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.
npx skills add BaggaT236/AI-Trading-Skills --skill edge-signal-aggregator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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_*
- Overview
- When to Use
- Prerequisites
- Workflow
- Step 1: Gather Upstream Skill Outputs
- Step 2: Run Signal Aggregation
- Step 3: Review Aggregated Dashboard
- Step 4: Act on High-Conviction Signals
- Output Format
- JSON Report
- Markdown Report
- Resources
- Key Principles
python3 skills/edge-signal-aggregator/scripts/aggregate_signals.py \
What does the edge-signal-aggregator skill do?
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.
How do I install it?
Run `npx skills add BaggaT236/AI-Trading-Skills --skill edge-signal-aggregator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BaggaT236/AI-Trading-Skills, a repository with 118 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.