How does the toolkit score prompt quality?

It uses quantitative metrics including regex compliance, keyword coverage, and exclusion checks to provide a deterministic score for each prompt variant against defined test cases.

Does it support testing different LLM models?

Absolutely. The toolkit is designed to isolate variables, making it ideal for testing how a specific prompt performs when swapping between different models or versions.

Can I use this for non-marketing prompts?

Yes, while it includes marketing-specific templates, the core A/B testing and versioning framework works for any LLM task including code generation and data extraction.

How do I track changes to my prompts?

The built-in versioner creates immutable snapshots of your prompts with author metadata and change notes, allowing you to run diffs and view changelogs similar to code.

Prompt Engineer Toolkit

Name: Prompt Engineer Toolkit
Author: alirezarezvani

byalirezarezvani

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8,642

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营销自动化

Optimizes AI prompts and marketing content workflows through automated A/B testing, version control, and quantitative performance scoring.

The Prompt Engineer Toolkit transforms ad-hoc prompt writing into a rigorous engineering discipline for marketing and product teams. It enables users to move from intuition-based drafts to production-grade assets using automated A/B testing against structured test cases, quantitative scoring for output relevance, and a robust versioning system. Whether you are launching new LLM features or refining complex marketing copy, this skill provides the evidence-based framework needed to maintain high-quality AI outputs, track regressions, and manage prompt lifecycles with Git-like precision.

主要功能

01Structured regression loops for model and instruction updates

028,642 GitHub stars

03Library of reusable marketing templates for ads and email campaigns

04Immutable prompt versioning with history and changelogs

05Validation via regex, forbidden content checks, and schema compliance

06Automated A/B testing with quantitative scoring and metrics

使用场景

01Improving the quality and consistency of AI-generated marketing copy

02Validating prompt performance when switching between different LLM models

03Managing collaborative prompt development with version history and diffs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add alirezarezvani/claude-skills prompt-engineer-toolkit

For use in Claude.ai and ChatGPT

主要功能

01Structured regression loops for model and instruction updates

028,642 GitHub stars

03Library of reusable marketing templates for ads and email campaigns

04Immutable prompt versioning with history and changelogs

05Validation via regex, forbidden content checks, and schema compliance

06Automated A/B testing with quantitative scoring and metrics

使用场景

01Improving the quality and consistency of AI-generated marketing copy

02Validating prompt performance when switching between different LLM models

03Managing collaborative prompt development with version history and diffs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add alirezarezvani/claude-skills prompt-engineer-toolkit

For use in Claude.ai and ChatGPT