model-coordination
CommunityCoordinate 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 requiredComponents
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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