What problem does it solve?
Cluster the top 100 highest-signal tweets for a resolved or user-specified crypto project into hot topics using Kaito MCP tools. Use this skill when you want a past-window social listening report with topic tagging, author enrichment, urgency scoring, and concrete response guidance.
Core Features & Use Cases
- Resolve the project identity from a token or unresolved keyword and fetch the broad external tweet corpus (top 100) while excluding the project's own handle and known affiliates.
- Enrich authors with display name, handle, avatar, bio, smart followers, and account role, and determine whether each author is new or existing relative to the project window.
- Cluster tweets into hot topics with concise titles, theses, and ordered tweet lists, then apply taxonomy tags (up to 3) and urgency scoring per tweet.
- Produce a structured output including a Summary and a Hot Topics section, with per-tweet details and concrete suggested actions.
- Support both resolved-token mode and unindexed keyword mode, with window bounds and handle exclusions applied consistently.
Quick Start
Run this skill to generate a past-window social listening report for a crypto project by resolving identity, fetching top tweets, and outputting topical clusters with suggested actions.
