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prompt-engineer-toolkit

Compare prompt variants and score outputs for structured LLM tasks.

Updated Apr 24, 2026
Search Tags:#prompt-engineering#prompt-templates#ab-testing#regression-testing#prompt-versioning#marketing-ai
One-click install
npx skills add https://github.com/Veloxia-agency/VELOXIA-WEB --skill prompt-engineer-toolkit-veloxia-agency
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-engineer-toolkit
Source: https://github.com/Veloxia-agency/VELOXIA-WEB/tree/main/.claude/skills/marketing-skill/skills/prompt-engineer-toolkit
Command: npx skills add https://github.com/Veloxia-agency/VELOXIA-WEB --skill prompt-engineer-toolkit-veloxia-agency

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps teams move prompts from rough drafts to production-ready assets by making quality measurable, repeatable, and safe to change.

Core Features & Use Cases

  • A/B tests prompt variants against structured cases to identify the stronger prompt.
  • Scores outputs for expected content, forbidden content, format compliance, and output length sanity.
  • Tracks prompt versions, authors, notes, and diffs so changes can be reviewed before rollout.
  • Use it for marketing prompts such as ad copy, email campaigns, social posts, and other structured LLM workflows where regressions matter.

Quick Start

Run the prompt tester on two prompt files and a JSON case set to compare results and choose the higher-scoring version.

Frequently Asked Questions about prompt-engineer-toolkit

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

FAQPage Schema
How do I A/B test prompt variants for marketing copy?▼

Score marketing prompt outputs by evaluating expected content presence, forbidden content absence, format compliance, and output length sanity against structured test cases to ensure reliable LLM quality.

How does prompt versioning work for production LLM workflows?▼

Run regression testing on prompt changes by applying deterministic test-case scoring across versions, comparing unified diffs, and validating output quality before making rollout decisions.

Can I use prompt templates for email campaigns and social content?▼

Yes, this Skill works for marketing and content workflows without external dependencies, requiring only prompt files and a JSON case set to compare variants and generate scored rollout decisions.

What's the best way to prevent prompt regressions across model updates?▼

Prevent prompt regressions by maintaining immutable version history with unified diffs and running deterministic test-case scoring to validate that output quality remains stable across model or instruction changes.

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