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RedFox AI WeChat Daily

Content Creation Updated 2026.08.29

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

Please install @user_e942ebfc/wechat-ai-article--redfox following https://skillhub.cn/install/skillhub.md.

About this skill

Problem

Tracking AI updates in WeChat official accounts can be noisy. Articles are scattered, titles overlap, hot topics shift daily, and the same topic often appears across multiple accounts. Manual reading makes it hard to decide what deserves attention or to collapse repetitive coverage into a usable summary.

How It Works

This skill filters, clusters, and presents same-day AI WeChat content:
- Viral discovery: selects popular posts from roughly 200 candidates by read count, reducing manual triage.
- Topic clustering: infers daily directions from titles, tags, and topic terms, such as Agent, LLM, and AI painting; categories are not fixed.
- Visual daily report: generates a dark-theme HTML page with cover images, engagement metrics, direct article links, and date navigation.
- Full-library search: provides an in-page search box backed by a local proxy to query the full article store with fuzzy matching across dates.

Boundaries

It requires an API key, set via the REDFOX_API_KEY environment variable or the --api-key flag. Reports default to ~/Downloads/QoderReports/, and --output-dir can change the destination. Use --count to widen the scan and --keywords to adjust focus; daily categories depend on that day's content.

Use Cases

  • Operators pick the day’s hot AI WeChat articles from multiple accounts and assemble them into a shareable report.
  • Researchers review same-day Agent or LLM hotspots and trace which articles cover repeated topics.
  • Editors search the historical article library before publishing to find coverage of a model update across dates.
  • Community leads archive viral AI WeChat posts and use engagement metrics to decide which topics to follow.

Best For

  • Editors curating AI industry content need to identify viral WeChat posts and emerging daily topics.
  • Product managers tracking LLM trends need to review same-day articles around Agent or AI painting.
  • Analysts doing competitive or sentiment research need to search the full article library and compare coverage over time.
  • Community operators maintaining tech content pools need to turn daily hot WeChat articles into archivable HTML reports.