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WeiWuming WeChat Article Formatter

Office Efficiency Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

Please install @user_b8039240/weiwuming-formatter following https://skillhub.cn/install/skillhub.md.

About this skill

Problem

WeChat articles often come from Word files or pasted text. Converting them directly to Markdown can lose paragraph order, heading levels, quotations, footnotes, and keyword blocks. If an LLM rewrites the draft on the fly, it may also invent book titles, people, dates, or image URLs. This skill separates formatting conversion from editor-syntax injection, producing Markdown that can enter the WeiWuming WeChat article workflow while preserving the source facts.

How It Works

The skill first detects the input type: .docx is parsed as an OOXML ZIP package, .doc is converted through LibreOffice when available, and pasted text is analyzed directly. It preserves paragraph order and uses style, bold runs, tables, and footnotes as layout clues, mapping content to structures such as ### Title / Author, ## Section, blockquotes, ---[notes], and ---[bio-title:Author Bio]. For people, books, films, events, and extended reading, it searches for accurate references, downloads images to a local images/ folder, and inserts blocks such as [book:|...], [universal:|...], and [reading-book:...] with empty image fields for later manual upload. It also adds a roughly 500-character editor's note and the fixed editor, reviewer, and follow sections.

Boundaries

This is not a general polishing or rewriting tool. Unless explicitly requested, it does not summarize, expand, translate, or complete missing facts. If searches time out or data is uncertain, the issues are listed in the proofreading notes rather than masked with placeholder URLs. It is best suited for finished articles that need to be converted into the WeiWuming editor syntax.

Use Cases

  • A WeChat editor turns a Word draft into WeiWuming editor-syntax Markdown with title, editor's note, and sections.
  • An operations staff member converts pasted text into keyword blocks such as [book:] and [universal:] and saves cover images locally.
  • A content assistant identifies books, people, and extended reading in a finished article, searches factual references, and avoids rewriting.
  • A reviewer checks the output for placeholder URLs, empty image fields, paired syntax, and proofreading notes.

Best For

  • WeChat editors who convert Word drafts into editor-ready Markdown every week.
  • Content operators who insert book, person, and film keyword blocks and save cover images locally.
  • Review assistants who require source preservation, structural output, and separate proofreading notes.
  • Independent media operators who maintain WeiWuming layout templates, editor's notes, and staff blocks.