Model Tracking Protocol

About

The Model Tracking Protocol is a mandatory framework designed for Claude Code to manage complex workflows involving two or more external AI models. It solves the common problem of fragmented results and lost data during parallel execution by enforcing a strict pre-launch checklist and real-time status updates. This skill provides structured templates for session management, failure documentation, and consensus analysis, ensuring that every multi-model review is comprehensive, measurable, and easy to audit.

Key Features

• Real-time tracking tables for monitoring parallel model progress
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• Automated session directory management and performance logging
• Mandatory pre-launch verification checklist for session initialization
• Standardized failure documentation for API errors and timeouts
• Built-in consensus analysis templates to compare model findings

Use Cases

• Performing parallel code reviews across multiple LLM providers for higher accuracy
• Benchmarking speed and quality metrics across different AI models
• Debugging complex orchestration tasks with structured error and status logs