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Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a…
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)
don't have the plugin yet? install it then click "run inline in claude" again.