WeChat Viral Radar

Problem

Choosing WeChat Official Account topics often depends on guessing which posts were truly viral. Public pages usually expose only 10万+ signals, not exact read counts, and search sources may be throttled, captcha-gated, or sparse. This skill turns scattered public signals into an actionable content report instead of a raw link list.

How It Works

• Supports chat-only, script, and manual fallback paths.
• Filters by track, freshness, mode, report-style, keywords, and limit across AI, finance, emotion, education, and other tracks.
• Collects candidate articles from public search, WeChat article search, and visible public list pages, then labels evidence with confirmed_100k_public, suspected_viral, or topic_candidate.
• Generates modules such as insight summary, top topics, title formulas, audience pain points, creative angle bank, 3-day publishing plan, and risk notes.
• If live collection fails, it produces a fallback query pack for manual follow-up.

Boundaries

It relies on public web signals and does not guarantee full coverage of WeChat articles or exact read counts. When sources are throttled, captcha-gated, or broken, treat source_warning and manual verification as the source of truth rather than bypassing logins or private dashboards.