prompt-optimizer
Installation
SKILL.md
Overview
Prompt optimization is the engineering of intent into machine-executable instructions. This skill applies the 4-D Methodology (Deconstruct, Diagnose, Develop, Deliver) to ensure that prompts are clear, structured, and optimized for specific model architectures (e.g., Claude's XML tagging vs. OpenAI's Markdown preference).
Iron Law
NO PROMPT SHIPS WITHOUT RUNNING THE 4-D AUDIT
Failing to audit a prompt leads to "drift"—where the AI's output gradually diverges from the user's intent due to ambiguity or structural weakness.