model-coordination

Community

Coordinate multi-model AI for transparent trading

AuthorAkhilGurrapu
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill coordinates multiple AI models to analyze trading scenarios and generate a consolidated decision.

Core Features & Use Cases

  • Multi-model orchestration: Run enabled models in parallel to evaluate the same ticker and date.
  • Consensus aggregation: Compute majority decisions, confidence, and identify outliers for auditing.
  • Auditability & transparency: Log complete model reasoning into ModelChat for review and compliance.
  • Performance monitoring: Maintain per-model portfolios and a leaderboard to compare results over time.

Quick Start

To begin, configure which models are enabled in the config, supply the ticker/date, and run the model-coordination workflow. The system will execute models in parallel, aggregate decisions, and present a consolidated result along with a transparent reasoning trace.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: model-coordination
Download link: https://github.com/AkhilGurrapu/kubera/archive/main.zip#model-coordination

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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