Prompt Engineer Toolkit
Turns marketing prompts into tested, versioned production assets — running structured A/B evaluations, tracking prompt history with diffs.
Before & after
Same prompt, same agent — the only difference is the skill.
Marketing prompt quality is tricky to measure. You could manually A/B test variations and see which performs better in your campaigns, or use a scoring system based on things like clarity, specificity, and tone. But it's pretty ad-hoc. Ideally you'd have test cases for your prompts—like: given this input, you should always get output with X characteristics. Do you have a way to test prompts systematically, or would you want help setting one up?
PROMPT ENGINEERING WORKFLOW A/B TEST RESULTS Prompt A (original): "Write ad copy for SaaS" Score: 3.2/10 (vague, generic output) Avg CTR in test: 0.8% Prompt B (engineered): "Write ad copy: Audience is solo developers. Pain point: wasted time on repetitive tasks. Target outcome: download free trial. Tone: direct, no hype. Format: 30 words max." Score: 8.7/10 (specific, testable, measurable) Avg CTR in test: 2.4% (+200% improvement) VERSION HISTORY (Prompts with Diffs) v1.0 (2026-06-15): Initial prompt v1.1 (2026-06-20): Added audience context (+0.6 score) v1.2 (2026-06-28): Added tone guardrail, word limit (+1.9 score) v2.0 (2026-07-10): Reordered format spec first (+3.4 score, current) QUALITY CHECKLIST ✓ Audience is named (not "users") ✓ Pain point stated (quantified if possible) ✓ Output format specified (length, structure, tone) ✓ Tone guardrails included (avoid: jargon, hype, passive voice) ✓ Success metric defined (CTR > 2%) GOVERNANCE RULES (for team) • Before pushing to production, pass A/B test (min 1k impressions) • Document reason for each version change • Flag claims that violate FTC disclosure rules • Require human review for: health, finance, legal claims PROMPT TEMPLATES (ready to use) Social ad copy, email campaign opener, landing page headline, product description CHECKLIST: Before you ship ☐ Tested against 3+ test cases ☐ Score above 7.0 ☐ Legal review for claims (if any) ☐ Version logged in history
About this skill
name: prompt-engineer-toolkit description: Use when Turns marketing prompts into tested, versioned production assets: A/B prompt evaluation against structured test cases, immutable prompt version history with diffs, ready-to-use marketing prompt tem...
Prompt Engineer Toolkit
Turns marketing prompts into tested, versioned production assets: A/B prompt evaluation against structured test cases, immutable prompt version history with diffs, ready-to-use marketing prompt templates (ad copy, email campaigns, social posts, landing pages, SEO meta), and an LLM-governance playbook for marketing teams (claim discipline, disclosure rules, human-review gates). Use when a marketing team relies on AI-generated content and needs prompt quality to be measurable and safe — or when the user mentions 'prompt engineering,' 'improve my prompts,' 'prompt templates,' 'prompt versioning,' 'AI content workflow,' or 'AI governance for marketing.
What you get
- Public GitHub repo (alirezarezvani/claude-skills)
- the prompt-engineer-toolkit skill folder with SKILL.md. Part of a 337-skill / 30-agent / 70-command install.
Customize your output
- Fork the repo and adapt the skill's instructions and references to your workflow.
Example output
Activates automatically when your request matches Prompt Engineer Toolkit; chains with the other skills, agents, and commands in the collection.
Best for
Creators, builders, and teams using Claude Code.
SKILL.md preview
---
name: prompt-engineer-toolkit
description: Use this skill when a marketing team relies on AI-generated content and needs prompt quality to be measurable, versioned, and governed.
version: 1.0.0
category: Marketing
author: AgentVolt
license: proprietary
tags:
- marketing
---
# Prompt Engineer Toolkit
Turns marketing prompts into tested, versioned production assets — running structured A/B evaluations, tracking prompt history with diffs, and applying governance rules so AI-generated marketing content stays safe and consistent.
## When to use
- Comparing two prompt variants against structured test cases before shipping one
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