prompt-benchmark

What problem does it solve?

This Skill provides a systematic framework for evaluating and comparing the effectiveness of different AI prompts across various standardized benchmarks, enabling quantitative analysis of prompt quality and improvement.

Core Features & Use Cases

• Benchmark Execution: Runs prompts against MATH, GSM8K, HumanEval, and MMLU datasets.
• Prompt Strategy Comparison: Facilitates A/B testing of prompt engineering techniques like Chain-of-Thought and Tree-of-Thought.
• Quantitative Analysis: Provides accuracy metrics, statistical summaries, and confidence intervals for reliable evaluation.
• Use Case: Compare the performance of a new meta-prompting strategy against a baseline for solving arithmetic reasoning problems, ensuring a statistically significant improvement before deployment.

Quick Start

Run the prompt-benchmark skill to compare Chain-of-Thought and Tree-of-Thought prompts on the Game of 24 benchmark.