edge-signal-aggregatorlisted

# 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) ## Workflow ### Step 1: Gather Upstream Skill Outputs Collect output files from the upstream skills you want to aggregate: - `reports/edge_candidate_*.json` from edge-candidate-agent - `reports/edge_concepts_*.yaml` from edge-concept-synthesizer - `reports/theme_detector_*.json` from theme-detector - `reports/sector_analyst_*.json` from sector-analyst - `reports/institutional_flow_*.json` from institutional-flow-tracker - `reports/edge_hints_*.yaml` from edge-hint-extractor ### Step 2: Run Sign