thesis-cluster-detector
OfficialGroup news into underlying investment theses.
System Documentation
What problem does it solve?
Ingests a batch of enterprise AI or technology news items (from RSS, Substack previews, or pasted headlines) and clusters them by underlying investment thesis using embedding similarity or keyword co-occurrence, then emits a "what is the underlying bet" briefing when a cluster reaches a configurable threshold. Use when the user says "thesis cluster", "what's the underlying bet here", "cluster these stories", "detect the pattern", or pastes multiple news items and wants to know if they are separate events or a single coordinated bet.
Core Features & Use Cases
- Thesis detection: cluster multiple items to surface shared investment theses.
- Mode versatility: supports interactive pastes, batch file processing, or scheduled feed scanning.
- Briefing output: emits a deterministic one- or multi-cluster briefing when thresholds are met, plus singleton notes for isolated items.
Quick Start
Provide a batch of headlines or summaries, and the system will cluster them by underlying investment thesis.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: thesis-cluster-detector Download link: https://github.com/m2ai-portfolio/m2ai-skills-pack/archive/main.zip#thesis-cluster-detector Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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