idea-generation-engine

Orchestrate multi-source equity idea generation and rank candidates into structured outputs.

Updated Mar 20, 2026

Search Tags:#automation #multi-source #debate #ranking #idea-generation #signal-fusion #equities

Ready to run

npx skills add https://github.com/Eveyz/agentskills --skill idea-generation-engine

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: idea-generation-engine
Source: https://github.com/Eveyz/agentskills/tree/main/idea-generation-engine
Command: npx skills add https://github.com/Eveyz/agentskills --skill idea-generation-engine

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrate multi-source equity idea generation by combining insider activity, short-squeeze setups, M&A signals, and sentiment-versus-fundamental divergence. Use when Codex needs long ideas, short ideas, or event-driven trades and should compare competing theses through multi-round debate or independent agent passes before ranking candidates.

Core Features & Use Cases

Centralized orchestration of signals from multiple alpha modules to surface candidate ideas.
Structured multi-round debate to validate ideas and surface robust theses.
Automatic ranking and categorization into long_ideas, short_ideas, and event_driven_trades with a concise debate summary and cross-signal alignment.

Quick Start

Invoke the idea-generation-engine workflow to surface, debate, and rank long, short, and event-driven ideas from the available modules.

Frequently Asked Questions about idea-generation-engine

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

FAQPage Schema

How do I generate long and short equity ideas from multiple trading signals?▼

Equity idea generation combines insider activity, short-squeeze setups, M&A signals, and sentiment-versus-fundamental divergence. The engine normalizes these candidates and categorizes them into long ideas, short ideas, and event-driven trades.

What is the best way to validate competing investment theses before ranking?▼

Validating competing theses uses structured multi-round debate or independent agent passes. This process compares the conflicting investment rationales and outputs a debate summary with cross-signal alignment before final ranking.

How does multi-source signal fusion work for event-driven trade detection?▼

Multi-source signal fusion for event-driven trades merges M&A signals with sentiment-fundamental divergence. It normalizes the data to surface event-driven setups and outputs structured results for ranking.

Can I automate cross-signal alignment without manual review?▼

Automating cross-signal alignment is supported through independent agent passes. The engine processes insider activity and short-squeeze setups to output a structured alignment summary without manual intervention.

What inputs do I need for automated equity idea ranking?▼

Automated equity idea ranking requires inputs from multiple alpha modules. It uses signals like insider activity, short-squeeze setups, and sentiment-fundamental divergence to categorize and rank long, short, and event-driven candidates.