Individual skill

prompt-engineer-toolkit

Use when a marketing team's AI prompts need testing, versioning or governance, before shipping a prompt. A/B tests prompts against cases with prompt_tester.py and keeps diffed versions with prompt_versioner.py.

marketing-skill/skills/prompt-engineer-toolkit/SKILL.md

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Repository stars (not skill ratings): 29,481
Repository last updated: Nov 5, 2026
License: MIT

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agentic-ai Repository topic
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claude-skills Repository topic
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README.mddoc · 1,244 bytes
SKILL.mdcore · 5,330 bytes
SKILL.mdcore · 5,330 bytes
SKILL.mdcore · 5,330 bytes
references/evaluation-rubric.mddoc · 4,752 bytes
references/prompt-templates.mddoc · 6,097 bytes
references/technique-guide.mddoc · 5,983 bytes
scripts/prompt_tester.pyruns · 7,793 bytes
scripts/prompt_versioner.pyruns · 8,111 bytes

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# Prompt Engineer Toolkit

## Overview

Use this skill to move prompts from ad-hoc drafts to production assets with repeatable testing, versioning, and regression safety. It emphasizes measurable quality over intuition. Apply it when launching a new LLM feature that needs reliable outputs, when prompt quality degrades after model or instruction changes, when multiple team members edit prompts and need history/diffs, when you need evidence-based prompt choice for production rollout, or when you want consistent prompt governance across environments.

## Core Capabilities

- A/B prompt evaluation against structured test cases
- Quantitative scoring for adherence, relevance, and safety checks
- Prompt version tracking with immutable history and changelog
- Prompt diffs to review behavior-impacting edits
- Reusable prompt templates and selection guidance
- Regression-friendly workflows for model/prompt updates