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WeChat Long-Form Article Workflow

Content Creation Updated 2026.08.30

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Please install @user_88e00a20/chengeng-wechat-article according to https://skillhub.cn/install/skillhub.md.

About this skill

Problem

Long-form WeChat articles often fail at three points: scattered source material is turned into a high-confidence draft too early; opinion, product, and case pieces are forced into one template; and layout or cover work becomes visual polish without a reader model, fact boundary, or semantic contract. This skill turns the path from topic to handoff-ready draft into explicit stages, so the output can be reviewed, continued, and previewed by humans.

How it works

It starts with minimal inputs: topic or source material, primary reader, and fact-source status. If input is insufficient, it does not force a final draft; instead it returns a gap list, minimal follow-up questions, and a low-confidence version. It then selects a path by article type: opinion, product, or case, which affects title strength, colloquial density, layout, and CTA. The core workflow includes fact pre-check, topic positioning, reader tone, outline, first draft and second-pass refinement, title candidates, layout semantic contract, HTML draft, and cover direction. It separates confirmed facts, reasonable judgment, items to verify, and information that should not be published; policy, product, data, and customer cases without sources are not written as facts. Before HTML generation, it confirms propagation lines, logical emphasis, H2, lists, source citations, and CTA. If Python or a browser is unavailable, it marks “auto-check not executed” and delivers only HTML and screenshot notes, without claiming PNG output.

Boundaries

It is useful for expanding older posts, course fragments, livestream ideas, or service notes into long-form articles, and for diagnosing title, opening, body, layout semantics, and cover direction. It is not a tool for Moments posts, short video, or Xiaohongshu copy. It does not provide deterministic underwriting, claims, medical, legal, tax, or income conclusions, and it does not replace insurance, medical, legal, tax, or regulatory judgment. The public version does not connect to a real WeChat backend; when backend actions are needed, it first delivers HTML, cover proposal, and a manual preview checklist for authorized tools.

Use Cases

  • Expand scattered insurance livestream points into an opinion article, marking verified and pending facts.
  • Turn old course fragments into a product article with audience, solution, delivery, and fee boundaries.
  • Diagnose an existing draft's opening, title, headings, and cover direction, then produce editable revisions.
  • Continue an existing layout draft with second-pass refinement, semantic checks, and a cover decision card.

Best For

  • Insurance content writers who must turn hot topics, old posts, and course fragments into publishable long-form articles with fact boundaries.
  • Advisors or instructors building personal brands who need livestream points expanded into opinion-backed, handoff-ready WeChat articles.
  • Content operations editors who need pre-publish checks for title, opening, layout semantics, and cover consistency.
  • Independent creators who want service notes or case reviews expanded into long articles without fabricated customer data or income claims.