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edge-signal-aggregator

Aggregate and rank signals from edge-finding skills into a weighted conviction dashboard.

2|Updated Apr 6, 2026
Search Tags:#portfolio management#investment analysis#edge detection#signal aggregation#investment decision-making
One-click install
npx skills add https://github.com/k1064190/stock-expectation --skill edge-signal-aggregator-k1064190
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: edge-signal-aggregator
Source: https://github.com/k1064190/stock-expectation/tree/main/.claude/skills/_archived/edge-signal-aggregator
Command: npx skills add https://github.com/k1064190/stock-expectation --skill edge-signal-aggregator-k1064190

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill consolidates and ranks signals from various edge-finding skills into a prioritized dashboard, helping users make informed investment decisions.

Core Features & Use Cases

  • Signal Aggregation: Combines outputs from multiple edge-finding skills (e.g., edge-candidate-agent, theme-detector) into a single weighted conviction dashboard.
  • Signal Weighing: Applies configurable signal weights and ranks composite edge ideas by aggregate confidence score.
  • Deduplication: Eliminates overlapping themes and flags contradictions between skills.
  • Use Case: Before making a portfolio allocation decision, use this Skill to review a consolidated list of prioritized edge ideas, considering signals from various sources.

Quick Start

Run the skill to aggregate signals from the specified reports.

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 investment signals from multiple analysis tools into one dashboard?▼

Signal aggregation consolidates outputs from multiple edge-finding skills into a single weighted conviction dashboard. It combines various analysis reports into a prioritized list to support portfolio allocation decisions.

What is signal deduplication in investment analysis?▼

Signal deduplication eliminates overlapping themes and flags contradictions between different edge-finding skills. This process ensures the aggregated conviction dashboard displays unique edge ideas without redundant or conflicting signals.

How do I rank composite edge ideas by aggregate confidence score?▼

Rank composite edge ideas by applying configurable signal weights to aggregated inputs from various edge-finding skills. The Skill calculates an aggregate confidence score to prioritize the investment signals on the conviction dashboard.

Does this signal aggregation tool require Python and specific dependencies?▼

Yes, this signal aggregation tool requires Python 3.9 or higher and depends on the pyyaml library. You must have this environment configured to run the Skill and aggregate the edge-finding reports.

Can I use this with edge-candidate-agent and theme-detector outputs?▼

Yes, you can use this with edge-candidate-agent, theme-detector, and sector-analyst outputs. The Skill specifically aggregates and ranks signals from these multiple edge-finding skills into one consolidated conviction dashboard.

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