dueling-autoresearch

What problem does it solve?

This Skill addresses the challenge of comparing two different approaches (e.g., algorithms, models) against the same metric in an automated, iterative fashion, allowing users to observe the relative performance and development over time.

Core Features & Use Cases

• Automated Research Loop: Runs two separate analysis-first research loops in parallel, comparing two approaches.
• Shared Metric: Both approaches compete on a single, shared metric, ensuring fair and comparable results.
• Use Case: Ideal for evaluating the effectiveness of a new algorithm against an established one or for comparing two different model architectures.

Quick Start

Use the dueling-autoresearch skill to compare two strategies for optimizing a neural network model, 'stratA' and 'stratB', using the metric 'validation accuracy'.