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Per-language calibration anchors for detecting AI-slop and translationese in Chinese (zh) target text — auto-loads alongside content-locale-humanize when the target language is Chinese.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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.
SOC 職業分類に基づく
| name | content-locale-humanize-zh |
| title | Chinese Native-Fluency Calibration |
| description | Per-language calibration anchors for detecting AI-slop and translationese in Chinese (zh) target text — auto-loads alongside content-locale-humanize when the target language is Chinese. |
| 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(chinese)","match(\\bzh-(Hans|Hant|CN|TW)\\b)","match(\\bChinese\\b)","match(中文)","semantic(check if this Chinese translation sounds native)","semantic(eliminate translationese from this Chinese text)"] |
Sourced calibration anchors for Chinese, 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: the best quantitative backing of any non-English language checked. A university news-lab corpus study measured roughly 4x higher parallel-sentence-structure rates in AI-generated Chinese text versus human-written text.
Calque tell: "不是…而是…" (a direct calque of the English "not X but Y" hedge-flip construction).
Triad-listing tell: "首先…其次…最后" (first…second…finally), used as a rhythm crutch rather than because the content has exactly three parts.
Watch for English-syntax interference in translated technical content: relative clauses and passive constructions that mirror English sentence structure instead of Chinese topic-comment structure.
Renmin University 新闻坊 (RUC Journalism Studio) news-lab corpus study.
