Tool Experimenter

概要

This skill facilitates the development of production-ready research tools by orchestrating a structured experimentation framework designed for maximum accuracy and reliability. It manages a massive testing scale—often exceeding 50 runs per tool—to compare diverse strategic approaches, refine data schemas, and optimize source selection. By guiding tools through initialization, broad experimentation, deep refinement, and final optimization, it ensures that every capability is empirically validated for accuracy, scalability, and practical utility in grounding AI outputs.

主な機能

• Iterative refinement cycles using automated quality metrics and agent feedback
• Comprehensive cross-experiment evaluation to identify winning methodologies
• Source and method optimization analysis for predictable and scalable data access
• Parallelized execution of diverse research approaches to maximize testing speed
• 2 GitHub stars
• Multi-phase experimentation workflow from planning to production optimization

ユースケース

• Developing and validating new biblical research or study tools
• Refining tool schemas to ensure consistent output quality across diverse datasets
• Comparing different data extraction strategies for grounding large language models