What problem does it solve?
This Skill helps you understand how people feel about a token or theme across major crypto communities so you can spot narrative shifts and crowd psychology earlier than price alone.
Core Features & Use Cases
- Platform-specific sentiment analysis across Twitter/X, Reddit, Discord, and Telegram with platform-aware noise handling.
- Sentiment scoring and weighted aggregation using a standardized -2 to +2 scale to quantify bullishness versus bearishness.
- Narrative detection and lifecycle tracking to identify dominant, rising, fading narratives and determine where each is in its lifecycle.
- Influencer and smart-follower signals that weight credible developers, analysts, and institutions over raw follower count.
- Crowd psychology indicators and contrarian signals to flag FOMO, capitulation, denial, and extreme sentiment conditions that often precede reversals.
- Actionable insight output format including token/topic, sentiment score with trend direction, social volume, platform breakdown, narrative insights, and recommended interpretation.
Quick Start
Use the social-sentiment-tracker skill to analyze recent social discussion about a specific token and summarize the dominant narrative, emerging themes, and the crowd’s likely psychology state.