What problem does it solve?
WeChat Moments feeds mix genuine life events with promotion, engagement bait, and small talk, making it hard to spot what actually deserves attention or a reply. This Skill turns an exported Moments feed into a short ranked digest so real news from real relationships rises to the top.
Core Features & Use Cases
- Relationship-weighted ranking: Scores posts by event weight multiplied by how much the user actually messages each author, so a close friend's small update outranks a stranger's big announcement.
- Insight vs. announcement detection: Separates posts containing verifiable information, mechanisms, or real costs from promotion wearing a personal voice.
- Auditable digest output: Produces a concise digest with separate sections for strong ties and useful weak-tie content, showing the relationship numbers behind every ranking.
- Use Case: After exporting your Moments data, ask for a digest of what you missed this week and get ten or fewer ranked items, with lapsed close friends' life events surfaced first.
Quick Start
Summarize my WeChat Moments export and rank what deserves a reply based on how much I talk to each person.