimensions. A calibration aid, not the checklist; reason natively beyond it.

Rules

AI tells

Sourcing confidence: anecdotal blog discourse, not quantitative research.

  • Katakana loanwords where a native term exists: インサイト, アウトプット, スケーラビリティ.
  • Hedge endings such as「〜ではないでしょうか」; SEO-blog closers such as「いかがでしたか」.
  • Uniformly formal, emotionally flat register; the same phrase repeated within a passage instead of natural rephrasing.

Translationese (翻訳調)

  • Pronouns Japanese would drop: 彼, 彼女, それ, あなた.
  • 「〜することができる」for every "can", 「〜によって」passives, 「〜を持っている」for "have".
  • Long noun-modifying chains copied from English relative clauses; 「〜しましょう」for every "let's".

Current norms

  • Style: です・ます for most product, marketing, and help content; だ・である for reference or academic text. Never mix them in body text.
  • Keigo: avoid double honorifics (おっしゃられる, ご覧になられる) and reflexive 「させていただく」; machine output tends to over-polish.
  • Notation: full-width 、。 (the 2022 公用文作成の考え方 made 、 the default even in horizontal official text); half-width alphanumerics; follow the house rule for long-vowel katakana (コンピューター vs コンピュータ) and for spacing between Japanese and Latin text (the JTF translation style guide uses none). Hold each choice throughout.

References

Reviewed 2026-10-12. AI tells: note.com and Zenn blog discourse; ai-souken.com. Norms: 文化審議会「公用文作成の考え方」(建議, 2022), JTF日本語標準スタイルガイド.

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