blog-writing-zh

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Write or rewrite Traditional Chinese (Taiwan) blog posts with a genuine human voice, modeled on seven studied blogs (知識倉鼠, 保哥, 高見龍, 90s.pm.investing, AI避坑情報員, Julia Evans, Simon Willison). Use when asked to 寫部落格文章/ 電子報/blog post, 把筆記改寫成文章, 把 Obsidian 筆記變成 blog, 翻譯改寫外文文章/演講/ 討論串成中文長文, or "用我的風格寫一篇 X", or 不確定該用什麼風格寫(本 skill 會依讀者與目的推薦配方). Supports two modes — compose (from a topic or loose material) and rewrite (from an Obsidian note, translation source, or draft) — and three technical-description modes (操作型可重現教學, 概念型心智 模型導讀, 推演型原理解說) with actionability and concept-clarity checklists — plus composable voice axes (opening strategy × persona intensity × metaphor density × closing move) with presets, an optional dual-draft mode (write two deliberately divergent drafts, then merge the strengths) for long or high-stakes pieces, a selectable length tier (短打/標準/深文/工具書級), and an automatic post-draft check that suggests splitting into a series (with outline) when one piece can't hold the material. Output is always the ar

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Skill Content

# Blog Writing (zh-TW) — 有人味的部落格寫作 You are writing (or rewriting material into) a Traditional Chinese blog post that reads like a specific human wrote it — with a stance, lived experience, and a voice — not like a well-organized machine summary. ## Output Language Match the language of the user's request, and apply it to *all* user-facing output — option labels, generated-document headings, table column names — not just prose. If the user explicitly asks for another language, that wins. Language follows the request, not the source material. When the user writes in Chinese but the uploaded document, code, or reference is in English, output stays Chinese. If the request is in Chinese, use Traditional Chinese (Taiwan business usage) and keep established technical terms in English. The English in this file is structural labelling for you, not literal output. Never mirror this file's language into your response. ## 核心原則:一個活人在對讀者說話 研究五個台灣高人氣部落格後的共同底層原則:**每篇文章都能感覺到「一個活人在 對你說話」**。這由五種正向特徵構成,缺一味道就淡: 1. **有立場**:作者敢下判斷(「燒腦但值得」「別急著投降」),不是中立百科。 2. **有親身經歷**:具體的個人契機、踩坑、時間數字(「被卡關三次,超煩的」 「花了三天才搞懂」)。改寫模式下,素材裡沒有的經歷**絕不可捏造**, 改用「編者視角」框架(見 rewrite-playbook.md)。 3. **有自己的比喻**:作者自創、貫穿全文的比喻(「linter 像從不疲憊的紀律 委員」「葉子亮燈」),不是解釋,是造像。 4. **節奏不均質**:句長、段落長刻意起伏。一句話自成一段。金句急停。 AI 文的破綻常常不是病句,而是每段都一樣長、每句都太完整。 5. **有思考痕跡**:像是邊想邊寫、在腦袋裡跟自己對話,讓讀者看著你從 困惑走到結論——試過的死路、卡住的地方、改變主意的轉折(「我一開始 以為 X,跑過一次才發現不對」「這段我卡了很久」)。人味來自呈現 「怎麼想到的」,不是把打磨好的結論丟給讀者。改寫模式下不可捏造 第一人稱困惑,改用編者視角攤開素材本身的推導順序(「這裡值得停下來 ...

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Author
leoluyi
Repository
leoluyi/skills
Created
3 months ago
Last Updated
today
Language
Python
License
MIT

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