wk-gzh-refine

To extract objective facts from a WeChat public account article, input the post text to automatically separate factual data, dates, and events from subjective author viewpoints, producing a structured summary with traceable sources.

Separating facts from opinions in long-form WeChat posts is done by applying fact-vs-opinion classification to identify specific data and author perspectives, outputting structured summaries that highlight counter-intuitive viewpoints for verification.

Yes, you can build a timeline of events from multiple WeChat public account articles, as the skill supports parallel analysis of long-form posts to assemble chronological event timelines and structured data tables from extracted sources.

Yes, this tool works with opinion pieces to identify subjective viewpoints by classifying text into objective facts and subjective author perspectives, explicitly marking counter-intuitive opinions and emotional attitudes for cleaner decision-making.

You get structured summaries with sources from WeChat articles by directly inputting the article text, which triggers the system to extract key points, classify information, and output an organized summary with traceable source references.