Middle-Aged Emotional WeChat Article Writer

Problem

Middle-aged emotional WeChat articles often fail because topics repeat, titles feel templated, the body reads like generic AI copy, and the ending collapses into abstract advice. This skill turns that writing task into a repeatable production workflow for 1,500-2,000-word pieces focused on family, marriage, late-life reflection, and nostalgia.

How It Works

It runs an internal 9-stage pipeline: select a topic from a reference bank, generate 10 candidate titles with different hooks and compare their appeal, novelty, and compliance risk, then outline the article. The writing stage applies concrete constraints such as behavior over exposition, colloquial phrasing, imperfect characters, and specific objects. After drafting, it performs AI-trace reduction, compliance checks, scoring, and revision. The final output includes clean text, HTML snippets, and a self-contained HTML workbench with title analysis, article scoring, compliance checks, AI-risk estimates, full article text, and copy controls. For sharing, it can package relative asset paths or embed a contact QR image when needed.

Boundaries

Use it only for middle-aged emotional, life, family, marriage, late-life, or nostalgia content. Do not use it for tech, finance, stocks, IPO, AI models, semiconductors, company earnings, or corporate news. It provides internal AI-risk estimates and revision guidance, not certified third-party AI detection results.