edge-signal-aggregator

1# Edge Signal Aggregator
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3## Overview
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5Combine 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.
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7## When to Use
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9- After running multiple edge-finding skills and wanting a unified view
10- When consolidating signals from edge-candidate-agent, theme-detector, sector-analyst, and institutional-flow-tracker
11- Before making portfolio allocation decisions based on multiple signal sources
12- To identify contradictions between different analysis approaches
13- When prioritizing which edge ideas deserve deeper research
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15## Prerequisites
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17- Python 3.9+
18- No API keys required (processes local JSON/YAML files from other skills)
19- Dependencies: `pyyaml` (standard in most environments)
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21## Workflow
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23### Step 1: Gather Upstream Skill Outputs
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25Collect output files from the upstream skills you want to aggregate:
26- `reports/edge_candidate_*.json` from edge-candidate-agent
27- `reports/edge_concepts_*.yaml` from edge-concept-synthesizer
28- `reports/theme_detector_*.json` from theme-detector
29- `reports/sector_analyst_*.json` from sector-analyst
30- `reports/institutional_flow_*.json` from institutional-flow-tracker
31- `reports/edge_hints_*.yaml` from edge-hint-extractor
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