Individual skill
edge-signal-aggregator
Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.
skills/edge-signal-aggregator/SKILL.md
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SKILL.mdcore · 11,925 bytesSKILL.mdcore · 11,925 bytesSKILL.mdcore · 11,925 bytesSKILL.mdcore · 11,925 bytesSKILL.mdcore · 11,925 bytesassets/default_weights.yamlasset · 1,254 bytesreferences/signal-weighting-framework.mddoc · 7,525 bytesrequirements.txtdoc · 123 bytesscripts/aggregate_signals.pyruns · 64,204 bytesscripts/tests/conftest.pyruns · 276 bytesscripts/tests/test_aggregate_signals.pyruns · 56,387 bytes
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# 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
