baseball-research-advisor

What problem does it solve?

This Skill provides a critical review of baseball analytics methodologies, ensuring decisions are logically defended and assumptions are explicitly handled.

Core Features & Use Cases

• Critical Analysis: Peer review of baseball analytics methodology, modeling decisions, and statistical assumptions.
• Reference Standards: Evaluates against a set of established research papers in baseball analytics.
• Challenging Decisions: Demands explicit justification for data choice, feature engineering, modeling approach, evaluation methodology, and statistical assumptions.
• Review Output: Provides strengths, weaknesses, questions to defend, alternative approaches, confidence assessment, and decision defensibility scoring.

Quick Start

Review the methodology of the baseball analytics report found in 'report.pdf'.