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edge-signal-aggregator

Aggregate and rank edge-finding signals into a prioritized JSON and Markdown dashboard.

Updated Mar 25, 2026
Search Tags:#dashboard#provenance#deduplication#weights#aggregate#contradictions#edge-signals
One-click install
npx skills add https://github.com/MileniumTick/skills --skill edge-signal-aggregator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: edge-signal-aggregator
Source: https://github.com/MileniumTick/skills/tree/main/skills/edge-signal-aggregator
Command: npx skills add https://github.com/MileniumTick/skills --skill edge-signal-aggregator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires PyYAML, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Aggregate and rank signals from multiple upstream edge-finding skills into a unified conviction dashboard.

Core Features & Use Cases

  • Aggregate outputs from edge-candidate-agent, theme-detector, sector-analyst, and institutional-flow-tracker to surface coherent insights.
  • Apply configurable weights, deduplication, and contradiction detection to ensure provenance and consensus.
  • Use case: consolidate signals to identify top edge ideas for portfolio review and research planning.

Quick Start

Provide a ranked edge-signal dashboard by aggregating upstream outputs and applying weights, deduplication, and contradiction checks.

Frequently Asked Questions about edge-signal-aggregator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I aggregate multiple edge signals into a single ranked dashboard?▼

Signal deduplication works by identifying overlapping edge candidates from different upstream skills. Contradiction detection then flags opposing signals, ensuring the final dashboard only surfaces coherent, consensus-driven insights with full provenance tracking.

Can I apply custom weights to prioritize specific upstream edge-finding outputs?▼

You can apply configurable weights to prioritize specific upstream edge-finding outputs. This allows you to emphasize signals from sources like institutional-flow-tracker or sector-analyst based on your research planning and portfolio review needs.

What is the best way to consolidate sector and institutional flow signals for portfolio review?▼

Consolidate sector and institutional flow signals by aggregating outputs from upstream skills like sector-analyst and institutional-flow-tracker. The unified dashboard surfaces top edge ideas with provenance, deduplication, and contradiction checks for portfolio review.

Does the edge-signal-aggregator require PyYAML to process signal configurations?▼

The edge-signal-aggregator requires PyYAML as a dependency to process signal configurations. It uses this dependency to parse the configurable weights and settings needed for deduplication and contradiction detection.

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