Edge Signal Aggregator

Overview

Combine outputs from multiple upstream edge-finding skills into a single weighted conviction dashboard. This skill applies configurable signal weights, deduplicates overlapping themes, flags contradictions between skills, and ranks composite edge ideas by aggregate confidence score. The result is a prioritized edge shortlist with provenance links to each contributing skill.

When to Use

• After running multiple edge-finding skills and wanting a unified view
• When consolidating signals from edge-candidate-agent, theme-detector, sector-analyst, and institutional-flow-tracker
• Before making portfolio allocation decisions based on multiple signal sources
• To identify contradictions between different analysis approaches
• When prioritizing which edge ideas deserve deeper research

Prerequisites

• Python 3.9+
• No API keys required (processes local JSON/YAML files from other skills)
• Dependencies: pyyaml (standard in most environments)