content-locale-humanize-fr
Per-language calibration anchors for detecting AI-slop and translationese in French (fr) target text; auto-loads alongside content-locale-humanize when the target language is French.
소스 정보
- 저장소
- Muvon/octomind-tap
- 최근 소스 활동
- 2026년 9월 18일 09:13
- 감지된 SKILL.md 언어
- 영어
- 스타
- 4
- 포크
- 0
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SKILL.md 표시 중
SKILL.md
소스 지침 · 읽기 전용 미리보기- name
- content-locale-humanize-fr
- title
- French Native-Fluency Calibration
- description
- Per-language calibration anchors for detecting AI-slop and translationese in French (fr) target text; auto-loads alongside content-locale-humanize when the target language is French.
- 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(french)","match(\\bfr-(FR|CA|BE|CH)\\b)","match(\\bFrench\\b)","match(\\bfrançais\\b)","semantic(check if this French translation sounds native)","semantic(eliminate translationese from this French text)"]
## Overview
Sourced calibration anchors for French, 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: solid. French has the most convergent, independently-reported sourcing of any language checked so far.
Connector pileup: de plus, en outre, par ailleurs, donc, cependant, ainsi — nearly every paragraph.
Cliché metaphors (English AI-isms calqued): plonger dans, naviguer, s'embarquer.
Power words: crucial, essentiel, vital.
Stock: en constante évolution, tapisserie, nuance, en conclusion.
Construction: "non seulement… mais aussi…".
## References
alexiacontenuillimite.substack.com, startups-nation.fr, gpthuman.ai.
GitHub에서 보기