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compare-prompts

Compare two LLM prompt versions by executing test inputs and measuring quality, token consumption, and latency.

Updated Jul 27, 2026
Search Tags:#optimization#llm#benchmarking#evaluation#prompt-engineering#ab-testing
One-click install
npx skills add https://github.com/whichguy/skill-craft --skill compare-prompts
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: compare-prompts
Source: https://github.com/whichguy/skill-craft/tree/main/plugins/compare-prompts/skills/compare-prompts
Command: npx skills add https://github.com/whichguy/skill-craft --skill compare-prompts

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill resolves the ambiguity of prompt engineering by providing a rigorous, data-driven framework to compare two prompt versions against real test inputs.

Core Features & Use Cases

  • Multi-Dimensional Evaluation: Automatically benchmarks prompts based on quality, token usage, and latency.
  • Position Bias Mitigation: Uses randomized ordering for pairwise judging to ensure objective results.
  • Use Case: Before deploying a new system prompt for a customer support agent, use this skill to compare the candidate version against the current baseline using a directory of historical support tickets to ensure the new version is both more accurate and cost-effective.

Quick Start

Run the compare-prompts skill by providing the baseline prompt file and the candidate prompt file to evaluate their performance against the specified test inputs directory.

Frequently Asked Questions about compare-prompts

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I A/B test LLM prompts to compare quality and cost?▼

A/B test LLM prompts by executing two prompt versions against a set of test inputs and measuring performance across quality, token consumption, and latency. The skill automates pairwise judging using advanced models to identify the superior instruction set.

What is the best way to benchmark prompt versions against historical data?▼

Benchmark prompt versions by pointing the skill to a directory of historical test inputs, such as support tickets. It executes both the baseline and candidate prompts against the dataset to evaluate accuracy and cost-effectiveness.

How does pairwise judging prevent position bias during prompt evaluation?▼

Pairwise judging prevents position bias by using randomized ordering when evaluating the outputs of the two prompt versions. This ensures the automated judge provides objective results without favoring a specific output sequence.

Do I need git to run automated prompt benchmarking?▼

Yes, you need git installed to run automated prompt benchmarking. The skill requires git for version resolution and access to the agent's task execution environment to perform parallel benchmarking of the prompt files.

What metrics are evaluated when comparing two prompt versions?▼

When comparing two prompt versions, the skill evaluates metrics across quality, token usage, and latency. This multi-dimensional evaluation helps determine if a candidate prompt is both more accurate and cost-effective than the baseline.

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