WeChat Topic Master

What It Solves

Writing for a WeChat official account often stalls at topic selection: editors may not know what is trending, which topics fit SEO, or which phrasing risks compliance issues. A common workflow is manually searching Zhihu, Xiaohongshu, Weibo, and WeChat articles, then scoring candidates in a spreadsheet. 公众号选题大师 compresses that loop into one input path: it turns hot signals into ranked topic cards with title options, outlines, abstracts, and compliance notes.

How It Works

The skill first classifies the request:
- A Specific topic: propose 3-4 angles around a concrete theme.
- B Domain only: filter 3-5 candidate topics within the given niche.
- C No direction: generate 10 candidates, usually 7-8 hot topics and 2-3 evergreen items.
- D Series planning: output a series spine, then break it into individual articles.

The workflow uses WebSearch, and WebFetch when full-text review is useful. It pulls signals from public platforms such as Zhihu, Xiaohongshu, WeChat, Weibo, and Toutiao, then scores each candidate. SEO scoring separates search demand signals from structural reachability, while the compliance gate flags issues like exaggerated claims, fabricated experience, and share-bait. For every candidate, it produces title variants, a recommended angle, an outline preview, an abstract draft, click-through potential, SEO notes, optimization suggestions, and a content framework.

Limits

This is best used as a pre-writing research assistant for WeChat topic planning, especially when an editor needs to compare trends, long-tail opportunities, and compliance exposure before drafting. SEO scores may rely on public search signals and can be marked as estimates when backend data is unavailable. Hot-topic coverage also depends on public search results and fetchable pages. It does not automatically write the final article; the user still needs to select a topic and continue with writing or layout tools.