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Caixin-Style Financial Writing Tool for WeChat Official Accounts icon

Caixin-Style Financial Writing Tool for WeChat Official Accounts

Content Creation Updated 2026.08.30

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

Please install @user_33ddb46a/weixin-article-writer following the guide at https://skillhub.cn/install/skillhub.md.

About this skill

The Core Problem in Financial Content Creation

Many WeChat Official Account financial articles suffer from two deep-seated issues. First is stylistic homogenization: in pursuit of traffic, articles are flooded with emotional phrases like "absolutely shocking" or "major bullish catalyst," sacrificing professional information density. Second is shallow analysis: viewpoints often rely on intuitive association rather than solid data and reasoning chains, failing to withstand scrutiny from industry insiders. This deprives readers of reliable, incremental insights.

This skill is designed specifically to address this dilemma. It simulates the workflow of a seasoned financial editor, aiming to produce articles that meet Caixin's journalistic professionalism standards: accurate facts, rigorous logic, calm and restrained language, and evidence-backed judgment.

Core Capabilities and the Six-Step Workflow

The skill's core is an enforced, disciplined writing process. It is not simple text generation but a production line with quality gates. Its key capabilities and steps are:

1. Topic Review & Framework Construction
It first conducts a web search reconnaissance to assess the topic's homogeneity and "egocentricity" (i.e., the need to avoid sensitive content). After the user confirms the direction, the skill automatically builds an article skeleton and executes a first round of research. Research requires search terms with qualifiers and strict differentiation of source credibility levels (T1 official documents to T4 unusable information).

2. Inference Discipline & Fact Spot-Check
This is the skill's core quality control stage. All key facts supporting the argument must pass a "fact spot-check," which verifies their timeliness, credibility, and classifies each inference (Factual Statement / Reasonable Inference / Supported Speculation). The skill embeds five hard rules, forcing the author to avoid:
- Bare Causation (asserting "A causes B" without mechanism)
- Borderless Extrapolation (e.g., directly deriving long-term trends from quarterly data)
- Bare Analogy (e.g., stating "China's Facebook" without explaining comparability)
- Implicative Juxtaposition (implying a link between two events without evidence)
- Overstepped Attribution (treating speculation as confirmed fact)

3. Structured Writing & De-AIification
Draft writing follows a strict financial article structure: the opening must use a traceable fact, the body uses a maximum of two ## subheadings (which must convey a judgment) to separate major sections, and numbered lists are forbidden. "De-AIification" checks are performed in real-time during writing, replacing hollow phrases like "additionally" or "it's crucial to emphasize," and inflated expressions, ensuring calm, high-density prose.

4. Three Rounds of Mandatory Review & Revision
- Reverse Verification: Re-reads the entire text against the "Five Quality Bottom Lines" (Authenticity, Rationality, Honesty, Professionalism, Readability) and outputs a detailed audit report, pointing out issues like "bare causation" or "data piling."
- Fine-tuning: Revises the article based on the audit report.
- Fact Authenticity Check: Conducts a final verification of all key facts and data to ensure no fundamental errors.

The final deliverable is the article-draft.md file polished through this complete pipeline.

Applicable Boundaries and Key Considerations

This skill has clear operational boundaries and limitations:

  • Content Type: Exclusively focused on financial and investment topics, such as listed company analysis, industry trends, and macroeconomic interpretation. It is unsuitable for general social, entertainment, or purely emotional content.
  • Output Specifications: The generated article is fixed at 1500-2000 words, optimized for mobile reading on WeChat Official Accounts.
  • Rigid Style: It strictly adheres to the Caixin style—this means the article will be calm, professional, and data-driven, with no clickbait, emotional incitement, or forced elevations. If your goal is viral spread, this is not the appropriate tool.
  • Dependency & Limitations: The workflow is heavily reliant on WebSearch for fact-checking and research. Its output quality directly depends on the quality and accessibility of public information. It cannot perform analyses requiring internal interviews or highly confidential data.
  • Ultimate Responsibility: The skill provides a rigorous process and discipline, but the final accuracy of content and soundness of judgment still require the user (acting as an "editor") to make key decisions at stages like Step 0 (topic confirmation) and Step 3 (reverse verification). It is a powerful auxiliary tool, not an opaque "black box" that replaces human judgment entirely.

Use Cases

  • Need to write an in-depth analysis article on an industry trend for a company or personal official account, requiring data-backed arguments and a professional, calm tone.
  • After researching a listed company's financial report or industry data, need to transform it into an official account analysis稿 for investors that adheres to journalistic professionalism standards.
  • As a financial content creator, aim to systematically upgrade article quality from emotional commentary to deep content with independent judgment and rigorous logical chains.

Best For

  • Financial content creators who need to regularly produce in-depth content to build professional authority, but may lack systematic training in journalistic writing.
  • Analysts at investment institutions or corporate strategy departments who need to convert core insights from internal research reports into publicly releasable, logically rigorous analysis articles.
  • Students or scholars in finance/economics fields, learning how to translate academic or research perspectives into language suitable for public dissemination, aligned with mainstream financial media standards.