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Analyzes and rewrites prompts for better AI output, creates reusable prompt templates for marketing use cases (ad copy, email campaigns, social media), and…
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 Key Workflows 1. Run Prompt A/B Test
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