content-locale-humanize-ja
Per-language calibration anchors for detecting AI-slop and translationese in Japanese (ja) target text; auto-loads alongside content-locale-humanize when the target language is Japanese.
Datos de origen
- Repositorio
- Muvon/octomind-tap
- Última actividad en el origen
- 18 de septiembre de 2026 a las 09:13
- Idioma detectado de SKILL.md
- inglés
- Estrellas
- 4
- Forks
- 0
Opciones de instalación
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura- name
- content-locale-humanize-ja
- title
- Japanese Native-Fluency Calibration
- description
- Per-language calibration anchors for detecting AI-slop and translationese in Japanese (ja) target text; auto-loads alongside content-locale-humanize when the target language is Japanese.
- license
- Apache-2.0
- compatibility
- Extends content-locale-humanize's AI-Slop & Translationese dimension. Load both together — this file has no rubric of its own.
- domains
- content
- rules
- ["content(japanese)","match(\\bja-JP\\b)","match(\\bJapanese\\b)","match(日本語)","semantic(check if this Japanese translation sounds native)","semantic(eliminate translationese from this Japanese text)"]
## Overview
Sourced calibration anchors for Japanese, feeding `content-locale-humanize`'s AI-Slop & Translationese dimension. This is a calibration aid, not the checklist — reason natively beyond it (see the core skill's "why structure, not word lists" section).
## Instructions
Sourcing confidence: anecdotal blog discourse, not quantitative research.
Katakana-loanword overuse where a native term exists — インサイト (insight), アウトプット (output), スケーラビリティ (scalability).
Hedge endings like「〜ではないでしょうか」.
Overly formal/neutral register reading emotionally flat.
Same phrase repeated within one passage instead of natural rephrasing.
## References
note.com and Zenn blog discourse; ai-souken.com.
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