القائمة
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.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Turn raw data into a decision-ready report a human actually reads — structured by the Minto Pyramid (answer first), every number traced to the data, the right chart for each question, and delivered as a self-contained HTML document that opens in any browser and prints to clean PDF with no dependencies. Format-flexible; grounded, never fabricated.
How modern applicant tracking systems rank resumes in 2026 and how to tailor a resume per job posting so it clears them — keyword strategy grounded in the candidate's real experience, job-title placement, coverage targets, parser-safe formatting, and the anti-stuffing rules that current ATS actively penalize. Truthful tailoring only.
The dimensions of a deep code review — correctness, security, concurrency, performance, design/maintainability, tests — what each lens hunts for, and the adversarial verification discipline that keeps a multi-reviewer pass from multiplying false positives. Consensus is not correctness; every finding must be refuted before it is trusted.
Translate and localize documents, code comments, UI strings, and structured content while preserving formatting, adapting to domain-specific terminology, and maintaining consistency across large files via batching.
Write a cover letter that a hiring manager actually reads — grounded in the candidate's real experience, tailored to the specific posting and company, structured for a 30-second skim, and free of the generic AI-template phrasing that gets letters discarded. Truthful, specific, and human.
Operate the local computer's native UI — macOS, Linux, or Windows — via the desktop-automation MCP server. Covers OS accessibility / screen-recording permissions, pixel-anchor targeting (no semantic UI tree), region-capture discipline under the MCP response cap, window focus and multi-monitor handling, keyboard / mouse / clipboard sequencing, and the safety boundary around destructive desktop actions and screen-lock / biometric bypass. Activate when the user wants to drive a native desktop app or the OS shell at the GUI layer. Pairs with the device:operator agent which carries the shared snapshot → verify → record discipline; this skill carries the desktop-specific tooling and rules and pulls the device-computer capability automatically.
| 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)"] |
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).
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…".
alexiacontenuillimite.substack.com, startups-nation.fr, gpthuman.ai.
