Edge Signal Aggregator

Combines outputs from multiple edge-finding skills into a single ranked dashboard with weighted scoring and contradiction detection. You run this after collecting signals from edge-candidate-agent, theme-detector, sector-analyst, and other upstream tools to get a unified view before making allocation decisions. It deduplicates overlapping themes, flags when different skills contradict each other (like sector-analyst being bearish while institutional-flow-tracker shows heavy buying), and tracks provenance so you know which skills contributed to each idea. The weights are configurable if you trust certain signals more than others. Honest take: this is glue code with opinions about how to combine signals, and those opinions matter more than the aggregation itself.

skills.sh installs: 3.4K
GitHub stars: 3.7K
last updated: Aug 21, 2026

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Install

$ npx -y skills add tradermonty/claude-trading-skills --skill edge-signal-aggregator --agent claude-code

Installs into .claude/skills of the current project.

Files

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